﻿FN Clarivate Analytics Web of Science
VR 1.0
PT J
AU Yang, CJ
   Ren, XL
   Huang, H
AF Yang, Cunjian
   Ren, Xiaolan
   Huang, He
TI The vegetation damage assessment of the Wenchuan earthquake of May 2008
   using remote sensing and GIS
SO NATURAL HAZARDS
DT Article
DE Damage vegetation; Wenchuan earthquake; Remote sensing
AB The methodology for assessing the vegetation damaged by the Wenchuan earthquake by using the technologies of remote sensing and GIS was discussed in Dujiangyan city of Sichuan Province, China. The model of extracting vegetation from CBERS images was formulated using the differentiation knowledge of vegetation and non-vegetation discovered by image analysis and geographic analysis. The damage degree index (DDI) of the vegetation was defined here, which was the difference of the normalized difference vegetation index before the earthquake and that after earthquake. The China-Brazil Earth Resource Satellite (CBERS)-02's images acquired, respectively, on 6 May and 27 June 2008, the model of extracting vegetation, and DDI were used to obtain the information about the area and degree of the damage vegetation in the study. There was 87.94 square kilometers vegetation damaged by Wenchuan earthquake, which accounted for 7.9% of the total area in Dujiangyan city. The area percentage of the damage vegetation in each grade related strongly and positively to the elevation grade and slope grade and weakly related to the aspect type. The distribution characteristics of the damage vegetation were useful for making plan of restoring vegetation here.
C1 [Yang, Cunjian; Ren, Xiaolan; Huang, He] Sichuan Normal Univ, Minist Educ, Res Ctr Remote Sensing & GIS Applicat, Key Lab Land Resources Evaluat & Monitoring SW, Chengdu 610066, Peoples R China.
C3 Sichuan Normal University
RP Yang, CJ (corresponding author), Sichuan Normal Univ, Minist Educ, Res Ctr Remote Sensing & GIS Applicat, Key Lab Land Resources Evaluat & Monitoring SW, Chengdu 610066, Peoples R China.
EM yangcj2008@126.com
TC 13
Z9 20
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
PD MAY
PY 2012
VL 62
IS 1
BP 45
EP 55
DI 10.1007/s11069-011-0036-x
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000302408500005
ER

PT J
AU Wang, DF
   Liu, L
   Luo, C
   Wen, XH
   Li, YX
   Ren, DY
   Tang, W
AF Wang, Defu
   Liu, Li
   Luo, Chao
   Wen, Xuehu
   Li, Yongxin
   Ren, Dongyu
   Tang, Wei
TI Application of multi-source remote sensing technologies in
   identification and evolution mechanism analysis of creep landslides: a
   case study of Shibatai landslide in Wenchuan earthquake area
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE Wenchuan earthquake area; creep landslide; multi-source remote sensing;
   refined identification; application inspiration
AB Slow-moving landslides pose significant long-term hazards in seismically active mountainous regions. However, their subtle deformation patterns and complex internal structures present challenges for accurate identification and monitoring using conventional methods. This study integrates remote sensing technologies, including InSAR, DIC, LiDAR, and UAV photogrammetry, to comprehensively analyze the Shibatai creep landslide in the Wenchuan earthquake-affected area. Results reveal that the landslide exhibits a four-stage evolution process, from initial gravity-induced creep to earthquake disturbance, rainfall influence, and multi-level sliding formation. The study identifies six secondary sliding bodies within the landslide, with the most intense deformation occurring at their boundaries. Notably, DIC and UAV technologies demonstrated superior performance in detecting significant deformation features, aligning closely with field observations. The research proposes a multi-scale, multi-technology combination strategy for landslide investigation, emphasizing the complementary nature of different remote sensing techniques. Furthermore, the study highlights the importance of focusing on main deformation areas, particularly at the boundaries of secondary blocks, for efficient field verification and monitoring. These findings provide valuable insights for refining landslide identification processes, optimizing monitoring strategies, and enhancing risk assessment in post-earthquake environments.
C1 [Wang, Defu; Liu, Li; Luo, Chao; Wen, Xuehu; Li, Yongxin; Tang, Wei] Minist Nat Resources, Inst GeoInformat Mapping 3, Chengdu, Peoples R China.
   [Liu, Li; Ren, Dongyu] Minist Nat Resources, Key Lab Digital Cartog & Land Informat Applicat, Chengdu, Peoples R China.
C3 Ministry of Natural Resources of the People's Republic of China;
   Ministry of Natural Resources of the People's Republic of China
RP Liu, L (corresponding author), Minist Nat Resources, Inst GeoInformat Mapping 3, Chengdu, Peoples R China.; Liu, L (corresponding author), Minist Nat Resources, Key Lab Digital Cartog & Land Informat Applicat, Chengdu, Peoples R China.
EM liuli.cn@hotmail.com
TC 0
Z9 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD FEB 27
PY 2025
VL 13
AR 1498028
DI 10.3389/feart.2025.1498028
SC Geology
UT WOS:001447960300001
ER

PT J
AU Li, D
AF Li, Deren
TI REMOTE SENSING IN THE WENCHUAN EARTHQUAKE
SO PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
DT Article
C1 Wuhan Univ, Lab Informat Engn Surveying Mapping & Remote Sens, Wuhan 430079, Peoples R China.
C3 Wuhan University
RP Li, D (corresponding author), Wuhan Univ, Lab Informat Engn Surveying Mapping & Remote Sens, 129 Luoyu Rd, Wuhan 430079, Peoples R China.
EM drli@whu.edu.cn
TC 8
Z9 11
PU AMER SOC PHOTOGRAMMETRY
PI BETHESDA
PA 5410 GROSVENOR LANE SUITE 210, BETHESDA, MD 20814-2160 USA
SN 0099-1112
EI 2374-8079
PD MAY
PY 2009
VL 75
IS 5
BP 506
EP 509
SC Physical Geography; Geology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000266134000001
ER

PT J
AU Guo, HD
AF Guo, Huadong
TI Guest Editorial: Remote Sensing of the Wenchuan Earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Editorial Material
C1 Chinese Acad Sci, Lab Digital Earth Sci, Ctr Earth Observat & Digital Earth, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences
RP Guo, HD (corresponding author), Chinese Acad Sci, Lab Digital Earth Sci, Ctr Earth Observat & Digital Earth, Beijing 100190, Peoples R China.
EM hdguo@ceode.ac.cn
TC 2
Z9 2
PU SPIE-SOC PHOTOPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
AR 031699
DI 10.1117/1.3153899
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700001
ER

PT J
AU Bai, SB
   Xu, Q
   Wang, J
   Zhou, PG
AF Bai, Shibiao
   Xu, Qiang
   Wang, Jian
   Zhou, Pinggen
TI Pre-conditioning Factors and Susceptibility Assessments of Wenchuan
   Earthquake Landslide at the Zhouqu Segment of Bailongjiang Basin, China
SO JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
DT Article
DE Landslide susceptibility; Wenchuan earthquake; Zhouqu segment; China
ID LOGISTIC-REGRESSION; GIS; HAZARD; ISLAND
AB In this study, we present a landslide susceptibility assessment carried out after the devastating 2008 Wenchuan earthquake. For the Zhouqu segment in the Bailongjiang basin in north-western China landslide susceptibility was computed by a logistic regression method. This region has been experiencing landslides for a long time, and numerous additional slope failures were triggered by the 2008 Wenchuan earthquake. The data used for this study consists of slope failures attributed to the 2008 earthquake, the 878 post Wenchuan earthquake landslides and collapses inventory build up by combination the field investigation, monoscopic manual interpretation, image classification and texture analysis using SPOT 5 and ALOS remote-sensing image data. All data derived from remote sensing images are validated during field investigations. The landslide pre-disposing factor database was constructed. A digital elevation model (DEM) with a 30 x 30 m resolution, orthophotos, geological and land-use maps and information on peak ground acceleration data from the 2008 earthquake is used. The statistical analysis of the relation between Wencuan earthquake-triggered landslides and pre-disposing factors show the great influence of lithological and topographical conditions for earthquake-triggered slope failures. The quality of susceptibility mapping was validated by splitting the study area into a training and validation set. The prediction capability analysis showed that the landslide susceptibility map could be used for land planning as well as emergency planning by local authorities in this region.
C1 [Bai, Shibiao; Wang, Jian] Nanjing Normal Univ, Coll Geog Sci, Key Lab Virtual Geog Environm, Natl Educ Adm, Nanjing 210046, Jiangsu, Peoples R China.
   [Xu, Qiang] Chengdu Inivers Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Zhou, Pinggen] China Inst Geoenvironm Monitoring, Beijing, Peoples R China.
C3 Nanjing Normal University; Chengdu University of Technology
RP Bai, SB (corresponding author), Nanjing Normal Univ, Coll Geog Sci, Key Lab Virtual Geog Environm, Natl Educ Adm, Nanjing 210046, Jiangsu, Peoples R China.
EM shibiaobai21@163.com
TC 10
Z9 11
PU SPRINGER INDIA
PI NEW DELHI
PA 7TH FLOOR, VIJAYA BUILDING, 17, BARAKHAMBA ROAD, NEW DELHI, 110 001,
   INDIA
SN 0016-7622
EI 0974-6889
PD NOV
PY 2013
VL 82
IS 5
BP 575
EP 582
SC Geology
UT WOS:000328452600016
ER

PT J
AU Huang, RQ
   Li, WL
AF Huang, R. Q.
   Li, W. L.
TI Analysis of the geo-hazards triggered by the 12 May 2008 Wenchuan
   Earthquake, China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE 2008 Wenchuan Earthquake; Earthquake-triggered geo-hazards; Distribution
   rule; Hanging-wall effect; Mobility; GIS analysis
AB The Wenchuan Earthquake on 12 May 2008 triggered a large number of geo-hazards including landslides, slope collapses and debris flows. Field investigations and remote-sensing interpretation identified 11,308 geo-hazards in 16 seriously damaged counties in Sichuan Province, south west China. The paper reports an analysis of the distribution of these geo-hazards, particularly the earthquake-triggered landslides. Not surprisingly, the most significant geo-hazards were related to the main fault and on the hanging-wall side, although some occurred in deeply incised river gorges further away from the main rupture zone. Due to the high seismic intensity of the earthquake, most of the large landslides moved at high speed and for considerable distances.
C1 [Huang, R. Q.; Li, W. L.] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Huang, RQ (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM hrq8037005@sohu.com
TC 305
Z9 362
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD AUG
PY 2009
VL 68
IS 3
BP 363
EP 371
DI 10.1007/s10064-009-0207-0
SC Engineering; Geology
UT WOS:000268294800009
ER

PT J
AU Cao, CX
   Chang, CY
   Xu, M
   Zhao, JA
   Gao, MX
   Zhang, H
   Guo, JP
   Guo, JH
   Dong, L
   He, QS
   Bai, LY
   Bao, YF
   Chen, W
   Zheng, S
   Tian, YF
   Li, WX
   Li, XW
AF Cao, Chunxiang
   Chang, Chaoyi
   Xu, Min
   Zhao, Jian
   Gao, Mengxu
   Zhang, Hao
   Guo, Jianping
   Guo, Jianghong
   Dong, Lei
   He, Qisheng
   Bai, Linyan
   Bao, Yunfei
   Chen, Wei
   Zheng, Sheng
   Tian, Yifei
   Li, Wenxiu
   Li, Xiaowen
TI Epidemic risk analysis after the Wenchuan Earthquake using remote
   sensing
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
AB On 12 May 2008, Wenchuan Earthquake, magnitude 8.0, destroyed thousands of buildings, and resulted in thousands of people being buried in the collapsed buildings. In order to investigate the potential epidemic disease risk after earthquake, a Backward Propagation Neural Network (BPNN) was constructed to assess the potential epidemic risks by applying remote sensing technology to obtain Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) values, as well as by using a geographic information system (GIS) to gain ambient epidemic-related spatial factors over the earthquake region. In this study, a relationship was established between the change in environmental factors after earthquake and potential epidemic risks, which was found to be statistically significant. The result might be explained for three change perspectives, namely environmental risks, medical risks and psychological risks. The corresponding strategies for preparedness in case of epidemic disease were given.
C1 [Cao, Chunxiang; Chang, Chaoyi; Xu, Min; Zhao, Jian; Gao, Mengxu; Zhang, Hao; Guo, Jianghong; Dong, Lei; He, Qisheng; Bai, Linyan; Bao, Yunfei; Chen, Wei; Zheng, Sheng; Tian, Yifei; Li, Xiaowen] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Jointly Sponsored Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
   [Chang, Chaoyi; Xu, Min; Zhao, Jian; Gao, Mengxu; Guo, Jianghong; Dong, Lei; He, Qisheng; Bai, Linyan; Bao, Yunfei; Chen, Wei; Zheng, Sheng; Tian, Yifei] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China.
   [Guo, Jianping] Chinese Acad Meteorol Sci, China Meteorol Adm, Ctr Atmosphere Watch & Serv, Beijing 100081, Peoples R China.
   [Li, Wenxiu] Ziyuyuan Environ Protect Ltd Co Sci & Technol, Beijing 102200, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; China Meteorological Administration;
   Chinese Academy of Meteorological Sciences (CAMS)
RP Cao, CX (corresponding author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Jointly Sponsored Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
EM cao413@irsa.ac.cn
TC 22
Z9 23
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2010
VL 31
IS 13
BP 3631
EP 3642
AR PII 924648517
DI 10.1080/01431161003727713
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000023
ER

PT J
AU Li, N
   Tang, C
   Zhang, XZ
   Chang, M
   Shu, ZL
   Bu, XH
AF Li, Ning
   Tang, Chuan
   Zhang, Xianzheng
   Chang, Ming
   Shu, Zhile
   Bu, Xianghang
TI Characteristics of the disastrous debris flow of Chediguan gully in
   Yinxing town, Sichuan Province, on August 20, 2019
SO SCIENTIFIC REPORTS
DT Article
ID WENCHUAN EARTHQUAKE; HAZARD ASSESSMENT; AREA; EVENT
AB On August 20, 2019, at 2 a.m., a disastrous debris flow occurred in Chediguan gully in Yinxing town, China. The debris flow destroyed the drainage groove and the bridge at the exit of the gully. In addition, the debris flow temporarily blocked the Minjiang River during the flood peak, flooding the Taipingyi hydropower station 200 m upstream and leaving two plant workers missing. To further understand the activity of the debris flow after the Wenchuan earthquake, the characteristics of this debris flow event were studied. Eleven years after the Wenchuan earthquake, a disastrous debris flow still occurred in the Chediguan catchment, causing more severe losses than those of earlier debris flows. In this paper, the formation mechanism and dynamic characteristics of this debris flow event are analysed based on a drone survey, high-definition remote sensing interpretations and other means. The catastrophic debris flow event indicates that debris flows in the Wenchuan earthquake area are still active. A large amount of dredging work in the main gully could effectively reduce the debris flow risk in the gully. In addition, it is also important to repair or rebuild damaged mitigation measures and to establish a real-time monitoring and early warning system for the high-risk gully.
C1 [Li, Ning; Shu, Zhile] Xihua Univ, Sch Emergency Sci, 9999 Hongguang Rd, Chengdu 610039, Sichuan, Peoples R China.
   [Tang, Chuan; Zhang, Xianzheng; Chang, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu 61005, Peoples R China.
   [Bu, Xianghang] State Grid Sichuan Elect Power Res Inst, Chengdu 610072, Sichuan, Peoples R China.
C3 Xihua University
RP Li, N (corresponding author), Xihua Univ, Sch Emergency Sci, 9999 Hongguang Rd, Chengdu 610039, Sichuan, Peoples R China.
EM lining@mail.xhu.edu.cn
TC 19
Z9 23
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD DEC 8
PY 2021
VL 11
IS 1
AR 23666
DI 10.1038/s41598-021-03125-x
SC Science & Technology - Other Topics
UT WOS:000734524200020
ER

PT J
AU Zhang, B
   Jiao, QJ
   Wu, YH
   Zhang, WJ
AF Zhang, Bing
   Jiao, Quanjun
   Wu, Yanhong
   Zhang, Wenjuan
TI Estimating soil erosion changes in the Wenchuan earthquake disaster area
   using geo-spatial information technology
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE remote sensing; GIS; Wenchuan earthquake; soil erosion
ID LOSS EQUATION; LAND
AB The secondary disasters induced by the Wenchuan earthquake of May 12, 2008, such as landslides, collapsing rocks, debris flows, floods, etc., have changed the local natural landscape tremendously and caused heavy soil erosion in the earthquake-hit areas. Using thematic mapper images taken before the earthquake and airborne images taken after the earthquake, we extracted information about the destroyed landscape by utilizing remote sensing and geographical information system techniques. Then, taking into account multi-year precipitation, vegetation cover, soil type, land use, and elevation data, we evaluated the soil erosion area and intensity using the revised universal soil loss equation. Results indicate that the soil erosion in earthquake-hit areas was exacerbated, with the severe erosion area increasing by 279.2 km(2), or 1.9% of the total statistical area. Large amounts of soil and debris blocked streams and formed many barrier lakes over an area of more than 3.9 km(2). It was evident from the spatial distribution of soil erosion areas that the intensity of soil erosion accelerated in the stream valley areas, especially in the valleys of the Min River and the Jian River.
C1 [Zhang, Bing; Jiao, Quanjun; Wu, Yanhong; Zhang, Wenjuan] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences
RP Zhang, B (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
EM zb@ceode.ac.cn
TC 10
Z9 15
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031675
DI 10.1117/1.3153914
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700009
ER

PT J
AU Yang, KX
   Li, W
   Yang, XR
   Zhang, L
AF Yang, Kaixin
   Li, Wei
   Yang, Xinran
   Zhang, Lei
TI Improving Landslide Recognition on UAV Data through Transfer Learning
SO APPLIED SCIENCES-BASEL
DT Article
DE UAV; remote sensing; landslide recognition; transfer learning
ID CONVOLUTIONAL NEURAL-NETWORKS; WENCHUAN EARTHQUAKE
AB As a frequent geological disaster, landslides cause serious casualties and economic losses every year. When landslides occur, rapid access to disaster information is the premise of implementing disaster relief and reduction. Traditional satellite remote sensing may not be able to timely obtain the image data from the disaster areas due to orbital cycle and weather impacts. Visual interpretation of remote sensing data and machine learning methods need to be improved the detection efficiency. This paper studies landslide recognition based on the UAV remote sensing image. The affected area of the Zhangmu Port region in Tibet by the Nepal earthquake occurred on 25 April 2015 was selected to carry out the landslide investigation. Aiming at the problem of insufficient training sample data of landslides, we adopt the transfer learning method. The evaluation indexes show that the proposed method can automatically identify landslide disasters. Comparing with the SSD model, our new approach has better detection performance, providing thus accurate data support for scientific decision-making of disaster rescue.
C1 [Yang, Kaixin; Zhang, Lei] Univ Sci & Technol Beijing, Tianjin Coll, Tianjin 301830, Peoples R China.
   [Li, Wei] Inst Guangzhou Urban Planning Survey & Design, Guangzhou 510060, Peoples R China.
   [Yang, Xinran] Tianjin Univ Sci & Technol, Dept Ocean Technol, Tianjin 300222, Peoples R China.
C3 University of Science & Technology Beijing; Tianjin University of
   Science & Technology
RP Yang, KX (corresponding author), Univ Sci & Technol Beijing, Tianjin Coll, Tianjin 301830, Peoples R China.; Li, W (corresponding author), Inst Guangzhou Urban Planning Survey & Design, Guangzhou 510060, Peoples R China.
EM kxyang@163.com; wii_lee@126.com
TC 9
Z9 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
PD OCT
PY 2022
VL 12
IS 19
AR 10121
DI 10.3390/app121910121
SC Chemistry; Engineering; Materials Science; Physics
UT WOS:000866601400001
ER

PT J
AU Nath, B
   Niu, Z
   Singh, RP
AF Nath, Biswajit
   Niu, Zheng
   Singh, Ramesh P.
TI Land Use and Land Cover Changes, and Environment and Risk Evaluation of
   Dujiangyan City (SW China) Using Remote Sensing and GIS Techniques
SO SUSTAINABILITY
DT Article
DE Land Use and Land Cover; Landscape Risk; Dujiangyan City and Environs;
   SW China; Remote Sensing and GIS
ID 26 JANUARY 2001; WENCHUAN EARTHQUAKE; DRIVING FORCES; GUJARAT
   EARTHQUAKE; LANDSCAPE FRAGMENTATION; ECOSYSTEM SERVICES;
   SPATIAL-PATTERNS; SATELLITE; RIVER; DISTRICT
AB Understanding of the Land Use and Land Cover (LULC) change, its transitions and Landscape risk (LR) evaluation in earthquake-affected areas is important for planning and urban sustainability. In the present study, we have considered Dujiangyan City and its Environs (DCEN), a seismic-prone area close to the 2008 Wenchuan earthquake (8.0 M-w) during 2007-2018. Five different multi-temporal data sets for the years 2007, 2008, 2010, 2015, and 2018 were considered for LULC mapping, followed by the maximum likelihood supervised classification technique. The individual LULC maps were further used in four time periods, i.e., 2007-2018, 2008-2018, 2010-2018, and 2015-2018, to evaluate the Land Use and Land Cover Transitions (LULCT) using combined remote sensing and GIS (Geographical Information System). Furthermore, multi-criteria evaluation (MCE) techniques were applied for LR mapping. The results of the LULC change data indicate that built-up, agricultural area, and forest cover are the prime categories that had been changed by the natural and anthropogenic activities. LULCT, along with multi-parameters, are suggested to avoid development in fault-existing areas that are seismically vulnerable for future landscape planning in a sustainable manner.
C1 [Nath, Biswajit; Niu, Zheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, POB 9718,Datun Rd, Beijing 100101, Peoples R China.
   [Nath, Biswajit; Niu, Zheng] Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China.
   [Nath, Biswajit] Univ Chittagong, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh.
   [Singh, Ramesh P.] Chapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, One Univ Dr, Orange, CA 92866 USA.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS; University of Chittagong; Chapman University System;
   Chapman University
RP Niu, Z (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, POB 9718,Datun Rd, Beijing 100101, Peoples R China.; Niu, Z (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, 19A Yuquan Rd, Beijing 100049, Peoples R China.; Singh, RP (corresponding author), Chapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, One Univ Dr, Orange, CA 92866 USA.
EM nath.gis79@gmail.com; niuzheng@radi.ac.cn; rsingh@chapman.edu
TC 60
Z9 72
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD DEC
PY 2018
VL 10
IS 12
AR 4631
DI 10.3390/su10124631
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000455338100297
ER

PT J
AU Guo, HD
   Liu, LY
   Lei, LP
   Wu, YH
   Li, LW
   Zhang, B
   Zuo, ZL
   Li, Z
AF Guo, Huadong
   Liu, Liangyun
   Lei, Liping
   Wu, Yanhong
   Li, Liwei
   Zhang, Bing
   Zuo, Zhengli
   Li, Zhen
TI Dynamic analysis of the Wenchuan Earthquake disaster and reconstruction
   with 3-year remote sensing data
SO INTERNATIONAL JOURNAL OF DIGITAL EARTH
DT Article
DE Wenchuan Earthquake; earth observation; disaster mitigation;
   reconstruction
AB Earth observation is an effective technique that plays an important role in earthquake damage reduction and reconstruction. This paper introduces the results of dynamic analysis on monitoring and assessing heavily impacted areas affected by the Wenchuan Earthquake using remote sensing data acquired in the past 3 years from 2008 to 2010. Immediately after the disaster on 12 May 2008, the Chinese Academy of Sciences launched a project entitled 'Wenchuan Earthquake Disasters Monitoring and Assessment Using Remote Sensing Technology.' More than 400 images from 17 satellites and 20.2TB airborne remote sensing data were acquired to facilitate quick monitoring and evaluation of severely damaged areas in 14 counties. Results of the image analyses were forwarded on a timely basis to assist with consultative service and decision-making support. In subsequent years, in order to monitor the process of environmental restoration and reconstruction, airborne optical remote sensing images covering most of the severely damaged areas were again acquired in May 2009 and April 2010. These images were analyzed and compared along with images from 2008. Results were useful in support of further work on environmental protection and reconstruction in earthquake-damaged areas. Three typical areas were selected for illustrative purposes including Tangjiashan Barrier Lake, Beichuan County, and counties of Yingxiu and the new Beichuan. These results well demonstrate the importance and effectiveness of the utility of earth observation for disaster mitigation and reconstruction.
C1 [Guo, Huadong; Liu, Liangyun; Lei, Liping; Wu, Yanhong; Li, Liwei; Zhang, Bing; Zuo, Zhengli; Li, Zhen] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences
RP Guo, HD (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
EM hdguo@ceode.ac.cn
TC 17
Z9 20
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1753-8947
PY 2010
VL 3
IS 4
SI SI
BP 355
EP 364
AR PII 930087343
DI 10.1080/17538947.2010.532632
SC Physical Geography; Remote Sensing
UT WOS:000284635000004
ER

PT J
AU Zhang, YS
   Guo, XA
   Zhong, MJ
   Shen, WR
   Li, W
   He, B
AF Zhang YuanSheng
   Guo Xiao
   Zhong MeiJiao
   Shen WenRong
   Li Wen
   He Bin
TI Wenchuan earthquake: Brightness temperature changes from satellite
   infrared information
SO CHINESE SCIENCE BULLETIN
DT Article
DE Wenchuan Ms8.0 earthquake; Geostationary Meteorological Satellite
   infrared remote sensing; brightness temperature change
ID CHINA; ANOMALIES; ZONE
AB By using an alternative processing method for satellite infrared remote sensing data and adopting the China Geostationary Meteorological Satellite (FY-2C) infrared remote sensing brightness temperature data, we studied the great 2008 Wenchuan Ms8.0 earthquake. Results indicate the obvious characteristic period and amplitude, and distribution of thermal infrared anomalies before the Wenchuan earthquake. And we discussed the mechanism of the observed pre-earthquake thermal anomalies. The characteristics of observed thermal infrared anomalies are easy to be recognized and applied, and could provide a criterion for thermal anomalies of earthquakes.
C1 [Zhang YuanSheng; Guo Xiao; Zhong MeiJiao; Shen WenRong; Li Wen; He Bin] China Earthquake Adm, Lanzhou Inst Seismol, Lanzhou 730000, Peoples R China.
   [Zhang YuanSheng; Guo Xiao] China Earthquake Adm, Lanzhou Base Inst Earthquake Predict, Lanzhou 730000, Peoples R China.
C3 China Earthquake Administration; China Earthquake Administration
RP Zhang, YS (corresponding author), China Earthquake Adm, Lanzhou Inst Seismol, Lanzhou 730000, Peoples R China.
EM yuansh@public.lz.gs.cn
TC 40
Z9 67
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1001-6538
PD JUN
PY 2010
VL 55
IS 18
BP 1917
EP 1924
DI 10.1007/s11434-010-3016-8
SC Science & Technology - Other Topics
UT WOS:000278704700013
ER

PT J
AU Zeng, T
   Ghulam, A
   Yang, WN
   Grzovic, M
   Maimaitiyiming, M
AF Zeng, Tao
   Ghulam, Abduwasit
   Yang, Wu-Nian
   Grzovic, Mark
   Maimaitiyiming, Matthew
TI Estimating the Contribution of Loose Deposits to Potential Landslides
   Over Wenchuan Earthquake Zone, China
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Landslide; loose deposits; remote sensing; Wenchuan earthquake
ID ANALYTIC HIERARCHY PROCESS; DEBRIS FLOWS; DECISION-MAKING;
   RISK-ASSESSMENT; SOIL-EROSION; AREA; GIS; BASIN; TIME
AB Loose deposits may lead to catastrophic landslides and rockslides especially during or after heavy rainfall events. In this paper, we propose a method to estimate the volume and spatial distribution (VSD) of loose deposits using airborne and space-borne optical remote sensing data and Interferometric Synthetic Aperture Radar (InSAR) coherence. The estimated VSD of coseismic loose deposits in Wenchuan, China, the epicenter of the Sichuan Earthquake, is then used to predict potential landslides. First, high-resolution digital elevation models (DEMs) and digital orthophoto map (DOM) are developed using stereo imagery collected by an unmanned aerial vehicle (UAV) over a core test site. Next, the VSD of loose deposits is determined using the UAV imagery, DEM, and a landslide inventory map developed by field surveys, and a power-law relationship between the area and volume is established. In order to determine the loose deposits of the entire study area, the InSAR coherence of PALSAR images collected before and right after the earthquake, Landsat image classification, and DEM combined with Analytical Hierarchy Process (AHP) model are integrated in a decision tree algorithm. Finally, we develop a quantitative method of determining the severity and likelihood of potential geohazards based on VSD of coseismic loose deposits and other variables including the Normalized Difference Vegetation Index (NDVI), slope gradient, elevation, and land-cover/land-use (LCLU). A total of 42 catchments area are identified as the hot spots with a very high or high possibility of potential landslides. The VSD of coseismic loose deposits over these catchments is about 92.34% and 77.96% of the total potential loose deposits area.
C1 [Zeng, Tao; Yang, Wu-Nian] Chengdu Univ Technol, Dept Surveying & Mapping Engn, Chengdu 610059, Peoples R China.
   [Zeng, Tao; Yang, Wu-Nian] Chengdu Univ Technol, Minist Land & Resources China, Key Lab Geosci Spatial Informat Technol, Chengdu 610059, Peoples R China.
   [Zeng, Tao; Ghulam, Abduwasit; Grzovic, Mark; Maimaitiyiming, Matthew] St Louis Univ, Ctr Sustainabil, St Louis, MO 63108 USA.
   [Grzovic, Mark; Maimaitiyiming, Matthew] St Louis Univ, Dept Earth & Atmospher Sci, St Louis, MO 63108 USA.
C3 Chengdu University of Technology; Ministry of Natural Resources of the
   People's Republic of China; Chengdu University of Technology; Saint
   Louis University; Saint Louis University
RP Ghulam, A (corresponding author), St Louis Univ, Ctr Sustainabil, St Louis, MO 63108 USA.
EM zengtao@cdut.cn; awulamu@slu.edu; ywn@cdut.edu.cn; grzovic@slu.edu;
   maimaitiyiming@slu.edu
TC 6
Z9 8
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PD FEB
PY 2015
VL 8
IS 2
BP 750
EP 762
DI 10.1109/JSTARS.2014.2349953
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000352277100026
ER

PT J
AU Yu, H
   Zhao, YT
   Ma, YW
   Sun, YL
   Zhang, H
   Yang, SH
   Luo, Y
AF Yu Hui
   Zhao Yongtao
   Ma Yuewei
   Sun Yulian
   Zhang Hu
   Yang Shihong
   Luo Yong
TI A remote sensing-based analysis on the impact of Wenchuan Earthquake on
   the core value of World Nature Heritage Sichuan Giant Panda Sanctuary
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE World Nature Heritage; Giant Panda Sanctuaries; Suitable giant panda
   habitat; Model; Wenchuan Earthquake; Landscape pattern; GIS; RS
ID WOLONG NATURE-RESERVE; CHINA; CORRIDORS; PATTERNS
AB In this study, we used remotely sensed data, GIS modeling, and statistical methods to evaluate the damage caused by the Wenchuan Earthquake (May 12, 2008) to the giant panda (Ailuropoda melanoleuca) habitat in the World Nature Heritage Sichuan Giant Panda Sanctuary (WHSGPS) in China. A landscape ecological analysis found increases of landscape heterogeneity, complexity, and fragmentation in the giant panda habitat after the earthquake. A terrain analysis found that slope and elevation are directly associated with the distribution of the damaged areas. As slope and elevation increase, the size of the damaged area keeps increase until to a peak, and then starts to drop. The total area of the damaged vegetation in our study area is 114.26 km(2), accounting for 3.78% of the study area; 30.46% of that 114.26 km(2) is located in the Core Zone of WHSGPS. There are 18.57km(2) of the damaged vegetation located in the identified suitable giant panda habitat, accounting for 1.75% of the total area of suitable giant panda habitats in the study area. Based on these findings, we conclude that the Wenchuan Earthquake does not have significant impact on the WHSGPS as a whole.
C1 [Yu Hui; Zhao Yongtao; Ma Yuewei; Sun Yulian; Luo Yong] Chinese Acad Sci, Inst Mt Hazards & Environm, Beijing 100864, Peoples R China.
   [Yu Hui; Ma Yuewei; Sun Yulian; Luo Yong] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.
   [Zhang Hu; Yang Shihong] Sichuan World Heritage Adm Off, Chengdu, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Zhao, YT (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, 9,Sect 4,S Renmin Rd, Beijing 100864, Peoples R China.
EM zhytao@imde.ac.cn
TC 8
Z9 10
PU SCIENCE CHINA PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
PD JUN
PY 2011
VL 8
IS 3
BP 458
EP 465
DI 10.1007/s11629-011-1006-1
SC Environmental Sciences & Ecology
UT WOS:000291042900009
ER

PT J
AU Zhang, WJ
   Lin, JY
   Peng, JA
   Lu, QF
AF Zhang, Wenjiang
   Lin, Jiayuan
   Peng, Jian
   Lu, Qifeng
TI Estimating Wenchuan Earthquake induced landslides based on remote
   sensing
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID HAZARD ASSESSMENT; GIS; DROUGHT; REGIONS; INDEX
AB On 12 May 2008 the magnitude 8.0 Wenchuan Earthquake erupted on the eastern fringe of the Tibetan Plateau in China, triggering many landslides onto towns and villages, leading to substantial loss of life and damage to property and the infrastructure. Local characteristic cloudy weather posed serious difficulties upon regional remote observation for disaster rescue in the mountainous region. To overcome weather limits to remote sensing, the study advanced one quick methodology to extract primary regional landslides with 8-day Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) and terrain slope information. The threshold of temporal NDVI jump (value of 0.4) was introduced to discriminate landslide induced sharp NDVI decline from seasonal variations of vegetation cover, while slope information can be used to further confirm land cover change caused by a landslide. The study indicated that the Wenchuan Earthquake induced about 170 km2 of landslides in the southern half of the Longmenshan Fault Zone, most of which was formerly covered by forest or shrub. An ecological restoration of the areas affected by landslides will therefore be quite difficult. In addition, the result emphasizes that regions with slopes over 15 degrees are exposed to high landslide risk, which should be carefully taken into account for settlement and transportation planning.
C1 [Zhang, Wenjiang] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Zhang, Wenjiang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Lin, Jiayuan] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Peng, Jian] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
   [Lu, Qifeng] Natl Satellite Meteorol Ctr China, Beijing 100081, Peoples R China.
C3 Sichuan University; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences;
   Institute of Mountain Hazards & Environment, CAS; Peking University;
   China Meteorological Administration; National Satellite Meteorological
   Center, China Meteorological Administration
RP Peng, JA (corresponding author), Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
EM jianpeng@hotmail.com
TC 55
Z9 67
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0143-1161
PY 2010
VL 31
IS 13
BP 3495
EP 3508
AR PII 924663542
DI 10.1080/01431161003727630
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000012
ER

PT J
AU Li, Y
   Gong, JH
   Zhu, J
   Ye, L
   Song, YQ
   Yue, YJ
AF Li, Y.
   Gong, J. H.
   Zhu, J.
   Ye, L.
   Song, Y. Q.
   Yue, Y. J.
TI Efficient dam break flood simulation methods for developing a
   preliminary evacuation plan after the Wenchuan Earthquake
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID RISK
AB The Xiaojiaqiao barrier lake, which was the second largest barrier lake formed by the Wenchuan Earthquake had seriously threatened the lives and property of the population downstream. The lake was finally dredged successfully on 7 June 2008. Because of the limited time available to conduct an inundation potential analysis and make an evacuation plan, barrier lake information extraction and real-time dam break flood simulation should be carried out quickly, integrating remote sensing and geographic information system (GIS) techniques with hydrologic/hydraulic analysis. In this paper, a technical framework and several key techniques for this real-time preliminary evacuation planning are introduced. An object-oriented method was used to extract hydrological information on the barrier lake from unmanned aerial vehicle (UAV) remote sensing images. The real-time flood routine was calculated by using shallow-water equations, which were solved by means of a finite volume scheme on multiblock structured grids. The results of the hydraulic computations are visualized and analyzed in a 3-D geographic information system for inundation potential analysis, and an emergency response plan is made. The results show that if either a full-break or a half-break situation had occurred for the Chapinghe barrier lake on 19 May 2008, then the Xiaoba Town region and the Sangzao Town region would have been affected, but the downstream towns would have been less influenced. Preliminary evacuation plans under different dam break situations can be effectively made using these methods.
C1 [Li, Y.; Gong, J. H.; Ye, L.] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Li, Y.; Gong, J. H.] Zhejiang CAS Applicat Ctr Geoinformat, Hangzhou 314100, Zhejiang, Peoples R China.
   [Zhu, J.] SW Jiaotong Univ, Chengdu 610031, Peoples R China.
   [Song, Y. Q.] Tianjin Normal Univ, Coll Urban & Environm Sci, Tianjin 300387, Peoples R China.
   [Yue, Y. J.] Chinese Acad Sci, Ecoenvironm Sci Res Ctr, Beijing 100185, Peoples R China.
C3 Chinese Academy of Sciences; Southwest Jiaotong University; Tianjin
   Normal University; Chinese Academy of Sciences; Research Center for
   Eco-Environmental Sciences (RCEES), CAS
RP Gong, JH (corresponding author), Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
EM jhgong@irsa.ac.cn
TC 22
Z9 25
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PY 2012
VL 12
IS 1
BP 97
EP 106
DI 10.5194/nhess-12-97-2012
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000300234600011
ER

PT J
AU Cao, B
   Yang, SM
   Ye, S
AF Cao, Bo
   Yang, Shengmei
   Ye, Song
TI Integrated Application of Remote Sensing, GIS and Hydrological Modeling
   to Estimate the Potential Impact Area of Earthquake-Induced Dammed Lakes
SO WATER
DT Article
DE earthquake-induced dammed lakes; flood; potential impact area; estimate;
   hydrological modeling; RS; GIS
ID 2008 WENCHUAN EARTHQUAKE; NOAA AVHRR; IMAGERY; LANDSLIDES; ALGORITHM;
   INDEX
AB Dammed lakes are an important secondary hazard caused by earthquakes. They can induce further damage to nearby humans. Current hydrology calculation research on dammed lakes usually lacks spatial expressive ability and cannot accurately conduct impact assessment without the support of remote sensing, which obtains important characteristic information of dammed lakes. The current study aims to address the issues of the potential impact area estimate of earthquake-induced dammed lakes by combining remote sensing (RS), a geographic information system (GIS), and hydrological modeling. The Tangjiashan dammed lake induced by the Wenchuan earthquake was selected as the case for study. The elevation-versus-reservoir capacity curve was first calculated using the seed-growing algorithm based on digital elevation model (DEM) data. The simulated annealing algorithm was applied to train the hydrological modeling parameters according to the historical hydrologic data. Then, the downstream water elevation variational process under different collapse capacity conditions was performed based on the obtained parameters. Finally, the downstream potential impact area was estimated by the highest water elevation values at different hydrologic sections. Results show that a flood with a collapse elevation of at least 680 m will impact the entire downstream region of Beichuan town. We conclude that spatial information technology combined with hydrological modeling can accurately predict and demonstrate the potential impact area with limited data resources. This paper provides a better guide for future immediate responses to dammed lake hazard mitigation.
C1 [Cao, Bo; Yang, Shengmei; Ye, Song] Changjiang River Sci Res Inst, Wuhan 430010, Hubei, Peoples R China.
C3 Yangtze River Water Resources Protection Bureau
RP Yang, SM (corresponding author), Changjiang River Sci Res Inst, Wuhan 430010, Hubei, Peoples R China.
EM sunbathing@163.com; yangshengmei_cky@163.com; ysyesong@gmail.com
TC 3
Z9 3
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2073-4441
PD OCT
PY 2017
VL 9
IS 10
AR 777
DI 10.3390/w9100777
SC Environmental Sciences & Ecology; Water Resources
UT WOS:000414707500054
ER

PT J
AU Fan, JR
   Chen, JX
   Tian, BW
   Yan, D
   Cheng, GW
   Cui, P
   Zhang, W
AF Fan, Jianrong
   Chen, Jim X.
   Tian, Bingwei
   Yan, Dong
   Cheng, Genwei
   Cui, Peng
   Zhang, Wen
TI Rapid Assessment of Secondary Disasters Induced by the Wenchuan
   Earthquake
SO COMPUTING IN SCIENCE & ENGINEERING
DT Article
AB The Wenchuan earthquake of 12 May 2008 produced numerous secondary mountain disasters, including the formation of dangerous barrier lakes resulting from blocked river channels. By exploiting real-time, multiplatform remote sensing imagery data, researchers located these barrier lakes, acquired their distribution information, and assessed the threats to inform mitigation efforts and help prevent potentially disastrous consequences.
C1 [Fan, Jianrong; Tian, Bingwei; Yan, Dong] Chinese Acad Sci, Inst Mt Hazards & Environm, Grad Program, Chengdu, Sichuan, Peoples R China.
   [Zhang, Wen] Sichuan Forest Inventory & Planning Inst, Chengdu, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS
RP Fan, JR (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Grad Program, Chengdu, Sichuan, Peoples R China.
EM firong@imde.ac.cn; jimxchen@gmail.com; gistian@gmail.com;
   bedbugs@foxmail.com; gwcheng@imde.ac.cn; pengcui@imde.ac.cn; wz@163.com
TC 12
Z9 12
PU IEEE COMPUTER SOC
PI LOS ALAMITOS
PA 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
SN 1521-9615
PD JAN-FEB
PY 2010
VL 12
IS 1
BP 10
EP 19
DI 10.1109/MCSE.2010.16
SC Computer Science
UT WOS:000273151600005
ER

PT J
AU Su, FH
   Cui, P
   Zhang, JQ
   Xiang, LZ
AF Su Fenghuan
   Cui Peng
   Zhang Jianqiang
   Xiang Lingzhi
TI Susceptibility assessment of landslides caused by the wenchuan
   earthquake using a logistic regression model
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Landslide susceptibility; Wenchuan Earthquake; GIS; logistic regression;
   certainty factor
ID GIS; ZONATION
AB The Wenchuan earthquake on May 12, 2008 caused numerous collapses, landslides, barrier lakes, and debris flows. Landslide susceptibility mapping is important for evaluation of environmental capacity and also as a guide for post-earthquake reconstruction. In this paper, a logistic regression model was developed within the framework of GIS to map landslide susceptibility. Qingchuan County, a heavily affected area, was selected for the study. Distribution of landslides was prepared by interpretation of multi-temporal and multi-resolution remote sensing images (ADS40 aerial imagery, SPOT5 imagery and TM imagery, etc.) and field surveys. The Certainly Factor method was used to find the influencial factors, indicating that lithologic groups, distance from major faults, slope angle, profile curvature, and altitude are the dominant factors influencing landslides. The weight of each factor was determined using a binomial logistic regression model. Landslide susceptibility mapping was based on spatial overlay analysis and divided into five classes. Major faults have the most significant impact, and landslides will occur most likely in areas near the faults. Onethird of the area has a high or very high susceptibility, located in the northeast, south and southwest, including 65.3% of all landslides coincident with the earthquake. The susceptibility map can reveal the likelihood of future failures, and it will be useful for planners during the rebuilding process and for future zoning issues.
C1 [Su Fenghuan; Cui Peng; Zhang Jianqiang; Xiang Lingzhi] Chinese Acad Sci, Key Lab Mt Hazards & Land Surface Proc, Chengdu, Peoples R China.
   [Su Fenghuan; Cui Peng; Zhang Jianqiang; Xiang Lingzhi] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China.
   [Zhang Jianqiang; Xiang Lingzhi] Chinese Acad Sci, Grad Univ, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Cui, P (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Land Surface Proc, Chengdu, Peoples R China.
EM pengcui@imde.ac.cn
TC 27
Z9 32
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
PD SEP
PY 2010
VL 7
IS 3
BP 234
EP 245
DI 10.1007/s11629-010-2015-1
SC Environmental Sciences & Ecology
UT WOS:000280555900004
ER

PT J
AU Huang, RQ
   Li, WL
AF Huang RunQiu
   Li WeiLe
TI Development and distribution of geohazards triggered by the 5.12
   Wenchuan Earthquake in China
SO SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
DT Article
DE 5.12 Wenchuan Earthquake; seismogenic geohazard distribution;
   remote-sensing information; hanging wall effect; GIS analysis
AB As the Wenchuan Earthquake was of high magnitude and shallow seismic focus, it caused great damage and serious geohazards. By the field investigation and the interpretation of remote-sensing information after the earthquake and by using means of GIS technology, the distribution of geohazards triggered by the earthquake are analyzed and the conclusions are as follows: (1) The earthquake geohazards showed the feature of zonal distribution along the earthquake fault zone and linear distribution along the rivers; (2) the distribution of earthquake geohazards had a marked hanging wall effect, for the development density of geohazards in the hanging wall of earthquake fault zone was obviously higher than that in the foot wall and the width of strong development zone in the hanging wall was about 10 km; (3) the topographical slope was a main factor which controlled the development of earthquake geohazards and a vast majority of hazards were distributed on the slopes of 20A degrees to 50A degrees; (4) the earthquake geohazards had a corresponding relationship with the elevation and micro-landform, for most hazards happened in the river valleys and canyon sections below the elevation of 1500 to 2000 m, particularly in the upper segment of canyon sections (namely, the turning point from the dale to the canyon). Thin ridge, isolated or full-face space mountains were most sensitive to the seismic wave, and had a striking amplifying effect. In these areas, collapses and landslides were most likely to develop; (5) the study also showed that different lithologies determined the types of geohazards, and usually, landslides occurred in soft rocks, while collapses occurred in hard rocks.
C1 [Huang RunQiu; Li WeiLe] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Huang, RQ (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM hrq@cdut.edu.cn
TC 103
Z9 126
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1006-9321
PD APR
PY 2009
VL 52
IS 4
BP 810
EP 819
DI 10.1007/s11431-009-0117-1
SC Engineering; Materials Science
UT WOS:000264536600002
ER

PT J
AU Feng, TN
   Hong, ZH
   Wu, HJ
   Fu, QS
   Wang, CX
   Jiang, CH
   Tong, XH
AF Feng, Tienan
   Hong, Zhonghua
   Wu, Hengjing
   Fu, Qiushi
   Wang, Chaoxin
   Jiang, Chenghua
   Tong, Xiaohua
TI Estimation of earthquake casualties using high-resolution remote
   sensing: a case study of Dujiangyan city in the May 2008 Wenchuan
   earthquake
SO NATURAL HAZARDS
DT Article
DE Earthquake rescue; Remote sensing; Geographic information system;
   Casualty estimation; Wenchuan earthquake
ID RATIONAL-FUNCTION MODEL; BUILDING-DAMAGE; STEREO; IMAGERY; PHOTOGRAPHS;
   ALGORITHMS; DISASTER; SAR; GIS
AB From a disaster relief perspective, an immediate and efficient rescue operation after an earthquake can greatly increase the number of survivors. An effective rescue operation depends on two key elements: localisation of the affected areas and estimation of the number of casualties in these areas. Many more studies have been conducted on the localisation of affected areas than on casualty estimation. Consequently, this study develops a model for rapidly estimating the number of casualties using satellite remote sensing (SRS). The model is based on the attributes of damaged buildings, as these buildings cause the greatest harm to inhabitants and they can be detected by SRS. The model uses the damage index (DI) of buildings computed by a numerical damage model derived from SRS images to assess the extent of damage. The DI is then combined with the building's materials and structure index, which is calculated using information from the local geographic information system, to compute the joint casualty index (JCI). Finally, the number of casualties is estimated by the product of the JCI multiplied by the number of people inside the damaged buildings at the time of the earthquake. The model is then applied to three towns in Dujiangyan City, as these were the areas that most severely affected by the Wenchuan earthquake. Preliminary results showed that there was little difference between the actual and estimated number of casualties. It is recommended that more casualty data should be included in the model to improve the accuracy of estimation.
C1 [Feng, Tienan; Wu, Hengjing; Wang, Chaoxin; Jiang, Chenghua] Tongji Univ, Eastern Hosp, Sch Med, Dept Disaster & Emergency Med, Shanghai 200120, Peoples R China.
   [Hong, Zhonghua; Tong, Xiaohua] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China.
   [Fu, Qiushi] Tongji Univ, Coll Civil Engn, Res Inst Struct Engn & Disaster Reduct, Shanghai 200092, Peoples R China.
C3 Tongji University; Tongji University; Tongji University
RP Jiang, CH (corresponding author), Tongji Univ, Eastern Hosp, Sch Med, Dept Disaster & Emergency Med, Jimo Rd 150, Shanghai 200120, Peoples R China.
EM tienan_feng@126.com; jch@tongji.edu.cn; xhtong@tongji.edu.cn
TC 33
Z9 35
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD DEC
PY 2013
VL 69
IS 3
BP 1577
EP 1595
DI 10.1007/s11069-013-0764-1
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000327875400017
ER

PT J
AU Dong, YF
   Li, Q
   Dou, AX
   Wang, XQ
AF Dong, Yanfang
   Li, Qi
   Dou, Aixia
   Wang, Xiaoqing
TI Extracting damages caused by the 2008 Ms 8.0 Wenchuan earthquake from
   SAR remote sensing data
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article; Proceedings Paper
CT 13th Gondwana Conference on Wenchuan Earthquake
CY SEP 03-05, 2008
CL Dali, PEOPLES R CHINA
DE High spatial resolution; SAR; Earthquake damage extraction; Change
   detection; Wenchuan earthquake
ID DISPLACEMENT FIELD; RADAR
AB Bad weather conditions usually limit the acquisition of optical remote sensing images, while all day and all weather synthetic aperture radar (SAR) shows the ability of providing timely remote sensing data for emergency response and rescue works after earthquake. Because SAR is sensitive to the surface changes caused by earthquake, the modified electromagnetic behaviour by geological disasters and the collapse of buildings can be recorded in SAR images as backscattering intensity changes. Absolute radiometric calibration was performed to SAR products to derive backscattering coefficient sigma nought from image digital number (DN). Based on change detection methods, Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data and TerraSAR-X data acquired for the Ms 8.0 Wenchuan earthquake were used to extract earthquake damage information. This study revealed that landslides showed stronger backscattering and barrier lakes showed lower backscattering in post-earthquake 10 m ALOS PALSAR images comparing to pre-earthquake, and collapsed buildings showed lower backscattering compared to un-collapsed buildings in 1 m TerraSAR-X image. Results showed that SAR data with different spatial resolutions are useful for different earthquake damage information extraction: medium spatial resolution SAR data, e.g. 10 m ALOS PALSAR data, were efficient for secondary geological disaster extraction; high-resolution SAR data, e.g. 1 m TerraSAR-X data, with the help of ancillary GIS data or high-resolution optical data, could be used to extract building collapse information in urban areas. This study indicates that SAR remote sensing data can provide earthquake damage information at early emergency stage and assist the field surveying, further damage assessment and post-earthquake reconstruction. Crown Copyright (C) 2010 Published by Elsevier Ltd. All rights reserved.
C1 [Dong, Yanfang; Dou, Aixia; Wang, Xiaoqing] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China.
   [Li, Qi] Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech, Wuhan 430071, Peoples R China.
C3 China Earthquake Administration; Chinese Academy of Sciences; Wuhan
   Institute of Rock & Soil Mechanics, CAS
RP Dong, YF (corresponding author), China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China.
EM dyfgis@163.com
TC 59
Z9 60
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR 3
PY 2011
VL 40
IS 4
SI SI
BP 907
EP 914
DI 10.1016/j.jseaes.2010.07.009
SC Geology
UT WOS:000287950800010
ER

PT J
AU Xu, C
   Xu, XW
   Dai, FC
   Wu, ZD
   He, HL
   Shi, F
   Wu, XY
   Xu, SN
AF Xu, Chong
   Xu, Xiwei
   Dai, Fuchu
   Wu, Zhide
   He, Honglin
   Shi, Feng
   Wu, Xiyan
   Xu, Suning
TI Application of an incomplete landslide inventory, logistic regression
   model and its validation for landslide susceptibility mapping related to
   the May 12, 2008 Wenchuan earthquake of China
SO NATURAL HAZARDS
DT Article
DE The 2008 Wenchuan earthquake; Landslides; Landslide susceptibility
   mapping; Logistic regression; Success rate; Predictive rate
ID ARTIFICIAL NEURAL-NETWORKS; SPATIAL PREDICTION MODELS; BHAGIRATHI GANGA
   VALLEY; SUPPORT VECTOR MACHINE; ROCK SLOPE STABILITY; HOA BINH PROVINCE;
   HAZARD ZONATION; TRIGGERED LANDSLIDES; CONDITIONAL-PROBABILITY; GIS
AB The main purpose of this paper is to present the use of multi-resource remote sensing data, an incomplete landslide inventory, GIS technique and logistic regression model for landslide susceptibility mapping related to the May 12, 2008 Wenchuan earthquake of China. Landslide location polygons were delineated from visual interpretation of aerial photographs, satellite images in high resolutions, and verified by selecting field investigations. Eight factors, including slope angle, slope aspect, elevation, distance from drainages, distance from roads, distance from main faults, seismic intensity and lithology were selected as controlling factors for earthquake-triggered landslide susceptibility mapping. Qualitative susceptibility analyses were carried out using the map overlaying techniques in GIS platform. The validation result showed a success rate of 82.751 % between the susceptibility probability index map and the location of the initial landslide inventory. The predictive rate of 86.930 % was obtained by comparing the additional landslide polygons and the landslide susceptibility probability index map. Both the success rate and the predictive rate show sufficient agreement between the landslide susceptibility map and the existing landslide data, and good predictive power for spatial prediction of the earthquake-triggered landslides.
C1 [Xu, Chong; Xu, Xiwei; He, Honglin; Shi, Feng; Wu, Xiyan] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Dai, Fuchu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Wu, Zhide] PetroChina, Langfang Branch, Res Inst Petr Explorat & Dev, Langfang 065007, Peoples R China.
   [Xu, Suning] China Inst Geoenvironm Monitoring, Beijing 100081, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Chinese
   Academy of Sciences; Institute of Geology & Geophysics, CAS; China
   National Petroleum Corporation
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, POB 9803, Beijing 100029, Peoples R China.
EM xc11111111@126.com
TC 125
Z9 162
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD SEP
PY 2013
VL 68
IS 2
BP 883
EP 900
DI 10.1007/s11069-013-0661-7
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000322727300035
ER

PT J
AU Chen, HY
   Xiong, J
   Zhao, WY
   Chen, JG
   Zhang, XZ
   Ruan, HC
   Fang, CX
   Gong, LF
AF Chen, Huayong
   Xiong, Jiang
   Zhao, Wanyu
   Chen, Jiangang
   Zhang, Xianzheng
   Ruan, Hechun
   Fang, Congxi
   Gong, Lingfeng
TI Catastrophic debris flow triggered by a June 26, 2023 rainstorm suggests
   the debris flow is still active 15 years after the Wenchuan seismic
SO LANDSLIDES
DT Article
DE Debris flow; Banzi gully; Landslide; GIS; Wenchuan earthquake
ID EARTHQUAKE-INDUCED LANDSLIDES; AREA; SEDIMENT; DELIVERY; EVENT; RIVER
AB The Wenchuan earthquake strongly disturbed the earth surface and induced sufficient loose debris in the mountain basin, which supplies sufficient solid materials for debris flow initiation. Recently, a catastrophic debris flow was induced by strong rainfall on June 26, 2023 in the Banzi basin. Inconsistent with the first few years of the Wenchuan earthquake, the hillslope landslide sediment supply for debris flow occurrence is limited after 15 years of the Wenchuan earthquake, and the materials supplied for debris flow in the later period are mainly obtained from alluvium deposited along the channel. Simultaneously, this debris flow was triggered by flash flood through strongly erosion channel materials. However, although 15 years have passed since the Wenchuan earthquake, the triggering rainfall conditions have still not returned to pre-earthquake level. This debris flow first initiated in the upper branches of the basin and then gradually transported downstream at an average discharge of 806.99 m3/s, and approximately 82.80 x 104 m3 solid materials were transported out the Banzi basin to form a debris flow fan with length of 120 m and width of 260 m in the Minjiang River, which poses a serious threat to the resettled population and destroy the reconstruction infrastructures. Importantly, there are still sufficient solid materials deposited in the basin, this could result in debris flow activity continuing for an unpredictable time. Therefore, implementation early warning, prevention, and mitigation measures in this basin are still important for debris flow disaster management in the later period of Wenchuan earthquake.
C1 [Chen, Huayong; Xiong, Jiang; Zhao, Wanyu; Chen, Jiangang; Ruan, Hechun; Fang, Congxi] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China.
   [Zhang, Xianzheng; Gong, Lingfeng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; China Geological Survey
RP Xiong, J (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China.
EM xiongjiang@imde.ac.cn
TC 11
Z9 12
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD AUG
PY 2024
VL 21
IS 8
BP 1883
EP 1897
DI 10.1007/s10346-024-02279-9
EA JUN 2024
SC Engineering; Geology
UT WOS:001242324200001
ER

PT J
AU Xiong, J
   Chen, HY
   Tang, C
   Zhao, WY
   Chen, M
   Yang, T
   Gong, LF
   Zhang, XZ
   Shi, QY
   Li, N
   Chen, JG
AF Xiong, Jiang
   Chen, Huayong
   Tang, Chuan
   Zhao, Wanyu
   Chen, Ming
   Yang, Tao
   Gong, Lingfeng
   Zhang, Xianzheng
   Shi, Qingyun
   Li, Ning
   Chen, Jiangang
TI Risk prediction of catastrophic debris flows against the background of
   material changes and human engineering activity in the Wenchuan
   earthquake disturbance area
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Debris flow; Risk assessment; Human engineering; Landslide material;
   Wenchuan earthquake
ID INDUCED LANDSLIDES; SEDIMENT TRANSFER; SHEAR-STRENGTH; VEGETATION;
   IMPACT; HAZARD; PROVINCE; CYCLES; REGION; CHINA
AB The changes in landslide material and human engineering activities have often posed important impacts on debris flow risk. In this study, multi-period remote sensing images and unmanned aerial vehicle aerial images are used to monitor the prolonged variation in landslide materials transfer for debris flow initiation. Simultaneously the FLO- 2D model and vulnerable curve were used to detect the risk of debris flow in the later period (after 2023). After 15 years of the Wenchuan earthquake, the hillslope landslide materials delivery for debris flow initiation is limited. Impacted by the changes in solid materials, topography and human engineering activities, the risk of debris flow with a recurrence period of 10, and 20 years has been effectively reduced, but for the 50 and 100 years of recurrence period situation, the impact of human engineering activities and channel topography on debris flow risk is limited. For the 10, 20, 50 and 100 years of recurrence period situation, the buildings are at"extreme"and"high"risk was 0, 21, 38, and 115, respectively. Therefore, the monitoring and early warning is still an important measure to reduce economic losses and casualties in the later period.
C1 [Xiong, Jiang; Chen, Huayong; Zhao, Wanyu; Yang, Tao; Chen, Jiangang] Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.
   [Tang, Chuan; Chen, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Gong, Lingfeng; Zhang, Xianzheng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
   [Shi, Qingyun] Chengdu Univ Informat Technol, Chengdu 610225, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; China Geological
   Survey; Chengdu University of Information Technology; Xihua University
RP Chen, HY (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.
EM hychen@imde.ac.cn
TC 0
Z9 0
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD MAY
PY 2025
VL 84
IS 5
AR 228
DI 10.1007/s10064-025-04243-w
SC Engineering; Geology
UT WOS:001466010700002
ER

PT J
AU Yang, ZJ
   Cai, H
   Shao, W
   Huang, D
   Uchimura, T
   Lei, XQ
   Tian, HL
   Qiao, JP
AF Yang, Zongji
   Cai, Huan
   Shao, Wei
   Huang, Dong
   Uchimura, Taro
   Lei, Xiaoqin
   Tian, Honglin
   Qiao, Jianping
TI Clarifying the hydrological mechanisms and thresholds for
   rainfall-induced landslide: in situ monitoring of big data to
   unsaturated slope stability analysis
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Rainfall-induced landslide; Hydrological mechanism; Multivariate
   thresholds; Early warning; Unsaturated condition; Big data
ID SHALLOW LANDSLIDES; DURATION CONTROL; DEBRIS FLOWS; INTENSITY; SYSTEM
AB The development of early warning systems for landslide hazards has long been a challenge because the accuracy of such systems is limited by both the complicated underlying mechanisms of landslides and the lack of in situ data. In this study, we implemented a multivariate threshold criterion that integrates in situ monitoring data and data from unsaturated hydro-mechanical analyses as an early warning system for rainfall-induced landslides in the Wenchuan earthquake region of China. The results indicate that rainfall intensity is closely correlated with the probability of landslide occurrence. Variations in matric suction and suction stress were obtained from in situ measurements and used to quantify the soil water retention curve, which presented clear hysteresis characteristics. The impacts of rainfall infiltration on slope failure in post-earthquake landslide areas under transient rainfall conditions were quantified by hydro-mechanical modelling theories. Variations in the suction stress of unsaturated soil were used to calculate the safety factor. The influence of hydrological hysteresis processes on the slope failure mechanism was analysed. Multivariate threshold criteria that include the intensity-probability (I-P) threshold, soil moisture and matric suction based on in situ big data and unsaturated slope stability analysis benchmarks are proposed for use in an early warning system for rainfall-induced landslides.
C1 [Yang, Zongji; Cai, Huan; Huang, Dong; Lei, Xiaoqin; Tian, Honglin; Qiao, Jianping] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, 9,Block 4,South Renmin Rd, Chengdu 610041, Sichuan, Peoples R China.
   [Cai, Huan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Shao, Wei] Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing 210044, Jiangsu, Peoples R China.
   [Uchimura, Taro] Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Nanjing University of Information Science &
   Technology; Saitama University
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, 9,Block 4,South Renmin Rd, Chengdu 610041, Sichuan, Peoples R China.
EM yzj@imde.ac.cn
TC 57
Z9 66
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD JUN
PY 2019
VL 78
IS 4
BP 2139
EP 2150
DI 10.1007/s10064-018-1295-5
SC Engineering; Geology
UT WOS:000468075000001
ER

PT J
AU Deng, XZ
   Jiang, Q
   Ge, QS
   Yang, LS
AF Deng Xiangzheng
   Jiang Qunou
   Ge Quansheng
   Yang Linsheng
TI Impacts of the Wenchuan Earthquake on the Giant Panda Nature Reserves in
   China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan earthquake; Remote sensing; Giant panda; Giant panda nature
   reserve; Rapid assessment method
ID SICHUAN; CULMS
AB The Wenchuan Earthquake that occurred in May of 2008 caused damages to large areas of Sichuan, Gansu, and Shaanxi provinces in China. Reports from local governments and related management agencies show that the giant panda nature reserves in the earthquake-hit areas were heavily damaged. Our estimates in this paper of the impacts of the earthquake on the giant panda in the earthquake-hit areas were made based on the interpretation of remote sensing images and information collected by field survey. A rapid assessment method was designed to estimate the damages of the earthquake on giant panda habitats. By using visual interpretation methods, we decoded the remote sensing images of the disaster area in the 49 giant panda nature reserves. Research results showed that the Wenchuan Earthquake and the succeeding secondary geological disasters caused great damages to the giant panda nature reserves and disturbed the normal life of the giant pandas there (e. g., landscape fragmentation increased significantly). Undoubtedly, the life of the giant pandas there was affected. However, although the earthquake caused certain impacts on the giant pandas, it did not really threat their survival. Even so, we still strongly advocate for protection of the giant pandas, and have prioritized a couple of measures to be taken to restore the giant panda nature reserves in the earthquake-hit areas.
C1 [Deng Xiangzheng; Jiang Qunou; Ge Quansheng; Yang Linsheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Deng Xiangzheng] Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China.
   [Jiang Qunou] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; Chinese Academy of
   Sciences; University of Chinese Academy of Sciences, CAS
RP Ge, QS (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM geqs@igsnrr.ac.cn
TC 12
Z9 18
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2010
VL 7
IS 2
BP 197
EP 206
DI 10.1007/s11629-010-1073-8
SC Environmental Sciences & Ecology
UT WOS:000277827800009
ER

PT J
AU Fan, XM
   Xu, Q
   Scaringi, G
AF Fan, Xuanmei
   Xu, Qiang
   Scaringi, Gianvito
TI Brief communication: Post-seismic landslides, the tough lesson of a
   catastrophe
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID EARTHQUAKE-INDUCED LANDSLIDES; BAND SEISMIC NETWORK; WENCHUAN
   EARTHQUAKE; CHINA; KINEMATICS; SOUTHWEST; SICHUAN; 1ST
AB The rock avalanche that destroyed the village of Xinmo in Sichuan, China, on 24 June 2017, brought the issue of landslide risk and disaster chain management in highly seismic regions back into the spotlight. The long-term post-seismic behaviour of mountain slopes is complex and hardly predictable. Nevertheless, the integrated use of field monitoring, remote sensing and real-time predictive modelling can help to set up effective early warning systems, provide timely alarms, optimize rescue operations, and perform secondary hazard assessments. We believe that a comprehensive discussion on post-seismic slope stability and on its implications for policy makers can no longer be postponed.
C1 [Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito] Chengdu Univ Technol, SKLGP, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Xu, Q; Scaringi, G (corresponding author), Chengdu Univ Technol, SKLGP, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
EM xuqiang_68@126.com; g.scaringi@qq.com
TC 31
Z9 37
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PD JAN 26
PY 2018
VL 18
IS 1
BP 397
EP 403
DI 10.5194/nhess-18-397-2018
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000423454700001
ER

PT J
AU Wang, ZH
   Xu, QD
   Xu, B
   Zhang, W
AF Wang ZhiHua
   Xu QiDe
   Xu Bin
   Zhang Wei
TI Emergency aero-photo survey after the 5.12 Wenchuan Earthquake, China
SO SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
DT Article
DE 5.12 Wenchuan Earthquake; aerial remote sensing; destroying conditions;
   second growth geological disasters; potential disaster
AB After the 5.12 Wenchuan Earthquake which took place on May 12, 2008, aerial remote sensing has rapidly covered all the influence sites of the earthquake, emergency aero-photo interpretation has revealed the disaster distribution limitation, and captured the information of location, dimension of the destroyed houses, roads and other structures, blocked rivers, etc, which provided destroying conditions of the time for rescuing lives, rebuilding traffic lines and estimating disaster situation. The further interpretation and analysis indicate that large scale second growth geological disasters mainly distribute in the distance of 0-300 km and 45A degrees-50A degrees orientation from the epicenter. About 137 latent large-scale landslides and debris-flows will occur in this rain season and coming several years, so how to avoid current geological disasters as well as the latent large disasters should be considered in making rebuilding and developing plan.
C1 [Wang ZhiHua; Xu QiDe; Xu Bin; Zhang Wei] China Geophys Survey & Remote Sensing Ctr Land &, Beijing 100083, Peoples R China.
RP Wang, ZH (corresponding author), China Geophys Survey & Remote Sensing Ctr Land &, Beijing 100083, Peoples R China.
EM wzh@agrs.cn
TC 2
Z9 3
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1006-9321
PD APR
PY 2009
VL 52
IS 4
BP 835
EP 843
DI 10.1007/s11431-009-0080-x
SC Engineering; Materials Science
UT WOS:000264536600004
ER

PT J
AU Akbar, TA
   Ha, SR
AF Akbar, Tahir Ali
   Ha, Sung Ryong
TI Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan-by
   integration of GPS, GIS, and remote sensing technology
SO LANDSLIDES
DT Article
DE Landslide hazard zonation; Information value model; GPS; GIS; Remote
   sensing
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; SUSCEPTIBILITY; AREA;
   MANAGEMENT; JAPAN; RIVER
AB This paper presents a methodology for developing a landslide hazard zonation map by integration of global positioning system (GPS), geographic information system (GIS), and remote sensing (RS) for Western Himalayan Kaghan Valley of Pakistan. The landslides in the study area have been located and mapped by using GPS. Eleven causative factors such as landuse, elevation, geology, rainfall intensity, slope inclination, soil, slope aspect, distances from main road, distances from secondary roads, and distances from main river and those from trunk streams were analyzed for occurrence of landslides. These factors were used with a modified form of pixel-based information value model to obtain landslide hazard zones. The matrix analysis was performed in remote sensing to produce a landslide hazard zonation map. The causative factors with the highest effect of landslide occurrence were landuse, rainfall intensity, distances from main road, distances from secondary roads, and distances from main river and those from trunk streams. In conclusion, we found that landslide occurrence was only in moderate, high, or very high hazard zones, and no landslides were in low or very low hazard zones showing 100% accuracy of our results. The landslide hazard zonation map showed that the current main road of the valley was in the zones of high or very high hazard. Two new safe road routes were suggested by using the GIS technology.
C1 [Akbar, Tahir Ali] Univ Calgary, Dept Civil Engn, Schulich Sch Engn, Calgary, AB T2N 1N4, Canada.
   [Ha, Sung Ryong] Chungbuk Natl Univ, Dept Urban Engn, Chungbuk 361763, South Korea.
C3 University of Calgary; Chungbuk National University
RP Akbar, TA (corresponding author), Univ Calgary, Dept Civil Engn, Schulich Sch Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada.
EM taakbar@ucalgary.ca
TC 51
Z9 58
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
PD DEC
PY 2011
VL 8
IS 4
BP 527
EP 540
DI 10.1007/s10346-011-0260-1
SC Engineering; Geology
UT WOS:000297595500010
ER

PT J
AU Zhao, XW
   Pan, S
   Sun, ZC
   Guo, HD
   Zhang, L
   Feng, K
AF Zhao, Xiangwei
   Pan, Shun
   Sun, Zhongchang
   Guo, Huadong
   Zhang, Lei
   Feng, Kang
TI Advances of Satellite Remote Sensing Technology in Earthquake Prediction
SO NATURAL HAZARDS REVIEW
DT Review
DE Earthquake prediction; Remote sensing; Thermal infrared; Electromagnetic
   field; Gravity field
ID LATENT-HEAT FLUX; SURFACE TEMPERATURE RETRIEVAL; SEISMICALLY ACTIVE
   AREAS; WAVELET MAXIMA CURVES; IONOSPHERIC PRECURSORS; COSEISMIC
   DEFORMATION; WENCHUAN EARTHQUAKE; THERMAL ANOMALIES; GRAVITY CHANGES;
   TIME-SERIES
AB Earthquakes are one of the most serious types of natural disaster in the world. Intensive research and operative efforts have been focused on earthquake prediction, but the accuracy of early warning systems is limited. Scientific research indicates that there are a series of observable earthquake-related anomalies prior to seismic activities. In earthquake prediction, remote sensing technologies have been applied widely to monitor crustal deformation and surface temperature rise, as well as hydrologic, electromagnetic, and gravitational fields prior to earthquake occurrence. This paper reviewed the current literature of earthquake prediction studies all over the world. Characteristics of various earthquake precursors were analyzed, the satellite-assisted monitoring mechanisms were studied, and the research advances in remote sensing in earthquake prediction were reviewed. The current bottleneck problems in earthquake prediction were discussed from the aspects of the complexity and the unobservability of the hypocenter, the diversity of earthquake precursor signals, and the uncertainty of existing remote sensing monitoring data. Finally, potential solutions to address these bottleneck problems were proposed, including establishing a unified framework, building scientific prediction models, simulation with virtual technology, and systematically integrating multisource data. These approaches need to be further studied and will be significant for more-accurate earthquake prediction.
C1 [Zhao, Xiangwei] Shandong Univ Sci & Technol, Key Lab Geomat & Digital Technol Shandong Prov, Qingdao 266590, Peoples R China.
   [Pan, Shun; Feng, Kang] Shandong Univ Sci & Technol, Shandong Key Lab Geol & Digital Technol, Qingdao 266590, Peoples R China.
   [Sun, Zhongchang; Guo, Huadong] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Zhang, Lei] Tianjin Earthquake Agcy, 19 Youyi Rd, Tianjin 300201, Peoples R China.
C3 Shandong University of Science & Technology; Shandong University of
   Science & Technology; Chinese Academy of Sciences; Aerospace Information
   Research Institute, CAS; China Earthquake Administration; Tianjin
   Earthquake Agency, CEA
RP Sun, ZC (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM tlzxw1696@163.com; panshun0879@163.com; sunzc@aircas.ac.cn;
   guohd@aircas.ac.cn; zhanglei-qd@126.com; fengkang1112@163.com
TC 0
Z9 1
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
PD FEB 1
PY 2021
VL 22
IS 1
AR 03120001
DI 10.1061/(ASCE)NH.1527-6996.0000419
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
UT WOS:000672397700019
ER

PT J
AU Wang, ZJ
   Zhao, BM
AF Wang, Zijun
   Zhao, Boming
TI Automatic event detection and picking of P, S seismic phases for
   earthquake early warning and application for the 2008 Wenchuan
   earthquake
SO SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
DT Article
DE Wenchuan earthquake; Earthquake early warning; Phase detection;
   Time-series analysis; Body waves
ID SYSTEM; IDENTIFICATION; MAGNITUDE; LOCATION; SIGNALS; TAIWAN
AB We proposed a set of high-precision combination algorithms to detect and pick seismic phases for the earthquake early warning (EEW). First by the polarisation analysis of the three-component seismograms, we developed two filters to separate P and S waves for each record through a sliding time window. Then based on the short term average/long term average characteristic function on the polarised traces, an amplification coefficient, in terms of delta, was introduced to be multiplied by the original ratio to sensitively reflect the changes of signals' amplitude and frequency, where a better detection of the phase arrival was achieved. Next according to the preliminary detections, we used the Akaike information criteria function combined with the higher order statistics to refine the signal and lock on the arrival time with a higher degree of accuracy. We tested our techniques to the main-shock and aftershocks of the M-S 8.0 Wenchuan earthquake, where hundreds of three-component acceleration records over magnitudes of M-S 5.0 were treated. In comparison to the analyst picks, the results of the proposed detection algorithms were shown to perform well and can be applied for the early warning of impending earthquakes occurred with diverse focal mechanisms, complicated propagation process and site effects.
C1 [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Beijing 100044, Peoples R China.
C3 Beijing Jiaotong University
RP Zhao, BM (corresponding author), Beijing Jiaotong Univ, Sch Civil Engn, Beijing, Peoples R China.
EM bmzhao@bjtu.edu.cn
TC 18
Z9 20
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0267-7261
EI 1879-341X
PD JUN
PY 2017
VL 97
BP 172
EP 181
DI 10.1016/j.soildyn.2017.03.017
SC Engineering; Geology
UT WOS:000404707600014
ER

PT J
AU Deng, QH
   Xu, LL
   Zhang, LP
   Li, P
   Ding, N
   Chen, Q
AF Deng, Qinghai
   Xu, Lulu
   Zhang, Liping
   Li, Ping
   Ding, Ning
   Chen, Qiao
TI Spatio-temporal distribution evolution and factors controlling
   landslides in Beichua County after Wenchuan earthquake
SO ACTA SCIENTIARUM-TECHNOLOGY
DT Article
DE landslide; restoration level; evolution; Beichuan County; Wenchuan
   earthquake
ID SPATIAL-DISTRIBUTION; JIUZHAIGOU EARTHQUAKE; FAULT; SICHUAN; MECHANISMS;
   REVERSE; OBLIQUE; JAPAN
AB The earthquake triggered numerous secondary geological disasters, mainly landslides, which can have considerable impact on the environment as well as people's lives in the affected region. In this research, to obtain clear understanding of the restoration level and the evolution of landslides after an earthquake as massive as the Wenchuan earthquake, Beichuan County of Sichuan Province was considered an example, and the development characteristics and the evolution of post-earthquake landslides in the affected area were studied. Using ALOS, GF-1, and ZY-3 remote sensing images and GIS technology, the development of landslides in Beichuan County over a period of 13 years (2007-2019), comprising the period before and after the Wenchuan earthquake, was analysed. The main inducing factors of landslides before and after the disaster were discussed from many aspects. After the Wenchuan earthquake, the number and the area affected by landslides in Beichuan County drastically increased. Five years after the earthquake, there was rapid recovery in the development of landslides; however, it has not fully returned to the state before the earthquake yet. Many landslides have also occurred in medium- and high-altitude areas and medium- and high-slope areas. However, as time goes on, the high-risk areas of landslides began to migrate slowly to areas with lower altitude and gentle slope. Before the earthquake, river erosion was the main cause of landslides in the study area. After the earthquake, landslides were concentrated in the southeast and central parts of this area-places with strong earthquake intensities-which was attributed to seismogenic faults. With the recovery of landslide development, river erosion became the main contributing factor again. The findings of this research can provide insights to aid disaster prevention in the Wenchuan earthquake-stricken area and the spatio-temporal evolution of landslide disaster development in earthquake-stricken areas.
C1 [Deng, Qinghai; Xu, Lulu; Zhang, Liping; Li, Ping; Ding, Ning; Chen, Qiao] Shandong Univ Sci & Technol, Coll Earth Sci & Engn, 579 Qianwangang Rd, Qingdao, Shandong, Peoples R China.
   [Xu, Lulu] Minist Nat Resources, Key Lab Geol Safety Coastal Urban Underground Spac, Qingdao, Shandong, Peoples R China.
   [Xu, Lulu] Qingdao Geol & Mineral Geotech Engn Co Ltd, Qingdao, Shandong, Peoples R China.
C3 Shandong University of Science & Technology; Ministry of Natural
   Resources of the People's Republic of China
RP Zhang, LP (corresponding author), Shandong Univ Sci & Technol, Coll Earth Sci & Engn, 579 Qianwangang Rd, Qingdao, Shandong, Peoples R China.
EM zhangliping@sdust.edu.cn
TC 0
Z9 0
PU UNIV ESTADUAL MARINGA, PRO-REITORIA PESQUISA POS-GRADUACAO
PI MARINGA
PA AV. COLOMBO, 5790, DIVISAO DE DIVULGACAO CIENTIFICA, MARINGA, PR
   87020-900, BRAZIL
SN 1806-2563
EI 1807-8664
PD JAN-DEC
PY 2025
VL 47
IS 1
AR e70856
DI 10.4025/actascitechnol.v47i1.70856
SC Science & Technology - Other Topics
UT WOS:001511840800004
ER

PT J
AU Xiong, J
   Tang, C
   Gong, LF
   Chen, M
   Li, N
   Shi, QY
   Zhang, XZ
   Chang, M
   Li, MW
AF Xiong, Jiang
   Tang, Chuan
   Gong, Lingfeng
   Chen, Ming
   Li, Ning
   Shi, Qingyun
   Zhang, Xianzheng
   Chang, Ming
   Li, Mingwei
TI How landslide sediments are transferred out of an alpine basin: Evidence
   from the epicentre of the Wenchuan earthquake
SO CATENA
DT Article
DE Wenchuan earthquake; Landslide sediment; Transfer process; Alpine basin
ID RAINFALL-INDUCED LANDSLIDES; DEBRIS FLOW; MOUNTAIN BELT; BAVARIAN ALPS;
   RIVER; AREA; TRANSPORT; VARIABILITY; VEGETATION; EVOLUTION
AB The Wenchuan earthquake and subsequent strong rainfall triggered extensive mass wasting, which caused sufficient landslide sediment to be continuously transferred out of the alpine basin. Effective sediment management in earthquake areas requires a full understanding of how landslide sediment is transferred out of alpine basins. In this study, field investigations and remote sensing interpretations indicated that the bedrock or hillslope surface materials were transferred downstream of the hillslope through falls, slides, fall slides, slide falls, and slide flows. Subsequently, field investigations and box model tests showed that the loose landslide sediment was transferred to the channel mainly through three typical processes (erosion driven by torrents or debris flow, saturation, and surface runoff), which occurred simultaneously in the first several years after the Wenchuan earthquake. However, surface runoff erosion was the main transfer process in the following period. Using the number and area of effective landslides, the length and area of landslide sediment in channels, and the effective basin as indicators, we present observational evidence of the landslide sediment transport process based on a remote sensing image time series from 2005 to 2018. The trends of the indicators suggested that the sediment transfer process in the alpine basin was intense during the first 5 years after the Wenchuan earthquake; then, it gradually weakened without the influence of extreme rainfall, but it may last 20 years or longer before returning to the pre-earthquake level.
C1 [Xiong, Jiang; Tang, Chuan; Chen, Ming; Shi, Qingyun; Zhang, Xianzheng; Chang, Ming; Li, Mingwei] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610054, Peoples R China.
   [Gong, Lingfeng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
C3 Chengdu University of Technology; China Geological Survey; Xihua
   University
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610054, Peoples R China.
EM tangc@cdut.edu.cn
TC 25
Z9 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD JAN
PY 2022
VL 208
AR 105781
DI 10.1016/j.catena.2021.105781
EA OCT 2021
SC Geology; Agriculture; Water Resources
UT WOS:000708436100027
ER

PT J
AU Bai, SB
   Wang, J
   Thiebes, B
   Cheng, C
   Chang, ZY
AF Bai, S. B.
   Wang, J.
   Thiebes, B.
   Cheng, C.
   Chang, Z. Y.
TI Susceptibility assessments of the Wenchuan earthquake-triggered
   landslides in Longnan using logistic regression
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Wenchuan earthquake; Longnan; Landslide susceptibility; Logistic
   regression; China
ID HAZARD; GIS; MODELS; ISLAND
AB In this study a Wenchuan earthquake-induced landslide susceptibility assessment was carried out in the Longnan area in northwestern China using a GIS-based logistic regression model. This region has frequently been affected by landslides in the past, and was intensively affected by the 5.12 Wenchuan earthquake which received considerable international attention. The data used for this study consist of the landslides triggered by the Wenchuan earthquake and a landslide pre-disposing factor database. Information regarding the landslide causative factors came from additional data sources, such as a digital elevation model (DEM) with a 30 x 30 m(2) resolution, orthophotos, geological and land-use maps, precipitation records, and information on peak ground acceleration data from the 2008 earthquake. The statistical analysis of the relationship between the Wenchuan earthquake-triggered landslides and pre-disposing factors showed the great influence of lithological and topographical conditions on slope failures. The quality of susceptibility mapping was validated by splitting the study area into training and validation sections. The prediction capability analysis demonstrated that the landslide susceptibility map could be used for land planning as well as emergency planning by local authorities.
C1 [Bai, S. B.; Wang, J.; Thiebes, B.; Cheng, C.; Chang, Z. Y.] Nanjing Normal Univ, Coll Geog Sci, Natl Educ Adm, Key Lab Virtual Geog Environm, Nanjing 210046, Jiangsu, Peoples R China.
C3 Nanjing Normal University
RP Bai, SB (corresponding author), Nanjing Normal Univ, Coll Geog Sci, Natl Educ Adm, Key Lab Virtual Geog Environm, Nanjing 210046, Jiangsu, Peoples R China.
EM shibiaobai21@163.com
TC 37
Z9 40
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD JAN
PY 2014
VL 71
IS 2
SI SI
BP 731
EP 743
DI 10.1007/s12665-013-2475-z
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000329996200021
ER

PT J
AU Hu, GS
   Huang, H
   Chen, NS
   Somos-Valenzuela, M
   Yang, ZQ
   He, J
AF Hu, Guisheng
   Huang, Hong
   Chen, Ningsheng
   Somos-Valenzuela, Marcelo
   Yang, Zhiquan
   He, Jie
TI Largest scale successful real-time evacuation after the Wenchuan
   earthquake in China: lessons learned from the Zengda gully giant debris
   flow disaster
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Zengda gully debris flow; dynamic characteristics; formation and
   movement process; real-time evacuation; early warning mode
ID VALLEY
AB A catastrophic debris flow occurred in the Zengda gully, a branch of the Dajinchuan River in Zengda town, Jinchuan County, Sichuan Province, China. The successful implementation of a real-time evacuation avoided 820 casualties for people living in 200 settlements. This was the largest-scale successful real-time evacuation for a debris flow disaster after the Wenchuan earthquake in China. In order to better reveal the causes of the successful real-time evacuation process of the giant debris flow disaster, the characteristics, formation and movement process of the debris flow were studied using multi-temporal remote sensing images, field investigation, laboratory analysis, and empirical formula calculations. It was found that the successful real-time evacuation was possible because of a well-executed monitoring system, timely release of early warning information, a highly effective operation disaster prevention system, and decisive and advanced avoidance. It also transferred strategies through in-depth analysis of several important stages in the real-time evacuation process. Finally, an exemplary mode of community-based warning is proposed based on the Zengda gully giant debris flow disaster real-time evacuation. Specifically, the mode was led by government, implemented by local residents and proceeded with the guidance by experts in the field. The experience and effective risk avoidance mode presented in this paper can be shared and employed by other countries or regions at serious risk for debris flow disasters.
C1 [Hu, Guisheng; Huang, Hong; Chen, Ningsheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China.
   [Hu, Guisheng; Chen, Ningsheng] Acad Plateau Sci & Sustainabil, Xining, Peoples R China.
   [Huang, Hong] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Somos-Valenzuela, Marcelo] Univ La Frontera, Fac Agr & Forest Sci, Dept Forest Sci, Temuco, Chile.
   [Somos-Valenzuela, Marcelo] Univ La Frontera, Butamallin Res Ctr Global Change, Temuco, Chile.
   [Yang, Zhiquan] Kunming Univ Sci & Technol, Kunming, Yunnan, Peoples R China.
   [He, Jie] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Universidad de La Frontera; Universidad de La
   Frontera; Kunming University of Science & Technology; Chengdu University
   of Technology
RP Chen, NS (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China.; Chen, NS (corresponding author), Acad Plateau Sci & Sustainabil, Xining, Peoples R China.; Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Kunming, Yunnan, Peoples R China.
EM chennsh@imde.ac.cn; yzq1983816@kust.edu.cn
TC 3
Z9 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PD JAN 1
PY 2022
VL 13
IS 1
BP 19
EP 34
DI 10.1080/19475705.2021.2000045
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000729998300001
ER

PT J
AU Xiong, J
   Chen, HY
   Tang, C
   Tang, CX
   Gong, LF
   Chen, M
   Zhang, XZ
   Yang, T
   Li, N
   Shi, QY
   Li, MW
AF Xiong, Jiang
   Chen, Huayong
   Tang, Chuan
   Tang, Chenxiao
   Gong, Lingfeng
   Chen, Ming
   Zhang, Xianzheng
   Yang, Tao
   Li, Ning
   Shi, Qingyun
   Li, Mingwei
TI Geomorphometric assessment of spatial transfer potential of landslides
   sediment in seismically impacted areas
SO NATURAL HAZARDS
DT Article
DE Wenchuan seismic region; Landslide sediment; Transport capacity; Remote
   sensing; GIS
ID EARTHQUAKE-INDUCED LANDSLIDES; CATASTROPHIC DEBRIS FLOWS; 2008 WENCHUAN
   EARTHQUAKE; DISTRIBUTION PATTERN; TRANSPORT; EROSION; RIVER;
   CONNECTIVITY; CATCHMENTS; LANDSCAPE
AB In the Wenchuan seismic region, solid material transport by landslides on hillslopes to channels has increased, increasing the susceptibility of debris flow in this seismic region. Timely and accurate mapping of the solid material transport potential of landslides on hillslopes is important for sediment management and debris-flow risk management. To rapidly and accurately understand the spatial distribution of the solid material transport potential of landslides on hillslopes in seismic areas, a new normalized index of the solid material transport potential of landslides on hillslopes (NDIH) was proposed to quantify the potential of solid material transport by landslides on hillslopes in drainage systems on the basis of remote sensing data and GIS platforms. The new approach was applied to 56 debris-flow basins in the epicenter of the Wenchuan seismic region, and the assessment results indicated that the regions between Gengda and Caopo had a greater potential for solid material transport by landslides on hillslopes in drainage systems, thereby increasing the susceptibility of debris flows at the beginning of the Wenchuan earthquake. Simultaneously, field investigations and remote sensing surveys were used to verify the rationality and reliability of the new method, and the area under the curve (AUC) of the ROC curve was 0.81; i.e., the results of the verification revealed that the NDIH can provide an accurate map of the solid material transport capacity of landslides on hillslopes, which was almost consistent with the findings of the field investigations. Compared with existing methods, the NDIH method has greater flexibility and applicability for revealing the potential of solid material transport on hillslopes in drainage systems in different geographical and climate regions.
C1 [Xiong, Jiang; Chen, Huayong; Tang, Chenxiao; Yang, Tao] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Sichuan, Peoples R China.
   [Tang, Chuan; Chen, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Gong, Lingfeng; Zhang, Xianzheng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China.
   [Shi, Qingyun] Chengdu Univ Informat & Technol, Chengdu 610225, Peoples R China.
   [Li, Mingwei] CAGS, Inst Geophys & Geochem Explorat, Langfang 065000, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; China Geological
   Survey; Xihua University; Chengdu University of Information Technology;
   China Geological Survey; Institute of Geophysical & Geochemical
   Exploration, Chinese Academy of Geological Sciences
RP Chen, HY (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Sichuan, Peoples R China.; Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
EM hychen@imde.ac.cn; tangc@cdut.edu.cn
TC 3
Z9 3
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD APR
PY 2025
VL 121
IS 6
BP 6525
EP 6550
DI 10.1007/s11069-024-07034-w
EA DEC 2024
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001372565800001
ER

PT J
AU Ding, MT
   Miao, C
AF Ding, Mingtao
   Miao, Cheng
TI Comparative analysis of the distribution characteristics of geological
   hazards in the Lushan and Wenchuan earthquake-prone areas
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Distribution characteristics; Geological hazards; Lushan earthquake;
   Wenchuan earthquake
ID INDUCED LANDSLIDES; UPPER REACHES; DEBRIS FLOWS; SICHUAN; DISASTERS
AB In the 21st century, the 2008 Ms 8.0 Wenchuan earthquake and the 2013 Ms 7.0 Lushan earthquake occurred in Sichuan Province, southwestern China. These two powerful earthquakes caused huge property loss and numerous human casualties. The frequent occurrence of geological hazards (including landslides and debris flows) has brought great challenges to disaster prevention and reconstruction work in earthquake-prone areas. Combing the research method of field investigations with visual interpretation of high-resolution remote sensing images, this study investigates areas with a seismic intensity a parts per thousand yenVII. In the study, a systematic analysis is conducted to clarify the distribution characteristics of geological hazards in the Lushan and Wenchuan earthquake-prone areas based on statistics released by the Ministry of Land and Resources, Ministry of Water Resource, Ministry of Construction of China, and other related departments. Such a clarification was done through GIS technology with varied factor combinations. Hopefully, comparative analysis on the distribution characteristics of mountain disasters in Lushan and Wenchuan leads to determination of distribution similarities and differences in areas with a seismic intensity a parts per thousand yenVII. The study concludes, in a systematic manner, distribution characteristics under distinctive geomorphic conditions, geological structures, and other conditions in the study area; thus can serve as a reference for disaster prevention and demographic readjustment in areas with similar conditions, promoting harmonious development of humans and nature there.
C1 [Ding, Mingtao; Miao, Cheng] Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China.
C3 Southwest University of Science & Technology - China
RP Ding, MT (corresponding author), Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China.
EM mingtaoding@163.com
TC 8
Z9 9
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
PD SEP
PY 2015
VL 74
IS 6
BP 5359
EP 5371
DI 10.1007/s12665-015-4549-6
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000360537700060
ER

PT J
AU Tang, C
   Zhu, J
   Qi, X
   Ding, J
AF Tang, Chuan
   Zhu, Jing
   Qi, Xin
   Ding, Jun
TI Landslides induced by the Wenchuan earthquake and the subsequent strong
   rainfall event: A case study in the Beichuan area of China
SO ENGINEERING GEOLOGY
DT Article
DE Wenchuan earthquake; Landslide; Evolution; Rainstorm; Remote sensing
   imagery
ID TRIGGERED LANDSLIDES; SPATIAL-DISTRIBUTION; SUSCEPTIBILITY; NORTHRIDGE;
   IMPACT
AB The Wenchuan earthquake on May 12, 2008 triggered massive landslides and a subsequent, strong rainfall prompted the development of new landslides as well as the reactivation of some pre-existing landslides. The highest seismic intensity zone of the Wenchuan earthquake in Beichuan, China was selected as a case study to analyze the influence of the earthquake and the subsequent, heavy rains on landslide evolution. We selected this study area (414 km(2)) since it was close to the coseismic surface rupture and because it suffered strong ground motion. Based on the interpretation of high-resolution aerial photographs and remote sensing imagery combined with field investigation, 40 pre-earthquake landslides and 2221 coseismic landslides were identified with total landslide areas of 2.68 km(2) and 30.81 km(2), respectively. There were 134 large (over 50,000 m(2)), co-seismic landslides that covered a surface area of 15.54 km(2) and represented approximately 50.4% of the total area of the co-seismic landslides. The coseismic landslides were mainly located on the hanging wall of the causative fault and on the steep, valley sides of the Jian River and its tributaries. A strong rainfall event occurred four months after the Wenchuan earthquake and induced 969 new landslides (which covered a 6.90 km(2) area) and enlarged 169 existing landslides (2.48 km(2)). The landslides were identified in SPOTS images. Ultimately, we found that earthquake tremors and the subsequent rainstorm severely disturbed the surface strata, resulting in a large number of landslides. (C) 2011 Elsevier B.V. All rights reserved.
C1 [Tang, Chuan; Zhu, Jing; Qi, Xin; Ding, Jun] Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent, 1 Erxianqiao E Rd, Chengdu 610059, Sichuan, Peoples R China.
EM tangc@cdut.edu.cn; zhujing@cdut.edu.cn; 254461828@qq.com
TC 208
Z9 239
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD SEP 12
PY 2011
VL 122
IS 1-2
SI SI
BP 22
EP 33
DI 10.1016/j.enggeo.2011.03.013
SC Engineering; Geology
UT WOS:000295427400003
ER

PT J
AU Duan, YJ
   Zhang, XT
   Zhao, WB
   Han, XP
   Lv, LF
   Yao, YJ
   Jia, K
   Wang, Q
AF Duan, Yanjun
   Zhang, Xiaotong
   Zhao, Wenbo
   Han, Xinpei
   Lv, Lingfeng
   Yao, Yunjun
   Jia, Kun
   Wang, Qiao
TI A Study of Landslide Susceptibility Assessment and Trend Prediction
   Using a Rule-Based Discrete Grid Model
SO REMOTE SENSING
DT Article
DE landslide simulation; landslide susceptibility (LS); ensemble machine
   learning (ML); rule-based discrete grid model
ID WENCHUAN EARTHQUAKE; FLOW; DEPOSITS; MACHINE
AB Landslides are common natural disasters in mountainous regions, exerting considerable influence on socioeconomic development and city construction. Landslides occur and develop rapidly, often posing a significant threat to the safety of individuals and their property. Consequently, the mapping of areas susceptible to landslides and the simulation of the development of such events are crucial for the early warning and forecasting of regional landslide occurrences, as well as for the management of associated risks. In this study, a landslide susceptibility (LS) model was developed using an ensemble machine learning (ML) approach which integrates geological and geomorphological data, hydrological data, and remote sensing data. A total of nine factors (e.g., surface deformation rates (SDF), slope, and aspect) were used to assess the susceptibility of the study area to landslides and a grading of the LS in the study area was obtained. The proposed model demonstrates high accuracy and good applicability for LS. Additionally, a simulation of the landslide process and velocity was constructed based on the principles of landslide movement and the rule-based discrete grid model. Compared with actual unmanned aerial vehicle (UAV) imagery, this simulation model has a S & oslash;rensen coefficient (SC) of 0.878, a kappa coefficient of 0.891, and a total accuracy of 94.12%. The evaluation results indicate that the model aligns well with the spatial and temporal development characteristics of landslides, thereby providing a valuable reference basis for monitoring and early warning of landslide events.
C1 [Duan, Yanjun; Zhang, Xiaotong; Zhao, Wenbo; Han, Xinpei; Lv, Lingfeng; Yao, Yunjun] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
   [Jia, Kun; Wang, Qiao] Beijing Normal Univ, Fac Geog Sci, Innovat Res Ctr Satellite Applicat, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Zhang, XT (corresponding author), Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
EM 202221051070@mail.bnu.edu.cn; xtngzhang@bnu.edu.cn;
   202221051116@mail.bnu.edu.cn; 202321051200@mail.bnu.edu.cn;
   202321051203@mail.bnu.edu.cn; yaoyunjun@bnu.edu.cn; jiakun@bnu.edu.cn;
   wangqiao@bnu.edu.cn
TC 1
Z9 1
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD DEC
PY 2024
VL 16
IS 24
AR 4740
DI 10.3390/rs16244740
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001384524000001
ER

PT J
AU Wang, ZJ
   Zhao, BM
AF Wang, Zijun
   Zhao, Boming
TI Applicability of Accurate Ground Motion Estimation Using Initial P Wave
   for Earthquake Early Warning
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE earthquake early warning; ground motion estimation; Wenchuan earthquake;
   initial P wave; characteristic parameters
ID WENCHUAN EARTHQUAKE; AFTERSHOCKS
AB The earthquake early warning (EEW) system is capable of mitigating seismic hazards and reducing deaths, injuries, and economic losses. Although EEW approaches have already been developed worldwide, improving the accuracy and applicability is still controversial. Aiming at the ground motion estimation using the initial P wave, we investigated eight representative characteristic parameters, i.e., the peak measurements and integral quantities, using the database of the 2008 Wenchuan earthquake, where the aftershocks with the criteria that 4.0 <= Ms <= 6.5 and epicentral distance less than 150 km are analyzed. We established the relationships between the eight characteristic parameters and four ground motion parameters, respectively, based on which the estimation accuracy and reliability and the extent to which the increasingly expanding time windows could affect the estimates are analyzed accordingly. We found that the integral quantities could also be a robust estimator for peak ground acceleration (PGA), peak ground velocity (PGV), and spectral intensity (SI), while the peak measurement is more useful in estimating peak ground displacement (PGD). In addition, for estimating the ground motion of events with magnitudes less than 6.5, a 2-s window could effectively improve the estimation accuracy by approximately 11.5-18.5% compared with using a 1-s window, as the window increases to 3 s, the accuracy would further improve while the growth rate will be reduced to around 3.0-8.0%.
C1 [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Key Lab Urban Underground Engn, Minist Educ, Beijing, Peoples R China.
   [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Sch Civil Engn, Beijing, Peoples R China.
C3 Beijing Jiaotong University; Beijing Jiaotong University
RP Zhao, BM (corresponding author), Beijing Jiaotong Univ, Key Lab Urban Underground Engn, Minist Educ, Beijing, Peoples R China.; Zhao, BM (corresponding author), Beijing Jiaotong Univ, Sch Civil Engn, Beijing, Peoples R China.
EM bmzhao@bjtu.edu.cn
TC 5
Z9 6
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD SEP 13
PY 2021
VL 9
AR 718216
DI 10.3389/feart.2021.718216
SC Geology
UT WOS:000703677400001
ER

PT J
AU Han, YS
   Liu, HJ
   Cui, P
   Su, FH
   Du, DS
AF Han, Yongshun
   Liu, Hongjiang
   Cui, Peng
   Su, Fenghuan
   Du, Dongsheng
TI Hazard assessment on secondary mountain-hazards triggered by the
   Wenchuan earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE Wenchuan earthquake; rockfalls; landslides; debris flows; hazard
   assessment
ID LANDSLIDES
AB The Wenchuan earthquake triggered large numbers of secondary mountain hazards which caused great casualties and losses. Based upon remote sensing interpretation, field investigation, and disaster surveys, we describe the general situation of the earthquake, study the spatial distribution of the secondary mountain hazards, establishe a hazard degree index model according to disaster-forming factors and seismic parameters, and make a hazard assessment on the secondary mountain hazards. Moreover, using geographical information system and remote sensing technologies and the principle of regional factors, the study area is classified into four hazard zones: no-hazard zone, low-hazard zone, moderate-hazard zone, and high-hazard zone. The results show that the high-hazard zone is distributed along the three main fault zones of the Longmen Mountain, mainly along the Minjiang River valley, the Yuzi Creek, the Jianjiang River valley, and other river valley areas. The other hazard zones are distributed outside the high-hazard zone in a ring shape, respectively, and their hazard degrees decrease gradually, especially in the low elevation areas and the Chengdu Plain where the hazard degree is the lowest. The developmental trend of secondary mountain hazards is analyzed in view of geodynamics.
C1 [Han, Yongshun; Liu, Hongjiang; Cui, Peng; Su, Fenghuan] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Han, Yongshun; Du, Dongsheng] Hunan Univ Sci & Technol, Sch Architecture & Urban Planning, Xiangtan 411201, Hunan, Peoples R China.
   [Liu, Hongjiang] Yunnan Univ Finance & Econ, Sch City Management & Environm, Kunming 650221, Yunnan, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Hunan University of Science & Technology; Yunnan
   University of Finance & Economics
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
EM yongshunhan@yahoo.com.cn; hjliu@ynufe.edu.cn; pengcui@imde.ac.cn;
   fhsu@imde.ac.cn; cooliver@live.cn
TC 14
Z9 18
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031645
DI 10.1117/1.3154419
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700003
ER

PT J
AU Zou, Q
   Cui, P
   Zeng, C
   Tang, JX
   Regmi, AD
AF Zou, Qiang
   Cui, Peng
   Zeng, Chao
   Tang, Jianxi
   Regmi, Amar Deep
TI Dynamic process-based risk assessment of debris flow on a local scale
SO PHYSICAL GEOGRAPHY
DT Article
DE Debris flow; risk assessment; hazard analysis; vulnerability; Wenchuan
   earthquake
ID AVALANCHE RISK; HAZARD ASSESSMENT; MOUNTAIN HAZARDS; VULNERABILITY;
   RIVER; SETTLEMENTS; EARTHQUAKE; AUSTRIA; EXAMPLE; GIS
AB After the Wenchuan earthquake in China, debris flows have been more frequent. Multiple debris flows commonly occur in earthquake-affected areas during heavy rainfall, often causing losses of lives and property. We analyzed the dynamic movement of debris flows and proposed a quantitative method of debris flow hazard assessment, based on kinetic energy. Validated using field study of an actual debris flow disaster, these analyzes help determine the type, quantity, distribution, economic worth, and susceptibility of elements at risk. We established a method to determine vulnerability of elements at risk and we propose a systematic and quantitative method for local risk analysis of debris flows. We applied the proposed method to a debris flow in Qipan gully, which caused serious damages for Duwen Highway and Qipan settlements of Sichuan Province in 2013. With the support of a debris-flow movement numerical simulation, remote sensing, and GIS techniques, the proposed method analyzed disaster effects and divided the hazardous areas into three risk zones. Calculated risk zones coincided with the actual distribution and severity of damage of the event, suggesting that the risk assessment generated by the proposed method is consistent with results from the actual disaster.
C1 [Zou, Qiang; Tang, Jianxi] Southwest Univ Sci & Technol, Coll Environm & Resource, Mianyang, Peoples R China.
   [Cui, Peng; Zeng, Chao; Regmi, Amar Deep] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Peoples R China.
C3 Southwest University of Science & Technology - China; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS
RP Zou, Q (corresponding author), Southwest Univ Sci & Technol, Coll Environm & Resource, Mianyang, Peoples R China.
EM zouqiang@swust.edu.cn
TC 20
Z9 21
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0272-3646
EI 1930-0557
PY 2016
VL 37
IS 2
BP 132
EP 152
DI 10.1080/02723646.2016.1169477
SC Environmental Sciences & Ecology; Physical Geography; Geology;
   Meteorology & Atmospheric Sciences
UT WOS:000378142700003
ER

PT J
AU Zhu, J
   Ding, J
   Liang, JT
AF Zhu Jing
   Ding Jun
   Liang Jingtao
TI Influences of the Wenchuan Earthquake on sediment supply of debris flows
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan earthquake; Debris flow; Rainstorm; Remote sensing imagery
ID CHI-CHI-EARTHQUAKE; LANDSLIDES; IMPACTS
AB The 5.12 Wenchuan Earthquake and the subsequent rainstorms induced a large number of landslides, which later were transformed into debris flows. To evaluate the effect of the earthquake on the sediment supply of debris flows, eight debris flow basins near Beichuan City, Sichuan Province, China were chosen as the study area. The area variations of the debris flow source after the Wenchuan Earthquake and the subsequent rainstorm are analyzed and discussed in this paper. Interpretations of aerial photographs (after the 5.12 Wenchuan Earthquake) and SPOT5 images (after the rainstorm event of September 24, 2008) as well as field investigations were compared to identify the transformation of landslide surface in the study area, indicating that the landslide area in the eight debris flow basins significantly increased. The loose sediment area on the channel bed increased after the rainstorm event. In order to estimate the relationship of the landslide area with the rainfall intensity in different return periods, a model proposed by Uchihugi was adopted. Results show that new landslide area induced by heavy rainfall with 50-year and 100-year return period will be 0.87 km(2) and 1.67 km(2), respectively. The study results show the Wenchuan earthquake had particular influences on subsequent rainfall-induced debris flow occurrence.
C1 [Zhu Jing; Ding Jun; Liang Jingtao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Zhu, J (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM zhujing@cdut.edu.cn
TC 25
Z9 29
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2011
VL 8
IS 2
BP 270
EP 277
DI 10.1007/s11629-011-2114-7
SC Environmental Sciences & Ecology
UT WOS:000289004600019
ER

PT J
AU Huang, XX
   Wei, CJ
   Li, HG
AF Huang, Xiaoxia
   Wei, Chengjie
   Li, Hongga
TI Remote sensing analysis of the distribution and genetic mechanisms of
   transportation network damage caused by the Wenchuan earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE Remote sensing; seismic hazard; Wenchuan earthquake; transportation
   network blockage and damage; assessment; genetic mechanism analysis
AB Transportation networks are among the most important lifelines for postseismic relief and reconstruction. It is imperative to investigate, monitor, and analyze transportation network damage caused by earthquake disasters in near real-time. Herein, we present a method for the analysis of seismic hazards and the subsequent assessment of the impact of the Wenchuan earthquake on transportation networks employing remote sensing and geographical information systems. In this method, the locations, shapes, lengths, and areas of the main damaged segments of state and provincial highways are interpreted and surveyed based on airborne ADS40 data and diverse remotely sensed satellite images of varying resolutions before and after the disaster. Next, the spatial distributions of geological disasters such as landslides, land-collapses, mud-rock flows, bank-collapses, earthquake rifts, and faults, as well as barrier lakes, were analyzed. These types of geological disasters commonly cause transportation network blockage and damage. Finally, geographical factors, including geological structures, topography, and landscapes, were collected and integrated with the disaster statistics to quantitatively analyze the primary transportation seismic disaster indices, and evaluate the geographical characteristics and genetic mechanisms of seismic disasters.
   Our results indicate that transportation network blockage and damage occurred in 808 segments, with a total length of 170.2 km, and occupied 29.66% of the total length of the state and provincial highways in the core disaster regions. The distribution of transportation network blockage and damage has obvious geographical characteristics. It is concentrated in regions near geological faults, folds, rock crushes, and breaks, especially near the Longmenshan-controlling fault, which played a decisive role in the Wenchuan earthquake. The remotely sensed images, maps, and analytical results on the geographical distribution and genetic mechanisms of the transportation network blockage and damage effectively guided the national department of transportation repair and reconstruction planning for the disaster areas.
C1 [Huang, Xiaoxia; Wei, Chengjie; Li, Hongga] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences
RP Huang, XX (corresponding author), Chinese Acad Sci, Inst Remote Sensing Applicat, POB 9718, Beijing 100101, Peoples R China.
EM Hxx@irsa.ac.cn; Wei_chengjie@yahoo.com.cn; Lihongga@irsa.ac.cn
TC 5
Z9 6
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031650
DI 10.1117/1.3154387
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700004
ER

PT J
AU Yang, WT
   Qi, WW
   Zhou, JX
AF Yang, Wentao
   Qi, Wenwen
   Zhou, Jinxing
TI Decreased post-seismic landslides linked to vegetation recovery after
   the 2008 Wenchuan earthquake
SO ECOLOGICAL INDICATORS
DT Article
DE Wenchuan earthquake; Post-seismic landslide changes; Vegetation
   recovery; Co-seismic landslide sites
ID SOIL-EROSION; GEO-HAZARDS; IMPACTS; AREA; EPICENTER
AB Major mountain earthquakes could have long-term impacts on post-seismic landslide activities. Yet, we have limited understanding of the duration of these impacts due to a lack of long-term consistent observation. This study combines multi-year high spatial resolution and high temporal resolution remote sensing images collected before and after the 12 May 2008 M-w 7.9 Wenchuan earthquake to investigate post-seismic landslide changes and vegetation recovery processes at landslide sites in the epicentral area. We found that the earthquake caused significant vegetation damage by triggering co-seismic landslides. Since that time, vegetation at these landslide sites has been continuously recovering, and the total post-seismic landslide area is decreasing concurrently. Post seismic vegetation recovery reflects and possibly promotes the decrease of post-seismic landslide activities. Our findings on post-seismic vegetation recovery at landslide sites indicate that the Wenchuan earthquake's impact on regional post-seismic landslide frequency may disappear within two decades after the major event.
C1 [Yang, Wentao; Zhou, Jinxing] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
   [Qi, Wenwen] Beijing Twenty First Century Sci & Technol Dev Co, Beijing 100096, Peoples R China.
   [Yang, Wentao; Zhou, Jinxing] Beijing Forestry Univ, Key Lab State Forestry Adm Soil & Water Conserv, Jianshui Res Stn, Beijing 100083, Peoples R China.
   [Qi, Wenwen] Twenty First Century Aerosp Technol Co Ltd, Beijing 100096, Peoples R China.
C3 Beijing Forestry University; Beijing Forestry University
RP Yang, WT; Zhou, JX (corresponding author), Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
EM yang_wentao@bjfu.edu.cn; zjx001@bjfu.edu.cn
TC 83
Z9 94
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
PD JUN
PY 2018
VL 89
BP 438
EP 444
DI 10.1016/j.ecolind.2017.12.006
SC Biodiversity & Conservation; Environmental Sciences & Ecology
UT WOS:000430760900042
ER

PT J
AU Lu, T
   Zeng, HC
   Luo, Y
   Wang, Q
   Shi, FS
   Sun, G
   Wu, Y
   Wu, N
AF Lu, Tao
   Zeng, Hongcheng
   Luo, Yan
   Wang, Qian
   Shi, Fusun
   Sun, Geng
   Wu, Yan
   Wu, Ning
TI Monitoring vegetation recovery after China's May 2008 Wenchuan
   earthquake using Landsat TM time-series data: a case study in Mao County
SO ECOLOGICAL RESEARCH
DT Article
DE Wenchuan earthquake; Vegetation damage; Vegetation recovery; Landsat
   image
ID INDUCED LANDSLIDES; CENTRAL TAIWAN; LOGISTIC-REGRESSION; COVER;
   ECOSYSTEMS; IMAGERY; GIS; CONSERVATION; DISTURBANCES; HABITAT
AB The Wenchuan earthquake (Richter scale 8) on 12 May 2008 in southwestern China caused widespread ecosystem damage in the Longmenshan area. It is important to evaluate natural vegetation recovery processes and provide basic information on ecological aspects of the recovering environment after the earthquake. To circumvent the weather limits of remote sensing in the Wenchuan earthquake-hit areas, and to meet the need for regional observation analyses, three Landsat TM images pre- and post-earthquake in Mao County were used for analysis. Post-earthquake normalized difference vegetation index (NDVI) values were compared to pre-earthquake values with an NDVI-based index differencing method to determine the extent to which the vegetation was damaged in relation to the pre-earthquake pattern, and the rate of recovery was evaluated. The spatial characteristics of vegetation loss and natural recovery patterns were analyzed in relation to elevation, slope and aspect. The results indicated that severely damaged sites occurred mainly in river valleys, within a range of 1,500-2,500 m elevation and on slopes of 25-55A degrees. The distance from rivers, rather than the distance from active faults, controls the damage patterns. After 1 year of natural regeneration, 36 % of the destroyed areas showed a decrease in NDVI value, 28.8 % showed very little change, 19.1 % showed an increase, and 16.1 % also increased with a recovery rate greater than 100 %. Moreover, there is a good correlation between recovery rate and both slope and elevation, but recovery patterns in the damaged area are complicated. Our results indicate that natural recovery in this arid valley is a slow process.
C1 [Lu, Tao; Luo, Yan; Wang, Qian; Shi, Fusun; Sun, Geng; Wu, Yan; Wu, Ning] Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu 610041, Peoples R China.
   [Zeng, Hongcheng] Univ Toronto, Fac Forestry, Toronto, ON M5S 3B3, Canada.
   [Wu, Ning] Int Ctr Integrated Mt Dev ICIMOD, Kathmandu, Nepal.
C3 Chinese Academy of Sciences; Chengdu Institute of Biology, CAS;
   University of Toronto
RP Wu, N (corresponding author), Chinese Acad Sci, Chengdu Inst Biol, Key Lab Mt Ecol Restorat & Bioresource Utilizat, Chengdu 610041, Peoples R China.
EM lutao@cib.ac.cn; wuning@cib.ac.cn
TC 31
Z9 44
PU SPRINGER JAPAN KK
PI TOKYO
PA CHIYODA FIRST BLDG EAST, 3-8-1 NISHI-KANDA, CHIYODA-KU, TOKYO, 101-0065,
   JAPAN
SN 0912-3814
PD SEP
PY 2012
VL 27
IS 5
BP 955
EP 966
DI 10.1007/s11284-012-0976-y
SC Environmental Sciences & Ecology
UT WOS:000308951600015
ER

PT J
AU Jiang, ZY
   Fan, XM
   Subramanian, SS
   Yang, F
   Tang, R
   Xu, Q
   Huang, RQ
AF Jiang, Zhuoyan
   Fan, Xuanmei
   Subramanian, Srikrishnan Siva
   Yang, Fan
   Tang, Ran
   Xu, Qiang
   Huang, Runqiu
TI Probabilistic rainfall thresholds for debris flows occurred after the
   Wenchuan earthquake using a Bayesian technique
SO ENGINEERING GEOLOGY
DT Article
DE Post-seismic debris flows; Antecedent rainfall; Bayesian technique;
   Probabilistic thresholds; Wenchuan earthquake
ID INTENSITY-DURATION THRESHOLD; CHI-CHI EARTHQUAKE; 13 AUGUST 2010;
   SHALLOW LANDSLIDES; INITIATION; IMPACT; HAZARD; AREA; PREDICTION
AB Empirically derived rainfall thresholds of debris flows are used for regional-scale early warning. However, triggering rainfall intensities of post-seismic debris flows evolve with time, causing high false alarms since thresholds estimated by conventional methods ignore the uncertainty of non-triggering rainfall events. Based on 172 triggering rainfalls and 2396 non-triggering rainfalls from 2008 to 2013 after the Wenchuan earthquake, we analyzed the evolution of probabilistic rainfall thresholds for post-seismic debris flows using a Bayesian technique. We found, rainfall thresholds significantly decrease compared with pre-earthquake events initially and later tend to increase annually. Meanwhile, the triggering rainfall characteristics tend to gradually change from a short-duration high-intensity pattern to a long-duration and low-intensity pattern. We also checked the effect of antecedent precipitation on debris flows by defining an IET (inter-event time). Our results suggest the antecedent precipitation plays an important role in low-intensity long-duration rainfall-induced debris flows and has little effect on the short-duration high-intensity rainfall-induced debris flows. The characteristics of triggering rainfall for debris flows after the Wenchuan earthquake can be best reflected by IET = 7 h. By employing a Naive Bayes algorithm, uncertainties of three rainfall threshold models, I-D (mean intensity-duration), I-T-D (triggering intensity- duration), and I-T-E (triggering intensity-cumulative rainfall) were investigated, and the I-T-D model was found to perform best. The characteristics and evolution of debris flow rainfall thresholds over the years after the Wenchuan earthquake was best presented by the Bayesian probabilistic rainfall thresholds. We believe the results can be used to improve the precision of an early warning system for post-seismic debris flows.
C1 [Jiang, Zhuoyan; Fan, Xuanmei; Subramanian, Srikrishnan Siva; Yang, Fan; Xu, Qiang; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
   [Tang, Ran] Chengdu Univ, Sch Architecture & Civil Engn, Chengdu, Peoples R China.
C3 Chengdu University of Technology; Chengdu University
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
EM fxm_cdut@qq.com
TC 53
Z9 56
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JAN
PY 2021
VL 280
AR 105965
DI 10.1016/j.enggeo.2020.105965
SC Engineering; Geology
UT WOS:000615526300041
ER

PT J
AU Zhu, JF
   Zhou, Y
   Wang, SX
   Wu, FY
   Wang, FT
   Yan, FL
   Wang, LT
AF Zhu Jinfeng
   Zhou Yi
   Wang Shixin
   Wu Fayun
   Wang Futao
   Yan Fuli
   Wang Litao
TI Monitoring the vegetation deterioration and recovery of serious disaster
   area in Wenchuan Earthquake based on remote sensing
SO DISASTER ADVANCES
DT Article
DE TM; Wenchuan Earthquake; vegetation deterioration; vegetation recovery;
   remote sensing
ID WATER
AB The devastating Wenchuan Earthquake with a magnitude of 8.0 occurred in Sichuan Province, Southwest China, on May 12, 2008, which had seriously interfered with the ecosystem in the disaster regions, resulting in large areas of vegetation deterioration and soil erosion. This study monitored the vegetation deterioration and recovery in three serious disaster regions, which were Wenchuan Count, Yingxiu Town and Zipingpu Reservoir separately, by using NDVI-based quantitative indexes coupled with multi-temporal Landsat/TM and EO-1/ALI images and digital elevation model (DEM). The results indicated that vegetation destruction in these regions after earthquake was very serious, and the areas of destroyed vegetation in Yingxiu Town, which as the earthquake center, had accounted for 51%.
   The average vegetation recovery ratio in the three regions reached 75.8%, 55.4% and 41.5% on August 28, 2011, 3 years after the earthquake under natural vegetation succession, and the vegetation recovery was still ongoing from the trend of vegetation activities. Vegetation deterioration and recovery had a close relationship with the slope that vegetation was most likely to recover in the slope between 35 to 45. The study results provide very useful information for ecological reconstruction and recovery in the disaster areas.
C1 [Zhu Jinfeng; Zhou Yi; Wang Shixin; Wang Futao; Yan Fuli; Wang Litao] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
   [Zhu Jinfeng] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.
   [Wu Fayun] State Forestry Adm, Acad Forest Inventory & Planning, Beijing 100714, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Zhou, Y (corresponding author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
EM zhouyi@irsa.ac.cn
TC 5
Z9 5
PU DISASTER ADVANCES
PI INDORE
PA SECTOR AG-80, SCHEME NO 54, VIJAY NAGAR, A B RD, INDORE, 452010, INDIA
SN 0974-262X
EI 2278-4543
PD OCT
PY 2012
VL 5
IS 4
BP 1172
EP 1178
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000313100100199
ER

PT J
AU Chang, M
   Tang, C
   Ni, HY
   Qu, YP
AF Chang, Ming
   Tang, Chuan
   Ni, Huayong
   Qu, Yongping
TI Evolution process of sediment supply for debris flow occurrence in the
   Longchi area of Dujiangyan City after the Wenchuan earthquake
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Debris flow; Landslides; Dynamic evolution; Remote
   sensing
ID LANDSLIDES; CHINA
AB In order to analyze the changes in the sediment budget after the Wenchuan earthquake and after the heavy rain events in the following years, 12 debris flow gullies in the Longchi Dujiangyan County were selected. A comparison of the TM images taken on 18 September 2007 (before the "5.12" Wenchuan earthquake) with the SPOT5 images taken on 10 February 2009 (after the "5.12" Wenchuan earthquake) indicates that the landslide area in the 12 debris flow watersheds increased from 83.1 x 10(3) m(2) to 3126.5 x 10(3) m(2). Also, the gully length increased by 60.55 %, and the area with deposits in the channel bed increased by 134.80 %. A comparison of the SPOT5 images taken on 10 February 2009 (after the "5.12" Wenchuan earthquake) with the WorldView-2 images taken on 26 April 2011 (after the large rainstorm event in August 2011) showed that the landslide area increased by 24.8 % from 3126.5 x 10(3) m(2) to 3902.8 x 10(3) m(2) while the gully length increased by 26 % and the channel deposits by 12 %. A comparison of the WorldView-2 images taken on 26 April 2011 with the WorldView-2 images taken on 14 July 2011 indicated that the landslide area increased in this relatively dry period by only 2.3 %.
C1 [Chang, Ming; Tang, Chuan; Ni, Huayong; Qu, Yongping] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Ni, Huayong] China Geol Survey, Chengdu Inst Geol & Mineral Resources, Chengdu 610081, Peoples R China.
C3 Chengdu University of Technology; China Geological Survey
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM changmxq@126.com; 2401634274@qq.com
TC 25
Z9 26
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JUN
PY 2015
VL 12
IS 3
BP 611
EP 623
DI 10.1007/s10346-015-0571-8
SC Engineering; Geology
UT WOS:000355341400015
ER

PT J
AU Zhou, SS
   Li, WL
   Lu, HY
   Xu, Z
   Yu, WL
   Xu, SM
   Zhang, P
   Wei, CH
   Li, YS
   Wang, DF
   Zhan, WW
   Xu, Q
AF Zhou, Shengsen
   Li, Weile
   Lu, Huiyan
   Xu, Zhou
   Yu, Wenlong
   Xu, Shanmiao
   Zhang, Pan
   Wei, Chunhao
   Li, Yusen
   Wang, Defu
   Zhan, Weiwei
   Xu, Qiang
TI Preliminary analysis of a slow-moving high-locality landslide in the
   Zagunao River Basin, Sichuan Province, China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Bulan landslide; SBAS-InSAR; Optical satellite image; Retrogressive
   failure; Slope evolution
ID 2008 WENCHUAN EARTHQUAKE; EASTERN TIBETAN PLATEAU; SURFACE DEFORMATION;
   XINMO LANDSLIDE; FAILURE; EVOLUTION; SAR; INTERFEROMETRY; HAZARDS;
   EROSION
AB The Bulan landslide, located in the Zagunao River Basin, Sichuan Province, China, is a typical slow-moving, high-locality landslide that poses ongoing risks to nearby infrastructure and communities. This study investigates its morphology, structural features, long-term deformation, and driving mechanisms through a combination of optical image interpretation, Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) monitoring, and detailed field investigations. Both optical and InSAR data reveal persistent surface displacement over multiple years, providing compelling evidence of progressive instability. The deformation pattern, supported by remote sensing and geological interpretation, indicates a retrogressive failure process. The landslide's development is attributed to the combined effects of long-term gravitational unloading, seismic activity, and anthropogenic modifications such as land leveling and irrigation. These findings demonstrate the effectiveness of multi-source remote sensing in capturing the spatiotemporal evolution of landslides and underscore the need for integrated ground-based monitoring to enhance early warning and disaster mitigation efforts.
C1 [Zhou, Shengsen; Li, Weile; Lu, Huiyan; Xu, Zhou; Yu, Wenlong; Xu, Shanmiao; Zhang, Pan; Wei, Chunhao; Li, Yusen; Xu, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Xu, Zhou] 11th Geol Brigade Sichuan, Dazhou 635006, Peoples R China.
   [Wang, Defu] Minist Nat Resource, Geoinformat Mapping Inst 3, Chengdu 610100, Peoples R China.
   [Zhan, Weiwei] Univ Cent Florida, Dept Civil Environm & Construct Engn, Orlando, FL 32826 USA.
C3 Chengdu University of Technology; State University System of Florida;
   University of Central Florida
RP Li, WL (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM liweile08@mail.cdut.edu.cn
TC 0
Z9 0
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD OCT 24
PY 2025
VL 84
IS 11
AR 532
DI 10.1007/s10064-025-04572-w
SC Engineering; Geology
UT WOS:001599614900004
ER

PT J
AU Abuzied, S
   Ibrahim, S
   Kaiser, M
   Saleem, T
AF Abuzied, Sara
   Ibrahim, Samia
   Kaiser, Mona
   Saleem, Tarek
TI Geospatial susceptibility mapping of earthquake-induced landslides in
   Nuweiba area, Gulf of Aqaba, Egypt
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Geographic Information Systems (GIS); Remote Sensing (RS); Landslides;
   Susceptibility mapping; Weights; Nuweiba area
ID 2008 WENCHUAN EARTHQUAKE; INTEGRATED APPROACH; HAZARD ZONATION; GIS;
   MODELS
AB Earthquake induced landslides are one of the most severe geo-environmental hazards that cause enormous damage to infrastructure, property, and loss of life in Nuweiba area. This study developed a model for mapping the earthquake-induced landslide susceptibility in Nuweiba area in Egypt with considerations of geological, geomorphological, topographical, and seismological factors. An integrated approach of remote sensing and GIS technologies were applied for that target. Several data sources including Terra SAR-X and SPOT 5 satellite imagery, topographic maps, field data, and other geospatial resources were used to model landslide susceptibility. These data were used specifically to produce important thematic layers contributing to landslide occurrences in the region. A rating scheme was developed to assign ranks for the thematic layers and weights for their classes based on their contribution in landslide susceptibility. The ranks and weights were defined based on the knowledge from field survey and authors experiences related to the study area. The landslide susceptibility map delineates the hazard zones to three relative classes of susceptibility: high, moderate, and low. Therefore, the current approach provides a way to assess landslide hazards and serves for geo-hazard planning and prediction in Nuweiba area.
C1 [Abuzied, Sara] Univ Oklahoma, Ctr Spatial Anal, Norman, OK 73072 USA.
   [Abuzied, Sara; Ibrahim, Samia; Kaiser, Mona; Saleem, Tarek] Suez Canal Univ, Dept Geol, Fac Sci, Ismailia 41522, Egypt.
C3 University of Oklahoma System; University of Oklahoma - Norman; Egyptian
   Knowledge Bank (EKB); Suez Canal University
RP Abuzied, S (corresponding author), Univ Oklahoma, Ctr Spatial Anal, Norman, OK 73072 USA.; Abuzied, S (corresponding author), Suez Canal Univ, Dept Geol, Fac Sci, Ismailia 41522, Egypt.
EM saraabozied2@gmail.com; skmmohamd@hotmail.com;
   mona_kaysar@science.suez.edu.eg; tarekselem73@yahoo.com
TC 21
Z9 27
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUL
PY 2016
VL 13
IS 7
BP 1286
EP 1303
DI 10.1007/s11629-015-3441-x
SC Environmental Sciences & Ecology
UT WOS:000379268900013
ER

PT J
AU Yang, WT
   Zhang, XF
   Luo, P
AF Yang, Wanting
   Zhang, Xianfeng
   Luo, Peng
TI Transferability of Convolutional Neural Network Models for Identifying
   Damaged Buildings Due to Earthquake
SO REMOTE SENSING
DT Article
DE earthquake; disaster-damaged buildings; transfer learning; CNN; VHR
   images
ID 2008 WENCHUAN EARTHQUAKE; IMAGERY; EXTRACTION
AB The collapse of buildings caused by earthquakes can lead to a large loss of life and property. Rapid assessment of building damage with remote sensing image data can support emergency rescues. However, current studies indicate that only a limited sample set can usually be obtained from remote sensing images immediately following an earthquake. Consequently, the difficulty in preparing sufficient training samples constrains the generalization of the model in the identification of earthquake-damaged buildings. To produce a deep learning network model with strong generalization, this study adjusted four Convolutional Neural Network (CNN) models for extracting damaged building information and compared their performance. A sample dataset of damaged buildings was constructed by using multiple disaster images retrieved from the xBD dataset. Using satellite and aerial remote sensing data obtained after the 2008 Wenchuan earthquake, we examined the geographic and data transferability of the deep network model pre-trained on the xBD dataset. The result shows that the network model pre-trained with samples generated from multiple disaster remote sensing images can extract accurately collapsed building information from satellite remote sensing data. Among the adjusted CNN models tested in the study, the adjusted DenseNet121 was the most robust. Transfer learning solved the problem of poor adaptability of the network model to remote sensing images acquired by different platforms and could identify disaster-damaged buildings properly. These results provide a solution to the rapid extraction of earthquake-damaged building information based on a deep learning network model.
C1 [Yang, Wanting; Zhang, Xianfeng] Peking Univ, Inst Remote Sensing & Geog Informat Syst, 5 Summer Palace Rd, Beijing 100871, Peoples R China.
   [Luo, Peng] Tech Univ Munich, Dept Aerosp & Geodesy, D-80333 Munich, Germany.
C3 Peking University; Technical University of Munich
RP Zhang, XF (corresponding author), Peking Univ, Inst Remote Sensing & Geog Informat Syst, 5 Summer Palace Rd, Beijing 100871, Peoples R China.
EM wtyang@pku.edu.cn; xfzhang@pku.edu.cn; peng.luo@tum.de
TC 51
Z9 59
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD FEB
PY 2021
VL 13
IS 3
AR 504
DI 10.3390/rs13030504
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000615470700001
ER

PT J
AU Qiao, G
   Lu, P
   Scaioni, M
   Xu, SY
   Tong, XH
   Feng, TT
   Wu, HB
   Chen, W
   Tian, YX
   Wang, WA
   Li, RX
AF Qiao, Gang
   Lu, Ping
   Scaioni, Marco
   Xu, Shuying
   Tong, Xiaohua
   Feng, Tiantian
   Wu, Hangbin
   Chen, Wen
   Tian, Yixiang
   Wang, Weian
   Li, Rongxing
TI Landslide Investigation with Remote Sensing and Sensor Network: From
   Susceptibility Mapping and Scaled-down Simulation towards in situ
   Sensor Network Design
SO REMOTE SENSING
DT Article
DE landslide; sensor network; susceptibility mapping; remote sensing
ID WENCHUAN EARTHQUAKE; LOGISTIC-REGRESSION; SATELLITE IMAGERY; HAZARD
   ASSESSMENT; SICHUAN PROVINCE; LIKELIHOOD RATIO; FREQUENCY RATIO;
   BEICHUAN AREA; INTERFEROMETRY; RAINFALL
AB This paper presents an integrated approach to landslide research based on remote sensing and sensor networks. This approach is composed of three important parts: (i) landslide susceptibility mapping using remote-sensing techniques for susceptible determination of landslide spots; (ii) scaled-down landslide simulation experiments for validation of sensor network for landslide monitoring, and (iii) in situ sensor network deployment for intensified landslide monitoring. The study site is the Taziping landslide located in Hongkou Town (Sichuan, China). The landslide features generated by landslides triggered by the 2008 Wenchuan Earthquake were first extracted by means of object-oriented methods from the remote-sensing images before and after the landslides events. On the basis of correlations derived between spatial distribution of landslides and control factors, the landslide susceptibility mapping was carried out using the Artificial Neural Network (ANN) technique. Then the Taziping landslide, located in the above mentioned study area, was taken as an example to design and implement a scaled-down landslide simulation platform in Tongji University (Shanghai, China). The landslide monitoring sensors were carefully investigated and deployed for rainfall induced landslide simulation experiments. Finally, outcomes from the simulation experiments were adopted and employed to design the future in situ sensor network in Taziping landslide site where the sensor deployment is being implemented.
C1 [Qiao, Gang; Lu, Ping; Scaioni, Marco; Xu, Shuying; Tong, Xiaohua; Feng, Tiantian; Wu, Hangbin; Chen, Wen; Tian, Yixiang; Wang, Weian; Li, Rongxing] Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
   [Li, Rongxing] Ohio State Univ, Mapping & GIS Lab, Columbus, OH 43210 USA.
C3 Tongji University; University System of Ohio; Ohio State University
RP Lu, P (corresponding author), Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
EM qiaogang@tongji.edu.cn; luping@tongji.edu.cn; marco@tongji.edu.cn;
   shadowice0810@163.com; xhtong@tongji.edu.cn; fengtiantian@tongji.edu.cn;
   hb@tongji.edu.cn; chenwen_ecnu@126.com; tianyixiang@tongji.edu.cn;
   weian@tongji.edu.cn; li.282@osu.edu
TC 45
Z9 48
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2072-4292
PD SEP
PY 2013
VL 5
IS 9
BP 4319
EP 4346
DI 10.3390/rs5094319
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000328613300009
ER

PT J
AU Pan, HL
   Jiang, YJ
   Wang, J
   Ou, GQ
AF Pan, Hua-Li
   Jiang, Yuan-Jun
   Wang, Jun
   Ou, Guo-Qiang
TI Rainfall threshold calculation for debris flow early warning in areas
   with scarcity of data
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID INTENSITY-DURATION THRESHOLDS; INDUCED SHALLOW LANDSLIDES; 13 AUGUST
   2010; WENCHUAN EARTHQUAKE; SHIKOKU ISLAND; INITIATION; MODEL; PATTERNS
AB Debris flows are natural disasters that frequently occur in mountainous areas, usually accompanied by serious loss of lives and properties. One of the most commonly used approaches to mitigate the risk associated with debris flows is the implementation of early warning systems based on well-calibrated rainfall thresholds. However, many mountainous areas have little data regarding rainfall and hazards, especially in debris-flow-forming regions. Therefore, the traditional statistical analysis method that determines the empirical relationship between rainstorms and debris flow events cannot be effectively used to calculate reliable rainfall thresholds in these areas. After the severe Wenchuan earthquake, there were plenty of deposits deposited in the gullies, which resulted in several debris flow events. The triggering rainfall threshold has decreased obviously. To get a reliable and accurate rainfall threshold and improve the accuracy of debris flow early warning, this paper developed a quantitative method, which is suitable for debris flow triggering mechanisms in meizoseismal areas, to identify rainfall threshold for debris flow early warning in areas with a scarcity of data based on the initiation mechanism of hydraulic-driven debris flow. First, we studied the characteristics of the study area, including meteorology, hydrology, topography and physical characteristics of the loose solid materials. Then, the rainfall threshold was calculated by the initiation mechanism of the hydraulic debris flow. The comparison with other models and with alternate configurations demonstrates that the proposed rainfall threshold curve is a function of the antecedent precipitation index (API) and 1 h rainfall. To test the proposed method, we selected the Guojuanyan gully, a typical debris flow valley that during the 2008-2013 period experienced several debris flow events, located in the meizoseismal areas of the Wenchuan earthquake, as a case study. The comparison with other threshold models and configurations shows that the selected approach is the most promising starting point for further studies on debris flow early warning systems in areas with a scarcity of data.
C1 [Pan, Hua-Li; Jiang, Yuan-Jun; Ou, Guo-Qiang] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Pan, Hua-Li; Jiang, Yuan-Jun; Ou, Guo-Qiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Wang, Jun] Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Guangdong Academy of Sciences;
   Guangzhou Institute of Geography, Guangdong Academy of Sciences
RP Jiang, YJ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.; Jiang, YJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
EM yuanjun.jiang.civil@gmail.com
TC 38
Z9 41
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PD MAY 17
PY 2018
VL 18
IS 5
BP 1395
EP 1409
DI 10.5194/nhess-18-1395-2018
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000432457400003
ER

PT J
AU Ren, ZK
   Zhang, ZQ
   Yin, JH
AF Ren, Zhikun
   Zhang, Zhuqi
   Yin, Jinhui
TI Erosion Associated with Seismically-Induced Landslides in the Middle
   Longmen Shan Region, Eastern Tibetan Plateau, China
SO REMOTE SENSING
DT Article
DE Wenchuan earthquake; topographic evolution; seismically-induced erosion;
   differential DEM
ID 2008 WENCHUAN EARTHQUAKE; VOLUME; SEDIMENT; INSIGHTS; OBLIQUE; SICHUAN;
   REVERSE; MARGIN; RATES; BELT
AB The 2008 Wenchuan earthquake and associated co-seismic landslide was the most recent expression of the rapid deformation and erosion occurring in the eastern Tibetan Plateau. The erosion associated with co-seismic landslides balances the long-term tectonic uplift in the topographic evolution of the region; however, the quantitative relationship between earthquakes, uplift, and erosion is still unknown. In order to quantitatively distinguish the seismically-induced erosion in the total erosion, here, we quantify the Wenchuan earthquake-induced erosion using the digital elevation model (DEM) differential method and previously-reported landslide volumes. Our results show that the seismically-induced erosion is comparable with the pre-earthquake short-term erosion. The seismically-induced erosion rate contributes similar to 50% of the total erosion rate, which suggests that the local topographic evolution of the middle Longmen Shan region may be closely related to tectonic events, such as the 2008 Wenchuan earthquake. We propose that seismically-induced erosion is a very important component of the total erosion, particularly in active orogenic regions. Our results demonstrate that the remote sensing technique of differential DEM provides a powerful tool for evaluating the volume of co-seismic landslides produced in intermountain regions by strong earthquakes.
C1 [Ren, Zhikun] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Ren, Zhikun; Zhang, Zhuqi; Yin, Jinhui] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration; Institute of Geology, CEA
RP Ren, ZK (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.; Ren, ZK (corresponding author), China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
EM rzk@ies.ac.cn; zzqgeorge@gmail.com; yjhdzs@ies.ac.cn
TC 8
Z9 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD AUG
PY 2017
VL 9
IS 8
AR 864
DI 10.3390/rs9080864
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000408605600102
ER

PT J
AU Elkadiri, R
   Sultan, M
   Youssef, AM
   Elbayoumi, T
   Chase, R
   Bulkhi, AB
   Al-Katheeri, MM
AF Elkadiri, Racha
   Sultan, Mohamed
   Youssef, Ahmed M.
   Elbayoumi, Tamer
   Chase, Ronald
   Bulkhi, Ali B.
   Al-Katheeri, Mohamed M.
TI A Remote Sensing-Based Approach for Debris-Flow Susceptibility
   Assessment Using Artificial Neural Networks and Logistic Regression
   Modeling
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Artificial neural networks (ANN); data mining; data-scarce field
   regions; debris flows; geographical information system (GIS); logistic
   regression (LR); remote sensing
ID RAINFALL-INDUCED LANDSLIDES; ANALYTIC HIERARCHY PROCESS; 2008 WENCHUAN
   EARTHQUAKE; FREQUENCY RATIO; RIVER-BASIN; GIS; PREDICTION; SYSTEM;
   MANAGEMENT; CATCHMENT
AB Efforts to map the distribution of debris flows, to assess the factors controlling their development, and to identify the areas susceptible to their occurrences are often hampered by the paucity of monitoring systems and historical databases in many parts of the world. In this paper, we develop and successfully apply methodologies that rely heavily on readily available remote-sensing datasets over the Jazan province in the Red Sea hills of Saudi Arabia. A fivefold exercise was conducted: 1) a geographical information system (GIS) with a Web interface was generated to host and analyze relevant coregistered remote-sensing data and derived products; 2) an inventory was compiled for debris flows identified from satellite datasets (e.g., GeoEye, Orbview), a subset of which was field verified; 3) spatial analyses were conducted in a GIS environment and 10 predisposing factors were identified; 4) an artificial neural network (ANN) model and a logistic regression (LR) model were constructed, optimized, and validated; and 5) the generated models were used to produce debris-flow susceptibility maps. Findings include: 1) excellent prediction performance for both models (ANN: 96.1%; LR: 96.3%); 2) the high correspondence between model outputs (91.5% of the predictions were common) reinforces the validity of the debris-flow susceptibility results; 3) the variables with the highest predictive power were topographic position index (TPI), slope, distance to drainage line (DTDL), and normalized difference vegetation index (NDVI); and 4) the adopted methodologies are reliable, cost-effective, and could potentially be applied over many of the world's data-scarce mountainous lands, particularly along the Red Sea Hills.
C1 [Elkadiri, Racha; Sultan, Mohamed; Chase, Ronald] Western Michigan Univ, Dept Geosci, Kalamazoo, MI 49008 USA.
   [Youssef, Ahmed M.; Bulkhi, Ali B.; Al-Katheeri, Mohamed M.] Saudi Geol Survey, Jeddah 21514, Saudi Arabia.
   [Elbayoumi, Tamer] Oklahoma State Univ, Dept Stat, Stillwater, OK 74074 USA.
C3 Western Michigan University; Saudi Geological Survey; Oklahoma State
   University System; Oklahoma State University - Stillwater
RP Elkadiri, R (corresponding author), Western Michigan Univ, Dept Geosci, Kalamazoo, MI 49008 USA.
EM racha.elkadiri@wmich.edu; mohamed.sultan@wmich.edu; Ahmed.AM@sgs.org.sa;
   tamer.m.elbayoumi@okstate.edu; ronald.chase@wmich.edu;
   Bulkhi.ab@sgs.org.sa; Katheri.mm@sgs.org.sa
TC 76
Z9 85
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PD DEC
PY 2014
VL 7
IS 12
SI SI
BP 4818
EP 4835
DI 10.1109/JSTARS.2014.2337273
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000348372000019
ER

PT J
AU Peng, CY
   Yang, JS
   Zheng, Y
   Xu, ZQ
   Jiang, XD
AF Peng, Chaoyong
   Yang, Jiansi
   Zheng, Yu
   Xu, Zhiqiang
   Jiang, Xudong
TI RETRACTED: Early magnitude estimation for the MW7.9 Wenchuan
   earthquake using progressively expanded P-wave time window (Retracted
   article. See vol. 5, 7602, 2015)
SO SCIENTIFIC REPORTS
DT Article; Retracted Publication
ID EARLY-WARNING PARAMETERS; RAPID-DETERMINATION; TAIWAN; SYSTEM; TAU(C)
AB More and more earthquake early warning systems (EEWS) are developed or currently being tested in many active seismic regions of the world. A well-known problem with real-time procedures is the parameter saturation, which may lead to magnitude underestimation for large earthquakes. In this paper, the method used to the M(W)9.0 Tohoku-Oki earthquake is explored with strong-motion records of the M(W)7.9, 2008 Wenchuan earthquake. We measure two early warning parameters by progressively expanding the P-wave time window (PTW) and distance range, to provide early magnitude estimates and a rapid prediction of the potential damage area. This information would have been available 40 s after the earthquake origin time and could have been refined in the successive 20 s using data from more distant stations. We show the suitability of the existing regression relationships between early warning parameters and magnitude, provided that an appropriate PTW is used for parameter estimation. The reason for the magnitude underestimation is in part a combined effect of high-pass filtering and frequency dependence of the main radiating source during the rupture process. Finally we suggest only using P-d alone for magnitude estimation because of its slight magnitude saturation compared to the tau(c) magnitude.
C1 [Peng, Chaoyong; Yang, Jiansi; Zheng, Yu; Xu, Zhiqiang; Jiang, Xudong] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA
RP Peng, CY (corresponding author), China Earthquake Adm, Inst Geophys, 5 Minzudaxue South Rd, Beijing 100081, Peoples R China.
EM pcy@geodevice.cn
TC 3
Z9 3
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD OCT 27
PY 2014
VL 4
AR 6770
DI 10.1038/srep06770
SC Science & Technology - Other Topics
UT WOS:000343978700002
ER

PT J
AU Liu, LY
   Wu, YH
   Zuo, ZL
   Chen, ZC
   Wang, XX
   Zhang, WJ
AF Liu, Liangyun
   Wu, Yanhong
   Zuo, Zhengli
   Chen, Zhengchao
   Wang, Xingxing
   Zhang, Wenjuan
TI Monitoring and assessment of barrier lakes formed after the Wenchuan
   earthquake based on multitemporal remote sensing data
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE barrier lakes; airborne remote sensing; Wenchuan earthquake; Longmen
   Mountain fault zone
ID LANDSLIDE DAMS
AB The Wenchuan earthquake on May 12, 2008, triggered many secondary disasters, among which the barrier lakes formed by landslides were extremely serious. We monitored the number and spatial distribution of the barrier lakes in the earthquake-hit area from ADS40 airborne images, which covered areas of about 23,700 km(2). The results showed that there were 51 barrier lakes in the monitored area; among these, 10 were large-scale lakes and 14 were middle-sized lakes. The barrier lakes were distributed along the Longmen Mountain fault from the northeast to southwest direction. We used the dimensionless blockage index (DBI) to assess the potential risk of the barrier lakes. A small DBI value indicated a stable barrier lake, but the lake might have a higher risk with potential accumulative secondary disasters. Our study emphasized the monitoring and analysis of the high-risk Tangjiashan Barrier Lake from the multitemporal ADS40 airborne images acquired on May 16, 19, 23, and 27. We found that the water level at this barrier lake reached 66 m within 15 days after the barrier lake was formed, and the reservoir storage capacity reached 1.2 x 10(8) m(3) with an increase of 8 x 10(6) m(3) of water per day. Therefore, it faced a very real and urgent risk of dam break and overflow, considering the predicted storm rainfall and the continuous aftershocks. According to the analysis results, airborne remote sensing demonstrated the advantages of being intelligent, being able to maneuver, and providing high resolution. These advantages allowed us to quickly monitor and assess the distribution and dynamic changes of the barrier lakes in the earthquake-hit region using multitemporal airborne remote sensing images.
C1 [Liu, Liangyun; Wu, Yanhong; Zuo, Zhengli; Chen, Zhengchao; Wang, Xingxing; Zhang, Wenjuan] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences
RP Liu, LY (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
TC 10
Z9 11
PU SPIE-SOC PHOTOPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
AR 031665
DI 10.1117/1.3153915
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700007
ER

PT J
AU Huang, RQ
   Huang, J
   Ju, NP
   He, CY
   Li, WL
AF Huang, Runqiu
   Huang, Jian
   Ju, Nengpan
   He, Chaoyang
   Li, Weile
TI WebGIS-based information management system for landslides triggered by
   Wenchuan earthquake
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake; Landslide database; WebGIS; Information management
   system
AB A digital landslide database has been created for Sichuan province, where a magnitude 8.0 earthquake at 2:28 p.m. on May 12, 2008, to provide the authorities and scientific communities with a tool for landslide risk assessment, emergency management, land-use planning, development of early warning system and enhancement of public awareness of natural hazards. Landslide data have been obtained from a variety of sources including technical reports and landslide inventory maps, and most of which were based on fieldwork and interpretation of aerial photographs. This paper presents the sources of landslide information, database design and the webGIS-based information management system. The database currently contains spatial information for about 9,000 landslides that were mostly triggered by the earthquake. Slide is the most common type of landslide in the database, but other types including rockfall and debris flow have also been identified. The website is an online GIS, providing access to comprehensive landslide information via the Internet. The development of the website allowed us to define the state of knowledge on landslide processes in Sichuan and to provide a preliminary identification of areas affected by landslides.
C1 [Huang, Runqiu; Huang, Jian; Ju, Nengpan; He, Chaoyang; Li, Weile] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Huang, J (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM huangjian2010@gmail.com
TC 19
Z9 23
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD FEB
PY 2013
VL 65
IS 3
BP 1507
EP 1517
DI 10.1007/s11069-012-0424-x
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000313008500016
ER

PT J
AU Fan, JR
   Li, XZ
   Guo, FF
   Guo, X
AF Fan Jianrong
   Li Xiuzhen
   Guo Fenfen
   Guo Xiang
TI Empirical-statistical models based on remote sensing for estimating the
   volume of landslides induced by the Wenchuan earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE 5.12 Wenchuan earthquake; Landslides; Remote sensing; Volume; Estimation
   model
AB The Wenchuan Ms 8.0 earthquake on May 12, 2008 induced a huge number of landslides. The distribution and volume of the landslides are very important for assessing risks and understanding the landslide - debris flow - barrier lake - bursts flood disaster chain. The number and the area of landslides in a wide region can be easily obtained by remote sensing technique, while the volume is relatively difficult to obtain because it requires some detailed geometric information of slope failure surface and sub-surface. Different empirical models for estimating landslide volume were discussed based on the data of 107 landslides in the earthquake-stricken area. The volume data of these landslides were collected by field survey. Their areas were obtained by interpreting remote sensing images while their apparent friction coefficients and height were extracted from the images unifying DEM (digital elevation model). By analyzing the relationships between the volume and the area, apparent friction coefficients, and the height, two models were established, one for the adaptation of a magnitude scale landslide events in a wide range of region, another for the adaptation in a small scope. The correlation coefficients (R-2) are 0.7977 and 0.8913, respectively. The results estimated by the two models agree well with the measurement data.
C1 [Li Xiuzhen] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS
RP Li, XZ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM lxzljt@sina.com
TC 6
Z9 9
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2011
VL 8
IS 5
BP 711
EP 717
DI 10.1007/s11629-011-2133-4
SC Environmental Sciences & Ecology
UT WOS:000294964500009
ER

PT J
AU Guo, BY
   Xie, TP
   Subrahmanyam, MV
AF Guo, Biyun
   Xie, Taiping
   Subrahmanyam, Mantravadi Venkata
TI Rainfall Runoff in Small Watershed after Wenchuan Earthquake in Western
   China Based on Remote Sensing Technology-A Case Study of Jianping Gully
   Watershed
SO POLISH JOURNAL OF ENVIRONMENTAL STUDIES
DT Article
DE earthquake; rainfall-runoff modeling; remote sensing; WMS HEC-1; curve
   number
AB On May 12, 2008, the Wenchuan earthquake in Sichuan Province, China caused surface damage, frequent landslides and debris flow, which further exacerbated the flash flood hazards. Two giant debris flows in Longxi River basin (located in Wenchuan county) occurred due to heavy rainfall after the earthquake: one was on August 13,2010, and the other on August 18,2010. Reduction and risk assessment of flash floods are the key issues in post-disaster reconstruction. Due to lack of sufficient research data, hydrological prediction models are employed as important and cost-efficient mitigation tools. Wenchuan earthquake area was taken as study site in order to illustrate the influence of geographical environmental changes on micro-mechanism of mountain floods. In this paper, hydrological observation and simulations using remote sensing data and the WMS HEC-1 model are carried out in the typical flood-hitting area (Jianping Gully basin, Dujiangyan City, Sichuan Province, China). The hydrological response of rainfall runoff is discussed. Precipitation over the study area affects the runoff and floods, however precipitation has positive relation with the peak flood discharge. The simulation shows that the peak flood and runoff volume on August 13, 2010 is close to a 10-year maximum. The flash flood was the main cause of the large debris flow on that event. However, peak runoff remains the same regardless of the intensity of rainfall, which may be due to the shape of the river basin and the initial conditions of the model setting. This paper can get better understanding of the forming mechanism, evolution process, distribution and assessment of torrential flood induced by a devastating earthquake.
C1 [Guo, Biyun; Subrahmanyam, Mantravadi Venkata] Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316022, Zhejiang, Peoples R China.
   [Guo, Biyun] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China.
   [Xie, Taiping] Tongling Univ, Rural Econ Inst, Tongling 244000, Anhui, Peoples R China.
C3 Zhejiang Ocean University; Qinghai University; Tongling University
RP Guo, BY (corresponding author), Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316022, Zhejiang, Peoples R China.; Guo, BY (corresponding author), Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China.; Xie, TP (corresponding author), Tongling Univ, Rural Econ Inst, Tongling 244000, Anhui, Peoples R China.
EM biyunguo@163.com; xtp90@163.com
TC 2
Z9 3
PU HARD
PI OLSZTYN 5
PA POST-OFFICE BOX, 10-718 OLSZTYN 5, POLAND
SN 1230-1485
EI 2083-5906
PY 2021
VL 30
IS 3
BP 2543
EP 2552
DI 10.15244/pjoes/129913
SC Environmental Sciences & Ecology
UT WOS:000659522600008
ER

PT J
AU Wang, ZJ
   Zhao, BM
AF Wang, Zijun
   Zhao, Boming
TI Method of accurate-fast magnitude estimation for earthquake early
   warning-Trial and application for the 2008 Wenchuan earthquake
SO SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
DT Article
DE Wenchuan earthquake; Magnitude predication; Revision method; Frequency
   domain
ID CALIFORNIA; AFTERSHOCKS; RADIATION
AB Earthquake early warning (EEW) system is one of the most useful tools to mitigate seismic hazards. Although EEW approaches have already been developed worldwide, the issues of improving the accuracy and applicability were still controversial. On the basis of the existing measurable parameters related to the earthquake magnitude, we proposed a method in terms of the squared integral displacement (ID2) to anticipate the magnitude in real-time for EEW purpose that can be used for large earthquakes. With the main-shock and aftershocks of the 2008 M-S 8.0 Wenchuan earthquake, we investigated the regression relationships between the proposed ID2 and earthquake magnitude, based on which the magnitude predication formula was derived. Then the predicated accuracy from ID2 was compared with that from tau(c) and P-d. By comparing the differences between the estimated and reported magnitudes, the proposed ID2 method was of the highest accuracy among the investigated 3 parameters. Next we analysed the ground motion characteristics in the frequency domain and established the correlations between the Fourier amplitude and spectral intensity of the initial P wave with the magnitude estimation differences, based on which a revision method of reducing such differences was put forward and the saturation effects of predicting large magnitudes were well mitigated simultaneously.
C1 [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Minist Educ, Key Lab Urban Underground Engn, Beijing 100044, Peoples R China.
   [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Sch Civil Engn, 3 Shangyuancun, Beijing, Peoples R China.
C3 Beijing Jiaotong University; Beijing Jiaotong University
RP Zhao, BM (corresponding author), Beijing Jiaotong Univ, Minist Educ, Key Lab Urban Underground Engn, Beijing 100044, Peoples R China.
EM zijunwang@bjtu.edu.cn; bmzhao@bjtu.edu.cn
TC 11
Z9 13
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0267-7261
EI 1879-341X
PD JUN
PY 2018
VL 109
BP 227
EP 234
DI 10.1016/j.soildyn.2018.03.006
SC Engineering; Geology
UT WOS:000430784200020
ER

PT J
AU Qin, K
   Wu, LX
   Zheng, S
   Bai, Y
   Lv, X
AF Qin, K.
   Wu, L. X.
   Zheng, S.
   Bai, Y.
   Lv, X.
TI Is there an abnormal enhancement of atmospheric aerosol before the 2008
   Wenchuan earthquake?
SO ADVANCES IN SPACE RESEARCH
DT Article
DE Wenchuan earthquake; Remote sensing; MODIS; Aerosol optical depth;
   Anomaly
ID IONOSPHERIC ANOMALIES; OPTICAL DEPTH; REGION PRIOR; RETRIEVAL; CHINA;
   FIELD; LAND
AB There are extensive reports of ionospheric disturbances before the great 2008 Wenchuan earthquake, which are possibly explained by seismogenic electric field hypotheses linked with the aerosols injected in atmosphere. This paper attempts to investigate the possible change of atmospheric aerosol optical depth (AOD) associated with this earthquake by using MODIS data from both Terra and Aqua satellites. The result shows a clear enhancement of AOD along the Longmenshan faults 7 days before the quake, which is 1 day and 4 days earlier than the reported negative and positive ionospheric disturbances, respectively, and is 1 day earlier than or quasi-synchronism with other reported atmospheric anomalies including air temperature, outgoing longwave radiation and relative humidity. Particularly, the spatial distribution of AOD enhancement is very local and it is correlated well with the active faults and surface ruptures. We suggest that this unique enhancement could be associated with the Lithosphere-Atmosphere-Ionosphere coupling process during the preparation of the Wenchuan earthquake. (C) 2014 COSPAR. Published by Elsevier Ltd. All rights reserved.
C1 [Qin, K.; Wu, L. X.; Bai, Y.; Lv, X.] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China.
   [Wu, L. X.] China Univ Min & Technol, IoT Percept Mine Res Ctr, Xuzhou 221116, Peoples R China.
   [Zheng, S.] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
C3 China University of Mining & Technology; China University of Mining &
   Technology; Beijing Normal University
RP Wu, LX (corresponding author), China Univ Min & Technol, IoT Percept Mine Res Ctr, Xuzhou 221116, Peoples R China.
EM qinkai20071014@163.com; awulixin@263.net; sonyzhengshuo@163.com;
   baiyang_cumt@163.com; 445674385@qq.com
TC 28
Z9 29
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0273-1177
EI 1879-1948
PD SEP 15
PY 2014
VL 54
IS 6
BP 1029
EP 1034
DI 10.1016/j.asr.2014.04.025
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:000341340300014
ER

PT J
AU Zhang, YY
   Huang, C
   Huang, C
   Li, MY
AF Zhang, Youyi
   Huang, Chen
   Huang, Cheng
   Li, Mingyang
TI Spatio-temporal evolution characteristics of typical debris flow sources
   after an earthquake
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Spatio-temporal evolution; ArcGIS; Remote sensing
   interpretation
ID 2008 WENCHUAN EARTHQUAKE; JIUZHAIGOU EARTHQUAKE; LANDSLIDE; CHINA; AREA
AB In the 10 years since the Wenchuan earthquake on May 12, 2008, debris flow disasters have occurred many times in the areas affected by the earthquake. These debris flows are widely distributed, have strong explosive force, and pose a significant hazard. In this work, high-resolution remote sensing image interpretation of 43 gullies along the Duwen Highway over six periods was combined with field investigation and ArcGIS analysis in order to discuss spatio-temporal evolution and distribution characteristics of the source area. The main results are (i) The number, area and volume of landslides decreased rapidly in 5 years after the earthquake, and gradually slowed down after 5 years due to soil consolidation; (ii) A landslide evolution model was proposed to predict that the source of the post-earthquake landslide will return to the pre-earthquake level around 2036; and (iii) The catchment area was positively correlated with source area and attenuation rate, but source area density was negatively correlated. (iv) After the earthquake, the centroid point of the landslide source decreased from year to year. The research results reveal the spatial-temporal evolution and distribution characteristics of landslide source after earthquake, providing reference for the staging and zoning prevention of debris flow landslide in earthquake-prone regions.
C1 [Zhang, Youyi; Huang, Chen; Huang, Cheng; Li, Mingyang] Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Sichuan, Peoples R China.
   [Huang, Cheng] River Protect Ctr Guanghan Water Resources Bur, Deyang 618300, Peoples R China.
C3 Southwest University of Science & Technology - China
RP Zhang, YY (corresponding author), Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Sichuan, Peoples R China.
EM youyzh@126.com; hc1203474879@163.com; 670213238@qq.com;
   1009366470@qq.com
TC 9
Z9 9
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD SEP
PY 2022
VL 19
IS 9
BP 2263
EP 2275
DI 10.1007/s10346-022-01883-x
EA APR 2022
SC Engineering; Geology
UT WOS:000786491700001
ER

PT J
AU Dai, LX
   Fan, XM
   Wang, X
   Fang, CY
   Zou, CB
   Tang, XC
   Wei, ZL
   Xia, MY
   Wang, D
   Xu, Q
AF Dai, Lanxin
   Fan, Xuanmei
   Wang, Xin
   Fang, Chengyong
   Zou, Chengbin
   Tang, Xiaochuan
   Wei, Zhenlei
   Xia, Mingyao
   Wang, Dan
   Xu, Qiang
TI Coseismic landslides triggered by the 2022 Luding Ms6.8 earthquake,
   China
SO LANDSLIDES
DT Article
DE Coseismic landslides; Luding earthquake; Prediction; Remote sensing;
   Interpretation; Spatial distribution
ID SPATIAL-DISTRIBUTION; WENCHUAN EARTHQUAKE; XIANSHUIHE FAULT;
   SUSCEPTIBILITY; HAZARD; PREDICTION; FOREST; MODEL
AB On September 5, 2022, an Ms6.8 earthquake struck Luding County, Sichuan Province, China. Through creating a coseismic landslide prediction model, we obtained the spatial distribution of the triggered geological hazards immediately after the earthquake. Through collecting all available multi-source optical remote sensing images of the earthquake-affected area via UAV and satellite platforms, the exact information of coseismic landslide was achieved by pattern recognition and visual inspection. According to the current results, the Luding earthquake triggered 5336 landslides with a total area of 28.53km(2). The spatial distribution of the coseismic landslides is correlated statistically to various seismic, terrain, and geological factors, to evaluate their susceptibility at regional scale and to identify the most typical characteristics of these failures. The results reveal that the coseismic landslides mainly occurred on the sides of the Xianshuihe fault (within 1.2 km) and Dadu River (within 0.5 km) in striped patterns. They are concentrated in the regions with an elevation range of 1000-1800 m, a slope range of 25-55 degrees, and lithologies of acid plutonic rocks, mixed sedimentary rocks, and siliciclastic sedimentary rocks. Besides, the coseismic landslides of the Luding earthquake are smaller in size and shallower than those triggered by the 2008 Wenchuan earthquake and the 2017 Jiuzhaigou earthquake. Rapidly achieving the spatial locations and distribution patterns of the coseismic landslides enables to provide effective support and guidance to emergency rescue, risk mitigation, and reconstruction planning.
C1 [Dai, Lanxin; Fan, Xuanmei; Wang, Xin; Fang, Chengyong; Zou, Chengbin; Tang, Xiaochuan; Wei, Zhenlei; Xia, Mingyao; Wang, Dan; Xu, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM fxm_cdut@qq.com; wangxin@cdut.edu.cn
TC 49
Z9 56
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JUN
PY 2023
VL 20
IS 6
BP 1277
EP 1292
DI 10.1007/s10346-023-02061-3
EA APR 2023
SC Engineering; Geology
UT WOS:000969759900002
ER

PT J
AU Wang, X
   Fan, XM
   Fang, CY
   Dai, LX
   Zhang, W
   Zheng, HR
   Xu, Q
AF Wang, Xin
   Fan, Xuanmei
   Fang, Chengyong
   Dai, Lanxin
   Zhang, Wei
   Zheng, Hongrui
   Xu, Qiang
TI Long-Term Landslide Evolution and Restoration After the Wenchuan
   Earthquake Revealed by Time-Series Remote Sensing Images
SO GEOPHYSICAL RESEARCH LETTERS
DT Article
DE Wenchuan earthquake; continuous remote sensing monitoring; post-seismic
   landslide evolution; land cover disturbance; vegetation restoration
ID VEGETATION RECOVERY; HAZARD; CLASSIFICATION; SYSTEM; RATES
AB A powerful earthquake, particularly in mountainous regions, has the ability to trigger an immense number of landslides, resulting in severe damages. However, effectively assessing their recoveries in the years following the mainshocks has not yet been attempted due to the lack of continuously updated landslide inventories. Therefore, we proposed a novel detection framework utilizing time-series Landsat images from 2000 to 2021, which enabled us to achieve a long-term landslide inventory in the seismic zone for the first time. The response patterns of landslide development under different conditions were explored in detail. The restoration models were quantitatively established, revealing that the recoveries of post-earthquake landslide activity and vital environmental indicators require a range from similar to 5.29 to similar to 25.00 years. This pioneering research is highly beneficial in comprehending the impact of earthquake-induced hazards on short-term land surface damage and long-term ecological equilibrium.
   The Wenchuan earthquake triggered tens of thousands of landslides and caused severe surface damages, leading to adverse impacts on the local environment in the following period. Therefore, we implemented an approach that combines change detection techniques with long-term remote sensing images to track the landslide activities from 2000 to 2021. Consequently, continuous landslide maps have been produced, and the post-earthquake landslide activities were analyzed under different conditions considering various factors. We also explored the restorations for the undisturbed landslides after the earthquake using important ecological indicators. The results suggest that the recovery of landslide activity and surface evapotranspiration was rapid. However, the regrowth and succession of damaged plants required a longer time. Moreover, it would take decades to fully restore the vegetation ecological function, which shatters our original impression on the persistence of post-earthquake landslide impacts.
   The inventories with over 21 years of continuous landslide activities prior to and following the Wenchuan earthquake were compiledApart from acknowledged attenuation, diverse environment exposed various evolutionary patterns of post-earthquake landslide activityDamaged plant succession and ecological function restoration underwent lengthier durations than post-seismic landslide stabilization
C1 [Wang, Xin; Fan, Xuanmei; Fang, Chengyong; Dai, Lanxin; Xu, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu, Peoples R China.
   [Zhang, Wei] Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing, Peoples R China.
   [Zheng, Hongrui] Southwest Petr Univ, Sch Geosci & Technol, Chengdu, Peoples R China.
C3 Chengdu University of Technology; Nanjing Hydraulic Research Institute;
   Southwest Petroleum University
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu, Peoples R China.
EM fxm_cdut@qq.com
TC 21
Z9 22
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
PD JAN 28
PY 2024
VL 51
IS 2
AR e2023GL106422
DI 10.1029/2023GL106422
SC Geology
UT WOS:001149634300001
ER

PT J
AU Lin, JW
AF Lin, Jyh-Woei
TI An adaptive Butterworth spectral-based graph neural network for
   detecting ionospheric total electron content precursor prior to the
   Wenchuan earthquake on 12 May 2008
SO GEOCARTO INTERNATIONAL
DT Article
DE Global ionosphere maps; total electron content precursors; GIM-gis;
   spectral-based graph neural network; adaptive Butterworth spectral-based
   graph neural network; Wenchuan earthquake
AB In this study, Global Ionosphere Maps (GIMs) were used to detect all total electron content (TEC) precursors prior to the M-w 7.9 Wenchuan earthquake at 06:28:01 (UTC) on 12 May 2008. The GIMs were converted into GIM-gis between 00.00 (UTC) on 01 December 2004 and 31 March 2005 and were used to build the Spectral-Based Graph Neural Network (SB-GNN) and Adaptive Butterworth Spectral-Based Graph Neural Network (ABSB-GNN) models. A blurred TEC precursor was detected at 2:20 (UTC) on 9 May 2008, i.e. 3 days prior to the Wenchuan earthquake, using the ABSB-GNN model in place of the SB-GNN model, which improved predictive ability. After evaluating the variance in the learning process, the two models were verified for stability with better training and predicted accuracies in the ABSB-GNN model, which might be the reason that a blurred TEC precursor was detectable using the ABSB-GNN model.
C1 [Lin, Jyh-Woei] Nanjing Univ Informat Sci & Technol, Binjiang Coll, Sch Elect Informat Engn, Wuxi, Jiangsu, Peoples R China.
   [Lin, Jyh-Woei] Southern Taiwan Univ Sci & Technol, Dept Elect Engn, Tainan, Taiwan.
C3 Wuxi University; Southern Taiwan University of Science & Technology
RP Lin, JW (corresponding author), Nanjing Univ Informat Sci & Technol, Binjiang Coll, Sch Elect Informat Engn, Wuxi, Jiangsu, Peoples R China.; Lin, JW (corresponding author), Southern Taiwan Univ Sci & Technol, Dept Elect Engn, Tainan, Taiwan.
EM pgjwl1966@gmail.com
TC 3
Z9 3
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1010-6049
EI 1752-0762
PD DEC 13
PY 2022
VL 37
IS 26
BP 14292
EP 14308
DI 10.1080/10106049.2022.2087752
EA JUN 2022
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000812656900001
ER

PT J
AU Fang, RX
   Shi, C
   Wang, GX
   Liu, JN
AF Fang RongXin
   Shi Chuang
   Wang GuangXing
   Liu JingNan
TI Epicenter and magnitude of large earthquake determined from high-rate
   GPS observations: A case study of the 2008 M8.0 Wenchuan
   earthquake
SO SCIENCE CHINA-EARTH SCIENCES
DT Article
DE high-rate GPS; Wenchuan earthquake; epicenter; magnitude
ID MOTIONS; SYSTEM
AB For earthquake and tsunami early warning and emergency response, the earthquake epicenter and magnitude should be determined rapidly and correctly. Using high-rate GPS observations, we can readily obtain precise and high resolution displacement time series and the seismic waveforms during the earthquake. In this paper, a new algorithm is proposed for estimating the earthquake epicenter and magnitude with the seismic waveforms derived from high-rate GPS data during the earthquake. A case study of the 2008 Wenchuan earthquake is conducted from 1 Hz GPS data and the epicenter and magnitude are determined. Compared with the results issued by the China Seismological Bureau, the estimation error of the epicenter and the magnitude is about 12 km and 0.1 magnitude unit, respectively. It has shown that high-rate GPS could be a new tool feasible for estimating the earthquake epicenter and magnitude, independent of or combined with seismometers.
C1 [Fang RongXin; Shi Chuang; Wang GuangXing; Liu JingNan] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China.
C3 Wuhan University
RP Shi, C (corresponding author), Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China.
EM shi@whu.edu.cn
TC 13
Z9 17
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1674-7313
EI 1869-1897
PD JUL
PY 2014
VL 57
IS 7
BP 1645
EP 1652
DI 10.1007/s11430-013-4803-2
SC Geology
UT WOS:000338269500019
ER

PT J
AU Zhong, C
   Liu, Y
   Gao, P
   Chen, WL
   Li, H
   Hou, Y
   Nuremanguli, T
   Ma, HJ
AF Zhong, Cheng
   Liu, Yue
   Gao, Peng
   Chen, Wenlong
   Li, Hui
   Hou, Yong
   Nuremanguli, Tuohuti
   Ma, Haijian
TI Landslide mapping with remote sensing: challenges and opportunities
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Review
ID TIME-SERIES; LIDAR DATA; TRIGGERED LANDSLIDES; WENCHUAN EARTHQUAKE;
   INVENTORY MAPS; IMAGE-ANALYSIS; SUSCEPTIBILITY; SATELLITE; HAZARD;
   IDENTIFICATION
AB Landslide mapping is the primary step for landslide investigation and prevention. At present, both the accuracy and the degree of automation of landslide mapping with remote sensing (LMRS) are still lower than those of general remote sensing classification. In order to improve the performance, previous attempts have been made to develop new features, classifiers, and rules, whereas few studies have investigated the in-depth causes and the corresponding solutions. In this paper, after reviewing the related literature, some of the fundamental difficulties hindering the improvement of LMRS are disclosed and discussed. Firstly, landslides do not have distinguishable spectral, spatial, or temporal characteristics, as they may actually be covered by other land covers. Secondly, the surface features of a landslide can vary greatly, affected by the different geological factors, geomorphological factors, hydrological factors, weather conditions, and other factors. Thirdly, the differences in the surface features are often remarkable and nonnegligible, and thus it is difficult to identify a landslide with only a few simple criteria. Finally, some solutions to the above difficulties are suggested. It is expected that the accuracy and applicability of LMRS could be greatly improved, by exploiting big data, utilizing the deep learning technique, and modelling the surface spatial structure of the landslide.
C1 [Zhong, Cheng; Liu, Yue; Chen, Wenlong; Hou, Yong] China Univ Geosci, Minist Educ, Three Gorges Res Ctr Geohazard, Wuhan, Hubei, Peoples R China.
   [Gao, Peng] Univ South Carolina, Dept Geog, Columbia, SC 29208 USA.
   [Li, Hui; Nuremanguli, Tuohuti] China Univ Geosci, Sch Earth Sci, Wuhan 430074, Hubei, Peoples R China.
   [Ma, Haijian] China Earthquake Adm, Dev Res Ctr, Beijing, Peoples R China.
C3 China University of Geosciences; University of South Carolina System;
   University of South Carolina Columbia; China University of Geosciences;
   China Earthquake Administration
RP Li, H (corresponding author), China Univ Geosci, Sch Earth Sci, Wuhan 430074, Hubei, Peoples R China.
EM rslihui@cug.edu.cn
TC 155
Z9 170
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PD FEB 16
PY 2020
VL 41
IS 4
BP 1555
EP 1581
DI 10.1080/01431161.2019.1672904
EA OCT 2019
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000490684300001
ER

PT J
AU Zhang, HZ
   Chi, TH
   Fan, JR
   Hu, KH
   Peng, L
AF Zhang, Huaizhen
   Chi, Tianhe
   Fan, Jianrong
   Hu, Kaiheng
   Peng, Ling
TI Spatial Analysis of Wenchuan Earthquake-Damaged Vegetation in the
   Mountainous Basins and Its Applications
SO REMOTE SENSING
DT Article
ID LANDSLIDE SUSCEPTIBILITY; GIS; RECOVERY; HAZARDS
AB The 2008 Wenchuan Earthquake induced landslides that destroyed large swaths of mountain vegetation. Presently, the damaged vegetation areas are exhibiting various stages of recovery depending on environments. A spatial analysis of earthquake-damaged and recovered vegetation can provide useful information for understanding landslide processes. The mountainous watersheds of the Minjiang River Upstream, near Yinxiu Town (one of the highest seismic intensity zones during the Wenchuan earthquake) were selected. A DSAL (digital elevation model (DEM), slope, aspect and lithology) spatial zonation method was established to detect natural features of the vegetation survival environments, and damaged and recovered vegetation areas were extracted using the normalized difference vegetation index (NDVI) changes form multi-temporal (2001-2014) Landsat Thematic Mapper/Enhanced Thematic Mapper/Operational Land Imager (TM/ETM/OLI) images. Statistical results show that the vegetation growth was mainly controlled by its survival environments, and vegetation has coupling relations with slope stability. Then, the slope stability model was developed through multivariate analysis of earthquake-damaged vegetation and its controlling factors (i.e., topographic environments and material properties). Application to the Mianyuan River and Subao River basins validated the proposed model, showing that monitoring the vegetation (using the remote sensing images) can be used to assess the slope stability, and model results show what vegetative conditions with its survival environments are susceptible to landslide processes, although the predicted values may be higher than the actual values in the most mountainous basins. Our modeling approach may also be valuable for use in other regions prone to landslide hazards.
C1 [Zhang, Huaizhen; Chi, Tianhe; Peng, Ling] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
   [Zhang, Huaizhen; Fan, Jianrong; Hu, Kaiheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Zhang, Huaizhen] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Chi, TH (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
EM zhanghz@radi.ac.cn; chith@radi.ac.cn; fjrong@imde.ac.cn;
   khhu@imde.ac.cn; PL20158@126.com
TC 18
Z9 20
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAY
PY 2015
VL 7
IS 5
BP 5785
EP 5804
DI 10.3390/rs70505785
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000357596900002
ER

PT J
AU Chang, M
   Dou, XY
   Luo, CP
   Su, YC
AF Chang, Ming
   Dou, Xiangyang
   Luo, Chaopeng
   Su, Yongchao
TI Multi-scenario simulations for quantitative assessment of debris flow
   chain hazards in southwestern China
SO CATENA
DT Article
DE Debris flow; Chain hazard; Multiple scenarios simulation; Blocking
   river; Quantitative assessment
ID WENCHUAN EARTHQUAKE; LANDSLIDES; RIVER; PREDICTION; PROVINCE; CHANNEL;
   SICHUAN; FLOODS; AREA; RISK
AB Following the catastrophic Wenchuan earthquake in 2008, debris flows have repeatedly obstructed rivers across China's southwestern mountainous regions, triggering numerous flood disasters and subsequent cascading effects. Ethnic minority villages in these areas are predominantly situated within alpine canyon zones highly susceptible to seismic activity, rendering them exceptionally vulnerable to flood disaster chains initiated by debris flows. This study focuses on Luobajie Gully in the southwest mountainous region as a case study to elucidate the chain hazard responses associated with debris flows and to highlight the critical importance of such research. Comprehensive field investigations provided essential data-including sediment depth, flow density, and velocity-for numerical simulations aimed at assessing potential hazards. Simulation results demonstrate that only debris flows triggered by a 100-year rainstorm event cause channel blockages in Luobajie Gully, leading to significant rises in river water levels due to dammed floodwaters. The resulting flooding reaches maximum water depths within the inundation zone of the accumulation fan, exerting the most substantial impact on adjacent industrial areas. A quantitative risk assessment of 100-year debris flow events was carried out to evaluate the potential hazards. This study analyzes in detail the movement process and potential hazards of the Luobajie Gully debris flow through detailed remote sensing image analysis, field investigation and numerical simulation, and emphasizes the necessity of taking effective preventive and control measures to reduce the associated risks. Since the Heishui River traverses the Wenchuan earthquake area, there are still several potential debris flow gullies, and potential debris flows may pose a non-negligible threat to the entire earthquake area. The model and theory presented in this paper can be effectively applied to the simulation and early warning of other potential debris flows in the earthquake area under similar circumstances, thus facilitating their wide application in flood risk management.
C1 [Chang, Ming; Dou, Xiangyang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Dou, Xiangyang] Univ Twente, Fac Geoinformat Sci & Earth Observat, NL-7522 NH Enschede, Netherlands.
   [Luo, Chaopeng] Guiyang Survey Design & Res Inst Chinese Elect Pow, Guiyang 550081, Peoples R China.
   [Su, Yongchao] China Inst Geoenvironm Monitoring, Beijing 100081, Peoples R China.
   [Su, Yongchao] MNR, Observat & Res Stn Geol Hazard Yunnan Ailao Mt, Xinping 653400, Peoples R China.
C3 Chengdu University of Technology; University of Twente
RP Dou, XY (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM douxyz1994@gmail.com
TC 1
Z9 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD JUN 1
PY 2025
VL 253
AR 108900
DI 10.1016/j.catena.2025.108900
EA MAR 2025
SC Geology; Agriculture; Water Resources
UT WOS:001443998300001
ER

PT J
AU Shafique, M
   van der Meijde, M
   Khan, MA
AF Shafique, Muhammad
   van der Meijde, Mark
   Khan, M. Asif
TI A review of the 2005 Kashmir earthquake-induced landslides; from a
   remote sensing prospective
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Review
DE Landslide; Remote sensing; 2005 Kashmir earthquake; Topographic
   attributes; Geology
ID SPACEBORNE THERMAL EMISSION; BALA ROCK AVALANCHE; CHI-CHI-EARTHQUAKE;
   PAKISTAN EARTHQUAKE; WENCHUAN EARTHQUAKE; TOPOGRAPHIC AMPLIFICATION;
   GROUND MOTIONS; PACOIMA-CANYON; HIMALAYAS; CALIFORNIA
AB The 8th October 2005 Kashmir earthquake, in northern Pakistan has triggered thousands of landslides, which was the second major factor in the destruction of the build-up environment, after earthquake induced ground shaking. Subsequent to the earthquake, several researchers from home and abroad applied a variety of remote sensing techniques, supported with field observations, to develop inventories of the earthquake-triggered landslides, analyzed their spatial distribution and subsequently developed landslide-susceptibility maps. Earthquake causative fault rupture, geology, anthropogenic activities and remote sensing derived topographic attributes were observed to have major influence on the spatial distribution of landslides. These were subsequently used to develop a landslide susceptibility map, thereby demarcating the areas prone to landsliding. Temporal studies monitoring the earthquake induced landslides shows that the earthquake-induced landslides are stabilized, contrary to earlier belief, directly after the earthquake. The biggest landslide induced dam, as a result of the massive Hattian Bala landslide, is still posing a threat to the surrounding communities. It is observed that remote sensing data is effectively and efficiently used to assess the landslides triggered by the Kashmir earthquake, however, there is still a need of more research to understand the mechanism of intensity and distribution of landslides; and their continuous monitoring using remote sensing data at a regional scale. This paper, provides an overview of remote sensing and GIS applications, for the Kashmir-earthquake triggered landslides, derived outputs and discusses the lessons learnt, advantages, limitations and recommendations for future research. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Shafique, Muhammad; Khan, M. Asif] Univ Peshawar, Natl Ctr Excellence Geol, Peshawar, Pakistan.
   [van der Meijde, Mark] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands.
   [Khan, M. Asif] Karakorum Int Univ, Gilgit, Pakistan.
C3 University of Peshawar; University of Twente
RP Shafique, M (corresponding author), Univ Peshawar, Natl Ctr Excellence Geol, Peshawar, Pakistan.
EM shafique08@yahoo.com
TC 83
Z9 100
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR 15
PY 2016
VL 118
BP 68
EP 80
DI 10.1016/j.jseaes.2016.01.002
SC Geology
UT WOS:000370087000005
ER

PT J
AU Zhuang, JQ
   Cui, P
   Ge, YG
   He, YP
   Liu, YH
   Guo, XJ
AF Zhuang, Jian-Qi
   Cui, Peng
   Ge, Yong-Gang
   He, Yi-Ping
   Liu, Ying-Hui
   Guo, Xiao-Jun
TI Probability assessment of river blocking by debris flow associated with
   the Wenchuan Earthquake
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
AB This paper assesses the probability of the main stream in the Dujiangyan-Wenchuan reach of the Minjiang River becoming blocked by debris flows in response to the Wenchuan Earthquake of 12 May 2008, on the basis of analyses of remote sensing data and ground investigations. Background information of debris flow gullies was developed from field investigations and high-resolution remote sensing image interpretation, and was used to estimate the maximum discharge per unit width by means of the revised model of debris flow magnitude according to the situation after the Earthquake. Based on improved discrimination equations of river blocking induced by debris flow, 29 debris flow gullies were evaluated and classified as four probability levels: extreme high, high, moderate and low. The results show that most of the debris flow gullies were at or over moderate hazard level, accounting for 72.4% of the total area. The present results provide a scientific basis for the prevention, elusion and mitigation of debris flow hazards and will contribute to the reconstruction of an earthquake prone area.
C1 [Zhuang, Jian-Qi; Cui, Peng; Ge, Yong-Gang; He, Yi-Ping; Guo, Xiao-Jun] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Zhuang, Jian-Qi; Cui, Peng; Ge, Yong-Gang; He, Yi-Ping; Guo, Xiao-Jun] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Zhuang, Jian-Qi; Guo, Xiao-Jun] Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China.
   [Liu, Ying-Hui] Lanzhou Univ, Lanzhou 730000, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; Chinese Academy of
   Sciences; University of Chinese Academy of Sciences, CAS; Lanzhou
   University
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM pengcui@imde.ac.cn
TC 24
Z9 26
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2010
VL 31
IS 13
BP 3465
EP 3478
AR PII 924662979
DI 10.1080/01431161003730873
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000010
ER

PT J
AU Peng, CY
   Yang, JS
   Xue, B
   Zhu, XY
   Chen, Y
AF Peng, Chaoyong
   Yang, Jiansi
   Xue, Bing
   Zhu, Xiaoyi
   Chen, Yang
TI Exploring the feasibility of earthquake early warning using records of
   the 2008 Wenchuan earthquake and its aftershocks
SO SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
DT Article
DE Earthquake early warning; Magnitude; Seismic hazard mitigation; Average
   period; Peak displacement
ID MAGNITUDE; TAIWAN
AB Earthquake early warning system (EEWS) is one of the effective ways to mitigate earthquake damage and can provide few seconds to tens of seconds of advanced warning time of impending ground motions, allowing for mitigation measures to be taken in the short term. After the devastating Ms8.0 Wenchuan earthquake, hundreds of M4-6 earthquakes occurred with depth range of 2-24 km. We explore a practical approach to earthquake early warning in Wenchuan area by determining a ground-motion period parameter tau(C), and a high-pass filtered vertical displacement amplitude parameter P-d from the initial 3 s of the P waveforms of these aftershocks with M >= 4.0. The empirical relationships both between and M, and between Pd and peak ground velocity PGV for the Wenchuan area are presented. The tau(c), result shows that it is systematically greater for slow earthquakes, leading to a possible false alarm. The moment rate function is used to handle the fact that the Pd parameter alone miss the M=8.0 mainshock. These two relationships can be used to detect the occurrence of a major earthquake and provide onsite warning in the area around the station where onset of strong ground motions is expected within seconds after the arrival of the P wave. The robustness of onsite early warning can be increased by using multistation data when the station density is high or by combing tau(c), and Pd as a single indicator. (C) 2013 Elsevier Ltd. All rights reserved.
C1 [Peng, Chaoyong; Yang, Jiansi] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
   [Xue, Bing; Zhu, Xiaoyi; Chen, Yang] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA; China
   Earthquake Administration
RP Peng, CY (corresponding author), China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
EM pcy@geodevice.cn
TC 17
Z9 26
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0267-7261
EI 1879-341X
PD FEB
PY 2014
VL 57
BP 86
EP 93
DI 10.1016/j.soildyn.2013.11.005
SC Engineering; Geology
UT WOS:000329770000009
ER

PT J
AU Dell'Acqua, F
   Gamba, P
AF Dell'Acqua, Fabio
   Gamba, Paolo
TI Remote Sensing and Earthquake Damage Assessment: Experiences, Limits,
   and Perspectives
SO PROCEEDINGS OF THE IEEE
DT Article
DE Damage assessment; data fusion; urban areas
ID WENCHUAN EARTHQUAKE; 2003 BAM; SAR; DISASTER; IMAGES
AB In this paper, a survey of the techniques and data sets used to evaluate earthquake damages using remote sensing data is presented. After a few preliminary definitions about earthquake damage, their evaluation scale, and the difference between identification of damage "extent" and identification of damage "level," the advantages and limits of different remote sensing data sets are presented. Furthermore, a survey of proposed algorithms for data interpretation and earthquake damage extraction is presented, and two examples of these algorithms and their results are discussed. According to the outcome of this survey, some open issues are finally presented and discussed, identifying possible research lines as well as working solutions.
C1 [Dell'Acqua, Fabio; Gamba, Paolo] Univ Pavia, Dipartimento Elettron, I-27100 Pavia, Italy.
C3 University of Pavia
RP Dell'Acqua, F (corresponding author), Univ Pavia, Dipartimento Elettron, Via Palestro 3, I-27100 Pavia, Italy.
EM paolo.gamba@unipv.it
TC 153
Z9 164
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 0018-9219
EI 1558-2256
PD OCT
PY 2012
VL 100
IS 10
SI SI
BP 2876
EP 2890
DI 10.1109/JPROC.2012.2196404
SC Engineering
UT WOS:000308996200009
ER

PT J
AU Zeng, HC
   Lu, T
   Jenkins, H
   Negrón-Juárez, RI
   Xu, JC
AF Zeng, Hongcheng
   Lu, Tao
   Jenkins, Hillary
   Negron-Juarez, Robinson I.
   Xu, Jiceng
TI Assessing Earthquake-Induced Tree Mortality in Temperate Forest
   Ecosystems: A Case Study from Wenchuan, China
SO REMOTE SENSING
DT Article
DE biomass carbon loss; synthetic approach; remote sensing; earthquake;
   forest mortality
ID VEGETATION RECOVERY; LANDSLIDES; BIOMASS; DAMAGE; DISTURBANCE; LANDSAT;
   MODIS
AB Earthquakes can produce significant tree mortality, and consequently affect regional carbon dynamics. Unfortunately, detailed studies quantifying the influence of earthquake on forest mortality are currently rare. The committed forest biomass carbon loss associated with the 2008 Wenchuan earthquake in China is assessed by a synthetic approach in this study that integrated field investigation, remote sensing analysis, empirical models and Monte Carlo simulation. The newly developed approach significantly improved the forest disturbance evaluation by quantitatively defining the earthquake impact boundary and detailed field survey to validate the mortality models. Based on our approach, a total biomass carbon of 10.9 Tg center dot C was lost in Wenchuan earthquake, which offset 0.23% of the living biomass carbon stock in Chinese forests. Tree mortality was highly clustered at epicenter, and declined rapidly with distance away from the fault zone. It is suggested that earthquakes represent a significant driver to forest carbon dynamics, and the earthquake-induced biomass carbon loss should be included in estimating forest carbon budgets.
C1 [Zeng, Hongcheng; Lu, Tao; Xu, Jiceng] Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.
   [Zeng, Hongcheng; Lu, Tao; Xu, Jiceng] Chinese Acad Sci, Key Lab Mt Ecol Restorat & Bioresource Utilizat &, Key Lab Sichuan Prov, Chengdu 610041, Peoples R China.
   [Zeng, Hongcheng] Univ Toronto, Fac Forestry, Toronto, ON M5S 3B3, Canada.
   [Jenkins, Hillary] Univ Redlands, Dept Environm Studies, Redlands, CA 92373 USA.
   [Negron-Juarez, Robinson I.] Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Div Earth Sci, Berkeley, CA 94720 USA.
C3 Chinese Academy of Sciences; Chengdu Institute of Biology, CAS; Chinese
   Academy of Sciences; University of Toronto; University Redlands;
   University of California System; University of California Berkeley;
   United States Department of Energy (DOE); Lawrence Berkeley National
   Laboratory
RP Lu, T (corresponding author), Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.; Lu, T (corresponding author), Chinese Acad Sci, Key Lab Mt Ecol Restorat & Bioresource Utilizat &, Key Lab Sichuan Prov, Chengdu 610041, Peoples R China.
EM zenghch@gmail.com; lutao@cib.ac.cn; hillarysandfordjenkins@gmail.com;
   robinson.inj@lbl.gov; Jicengxu@gmail.com
TC 6
Z9 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAR
PY 2016
VL 8
IS 3
AR 252
DI 10.3390/rs8030252
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000373627400033
ER

PT J
AU Sun, J
   Vu, TT
AF Sun, Jing
   Tuong Thuy Vu
TI Distributed and hierarchical object-based image analysis for damage
   assessment: a case study of 2008 Wenchuan earthquake, China
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Seismic zones; landslides; geomorphology; remote sensing; earthquake
ID AUTOMATIC DETECTION; SATELLITE IMAGES; CLASSIFICATION; EXTRACTION
AB Object-based image analysis (OBIA) is an emerging technique for analyzing remote sensing image based on object properties including spectral, geometry, contextual and texture information. To reduce the computational cost of this comprehensive OBIA and make it more feasible in disaster responses, we developed a unique approach - distributed and hierarchical OBIA approach for damage assessment. This study demonstrated a completed classification of YingXiu town, heavily devastated by the 2008 Wenchuan earthquake using Quickbrid imagery. Two distinctive areas, mountainous areas and urban, were analyzed separately. This approach does not require substantial processing power and large amounts of available memory because image of a large disaster-affected area was split in smaller pieces. Two or more computers could be used in parallel to process and analyze these sub-images based on different requirements. The approach can be applicable in other cases whereas the established set of rules can be adopted in similar study areas. More experiments will be carried out in future studies to prove its feasibility.
C1 [Sun, Jing] Royal Inst Technol, Geoinformat, Stockholm, Sweden.
   [Tuong Thuy Vu] Univ Nottingham, Sch Geog, OSGEO Res Lab, Malaysia Campus, Semenyih, Malaysia.
C3 Royal Institute of Technology; University of Nottingham Malaysia
RP Sun, J (corresponding author), Royal Inst Technol, Geoinformat, Stockholm, Sweden.; Vu, TT (corresponding author), Univ Nottingham, Sch Geog, OSGEO Res Lab, Malaysia Campus, Semenyih, Malaysia.
EM jingsun@kth.se; tuongthuy.vu@nottingham.edu.my
TC 4
Z9 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PY 2016
VL 7
IS 6
BP 1962
EP 1972
DI 10.1080/19475705.2016.1171257
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000382556200015
ER

PT J
AU Wang, L
   Tian, BW
   Koike, K
   Hong, BT
   Ren, P
AF Wang, Ling
   Tian, Bingwei
   Koike, Katsuaki
   Hong, Buting
   Ren, Ping
TI Integration of Landscape Metrics and Variograms to Characterize and
   Quantify the Spatial Heterogeneity Change of Vegetation Induced by the
   2008 Wenchuan Earthquake
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE landscape metrics; spatial heterogeneity; remote sensing; variogram
ID PATTERN; NDVI
AB The quantification of spatial heterogeneity can be used to examine the structure of ecological systems. The 2008 Wenchuan earthquake caused severe vegetation damage. In addition to simply detecting change, the magnitude of changes must also be examined. Remote sensing and geographic information system techniques were used to produce landscape maps before and after the earthquake and analyze the spatial-temporal change of the vegetation pattern. Landscape metrics were selected to quantify the spatial heterogeneity in a categorical map at both the class and landscape levels. The results reveal that the Wenchuan earthquake greatly increased the heterogeneity in the study area. In particular, forests experienced the most fragmentation among all of the landscape types. In addition, spatial heterogeneity in a numerical map was studied by using variogram analysis of normalized difference vegetation indices derived from Landsat images. In comparison to before the earthquake, the spatial variability after the earthquake had doubled. The structure of the spatial heterogeneity represented by the range of normalized difference vegetation index (NDVI) variograms also changed due to the earthquake. Moreover, the results of the NDVI variogram analysis of three contrasting landscapes, which were farmland, broadleaved forest, and coniferous forest, confirm that the earthquake produced spatial variability and changed the structure of the landscapes. Regardless of before or after the earthquake, farmland sites are the most heterogeneous among the three landscapes studied.
C1 [Wang, Ling; Hong, Buting; Ren, Ping] Sichuan Normal Univ, Minist Educ, Key Lab Land Resources Evaluat & Monitoring South, Chengdu 610066, Peoples R China.
   [Wang, Ling; Hong, Buting; Ren, Ping] Sichuan Normal Univ, Collaborat Innovat Ctr Land Resource Dev & Protec, Chengdu 610066, Peoples R China.
   [Tian, Bingwei] Sichuan Univ, Inst Disaster Management & Reconstruct, Chengdu 610200, Peoples R China.
   [Koike, Katsuaki] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158540, Japan.
C3 Sichuan Normal University; Sichuan Normal University; Sichuan
   University; Kyoto University
RP Tian, BW (corresponding author), Sichuan Univ, Inst Disaster Management & Reconstruct, Chengdu 610200, Peoples R China.
EM wangling@sicnu.edu.cn; bwtian@scu.edu.cn;
   koike.katsuaki.5x@kyoto-u.ac.jp; hongbuting@sicnu.edu.cn;
   renping@sicnu.edu.cn
TC 7
Z9 8
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2220-9964
PD JUN
PY 2017
VL 6
IS 6
AR 164
DI 10.3390/ijgi6060164
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000404525800010
ER

PT J
AU Ni, ZY
   Yang, ZY
   Li, WL
   Zhao, YB
   He, ZW
AF Ni, Zhongyun
   Yang, Zhenyu
   Li, Weile
   Zhao, Yinbing
   He, Zhengwei
TI Decreasing Trend of Geohazards Induced by the 2008 Wenchuan Earthquake
   Inferred from Time Series NDVI Data
SO REMOTE SENSING
DT Article
DE time series NDVI; spatiotemporal evolution; area affected by vegetation
   damage (AVD); 12 May 2008 Wenchuan Earthquake
ID FRACTIONAL VEGETATION COVER; CHI-CHI EARTHQUAKE; INDUCED LANDSLIDES;
   KASHMIR EARTHQUAKE; DAMAGED VEGETATION; DEBRIS FLOWS; RECOVERY; AREA;
   SATELLITE; IMPACT
AB The occurrence of aftershocks and geohazards (landslides, collapses, and debris flows) decreases with time following a major earthquake. The 12 May 2008 Wenchuan Earthquake in Sichuan, China, provides the opportunity to characterize the subsequent spatiotemporal evolution of geohazards. Following the 12 May 2008 Wenchuan Earthquake, the incidence of geohazards first increased sharply, representing a "post-earthquake effect", before starting to decrease. We compared the spatial distribution of the area affected by vegetation damage (AVD) triggered by large and medium-scale geohazards (LMG). We studied the interval prior to the 12 May 2008 Wenchuan Earthquake (2001-2007), the co-seismic period (2008), and the post-earthquake interval (2009-2016) and characterized the trend of decreasing geohazards at a macro scale. In vegetated areas, geohazards often seriously damage the vegetation, resulting in pronounced contrasts with the surrounding surface in terms of color tone, texture, morphology, and Normalized Difference Vegetation Index (NDVI) which are evident in remote sensing images (RSI). In principle, it is possible to use the strong positive correlation between AVD and geohazards to determine indirectly the resulting vegetation and to monitor its spatiotemporal evolution. In this study we attempted to characterize the process of geohazard evolution in the region affected by the 12 May 2008 Wenchuan Earthquake during 2001-2016. Our approach was to analyze the characteristics of areas with reduced vegetation coverage caused by LMG. Our principal findings are as follows: (i) Before the Wenchuan Earthquake (during 2001-2007), there was no evidence for a linear increase in the number of LMG with time; thus, the geological environment was relatively stable and the geohazards were mainly induced by rainfall events. (ii) The 12 May 2008 Wenchuan Earthquake was the main cause of a surge in geohazards in 2008, with the characteristics of seismogenic faults and strong aftershocks determining the spatial distribution of geohazards. (iii) Following the 12 May 2008 Wenchuan Earthquake (during 2009-2016) the incidence of geohazards exhibited an oscillating pattern of attenuation, with a decreasing trend of higher-grade seismic intensity. The intensity of geohazards was related to rainfall and seismogenic faults, and also to the number, magnitude and depth of new earthquakes following the 12 May 2008 Wenchuan Earthquake. Our results provide a new perspective on the temporal pattern of attenuation of seismic geohazards, with implications for disaster prevention and mitigation and ecological restoration in the areas affected by the 12 May 2008 Wenchuan Earthquake.
C1 [Ni, Zhongyun; Yang, Zhenyu] Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
   [Ni, Zhongyun; Zhao, Yinbing] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Sichuan, Peoples R China.
   [Ni, Zhongyun; Li, Weile; Zhao, Yinbing; He, Zhengwei] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Capital Normal University; Chengdu University of Technology; Chengdu
   University of Technology
RP Yang, ZY (corresponding author), Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China.
EM nizhongyun2012@mail.cdut.edu.cn; zhenyu.yang@cnu.edu.cn;
   liweile08@mail.cdut.edu.cn; zhaoyinbing06@cdut.cn; hzw@cdut.edu.cn
TC 17
Z9 20
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD OCT
PY 2019
VL 11
IS 19
AR 2192
DI 10.3390/rs11192192
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000496827100006
ER

PT J
AU Chen, M
   Tang, C
   Xiong, J
   Chang, M
   Li, N
AF Chen, Ming
   Tang, Chuan
   Xiong, Jiang
   Chang, Ming
   Li, Ning
TI Spatio-temporal mapping and long-term evolution of debris flow activity
   after a high magnitude earthquake
SO CATENA
DT Article
DE Wenchuan earthquake; Remote sensing; Debris flow activity;
   Spatio-temporal evolution; Driving factor
ID 2008 WENCHUAN EARTHQUAKE; 13 AUGUST 2010; LANDSLIDES; CHINA; AREA;
   RECOVERY; INSIGHTS; FAILURE; EROSION; IMPACT
AB A high-magnitude earthquake can trigger substantial amounts of co-seismic debris and unstable hillslopes in mountainous regions, which leads to a significant increase in the frequency and magnitude of post-earthquake debris flows. The long-term impacts of earthquakes on the debris flow activity have not been fully understood, primarily because of a lack of multi-temporal mapping inventories of debris flow activity. Therefore, it is crucial to analyze the spatio-temporal evolution of debris flow activities and their driving factors after the 2008 Wenchuan earthquake for disaster risk management and mitigation from a dynamic perspective. We used the fusion of remote sensing data to develop the first systematic multi-temporal inventory of debris flow activity to quantify changes in spatial and temporal activity of post-earthquake debris flows from 2008 to 2021. Subsequently, we examined the control of material sources, topographic and hydrological factors on the evolution of post-earthquake debris flow activities. A close relationship between the decline in debris flow activity and the reduced active material sources was observed in both time and space, so the supply capacity of hillslope deposits after the earthquake was the first-order indicator controlling post-earthquake debris flow activity. With the progressive depletion and stabilization of co-seismic landslide materials over time, topographic and hydrological factors occupied a dominant role in the occurrence of debris flow. In general, an oscillatory decay pattern of debris flow activity over time was observed after the 2008 Wenchuan earthquake. We observed that the period of post-earthquake debris flow activity varied considerably in different regions attributed to the magnitude of the earthquake, and the geological and climatic environments. Based on the debris flow channel disturbances, the dynamic evolution of landslide materials and hydrodynamics, we divided the debris flow active period after the Wenchuan earthquake into three phases: high activity period (lasting 2 - 5 years), medium activity period (lasting 3 - 10 years), and low activity period (lasting 9 - 18 years). Following the above three activity periods, the debris flow activity will evolve into a steady period. We also proposed a quantitative model for debris flow activeness in the main Wenchuan earthquake-affected area, which predicts that the activeness of debris flows will tend to pre-earthquake levels in 46 years following the earthquake.
C1 [Chen, Ming; Tang, Chuan; Chang, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Xiong, Jiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610044, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Institute
   of Mountain Hazards & Environment, CAS; Xihua University
RP Chen, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM chenminggeo@163.com
TC 25
Z9 25
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD MAR 15
PY 2024
VL 236
AR 107716
DI 10.1016/j.catena.2023.107716
EA DEC 2023
SC Geology; Agriculture; Water Resources
UT WOS:001133892100001
ER

PT J
AU Guo, XJ
   Cui, P
   Marchi, L
   Ge, YG
AF Guo, Xiaojun
   Cui, Peng
   Marchi, Lorenzo
   Ge, Yonggang
TI Characteristics of rainfall responsible for debris flows in Wenchuan
   Earthquake area
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Debris flows; Inducing rainfall; Triggering rainfall intensity; Rainfall
   thresholds; Wenchuan Earthquake area
ID THRESHOLDS; LANDSLIDES; INITIATION
AB The ability to forecast debris flows is important because of their frequent occurrence and potential for large-scale damage in the Wenchuan Earthquake-hit area. Accurate understanding of the characteristics of rainfall responsible for triggering debris flows is necessary for an effective early warning procedure. This study examined the general characteristics and spatiotemporal variation of rainfall events that responsible for debris flows. Analysis was performed on rainfall data extracted during 2008-2013. The results revealed that the rainfall thresholds for debris flows varied annually and showed tendency toward higher conditions required. The coefficient of variation of relevant rainfall events indicated that the characteristics of the rainstorms changed. In addition, the coefficient of deviation revealed the spatial variation of rainfall in subregions, which was attributed to differences of the local climatic conditions that control debris flow occurrence. The primary controlling rainfall indices for triggering debris flows were filtered, and the most suitable models for establishing rainfall thresholds were selected. Ultimately, the rainfall thresholds were obtained for each subregion within the study area.
C1 [Guo, Xiaojun; Cui, Peng; Ge, Yonggang] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Sichuan, Peoples R China.
   [Cui, Peng] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
   [Marchi, Lorenzo] CNR, IRPI, I-35127 Padua, Italy.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; Institute of Tibetan
   Plateau Research, CAS; Center for Excellence in Tibetan Plateau Earth
   Sciences (CETES), CAS; Consiglio Nazionale delle Ricerche (CNR);
   Istituto di Ricerca per la Protezione Idrogeologica (IRPI-CNR)
RP Ge, YG (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Sichuan, Peoples R China.
EM gyg@imde.ac.cn
TC 24
Z9 30
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD SEP
PY 2017
VL 76
IS 17
AR 596
DI 10.1007/s12665-017-6940-y
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000410817000008
ER

PT J
AU Xu, FG
   Ou, YH
   Wang, F
   Wei, BW
   Ruokun-Nie
AF Xu, Fu-gang
   Ou, Yi-heng
   Wang, Feng
   Wei, Bo-wen
   Ruokun-Nie
TI Risk assessment of geological disasters in Beichuan County after the
   Wenchuan earthquake based on ArcGIS
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Geological disaster; Risk assessment; Beichuan County; Wenchuan
   earthquake; GIS
AB Extreme geological disasters have been occurring with increasing frequency, especially in Southwest China, seriously affecting people's lives and production. It is necessary and urgent to quickly assess the risk level of geological disasters and formulate reasonable emergency measures. In this paper, we take Beichuan Qiang Autonomous County (hereinafter referred to as Beichuan County) after the Wenchuan earthquake as an example, use ArcGIS software and SPSS software to determine the optimal geological disaster evaluation factors, and apply the frequency ratio model method (FR) to evaluate the susceptibility risk of the study area. Geological hazard risk assessment (R) combines the hazard assessment (H) and the vulnerability assessment of the hazard-bearing body (V), namely, R = H x V. The hazard assessment is based on the vulnerability assessment zoning map, which is obtained by overlaying the danger level onto each village, thus producing a danger assessment zoning map. H is then combined with the vulnerability assessment zoning map of the bearing body, which is obtained via the fuzzy comprehensive evaluation method, and the final risk assessment result is achieved. The results show that the medium- and high-risk areas make up the vast majority of the study area. Qushan town, Yong'an town, and Xiaoba town are extremely high-risk areas with both high risk and high vulnerability and therefore need to be the focus of prevention and control measures. The results of this study can provide a scientific basis for geological disaster management, monitoring, forecasting, emergency disaster relief, and environmental protection; furthermore, they have a certain reference value for early warning of geological disaster risks.
C1 [Xu, Fu-gang; Ou, Yi-heng; Wei, Bo-wen; Ruokun-Nie] Nanchang Univ, Sch Infrastruct Engn, Nanchang 330031, Peoples R China.
   [Wang, Feng] Jiangxi Water Resources Inst, Nanchang 330013, Peoples R China.
C3 Nanchang University
RP Wei, BW (corresponding author), Nanchang Univ, Sch Infrastruct Engn, Nanchang 330031, Peoples R China.
EM xufugang785315056@126.com
TC 5
Z9 5
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD NOV
PY 2023
VL 82
IS 11
AR 416
DI 10.1007/s10064-023-03421-y
SC Engineering; Geology
UT WOS:001100311000006
ER

PT J
AU Xu, C
   Xu, XW
   Zhou, BG
   Yu, GH
AF Xu, Chong
   Xu, Xiwei
   Zhou, Bengang
   Yu, Guihua
TI Revisions of the M 8.0 Wenchuan earthquake seismic intensity map based
   on co-seismic landslide abundance
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake-triggered landslides; Spatial distribution; The M
   8.0 Wenchuan earthquake seismic intensity map; GIS; Revision
ID SURFACE RUPTURES; PARAMETERS; PATTERN
AB Hundreds of thousands of landslides were triggered by the May 12, 2008, Mw 7.9 Wenchuan earthquake in China. A detailed inventory of landslides triggered by the earthquake was prepared based on geographic information systems and remote sensing technology. Visual interpretation of high-resolution satellite images and aerial photos taken pre- and post-earthquake and selected field investigation showed that at least 197,481 co-seismic landslides related to the earthquake were triggered throughout an area of approximately 110,000 km(2). These co-seismic landslides are delineated as individual solid polygons. The landslides cover a total area of approximately 1,160 km(2). Most of the landslides are distributed in an approximate ellipse area with a total area of approximately 44,031 km(2). In this paper, quantitative co-seismic landslide criteria for seismic intensity zonation were constructed based on the original "M 8.0 Wenchuan Earthquake Seismic Intensity Map" (MWESIM) and co-seismic landslide abundance analyses. These quantitative criteria, which correspond to landslide area percentages (LAP), indicate the percentage of the area affected by landslides in certain calculation windows and are listed as follows: Areas of LAP a parts per thousand yen70 % correspond to the XII intensity district; areas of 20 % a parts per thousand currency sign LAP < 70 % correspond to the XI intensity district; areas of 1 % a parts per thousand currency sign LAP < 5 % correspond to the IX intensity district; and areas of LAP < 1 % correspond to the VIII and less-than-VIII intensity districts. The VII and greater-than-VII intensity districts of the original MWESIM, which constituted an area of approximately 123,832 km(2), were corrected based on the above quantitative criteria. The degrees of fit of the original and revised MWESIMs with the co-seismic landslides were 93.8 and 95.8 %, respectively, indicating a 2.0 % improvement. The quantitative criteria of the constructed earthquake-triggered landslides for seismic intensity zonation can provide a scientific reference, standard, and basis for seismic intensity zonation in other earthquake events, especially those occurring in mountainous areas.
C1 [Xu, Chong; Xu, Xiwei; Zhou, Bengang; Yu, Guihua] China Earthquake Adm, Inst Geol, Key Lab Active Tecton & Volcano, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Active Tecton & Volcano, 1 Huayanli,POB 9803, Beijing 100029, Peoples R China.
EM xc11111111@126.com; xiweixu@vip.sina.com
TC 49
Z9 53
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD DEC
PY 2013
VL 69
IS 3
BP 1459
EP 1476
DI 10.1007/s11069-013-0757-0
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000327875400011
ER

PT J
AU Ma, C
   Hu, KH
   Zou, Q
   Tian, M
AF Ma Chao
   Hu Kai-heng
   Zou Qiang
   Tian Mi
TI Characteristics of clustering debris flows in Wenchuan earthquake zone
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Clustering debris flows; Wenchuan earthquake; Rainfall threshold;
   Formation process
ID CHI-CHI EARTHQUAKE; CENTRAL TAIWAN; RAINFALL
AB Clustering debris-flow events, namely many debris flows simultaneously triggered by a regional rainstorm in a large-scale mountainous area, occurred in four regions of Wenchuan earthquake stricken areas in 2008 and 2010. The characteristics of the clustering debris flows are examined with regard to triggering rainfall, formation process, and relationship with the earthquake by field survey and remote sensing interpretation. It is found that the clustering events occurred nearly at the same time with the local peak rainstorms, and the rainfall intensity-duration bottom limit line for clustering debris flows is higher than the worldwide line. It means that more rainfall is needed for the occurrence of the clustering debris flows. Four kinds of major formation processes for these debris flows are summarized: tributary-dominated, mainstream-dominated, transformation from slope failures, and mobilization or liquefaction of landslide. The four regions has a spatial correlation with the strong-quake-influenced zone with the peak ground acceleration = 0.2 g and the seismic intensity > X.
C1 [Ma Chao; Hu Kai-heng; Zou Qiang; Tian Mi] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Ma Chao; Hu Kai-heng; Zou Qiang; Tian Mi] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Ma Chao; Zou Qiang; Tian Mi] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Hu, KH (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM sanguoxumei@163.com; khhu@imde.ac.cn
TC 16
Z9 18
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD DEC
PY 2013
VL 10
IS 6
BP 953
EP 961
DI 10.1007/s11629-013-2410-5
SC Environmental Sciences & Ecology
UT WOS:000327459900004
ER

PT J
AU Liu, DL
   Zhang, SJ
   Yang, HJ
   Zhao, LQ
   Jiang, YH
   Tang, D
   Leng, XP
AF Liu, D. L.
   Zhang, S. J.
   Yang, H. J.
   Zhao, L. Q.
   Jiang, Y. H.
   Tang, D.
   Leng, X. P.
TI Application and analysis of debris-flow early warning system in Wenchuan
   earthquake-affected area
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID CRITICAL RAINFALL THRESHOLDS; SOIL COUPLING MECHANISM; SHALLOW
   LANDSLIDES; DURATION CONTROL; REGIONAL-SCALE; INITIATION; SLOPE;
   INTENSITY; RUNOFF; FAILURES
AB The activities of debris flow (DF) in theWenchuan earthquake-affected area significantly increased after the earthquake on 12 May 2008. The safety of the lives and property of local people is threatened by DFs. A physics-based early warning system (EWS) for DF forecasting was developed and applied in this earthquake area. This paper introduces an application of the system in the Wenchuan earthquake-affected area and analyzes the prediction results via a comparison to the DF events triggered by the strong rainfall events reported by the local government. The prediction accuracy and efficiency was first compared with a contribution-factor-based system currently used by the weather bureau of Sichuan province. The storm on 17 August 2012 was used as a case study for this comparison. The comparison shows that the false negative rate and false positive rate of the new system is, respectively, 19 and 21% lower than the system based on the contribution factors. Consequently, the prediction accuracy is obviously higher than the system based on the contribution factors with a higher operational efficiency. On the invitation of the weather bureau of Sichuan province, the authors upgraded their prediction system of DF by using this new system before the monsoon of Wenchuan earthquake-affected area in 2013. Two prediction cases on 9 July 2013 and 10 July 2014 were chosen to further demonstrate that the new EWS has high stability, efficiency, and prediction accuracy.
C1 [Liu, D. L.; Zhang, S. J.; Yang, H. J.; Jiang, Y. H.; Leng, X. P.] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Liu, D. L.] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Liu, D. L.; Tang, D.] Chengdu Univ Informat & Technol, Coll Software Engn, Chengdu 610225, Peoples R China.
   [Zhao, L. Q.] CMA, Publ Meteorol Serv Ctr, Beijing 100081, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Chengdu University of Information Technology;
   China Meteorological Administration; Public Meteorological Service
   Center, China Meteorological Administration
RP Zhang, SJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM sj-zhang@imde.ac.cn
TC 16
Z9 16
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PY 2016
VL 16
IS 2
BP 483
EP 496
DI 10.5194/nhess-16-483-2016
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000373920100013
ER

PT J
AU Li, WL
   Huang, RQ
   Tang, C
   Xu, Q
   van Westen, C
AF Li Wei-le
   Huang Run-qiu
   Tang Chuan
   Xu Qiang
   van Westen, Cees
TI Co-seismic landslide inventory and susceptibility mapping in the 2008
   Wenchuan earthquake disaster area, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan Earthquake; Landslide; Inventory; Susceptibility mapping;
   Logistic regression
ID LOGISTIC-REGRESSION MODEL; SPATIAL-DISTRIBUTION; GIS; HAZARD
AB The Ms 8.0 May 12, 2008 Wenchuan earthquake triggered tens of thousands of landslides. The widespread landslides have caused serious casualties and property losses, and posed a great threat to post-earthquake reconstruction. A spatial database, inventoried 43,842 landslides with a total area of 632 km(2), was developed by interpretation of multi-resolution remote sensing images. The landslides can be classified into three categories: swallow, disrupted slides and falls; deep-seated slides and falls, and rock avalanches. The correlation between landslides distribution and the influencing parameters including distance from co-seismic fault, lithology, slope gradient, elevation, peak ground acceleration (PGA) and distance from drainage were analyzed. The distance from co-seismic fault was the most significant parameter followed by slope gradient and PGA was the least significant one. A logistic regression model combined with bivariate statistical analysis (BSA) was adopted for landslide susceptibility mapping. The study area was classified into five categories of landslide susceptibility: very low, low, medium, high and very high. 92.0% of the study area belongs to low and very low categories with corresponding 9.0% of the total inventoried landslides. Medium susceptible zones make up 4.2% of the area with 17.7% of the total landslides. The rest of the area was classified into high and very high categories, which makes up 3.9% of the area with corresponding 73.3% of the total landslides. Although the susceptibility map can reveal the likelihood of future landslides and debris flows, and it is helpful for the rebuilding process and future zoning issues.
C1 [Li Wei-le; Huang Run-qiu; Tang Chuan; Xu Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Li Wei-le; van Westen, Cees] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AA Enschede, Netherlands.
C3 Chengdu University of Technology; University of Twente
RP Li, WL (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM whylwl01@163.com
TC 41
Z9 49
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2013
VL 10
IS 3
BP 339
EP 354
DI 10.1007/s11629-013-2471-5
SC Environmental Sciences & Ecology
UT WOS:000319418700001
ER

PT J
AU Luo, X
   Feng, Q
   Jia, YZ
   Chen, HY
   Song, YY
   Xu, WB
AF Luo, Xin
   Feng, Qian
   Jia, Yuzhen
   Chen, Hongyan
   Song, Yiyun
   Xu, Wenbo
TI The Large-Scale Investigation and Analysis of Lophodermium piceae
   in Subalpine Areas Based on Satellite Multi-Spectral Remote Sensing
SO DIVERSITY-BASEL
DT Article
DE Lophodermium piceae; subalpine area; satellite multi-spectral images;
   large-scale investigation; spatio-temporal analysis
AB Picea asperata, a common tree species in the subalpine areas of Li County, Sichuan Province, China, is susceptible to Lophodermium piceae. Remote sensing has the advantages of large-scale, fast information acquisition, and low cost, which can overcome the shortcomings of ground survey. Hence, we used Landsat 8 satellite multi-spectral images and forest resource distribution data to investigate and analyze this forest disease at a large scale. Firstly, we extracted the spatial distribution information of Picea asperata and chose a temporal sequence indicator to establish a regression model and obtained a significantly negative correlation between the damage degree of plants and the change rate of normalized difference vegetation index (NDVI). Accordingly, the investigation results of the disease have good consistency with the ground survey data in spatial distribution and damage degree. On this basis, a temporal regression analysis was performed by combining the remote sensing investigation results with climate variables, and canonical correspondence analysis (CCA) was utilized in the spatial comprehensive analysis of Lophodermium piceae with terrain, soil and forest stand factors. Conclusively, this study effectively coped with the difficulties in full investigation and analysis of Lophodermium piceae in ecologically fragile subalpine areas of Western Sichuan. It is of important reference value in the early warning and monitoring of this disease, and also provides objective and reliable information support for ecological restoration and management planning in the Wenchuan earthquake-stricken areas.
C1 [Luo, Xin; Feng, Qian; Chen, Hongyan; Song, Yiyun; Xu, Wenbo] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China.
   [Luo, Xin; Feng, Qian; Xu, Wenbo] Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China.
   [Jia, Yuzhen] Sichuan Acad Forestry, Inst Forest Pest Control, Chengdu 610081, Peoples R China.
C3 University of Electronic Science & Technology of China; University of
   Electronic Science & Technology of China
RP Luo, X (corresponding author), Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China.; Luo, X (corresponding author), Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China.
EM luoxin@uestc.edu.cn
TC 1
Z9 1
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1424-2818
PD SEP
PY 2022
VL 14
IS 9
AR 727
DI 10.3390/d14090727
SC Biodiversity & Conservation; Environmental Sciences & Ecology
UT WOS:000858165500001
ER

PT J
AU Han, Z
   Li, YE
   Du, YF
   Wang, WD
   Chen, GQ
AF Han, Zheng
   Li, Yange
   Du, Yinfei
   Wang, Weidong
   Chen, Guangqi
TI Noncontact detection of earthquake-induced landslides by an enhanced
   image binarization method incorporating with Monte-Carlo simulation
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Landslides; Image binarization; Local thresholding method; Monte-Carlo
   simulation; The Wenchuan Earthquake
ID DOCUMENT; MOBILITY
AB Detecting landslides using remote sensing images involves converting gray level images into binary images. Given the complex background and non-uniform illumination in the regional remote sensing image, the commonly-used global thresholding methods are limited to interpret some landslides those hidden in the shadow. In this paper, we report on an enhanced image thresholding method for the noncontact detection of earthquake-induced landslides. The proposed method incorporates Monte-Carlo simulation into the local thresholding method, and essential issues, regarding complex illumination condition and uncertainties of determining block size in local thresholding method, are addressed. To better separate landslide candidate objects from the background, we incorporate Digital Surface Model (DSM) into the binary image, such that the interferences by built-up areas, terraces, and rivers can be significantly reduced considering the indicator of slope gradient. The described method has been tested using two benchmark tests, showing that the proposed method performs well dealing with the complex background and illumination condition. As a case study, we use the proposed method to detect landslides in a remote sensing image near Beichuan area after the 2008 Ms8.0 Wenchuan earthquake. Results demonstrate that the presented method interprets landslides resembling those of manually visual delineation.
C1 [Han, Zheng; Li, Yange; Du, Yinfei; Wang, Weidong] Cent S Univ, Sch Civil Engn, Dept Rd Engn, Changsha, Hunan, Peoples R China.
   [Han, Zheng; Li, Yange] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
   [Wang, Weidong] Cent S Univ, Minist Educ, Key Lab Engn Struct Heavy Haul Railway, Changsha, Hunan, Peoples R China.
   [Chen, Guangqi] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka, Fukuoka, Japan.
C3 Central South University; Chengdu University of Technology; Central
   South University; Kyushu University
RP Du, YF (corresponding author), Cent S Univ, Sch Civil Engn, Dept Rd Engn, Changsha, Hunan, Peoples R China.
EM yfdu_csu@csu.edu.cn
TC 21
Z9 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PD JAN 1
PY 2019
VL 10
IS 1
BP 219
EP 241
DI 10.1080/19475705.2018.1520745
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000454489600001
ER

PT J
AU Jin, W
   Zhang, GT
   Ding, Y
   Liu, NJ
   Huo, XW
AF Jin, Wen
   Zhang, Guotao
   Ding, Yi
   Liu, Nanjiang
   Huo, Xiaowei
TI Identifying the Characteristics and Implications of Post-Earthquake
   Debris Flow Events Based on Multi-Source Remote Sensing Images
SO REMOTE SENSING
DT Article
DE multi-source remote sensing images; loose materials; post-earthquake
   debris flow; channel evolution; accumulation fan
ID GRAVEL-BED RIVER; WENCHUAN EARTHQUAKE; LANDSLIDES; VEGETATION;
   THRESHOLD; EVOLUTION; IMPACT
AB Strong earthquakes often bring amounts of loose material, disrupting the balance of material transportation within a watershed and severely impacting the restoration of the ecological environment and human safety downstream. Therefore, it is crucial to identify the frequency and scale of these debris flow events, as well as to explore their long-term development and impact on internal and external channels. Using multi-source remote sensing images from four perspectives, hillslope, channel, accumulation fan, and their relationship with the mainstream, we reconstructed a debris flow event dataset from 2008 to 2020, explored a method for identifying these events, and analyzed their impacts on channels and accumulation fans in Mozi Gully affected by the Wenchuan earthquake. Loose matter was predominantly found in areas proximate to the channel and at lower elevations during debris flow events. Alterations in channel width, accumulation fans downstream, and their potential to obstruct rivers proved to be vital for identifying the large scale of debris flow event. Finally, we encapsulated the evolution patterns and constraints of post-earthquake debris flows. Determination in frequency and scale could offer valuable supplementary data for scenario hypothesis parameters in post-earthquake disaster engineering prevention and control.
C1 [Jin, Wen; Ding, Yi; Liu, Nanjiang] Natl Disaster Reduct Ctr China, Minist Emergency Management, Beijing 100124, Peoples R China.
   [Zhang, Guotao] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
   [Huo, Xiaowei] Xian Zhongdi Environm Sci & Technol Co Ltd, Xian 710000, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS
RP Zhang, GT (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
EM jinwen1313@163.com; zhangguotao@igsnrr.ac.cn; dingyibeijing@126.com;
   insoliu@163.com; showayhuoxiaowei@163.com
TC 1
Z9 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD SEP
PY 2024
VL 16
IS 17
AR 3336
DI 10.3390/rs16173336
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001311774900001
ER

PT J
AU Saro, L
   Woo, JS
   Kwan-Young, O
   Moung-Jin, L
AF Saro, Lee
   Woo, Jeon Seong
   Kwan-Young, Oh
   Moung-Jin, Lee
TI The spatial prediction of landslide susceptibility applying artificial
   neural network and logistic regression models: A case study of Inje,
   Korea
SO OPEN GEOSCIENCES
DT Article
DE Landslide; GIS; artificial neural network; logistic regression;
   susceptibility map; Korea
ID REMOTE-SENSING DATA; CONDITIONAL-PROBABILITY; STATISTICAL-ANALYSIS;
   WENCHUAN EARTHQUAKE; GIS; RAINFALL; TURKEY; BIVARIATE; RISK; KOYULHISAR
AB The aim of this study is to predict landslide susceptibility caused using the spatial analysis by the application of a statistical methodology based on the GIS. Logistic regression models along with artificial neutral network were applied and validated to analyze landslide susceptibility in Inje, Korea. Landslide occurrence area in the study were identified based on interpretations of optical remote sensing data (Aerial photographs) followed by field surveys. A spatial database considering forest, geophysical, soil and topographic data, was built on the study area using the Geographical Information System (GIS). These factors were analysed using artificial neural network (ANN) and logistic regression models to generate a landslide susceptibility map. The study validates the landslide susceptibility map by comparing them with landslide occurrence areas. The locations of landslide occurrence were divided randomly into a training set (50%) and a test set (50%). A training set analyse the landslide susceptibility map using the artificial network along with logistic regression models, and a test set was retained to validate the prediction map. The validation results revealed that the artificial neural network model (with an accuracy of 80.10%) was better at predicting landslides than the logistic regression model (with an accuracy of 77.05%). Of the weights used in the artificial neural network model, 'slope' yielded the highest weight value (1.330), and 'aspect' yielded the lowest value (1.000). This research applied two statistical analysis methods in a GIS and compared their results. Based on the findings, we were able to derive a more effective method for analyzing landslide susceptibility.
C1 [Saro, Lee] Korea Inst Geosci & Mineral Resources KIGAM, Div Geol Res, 124 Gwahang No, Daejeon 34132, South Korea.
   [Saro, Lee] Korea Univ Sci & Technol, 217 Gajeong Ro, Daejeon 02841, South Korea.
   [Woo, Jeon Seong] Korea Univ, Div Environm Sci & Ecol Engn, 145 Anam Ro, Seoul 02841, South Korea.
   [Kwan-Young, Oh] Univ Seoul, Dept Geoinformat, Siripdae Gil 13, Seoul 02504, South Korea.
   [Kwan-Young, Oh] Korea Environm Inst, 11F,Bldg B,370 Sicheong Daero, Sejong 30147, South Korea.
   [Moung-Jin, Lee] Korea Environm Inst, 10F,Bldg B,370 Sicheong Daero, Sejong 30147, South Korea.
C3 Korea Institute of Geoscience & Mineral Resources (KIGAM); Korea
   University; University of Seoul; Korea Environment Institute (KEI);
   Korea Environment Institute (KEI)
RP Moung-Jin, L (corresponding author), Korea Environm Inst, 10F,Bldg B,370 Sicheong Daero, Sejong 30147, South Korea.
EM leemj@kei.re.kr
TC 36
Z9 44
PU SCIENDO
PI WARSAW
PA DE GRUYTER POLAND SP Z O O, BOGUMILA ZUGA 32A STR, 01-811 WARSAW, POLAND
SN 2391-5447
PD JAN
PY 2016
VL 8
IS 1
BP 117
EP 132
DI 10.1515/geo-2016-0010
SC Geology
UT WOS:000371283300012
ER

PT J
AU Zhao, J
   Ding, F
   Wang, Z
   Ren, JH
   Zhao, J
   Wang, YP
   Tang, XF
   Wang, Y
   Yao, JY
   Li, Q
AF Zhao, Jian
   Ding, Fan
   Wang, Zhe
   Ren, Jinghuan
   Zhao, Jing
   Wang, Yeping
   Tang, Xuefeng
   Wang, Yong
   Yao, Jianyi
   Li, Qun
TI A Rapid Public Health Needs Assessment Framework for after Major
   Earthquakes Using High-Resolution Satellite Imagery
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
DT Article
DE earthquake; public health emergency management; high-resolution remote
   sensing; evaluation
ID WENCHUAN EARTHQUAKE; RESCUE EFFORTS; RISK; DISASTERS; DAMAGE;
   CASUALTIES; LESSONS
AB Background: Earthquakes causing significant damage have occurred frequently in China, producing enormous health losses, damage to the environment and public health issues. Timely public health response is crucial to reduce mortality and morbidity and promote overall effectiveness of rescue efforts after a major earthquake. Methods: A rapid assessment framework was established based on GIS technology and high-resolution remote sensing images. A two-step casualties and injures estimation method was developed to evaluate health loss with great rapidity. Historical data and health resources information was reviewed to evaluate the damage condition of medical resources and public health issues. Results: The casualties and injures are estimated within a few hours after an earthquake. For the Wenchuan earthquake, which killed about 96,000 people and injured about 288,000, the estimation accuracy is about 77%. 242/294 (82.3%) of the medical existing institutions were severely damaged. About 40,000 tons of safe drinking water was needed every day to ensure basic living needs. The risk of water-borne and foodborne disease, respiratory and close contact transmission disease is high. For natural foci diseases, the high-risk area of schistosomiasis was mapped in Lushan County as an example. Finally, temporary settlements for victims of earthquake were mapped. Conclusions: High resolution Earth observation technology can provide a scientific basis for public health emergency management in the major disasters field, which will be of great significance in helping policy makers effectively improve health service ability and public health emergency management in prevention and control of infectious diseases and risk assessment.
C1 [Zhao, Jian; Ding, Fan; Wang, Zhe; Ren, Jinghuan; Zhao, Jing; Wang, Yeping; Yao, Jianyi; Li, Qun] Chinese Ctr Dis Control & Prevent, Beijing 102206, Peoples R China.
   [Tang, Xuefeng] Hlth & Family Planning Commiss Sichuan Prov, Chengdu 610041, Sichuan, Peoples R China.
   [Wang, Yong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
C3 Chinese Center for Disease Control & Prevention; Chinese Academy of
   Sciences; Institute of Geographic Sciences & Natural Resources Research,
   CAS
RP Yao, JY; Li, Q (corresponding author), Chinese Ctr Dis Control & Prevent, Beijing 102206, Peoples R China.
EM zhaojian@chinacdc.cn; dingfan@chinacdc.cn; wangzhe@chinacdc.cn;
   renjh@chinacdc.cn; zhaojing@chinacdc.cn; wangyp@chinacdc.cn;
   sccdctxf@163.com; wangy@igsnrr.ac.cn; yaojy@chinacdc.cn;
   liqun@chinacdc.cn
TC 16
Z9 17
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
PD JUN
PY 2018
VL 15
IS 6
AR 1111
DI 10.3390/ijerph15061111
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
UT WOS:000436496900062
ER

PT J
AU Fu, BH
   Shi, PL
   Wang, P
   Li, Q
   Kong, P
   Zheng, GD
AF Fu Bi-Hong
   Shi Pi-Long
   Wang Ping
   Li Qi
   Kong Ping
   Zheng Guo-Dong
TI Geometry and kinematics of the 2008 Wenchuan earthquake surface ruptures
   around the Qushan Town of Beichuan County, Sichuan: Implications for
   mitigation of seismic and geologic disasters
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE M(S)8.0 Wenchuan earthquakes; Coseismic surface rupture; High-resolution
   remote sensing; Effects of seismic and geologic disaster;
   Yinxiu-Beichuan fault
ID DEFORMATION; TIBET; ZONE
AB The NE-trending Yingxiu-Beichuan and Guanxian-Anxian faults in the Longmen Shan fault zone are responsible for the 12 May 2008 M(S)8.0 Wenchuan earthquake. Based on the interpretation of post-quake high-resolution remote sensing imagery and field geologic observations. the geometry and kinematics of co-seismic surface rupture as well as the seismic and geologic hazards along the Beichuan segment between Leigu Town and Qushan Town. Beichuan County. are analyzed in detail. Results indicate that surface deformation appears as an oblique thrusting with near equal vertical and right-lateral displacements ranged from 2 to 10 m, in which the largest displacement Occurred along this segment in the Yingxiu-Beichuan fault. A notable distribution feature of geologic disasters and building damages induced by this earthquake shows hanging wall effects across the surface rupture zone: the highest density of landslides, rock falls, debris flows and building damages occurred on the northwest (hanging wall) side of the fault, but few geologic disasters developed on the southeast (foot wall) side of the fault. These effects are caused directly by the asymmetric fault geometry and the stress interaction between the fault motion and free surface of the slopes. Other factors such as material heterogeneity and spatial variation in frictional properties along the fault strike may further affect the rupture and slip patterns of oblique thrust faulting with a right-lateral strike-slip component.
   From view of disaster mitigation, the geometry and kinematics of surface rupture zone M(S)8.0 Wenchuan earthquake also taught a realistic lesson to how to mitigate potential seismic and geologic disasters associated with future great earthquakes in highly populated region through pre-earthquake analysis and evaluation of active faults using remote sensing technique combined with field reconnaissance.
C1 [Fu Bi-Hong; Shi Pi-Long; Kong Ping; Zheng Guo-Dong] Chinese Acad Sci, Key Lab Earths Deep Interior, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Wang Ping] China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing 100029, Peoples R China.
   [Li Qi] Natl Inst Adv Ind Sci & Technol, Tsukuba, Ibaraki 3058567, Japan.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   China Earthquake Administration; Institute of Geology, CEA; National
   Institute of Advanced Industrial Science & Technology (AIST)
RP Fu, BH (corresponding author), Chinese Acad Sci, Key Lab Earths Deep Interior, Inst Geol & Geophys, Beijing 100029, Peoples R China.
EM fubihong@mail.iggcas.ac.cn
TC 31
Z9 66
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD FEB
PY 2009
VL 52
IS 2
BP 485
EP 495
SC Geochemistry & Geophysics
UT WOS:000263938300019
ER

PT J
AU Guo, HD
   Ma, JW
   Zhang, B
   Li, Z
   Huang, J
   Zhu, LW
AF Guo, Huadong
   Ma, Jianwen
   Zhang, Bing
   Li, Zhen
   Huang, Jun
   Zhu, Lanwei
TI Damage consequence chain mapping after the Wenchuan Earthquake using
   remotely sensed data
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
AB The Wenchuan Earthquake occurred on 12 May 2008 followed by frequent aftershocks. The earthquake suddenly caused heavy damage to roads, bridges, buildings and communication facilities. Two B4101 Citation II remote sensing airplanes from the Chinese Academy of Sciences took off to monitor the region soon after the earthquake and collected images using a synthetic aperture radar (SAR) device and an optical ADS40 sensor. Using images obtained from airborne surveys, a damage consequence chain was mapped that provided information about the type of damage and its extent. This proved to be of great help for rescue operations and after earthquake reconstructions. We present details of airborne survey, images and mapping of damages caused by the earthquake and the use of such information for a rescue operation.
C1 [Guo, Huadong; Ma, Jianwen; Zhang, Bing; Li, Zhen; Huang, Jun; Zhu, Lanwei] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences
RP Ma, JW (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100101, Peoples R China.
EM Jianwen@irsa.ac.cn
TC 9
Z9 9
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0143-1161
PY 2010
VL 31
IS 13
BP 3427
EP 3433
AR PII 924647636
DI 10.1080/01431161003727648
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000007
ER

PT J
AU Huang, RQ
   Li, WL
AF Huang, Runqiu
   Li, Weile
TI Post-earthquake landsliding and long-term impacts in the Wenchuan
   earthquake area, China
SO ENGINEERING GEOLOGY
DT Article
DE Wenchuan earthquake; Mianyuan River; Landslide activity; Long-term
   impact; Debris flow; Rainfall
ID RAINFALL-INDUCED LANDSLIDES; HAZARDS
AB The Ms 8.0 Wenchuan earthquake on May 12, 2008 triggered tens of thousands of landslides and produced large amounts of loose material. The loose material accumulated in gullies or on slopes provides abundant sources for the consequent debris flows, which will endanger resettled residents and destroy urban reconstruction. During the 5 years following the Wenchuan earthquake event, heavy rainfalls have already induced a great number of debris flows in the earthquake-damaged area, resulting in serious casualties and property losses. The coseismic landslides and the debris flows induced by rainfalls in the Mianyuan River basin are analyzed using multi-temporal remote sensing images. More than 2000 landslides were triggered and about 4.0 x 10(8) m(3) of loose material was generated in the Mianyuan River basin, and the volume of erodible material is 6.0 x 10(7) - 1.6 x 10(8) m(3). There were 1.27 x 10(7) m(3) of bed load sediments and 6.3 x 10(5) m(3) suspended load sediments transported into the river system in the past 5 years. The active mass movements will last for a long period in the Mianyuan River basin. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Huang, Runqiu; Li, Weile] Chengdu Univ Technol, State key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Li, WL (corresponding author), Chengdu Univ Technol, State key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM whylwl01@163.com
TC 155
Z9 170
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD NOV 19
PY 2014
VL 182
SI SI
BP 111
EP 120
DI 10.1016/j.enggeo.2014.07.008
PN B
SC Engineering; Geology
UT WOS:000347133600002
ER

PT J
AU Liu, Y
   Liu, RG
   Ge, QS
AF Liu, Yang
   Liu, Ronggao
   Ge, Quansheng
TI Evaluating the vegetation destruction and recovery of Wenchuan
   earthquake using MODIS data
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake; Vegetation degradation; Vegetation recovery; MODIS
ID DISTURBANCE; ECOSYSTEMS
AB The Ms 8.0 Wenchuan earthquake in 2008 has led to huge damage to land surface vegetation in northwest Sichuan, one of the typical ecological fragile regions in China. In this paper, the vegetation degradation by the earthquake and its recovery after the disaster are evaluated from analysis of MODIS Gross Primary Productivity (GPP) time series products and other ancillary GIS data. The results suggest that local vegetation GPP after the earthquake in the heavy afflicted area has decreased by 22%. The local vegetation productivity in the heavy afflicted area had recovered to 84 and 87% after 1 and 2 months later. Since August 2008, the vegetation productivity has increased to a nearly normal level.
C1 [Liu, Yang; Liu, Ronggao; Ge, Quansheng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Liu, Yang] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Liu, RG (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Datun Rd, Beijing 100101, Peoples R China.
EM liurg@lreis.ac.cn
TC 48
Z9 50
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD SEP
PY 2010
VL 54
IS 3
BP 851
EP 862
DI 10.1007/s11069-010-9511-z
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000281324200015
ER

PT J
AU Liu, F
   Yang, SH
AF Liu, Feng
   Yang, Shunhu
TI The effect of the Wenchuan earthquake on the fluvial morphology in the
   Longmen Shan, eastern Tibetan Plateau: Discussion and speculation
SO QUATERNARY INTERNATIONAL
DT Article
DE Co-seismic knickpoint; Landslide; Meandering migration rate; Channel
   morphology; Wenchuan earthquake
ID INDUCED LANDSLIDES; SURFACE RUPTURE; TACHIA RIVER; OBLIQUE; DEFORMATION;
   EVOLUTION; TYPHOONS; REVERSE; EROSION; SICHUAN
AB Although large earthquakes can have significant impacts on the geomorphology of mountain rivers, the consequences of such impacts remain poorly understood. The Ms 8.0 Wenchuan earthquake of 12 May 2008 created knickpoints (waterfalls) in the river systems of the Longmen Shan, eastern Tibet Plateau, in addition to numerous landslides along rivers. In this study, we use high-resolution remote sensing images and field surveys to examine how the Baisha and Jianjiang River channels responded to the Wenchuan earthquake. The morphological response along the Baisha River was a knickpoint, with a height of 4.5 m, which was studied from 2008 to 2012. However, the river did not show rapid incision via knickpoint migration during the post-earthquake period. In fact, post-seismic flooding destroyed the face of the co-seismic knickpoint. The rapid removal of the knickpoint suggests that the abrupt vertical displacement associated with the earthquake did not exceed the adjustment threshold of the fluvial dynamic equilibrium, and so was unable to drive rapid morphological change at the local scale. Along the Jianjiang River, the average meander migration rate of the Beichuan reach was -2.8 m/yr between 2001 and 2008, but increased to 51.1 m/yr during the five years following the 2008 Wenchuan earthquake. This rapid increase in the meander migration rate is attributed to excess sediment supplied to the river as a consequence of the earthquake. These two case studies indicate that the Wenchuan earthquake caused channel aggradation rather than a significant increase in river incision by locally generating relief across the river. (C) 2014 Elsevier Ltd and INQUA. All rights reserved.
C1 [Liu, Feng] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Yang, Shunhu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Geological Survey; Chinese Academy of Geological Sciences;
   Institute of Geomechanics, Chinese Academy of Geological Sciences;
   Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS
RP Liu, F (corresponding author), Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
EM casinsar@gmail.com
TC 10
Z9 11
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1040-6182
EI 1873-4553
PD JUN 12
PY 2015
VL 371
BP 280
EP 289
DI 10.1016/j.quaint.2014.09.021
SC Physical Geography; Geology
UT WOS:000355331700027
ER

PT J
AU Xu, C
   Xu, XW
   Yao, Q
   Wang, YY
AF Xu, Chong
   Xu, Xiwei
   Yao, Qi
   Wang, Yanying
TI GIS-based bivariate statistical modelling for earthquake-triggered
   landslides susceptibility mapping related to the 2008 Wenchuan
   earthquake, China
SO QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY
DT Article
ID SPATIAL PREDICTION MODELS; BHAGIRATHI GANGA VALLEY; SUPPORT VECTOR
   MACHINE; ROCK SLOPE STABILITY; HAZARD ZONATION; WEIGHTS; AREA; TURKEY;
   INSTABILITY; KOYULHISAR
AB The main purpose of this research is to evaluate the modelling capability and predictive power of a bivariate statistical method for earthquake-triggered landslide susceptibility mapping. A weight index (W-i) model was developed for the 2008 Wenchuan earthquake region in Sichuan Province, China, using a wide range of optical remote sensing data, and carried out on the basis of a geographic information system (GIS) platform. The 2008 Wenchuan earthquake triggered 196007 landslides, with a total area of 1150.43 km(2), in an approximately oblong area around the Yingxiu-Beichuan coseismic surface fault-rupture (the Yingxiu-Beichuan fault). The landslides of the study area were mapped using visual interpretation of high-resolution satellite images and aerial photographs, both pre-and post-earthquake, and checked in the field at various locations. As a consequence, a nearly complete inventory of landslides triggered by the Wenchuan earthquake was constructed. Topographic and geological data and earthquake-related information were collected, processed and constructed into a spatial database using GIS and image processing technologies. A total of 10 controlling parameters associated with the earthquake-triggered landslides were selected, including elevation, slope angle, slope aspect, slope curvature, slope position, lithology, seismic intensity, peak ground acceleration (PGA), distance from the Yingxiu-Beichuan fault, and distance along this fault. To assist with the development of the model, the complete dataset of 196007 landslides was randomly partitioned into two subsets; a training dataset, which contains 70% of the data (137204 landslides, with a total area of 809.96 km(2)), and a testing dataset accounting for 30% of the data (58803 landslides, with a total area of 340.47 km(2)). A landslide susceptibility index map was generated using the training dataset, the 10 impact factors, and the W-i model. In addition, for a conditionally dependent factor analysis, seven other factor-combination cases were also used to construct landslide susceptibility index maps. Finally, these eight landslide susceptibility maps were compared with the training data and testing data to obtain model capability (success rate) and predictive power (predictive rate) information. The validation results show that the success and predictive rates of the W-i modelling exceeded 90% for the approaches that include the use of seismic factors. The final landslide susceptibility map can be used to identify and delineate unstable susceptibility-prone areas, and help planners to choose favourable locations for development schemes, such as infrastructure, construction and environmental protection schemes. The generic component of this research would allow application in other regions affected by high-intensity earthquakes and unstable terrain covering very large areas.
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Yao, Qi] China Earthquake Networks Ctr, Beijing 100045, Peoples R China.
   [Wang, Yanying] NE Normal Univ, Sch Urban & Environm Sci, Changchun 130024, Jilin, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration; China Earthquake Networks Center, CEA;
   Northeast Normal University - China
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, POB 9803, Beijing 100029, Peoples R China.
EM xuchong@ies.ac.cn
TC 59
Z9 82
PU GEOLOGICAL SOC PUBL HOUSE
PI BATH
PA UNIT 7, BRASSMILL ENTERPRISE CENTRE, BRASSMILL LANE, BATH BA1 3JN, AVON,
   ENGLAND
SN 1470-9236
EI 2041-4803
PD MAY
PY 2013
VL 46
IS 2
BP 221
EP 236
DI 10.1144/qjegh2012-006
SC Engineering; Geology
UT WOS:000319199400009
ER

PT J
AU Long, YJ
   Li, WL
   Huang, RQ
   Xu, Q
   Yu, B
   Liu, G
AF Long, Yujie
   Li, Weile
   Huang, Runqiu
   Xu, Qiang
   Yu, Bin
   Liu, Gang
TI A Comparative Study of Supervised Classification Methods for
   Investigating Landslide Evolution in the Mianyuan River Basin, China
SO JOURNAL OF EARTH SCIENCE
DT Article
DE Wenchuan earthquake; Mianyuan River Basin; automatic detection;
   evolutionary trend; maximum likelihood method; random forest algorithm;
   engineering geology
ID 2008 WENCHUAN EARTHQUAKE; DEBRIS FLOWS; SPATIAL-DISTRIBUTION; AREA
AB The M-s 8.0 Wenchuan earthquake of 2008 dramatically changed the terrain surface and caused long-term increases in the scale and frequency of landslides and debris flows. The changing trend of landslides in the earthquake-affected area over the decade since the earthquake remains largely unknown. In this study, we were able to address this issue using supervised classification methods and multitemporal remote sensing images to study landslide evolution in the worst-affected area (Mianyuan River Basin) over a period of ten years. Satellite images were processed using the maximum likelihood method and random forest algorithm to automatically map landslide occurrence from 2007 to 2018. The principal findings are as follows: (1) when compared with visual image analysis, the random forest algorithm had a good average accuracy rate of 87% for landslide identification; (2) postevent landslide occurrence has generally decreased with time, but heavy monsoonal seasons have caused temporary spikes in activity; and (3) the postearthquake landslide activity in the Mianyuan River Basin can be divided into a strong activity period (2008 to 2011), medium activity period (2012 to 2016), and weak activity period (post 2017). Landslide activity remains above the prequake level, with damaging events being rare but continuing to occur. Long-term remote sensing and on-site monitoring are required to understand the evolution of landslide activity after strong earthquakes.
C1 [Long, Yujie; Li, Weile; Huang, Runqiu; Xu, Qiang; Yu, Bin; Liu, Gang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Long, Yujie] Sichuan Met Geol Survey & Design Grp Co Ltd, Chengdu 610081, Peoples R China.
   [Liu, Gang] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology
RP Li, WL (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM whylwl01@163.com
TC 25
Z9 26
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD APR
PY 2023
VL 34
IS 2
BP 316
EP 329
DI 10.1007/s12583-021-1525-9
SC Geology
UT WOS:000981674700004
ER

PT J
AU Li, C
   Yi, BJ
   Gao, P
   Li, H
   Sun, JX
   Chen, XY
   Zhong, C
AF Li, Chang
   Yi, Bangjin
   Gao, Peng
   Li, Hui
   Sun, Jixing
   Chen, Xueye
   Zhong, Cheng
TI Valuable Clues for DCNN-Based Landslide Detection from a Comparative
   Assessment in the Wenchuan Earthquake Area
SO SENSORS
DT Article
DE landslide detection; deep learning; Wenchuan earthquake; ResNet;
   DenseNet; U-Net
ID REMOTE-SENSING IMAGE; IDENTIFICATION
AB Landslide inventories could provide fundamental data for analyzing the causative factors and deformation mechanisms of landslide events. Considering that it is still hard to detect landslides automatically from remote sensing images, endeavors have been carried out to explore the potential of DCNNs on landslide detection, and obtained better performance than shallow machine learning methods. However, there is often confusion as to which structure, layer number, and sample size are better for a project. To fill this gap, this study conducted a comparative test on typical models for landside detection in the Wenchuan earthquake area, where about 200,000 secondary landslides were available. Multiple structures and layer numbers, including VGG16, VGG19, ResNet50, ResNet101, DenseNet120, DenseNet201, UNet-, UNet+, and ResUNet were investigated with different sample numbers (100, 1000, and 10,000). Results indicate that VGG models have the highest precision (about 0.9) but the lowest recall (below 0.76); ResNet models display the lowest precision (below 0.86) and a high recall (about 0.85); DenseNet models obtain moderate precision (below 0.88) and recall (about 0.8); while UNet+ also achieves moderate precision (0.8) and recall (0.84). Generally, a larger sample set can lead to better performance for VGG, ResNet, and DenseNet, and deeper layers could improve the detection results for ResNet and DenseNet. This study provides valuable clues for designing models' type, layers, and sample set, based on tests with a large number of samples.
C1 [Li, Chang; Zhong, Cheng] China Univ Geosci, Minist Educ, Three Gorges Res Ctr Geohazard, Wuhan 430074, Peoples R China.
   [Yi, Bangjin; Sun, Jixing] Yunnan Inst Geol Sci, Kuming 650051, Peoples R China.
   [Gao, Peng] Univ N Carolina, Dept Earth & Ocean Sci, Wilmington, NC 28403 USA.
   [Gao, Peng] Univ South Carolina, Dept Geog, 709 Bull St, Columbia, SC 29208 USA.
   [Li, Hui] China Univ Geosci, Sch Earth Sci, Wuhan 430074, Peoples R China.
   [Chen, Xueye] MNR, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518034, Peoples R China.
C3 China University of Geosciences; University of North Carolina;
   University of North Carolina Wilmington; University of South Carolina
   System; University of South Carolina Columbia; China University of
   Geosciences
RP Zhong, C (corresponding author), China Univ Geosci, Minist Educ, Three Gorges Res Ctr Geohazard, Wuhan 430074, Peoples R China.
EM lichang_net@cug.edu.cn; banglinyi@sina.com; gaop@mailbox.sc.edu;
   rslihui@cug.edu.cn; sunjixing8@gmail.com; xueyers@sina.com;
   zhonglxm@cug.edu.cn
TC 13
Z9 14
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
PD AUG
PY 2021
VL 21
IS 15
AR 5191
DI 10.3390/s21155191
SC Chemistry; Engineering; Instruments & Instrumentation
UT WOS:000682222300001
ER

PT J
AU Shan, XJ
   Li, YCA
   Wang, ZJ
   Yin, H
   Liu, XD
   Liu, YH
   Zhang, GH
   Zhang, YF
   Qu, CY
AF Shan, Xinjian
   Li, Yanchuan
   Wang, Zhenjie
   Yin, Hao
   Liu, Xiaodong
   Liu, Yunhua
   Zhang, Guohong
   Zhang, Yingfeng
   Qu, Chunyan
TI GNSS for Quasi-Real-Time Earthquake Source Determination in Eastern
   Tibet: A Prototype System toward Early Warning Applications
SO SEISMOLOGICAL RESEARCH LETTERS
DT Article
ID 2008 WENCHUAN EARTHQUAKE; CRUSTAL MOTION; DISPLACEMENT DATA; CHINESE
   MAINLAND; VELOCITY-FIELD; GPS DATA; FAULT; DEFORMATION; RUPTURE;
   TECTONICS
AB Active crustal deformation of the Tibetan plateau results in destructive continental earthquakes and is therefore the focus of intense research interest. Increases in the numbers of Global Navigation Satellite System (GNSS) networks and stations deployed in Tibet are allowing for the characterization of crustal deformation during different phases of the earthquake cycle. Here, we present the status of a "seismic + high-rate GNSS" network deployed in eastern Tibet, including its data streams and data processing system, with the goal of supporting quasi-real-time earthquake source determination. Furthermore, we use this network to test a prototype earthquake early warning (EEW) system using data from the 2008 M-w 7.9 Wenchuan earthquake, the 2011 M-w 9.0 Tohoku earthquake, and 2200 synthetic earthquakes with moment magnitudes ranging from 6.5 to 7.5 on the southern Longmen Shan fault and Anninghe fault. The results show that our current methodology could respond to moderate-to-large earthquakes (magnitude 7+) within tens of seconds after the origin time, with implications for EEW applications in China.
C1 [Shan, Xinjian; Li, Yanchuan; Yin, Hao; Liu, Xiaodong; Liu, Yunhua; Zhang, Guohong; Zhang, Yingfeng; Qu, Chunyan] China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing, Peoples R China.
   [Wang, Zhenjie] China Univ Petr East China, Coll Oceanog & Space Informat, Qingdao, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   University of Petroleum
RP Li, YCA (corresponding author), China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing, Peoples R China.
EM yanliupcc@gmail.com
TC 10
Z9 14
PU SEISMOLOGICAL SOC AMER
PI ALBANY
PA 400 EVELYN AVE, SUITE 201, ALBANY, CA 94706-1375 USA
SN 0895-0695
EI 1938-2057
PD SEP
PY 2021
VL 92
IS 5
BP 2988
EP 2997
DI 10.1785/0220190244
SC Geochemistry & Geophysics
UT WOS:000689696200002
ER

PT J
AU Tang, C
   Zhu, J
   Ding, J
   Cui, XF
   Chen, L
   Zhang, JS
AF Tang, Chuan
   Zhu, Jing
   Ding, Jun
   Cui, Xiaofei
   Chen, Lei
   Zhang, Jianshi
TI Catastrophic debris flows triggered by a 14 August 2010 rainfall at the
   epicenter of the Wenchuan earthquake
SO LANDSLIDES
DT Article
DE Debris flows; Intense rainfall; Seismic landslides; Basin topography;
   Debris dam; Wenchuan earthquake China
ID CHI-CHI-EARTHQUAKE; INDUCED LANDSLIDES; MOUNTAIN; IMPACTS; THRESHOLDS;
   PREDICTION; MAGNITUDE; FREQUENCY; RATES
AB The Wenchuan earthquake of May 12, 2008 produced large amounts of loose material (landslide debris) that are still present on the steep slopes and in the gullies. This loose material creates an important hazard as strong rainfall can cause the development of devastating debris flows that will endanger the resettled population and destroy the result of reconstruction efforts. On 14 August 2010, a total of 21 debris flows were triggered by heavy rainfall around the town of Yingxue, located near the epicenter of the Wenchuan earthquake. One of these debris flows produced a debris dam, which then changed the course of the river and resulted in the flooding of the newly reconstructed Yinxue town. Prior to this catastrophic event, debris flow hazard had been recognized in the region, but its potential for such widespread and devastating impacts was not fully appreciated. Our primary objective for this study was to analyze the characteristics of the triggering rainfall and the sediment supply conditions leading to this event. Our field observations show that even small debris flow catchment areas have caused widespread sediment deposition on the existing fans. It is concluded that the whole of the area shaken by the Wenchuan earthquake is more susceptible to debris flows, initiated by localized heavy rainfall, than had been assumed earlier. The results of this study contribute to a better understanding of the conditions leading to catastrophic debris flow events in the earthquake-hit area. This is essential for the implementation of proper early warning, prevention, and mitigation measures as well as a better land use planning in this area.
C1 [Tang, Chuan; Zhu, Jing; Ding, Jun; Cui, Xiaofei; Chen, Lei; Zhang, Jianshi] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM tangc@cdut.edu.cn
TC 195
Z9 232
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2011
VL 8
IS 4
BP 485
EP 497
DI 10.1007/s10346-011-0269-5
SC Engineering; Geology
UT WOS:000297595500006
ER

PT J
AU Wang, L
   Chang, M
   Le, J
   Xiang, LL
   Ni, Z
AF Wang, Lei
   Chang, Ming
   Le, Jian
   Xiang, Lanlan
   Ni, Zhang
TI Two multi-temporal datasets to track debris flow after the 2008 Wenchuan
   earthquake
SO SCIENTIFIC DATA
DT Article; Data Paper
ID CHI-CHI EARTHQUAKE; 13 AUGUST 2010; INDUCED LANDSLIDES; AREA; SEDIMENT;
   IMPACT; EVOLUTION; MODEL; THRESHOLD; FAULT
AB We provide two datasets for tracking the debris flow induced by the 2008 Wenchuan Mw 7.9 earthquake on a section of the Longmen mountains on the eastern side of the Tibetan plateau (Sichuan, China). The database was obtained through a literature review and field survey reports in the epicenter area, combined with high-resolution remote sensing image and extensive data collection and processing. The first dataset covers an area of 892 km(2), including debris flows from 2008 to 2020 (an updated version). 186 debris flows affecting 79 watersheds were identified. 89 rainfall stations were collected to determine the rainfall events for the post-earthquake debris flow outbreak. The second database is a list of mitigation measures for post-earthquake debris flows, including catchment name, check dam number, coordinates, construction time, and successful mitigation date. The datasets can aid different applications, including the early warning and engineering prevention of post-earthquake debris flow, as well as provide valuable data support for research in related disciplines.
C1 [Wang, Lei; Chang, Ming; Xiang, Lanlan; Ni, Zhang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu 610059, Peoples R China.
   [Wang, Lei; Le, Jian] Sichuan Xingshu Engn Survey & Design Grp CO LTD, Chengdu 610072, Peoples R China.
C3 Chengdu University of Technology
RP Chang, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu 610059, Peoples R China.
EM changmxq@126.com
TC 17
Z9 18
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
EI 2052-4463
PD AUG 27
PY 2022
VL 9
IS 1
AR 525
DI 10.1038/s41597-022-01658-y
SC Science & Technology - Other Topics
UT WOS:000846233000006
ER

PT J
AU Liu, F
   Li, JF
   Yang, SH
AF Liu, Feng
   Li, Jianfeng
   Yang, Shunhu
TI Landslide erosion associated with the Wenchuan earthquake in the
   Minjiang River watershed: Implication for landscape evolution of the
   Longmen Shan, eastern Tibetan Plateau
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake; Landslide; Surface erosion; Landscape evolution;
   Minjiang River; Longmen Shan
ID SURFACE RUPTURE; MOUNTAIN BELT; FAULT ZONE; SICHUAN; SLIP; SEDIMENT;
   OBLIQUE; UPLIFT; MASS; INFERENCES
AB In tectonically active mountain belts, earthquakes can contribute to surface erosion by generating large-scale landslides. This study focuses on establishing the relationship between surface erosion caused by the earthquake-induced landslides and landscape evolution of the Longmen Shan, eastern Tibet Plateau. The inventory of landslides related to the 2008 Wenchuan earthquake in the Minjiang River watershed was based on high-resolution remote sensing images and field surveys. The estimated landslide erosion rate related to the Wenchuan earthquake is of the order 0.4-0.6 mm year(-1) on both sides of the Minjiang River and its tributaries. This erosion is similar to erosion rates of 0.5-0.8 mm year(-1) measured by low-temperature thermochronology over a Myr-timescale. The landslides associated with repeated large earthquakes may contribute to this Myr-timescale surface erosion via enhanced erosion efficiency. Post-seismic high-resolution digital elevation models covering the period from 2008 and 2012 were compared to quantify fluvial erosion in the Baisha River, a tributary of the Minjiang River. The volume of eroded materials was approximately 1.9 x 10(4) m(3) over the 4-year period. In addition, the rapid removal of co-seismic knickpoints indicates significant post-seismic river transportation. If large earthquakes, such as the Wenchuan earthquake, have occurred at intervals of 2,000-3,000 years, then the associated rapid landslide erosion together with fluvial erosion during inter-seismic intervals may have played an important role in shaping the present landscape of the Longmen Shan.
C1 [Liu, Feng; Li, Jianfeng] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Yang, Shunhu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Geological Survey; Institute of Geomechanics, Chinese Academy of
   Geological Sciences; Chinese Academy of Geological Sciences; Chinese
   Academy of Sciences; Institute of Geology & Geophysics, CAS
RP Liu, F (corresponding author), Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
EM casinsar@gmail.com
TC 18
Z9 19
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD APR
PY 2015
VL 76
IS 3
BP 1911
EP 1926
DI 10.1007/s11069-014-1575-8
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000350663100023
ER

PT J
AU Peng, CY
   Yang, JS
   Zheng, Y
   Jiang, XD
   Xu, ZQ
   Gao, Y
AF Peng ChaoYong
   Yang JianSi
   Zheng Yu
   Jiang XuDong
   Xu ZhiQiang
   Gao Yu
TI A τ c magnitude estimation of the 20 April 2013
   Lushan earthquake, Sichuan, China
SO SCIENCE CHINA-EARTH SCIENCES
DT Article
DE earthquake early warning systems; tau(c) method; Lushan earthquake;
   magnitude
ID EARLY-WARNING PARAMETERS; WENCHUAN EARTHQUAKE; WESTERN SICHUAN; SYSTEM;
   RELOCATION
AB A crucial part of proposed earthquake early warning systems is a rapid estimate for earthquake magnitude. Most of these methods are focused on the first part of the P-wave train, the earlier and less destructive part of the ground motion that follows an earthquake. A method has been proposed by using the period of the P-wave to determine the magnitude of a large earthquake at local distance, and a specific relation for the Sichuan region was calibrated according to acceleration records of Wenchuan earthquake. The M (w) 6.6 earthquake hit Lushan County, Sichuan, on April 20, 2013 and the largest aftershocks provide a useful dataset to validate the proposed relation and discuss the risks connected to the extrapolation of magnitude relations with a poor dataset of large earthquake waveforms. A discrepancy between the local magnitude (M (L)) estimated by means of tau (c) evaluation and the standard M (L) (6.4 vs. 7.0) suggests using caution when M (L) vs. tau (c) calibrations do not include a relevant dataset of large earthquakes. Effects from large residuals could be mitigated or removed by introducing selection rules on tau (c) function, by regionalizing the M (L) vs. tau (c) function in the presence of significant tectonic or geological heterogeneity, and by using probabilistic and evolutionary methods.
C1 [Peng ChaoYong; Yang JianSi; Zheng Yu; Jiang XuDong; Xu ZhiQiang; Gao Yu] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA
RP Xu, ZQ (corresponding author), China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
EM xuzhiqiang@cea-igp.ac.cn
TC 4
Z9 9
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1674-7313
EI 1869-1897
PD DEC
PY 2014
VL 57
IS 12
BP 3118
EP 3124
DI 10.1007/s11430-014-4971-8
SC Geology
UT WOS:000346170700023
ER

PT J
AU Wang, J
   Yu, Y
   Pan, HL
   Qiao, C
   Ou, GQ
AF Wang Jun
   Yu Yan
   Pan Hua-li
   Qiao Cheng
   Ou Guo-qiang
TI Debris flow formation process and critical hydrodynamic conditions in
   the meizoseismal area of the Wenchuan earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan Earthquake; Debris flow; Disaster-prone environment;
   Permeability characteristics; Hydrodynamic condition
AB The Wenchuan earthquake generated strong surface disturbances and triggered a large number of loose deposits, resulting in the disaster-prone environment with special watershed hydrological characteristics. This paper was to propose a debris flow formation process and explore the permeability characteristics and critical hydrodynamic conditions of the loose deposits triggered by the earthquake. The Guo Juanyan gully (31A degrees 05'27aEuro(3) N to 31A degrees 05'46aEuro(3) N, 103A degrees 36'58aEuro(3) E to 103A degrees 37'09aEuro(3) E) in Du Jiangyan City, located in the meizoseismal areas of the Wenchuan earthquake, was chosen as the study area and the disaster-prone environment was analyzed. The formation process of the debris flow was first proposed using a stability analysis, and then, the permeability characteristics of loose deposits were determined via in situ permeability experiments. Finally, the critical 1 h rainfall was simulated through a distributed hydrological model and verified by field observations. The formation process of debris flow could be divided into three stages based on the relationship between the hydrodynamic force and loose deposit resistance. The critical 1 h rainfall amounts under three antecedent moisture conditions (I-dry, II-normal and Ill-wet) were 52 mm/h, 43 mm/h and 34 mm/h, respectively. This study proposed a debris flow formation process in the meizoseismal areas of the Wenchuan earthquake based on the stability analysis and defined the rainfall threshold for debris flow early warning at the local level, which is significant for debris flow mitigation and risk management.
C1 [Wang Jun; Yu Yan; Pan Hua-li; Qiao Cheng; Ou Guo-qiang] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Wang Jun; Yu Yan; Pan Hua-li; Qiao Cheng; Ou Guo-qiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Wang Jun; Yu Yan; Qiao Cheng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Pan, HL (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM wangjun210@mails.ucas.ac.cn; yuyan19880915@163.com; hlpan@imde.ac.cn;
   qiaoch@yeah.net; ougq@imde.ac.cn
TC 6
Z9 12
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD MAY
PY 2015
VL 12
IS 3
BP 699
EP 710
DI 10.1007/s11629-014-3370-0
SC Environmental Sciences & Ecology
UT WOS:000355429000016
ER

PT J
AU Gong, JH
   Wang, DC
   Li, Y
   Zhang, LH
   Yue, YJ
   Zhou, JP
   Song, YQ
AF Gong, Jianhua
   Wang, Dongchuan
   Li, Yi
   Zhang, Lihui
   Yue, Yujuan
   Zhou, Jieping
   Song, Yiquan
TI Earthquake-induced geological hazards detection under hierarchical
   stripping classification framework in the Beichuan area
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Geological hazards; Image fusion; CBERS-02B; HSC
   framework; UAV
ID WENCHUAN EARTHQUAKE; LANDSLIDES; TAIWAN; CHINA
AB The Wenchuan earthquake-induced geological hazards, such as rock falls, landslides, and debris flows, caused as much damage as the earthquake itself. In the complicated environment of the disaster area, seldom can a single remotely sensed imagery and a single classification method meet the needs of the interpretation task. In this paper, taking the Beichuan area as an example, the hierarchical stripping classification (HSC) framework, supported by human-computer interactive interpretation, was applied to tackle the problems caused by the earthquake, as well as the local complicated landform and weather environments. Different classification tools were used to detect specific objects under the HSC framework. Multi-source and multi-temporal data from satellite remote sensors (mainly CBERS-02B charge-coupled device and HR images), unmanned aerial vehicles (UAV), digital elevation model, and other auxiliary sources were utilized to detect the distribution of geological hazards. The classification results were compared with that of an overall supervised classification. The results show that the HSC framework and the related methods are effective and work well in the study area.
C1 [Gong, Jianhua; Wang, Dongchuan; Li, Yi; Zhang, Lihui; Yue, Yujuan; Zhou, Jieping; Song, Yiquan] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
   [Wang, Dongchuan; Zhang, Lihui] Tianjin Inst Urban Construct, Tianjin 30084, Peoples R China.
C3 Chinese Academy of Sciences; Tianjin Chengjian University
RP Wang, DC (corresponding author), Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
EM mrwangdc@126.com
TC 28
Z9 29
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
PD JUN
PY 2010
VL 7
IS 2
BP 181
EP 189
DI 10.1007/s10346-010-0201-4
SC Engineering; Geology
UT WOS:000278095300008
ER

PT J
AU Liu, QA
   Ruan, XJ
   Shi, PL
AF Liu, Qiang
   Ruan, Xuejing
   Shi, Pilong
TI Selection of emergency shelter sites for seismic disasters in
   mountainous regions: Lessons from the 2008 Wenchuan Ms 8.0 Earthquake,
   China
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article; Proceedings Paper
CT 13th Gondwana Conference on Wenchuan Earthquake
CY SEP 03-05, 2008
CL Dali, PEOPLES R CHINA
DE Emergency shelter; Earthquake hazard; Disaster mitigation;
   Site-selection principles; Risk management
ID BEICHUAN COUNTY; PROVINCE; TOWN
AB In this paper, we use the 12 May 2008 Wenchuan Earthquake as a background event for analyzing and applying the principles of site selection of emergency shelters for a disastrous earthquake. Based on field investigations and analyses of remote sensing imagery, we identified the distribution of active faults and the locations of co-seismic surface rupture zones areas in which buildings are at risk of intensive damage. It is important that emergency shelters are located outside of such vulnerable areas. One of the lessons learned from the Wenchuan Earthquake is that high fatality rates occur in areas without life-saving shelters. The principles that underlie the selection of emergency shelter sites are as follows: (1) keep far away from active fault zones, with the distance depending on the characteristics of the fault, including the nature of hangingwall and footwall structures; (2) disaster-mitigation strategies should be developed as a multi-dimensional system for the management of natural hazards, human activities, and urban expansion, involving keeping away from vulnerable slopes and establishing an early-warning system; (3) the accessibility of mountainous regions must be considered, including establishing small emergency shelters that house large numbers of people and covering regions with an uneven distribution of villages; and (4) government and law-making agencies in China must establish new earthquake design codes for buildings, emphasizing the importance of public facilities (including schools, collective welfare institutions, and medical facilities) as emergency shelters during disastrous earthquakes. The site-selection process requires an interdisciplinary approach involving seismologists, engineers, environmental and social scientists, emergency management personnel, and government officials. The parameters upon which the above principles are based can be qualitatively determined, thereby providing a valuable initial database for further quantitative analysis. The preliminary results and knowledge gained in the present paper can be used as a decision-making tool to support the government in earthquake-recovery and reconstruction programs. We also discuss practical examples of site evaluation in regions that suffered heavy damage during the Wenchuan Earthquake. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Liu, Qiang; Shi, Pilong] Chinese Acad Sci, Key Lab Engn Geomech, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Liu, Qiang; Ruan, Xuejing] Ocean Univ China, Qingdao 266100, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   Ocean University of China
RP Liu, QA (corresponding author), Chinese Acad Sci, Key Lab Engn Geomech, Inst Geol & Geophys, Beijing 100029, Peoples R China.
EM liuqiang@ouc.edu.cn
TC 82
Z9 101
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
PD MAR 3
PY 2011
VL 40
IS 4
SI SI
BP 926
EP 934
DI 10.1016/j.jseaes.2010.07.014
SC Geology
UT WOS:000287950800012
ER

PT J
AU Wang, C
   Zhang, H
   Wu, F
   Zhang, B
   Tang, YX
   Wu, HA
   Wen, XY
   Yan, DM
AF Wang, Chao
   Zhang, Hong
   Wu, Fan
   Zhang, Bo
   Tang, Yixian
   Wu, Hongan
   Wen, Xiaoyang
   Yan, Dongmei
TI Disaster phenomena of Wenchuan earthquake in high resolution airborne
   synthetic aperture radar images
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE Wenchuan Earthquake; High Resolution SAR; SAR Simulation; Damage
   Assessment
AB The devastating Wenchuan Earthquake occurred in Sichuan Province, Southwestern China, with a magnitude of 8.0 on May 12, 2008. Most buildings along the seismic zone were ruined, resulting in infrastructure damage to factories, traffic facilities and power supplies. The earthquake also triggered geological disasters, such as landslides, debris flow, landslide lakes, etc. During the rescue campaign the remote sensing aircrafts of the Chinese Academy of Sciences (CAS), equipped with synthetic aperture radar (SAR) and optical sensors, flew over the disaster area and acquired many high resolution airborne SAR images. We first describe the basic characteristics of SAR imagery. The SAR images of buildings are simulated, and the backscattering mechanism of the buildings is analyzed. Finally, the various disaster phenomena are described and analyzed in the high resolution airborne SAR images. It is shown that certain phenomena of ruins could be identified clearly in high resolution SAR images in proper imaging conditions, while the functional destruction is quite difficult to detect. With calibrated data, the polarmetric SAR interferometry could be used to analyze the scattering mechanism and 3D distribution of the scattering center, which are redound to earthquake damage assessment.
C1 [Wang, Chao; Zhang, Hong; Wu, Fan; Zhang, Bo; Tang, Yixian; Wu, Hongan; Wen, Xiaoyang; Yan, Dongmei] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100086, Peoples R China.
C3 Chinese Academy of Sciences
RP Wang, C (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100086, Peoples R China.
EM cwang@ceode.ac.cn; zhangh61@sina.com; fwu@ceode.ac.cn;
   bozhang@ceode.ac.cn; tang_yx@msn.com; wha_105@yahoo.com.cn;
   wenxyg@gmail.com; dmyan@ceode.ac.cn
TC 23
Z9 26
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031690
DI 10.1117/1.3154558
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700012
ER

PT J
AU Bai, SB
   Wang, J
   Zhang, ZG
   Cheng, C
AF Bai, Shibiao
   Wang, Jian
   Zhang, Zhigang
   Cheng, Chen
TI Combined landslide susceptibility mapping after Wenchuan earthquake at
   the Zhouqu segment in the Bailongjiang Basin, China
SO CATENA
DT Article
DE Landslide susceptibility; Wenchuan earthquake; Multi-temporal
   landslides; Zhouqu to Wudu segment; China
ID LOGISTIC-REGRESSION; HAZARD; GIS; MODELS; ISLAND
AB In this study, two separate landslide susceptibility maps using multi-temporal landslide and Wenchuan earthquake triggered landslide datasets were carried out based on GIS and logistic regression model at Zhouqu segment in the Bailongjiang Basin in North-western China. This region has already been strongly affected by landslides for a long time, and numerous additional slope failures were triggered by the 2008 Wenchuan earthquake. The data used for this study consists of two landslide inventories, of which the first lists historical landslides and the latter contains only slope failures attributed to the 2008 earthquake. Additional data sources include landslide causative factor such as a digital elevation model (DEM) with a 30x30 m(2) resolution, orthophotos, geological and land-use maps, precipitation records and information on peak ground acceleration data from the 2008 earthquake. The comparison of the two computed maps shows that susceptibility classes are consistent for over 58% of study area. Changes of one or more classes were observed for approximately 36% and 6%, respectively. Finally, both susceptibility maps were combined to describe the maximum likelihood of landslide occurrences. The overall high prediction rates of the calculated susceptibility maps make them an ideal basis for the use within regional spatial planning as well as for the organization of emergency actions by local authorities. (C) 2012 Elsevier B.V. All rights reserved.
C1 [Bai, Shibiao; Wang, Jian; Zhang, Zhigang; Cheng, Chen] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Coll Geog Sci, Nanjing 210046, Jiangsu, Peoples R China.
C3 Nanjing Normal University
RP Bai, SB (corresponding author), Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Coll Geog Sci, Nanjing 210046, Jiangsu, Peoples R China.
EM shibiaobai@njnu.edu.cn
TC 90
Z9 103
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD DEC
PY 2012
VL 99
BP 18
EP 25
DI 10.1016/j.catena.2012.06.012
SC Geology; Agriculture; Water Resources
UT WOS:000308973900003
ER

PT J
AU Fan, XT
   Du, XP
   Tan, J
   Zhu, JJ
AF Fan, Xiangtao
   Du, Xiaoping
   Tan, Jian
   Zhu, Junjie
TI Three-dimensional visualization simulation assessment system based on
   multi-source data fusion for the Wenchuan earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE Wenchuan earthquake; multi-source data fusion; multi-resolution;
   three-dimensional visualization
AB We have developed a visual three-dimensional simulation and assessment system of the Wenchuan earthquake zone using the Digital Earth concept and highly efficient spatial information visualization technology. Our goal is to provide a foundation for earthquake disaster relief and reconstruction. A number of major collapses, landslides, mud-rock flows and other geological disasters are analysed in the system, and the system can be used to monitor and analyse earthquake relief, rescue and insurance to provide first-hand source material for disaster situation assessment. Multi-sensor, multi-temporal, multi-resolution remote sensing data and multi-scale DEM data are integrated into this system, and produce a sequence of comprehensive resolution datasets. We present management methods for a dynamic multi-resolution terrain model and multi-level scene. These methods are based on the model division, delaminating algorithm, and make use of high-speed buffering mechanisms to achieve a multi-level large-scale real-time rendering of scenes in the disaster areas, which also effectively reduces the rendering delay, and achieves smooth, seamless roaming at different model levels.
C1 [Fan, Xiangtao; Du, Xiaoping; Tan, Jian; Zhu, Junjie] Chinese Acad Sci, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences
RP Fan, XT (corresponding author), Chinese Acad Sci, Beijing 100101, Peoples R China.
EM xtfan@ceode.ac.cn
TC 6
Z9 7
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031640
DI 10.1117/1.3154425
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700002
ER

PT J
AU Zhang, S
   Peng, JY
   Zhang, MP
   Chen, YB
   Han, YY
   Su, CX
   Zhuang, DY
AF Zhang, S.
   Peng, J. Y.
   Zhang, M. P.
   Chen, Y. B.
   Han, Y. Y.
   Su, C. X.
   Zhuang, D. Y.
TI Evolution of debris flow activities in the epicentral area, 10 years
   after the 2008 Wenchuan earthquake
SO ENGINEERING GEOLOGY
DT Article
DE Landslide; Debris flow; Risk; Wenchuan earthquake; Long-term evolution
ID CHI-CHI-EARTHQUAKE; INDUCED LANDSLIDES; VEGETATION RECOVERY;
   SOIL-EROSION; LOMA-PRIETA; IMPACTS
AB The occurrence of debris flows after the earthquake not only damaged infrastructure but also caused large numbers of casualties. Analyzing the evolution of debris flows after the Wenchuan earthquake is significant for understanding the long-term impacts of the earthquake on the subsequent debris flow activities. This study made a continuous track of mass movements of loose deposits in all debris flow gullies from 2008 to 2018 along Provincial Road 303 (PR303) after the Wenchuan earthquake according to remote sensing images interpretation and field investigations. Four aspects, i.e. vegetation recovery, source materials, runout characteristics, and human activities were analysed to describe the evolution laws based on the 10-year inventory of debris flows. The loose deposits on the hillslope were found to be gradually transported into channels. A declining trend of mass transport rate from 2010 (24.5%) to 2018 (6.5%) was found. The occurrence frequency, magnitude, and mobility of debris flows were found to decrease. Recovery of vegetation made the loose deposits stable, whereas human activities of excavation of debris flows deposits promoted the occurrence of landslides. Three stages were divided for debris flows activities: the active period (2010-2014), the unstable period (2014-2017), and the recession period (after 2017). The decreasing trend of debris flows in the future is predicted.
C1 [Zhang, S.; Peng, J. Y.; Zhang, M. P.; Chen, Y. B.; Han, Y. Y.; Su, C. X.; Zhuang, D. Y.] Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Yuhangtang Rd 866, Hangzhou 310058, Peoples R China.
C3 Zhejiang University
RP Zhuang, DY (corresponding author), Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Yuhangtang Rd 866, Hangzhou 310058, Peoples R China.
EM zhuangdy@zju.edu.cn
TC 10
Z9 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JUN 20
PY 2023
VL 319
AR 107118
DI 10.1016/j.enggeo.2023.107118
EA APR 2023
SC Engineering; Geology
UT WOS:001053953500001
ER

PT J
AU Xiang, MS
   Deng, QC
   Duan, LS
   Yang, J
   Wang, CJ
   Liu, JS
   Liu, ML
AF Xiang, Mingshun
   Deng, Qiuchi
   Duan, Linsen
   Yang, Jin
   Wang, Chunjian
   Liu, Jiashuo
   Liu, Mengli
TI Dynamic monitoring and analysis of the earthquake Worst-hit area based
   on remote sensing
SO ALEXANDRIA ENGINEERING JOURNAL
DT Article
DE Vegetation coverage; Vegetation index; Earthquake; Remote sensing;
   Eco-environment
ID FRACTIONAL VEGETATION COVER; WENCHUAN EARTHQUAKE; MODIS DATA; INDEX;
   LANDSLIDES; RIVER
AB The earthquake and its secondary geological disasters have some long-term effects on vegetation recovery, and the spatiotemporal differentiation of vegetation coverage in earthquake stricken areas are often not valued by researchers. Beichuan County in Sichuan Province is the worst-hit area during Wenchuan earthquake, tracking the vegetation coverage in this disaster area can provide feedback for post-earthquake ecological restoration. Based on remote sensing (RS) and Geographic information system (GIS), this paper relies on dimidiate pixel model (DPM) and vegetation coverage transfer matrix to explore the vegetation coverage of the earthquake worst-hit area. The results show that the overall level of vegetation coverage in Beichuan county is high, and earthquakes are dominant in the areas with high vegetation coverage. Besides, earthquake can do most severe damages to the areas with high vegetation coverage, followed by medium damage impacting to the areas with medium vegetation coverage, but the damage of other areas are relatively small. From 2007 to 2020, the average vegetation coverage in Beichuan County decreased from 0.835 in 2007 to 0.755 in 2008, then gradually recovered to 0.826 in 2020, experiencing a sharp decline and then a steady increase. The recovery of vegetation coverage is improved over time, but the spatiotemporal differences of the recovery process are obvious. Elevation has the largest driving force on vegetation coverage (q = 0.569, p less than 0.001), followed by temperature and rainfall; the interaction between factors has a significant increasement in the spatial differentiation of vegetation coverage, indicating that vegetation coverage is a combination result of multiple factors. The research findings can help construct the scientific management of the eco-environment in the disaster area, it can also help builda medium to long-term ecological restoration plan according to the variation in vegetation coverage.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
C1 [Xiang, Mingshun; Duan, Linsen; Yang, Jin; Wang, Chunjian; Liu, Jiashuo; Liu, Mengli] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China.
   [Xiang, Mingshun; Yang, Jin; Wang, Chunjian] Chengdu Univ Technol, Res Ctr Human Geog Tibetan Plateau & Its Eastern, Chengdu 610059, Peoples R China.
   [Deng, Qiuchi] South China Normal Univ, Sch Geog, Guangzhou 510631, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology;
   South China Normal University
RP Duan, LS (corresponding author), Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China.
EM dlinsen868@163.com
TC 16
Z9 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1110-0168
EI 2090-2670
PD NOV
PY 2022
VL 61
IS 11
BP 8691
EP 8702
DI 10.1016/j.aej.2022.02.001
EA FEB 2022
SC Engineering
UT WOS:000806224800001
ER

PT J
AU Feng, T
   Hong, Z
   Fu, Q
   Ma, S
   Jie, X
   Wu, H
   Jiang, C
   Tong, X
AF Feng, T.
   Hong, Z.
   Fu, Q.
   Ma, S.
   Jie, X.
   Wu, H.
   Jiang, C.
   Tong, X.
TI Application and prospect of a high-resolution remote sensing and
   geo-information system in estimating earthquake casualties
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID BUILDING DAMAGE ASSESSMENT; YUSHU EARTHQUAKE; COLLAPSED BUILDINGS; GIS;
   LANDSCAN; IMAGERY; CENSUS
AB An accurate estimation of a casualty rate is critical in response to earthquake disasters, and could allow an increase in the survival rate. Building damage is considered to be a major cause of earthquake casualties in developing countries. High-resolution satellite imagery (HRSI) can be used to detect the building damage in a period of a short time. This makes it possible to use a model to estimate earthquake casualties immediately after the occurrence of an earthquake. With respect to the capability of HRSI, this study built a new model for estimating the casualty rate in an earthquake disaster based on remote sensing and a geographical information system. Three groups of earthquake data, the 2003 Bam earthquake, the 2008 Wenchuan earthquake, and the 2010 Yushu earthquake, were used to evaluate this model. The results indicated that our new model significantly improved the accuracy in predicting the casualty rate. The parameters used in the model vary between developed and developing countries. This study could provide valuable information for a more efficient rescue operation in response to earthquakes.
C1 [Feng, T.; Wu, H.] Tongji Univ, Sch Life Sci & Technol, Shanghai 200092, Peoples R China.
   [Feng, T.; Ma, S.; Jie, X.; Jiang, C.] Tongji Univ, Eastern Hosp, Dept Disaster & Emergency Med, Sch Med, Shanghai 200120, Peoples R China.
   [Hong, Z.; Tong, X.] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China.
   [Fu, Q.] Tongji Univ, Coll Civil Engn, Res Inst Struct Engn & Disaster Reduct, Shanghai 200092, Peoples R China.
   [Hong, Z.] Shanghai Ocean Univ, Coll Informat technol, Shanghai 201306, Peoples R China.
C3 Tongji University; Tongji University; Tongji University; Tongji
   University; Shanghai Ocean University
RP Jiang, C (corresponding author), Tongji Univ, Eastern Hosp, Dept Disaster & Emergency Med, Sch Med, 150 Jimo Rd, Shanghai 200120, Peoples R China.
EM jch@tongji.edu.cn; xhtong@tongji.edu.cn
TC 15
Z9 16
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PY 2014
VL 14
IS 8
BP 2165
EP 2178
DI 10.5194/nhess-14-2165-2014
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000341596300020
ER

PT J
AU Tang, C
   Zhu, J
   Liang, JT
AF Tang Chuan
   Zhu Jing
   Liang Jingtao
TI Emergency assessment of seismic landslide susceptibility: a case study
   of the 2008 Wenchuan earthquake affected area
SO EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION
DT Article
DE landslide; susceptibility; GIS; Wenchuan earthquake; Qingchuan area
ID REGION
AB The 8.0 M (w) Wenchuan earthquake triggered widespread and large scale landslides in mountainous regions. An approach was used to map and assess landslide susceptibility in a given area. A numerical rating system was applied to five factors that contribute to slope instability. Factors such as lithology, topography, streams and faults have an important influence as event-controlling factors for landslide susceptibility assessment. A final map is provided to show areas of low, medium, and high landslide susceptibility. Areas identified as having high landslide susceptibility were located in the central, northeastern, and far south regions of the study area. The assessment results will help decision makers to select safe sites for emergency placement of refuges and plan for future reconstruction. The maps may also be used as a basis for landslide risk management in the study area.
C1 [Tang Chuan; Zhu Jing; Liang Jingtao] Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Peoples R China.
EM tangc707@gmail.com
TC 29
Z9 35
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1671-3664
EI 1993-503X
PD JUN
PY 2009
VL 8
IS 2
BP 207
EP 217
DI 10.1007/s11803-009-9025-4
SC Engineering
UT WOS:000267485500004
ER

PT J
AU Guo, BY
   Subrahmanyam, MV
   Li, AG
   Liu, GZ
AF Guo, Biyun
   Subrahmanyam, Mantravadi Venkata
   Li, Aiguo
   Liu, Guangzhe
TI Application of Remote Sensing Technology to Monitoring of Vegetation
   Recovery and Regional Precipitation in Wenchuan Earthquake Area: Case
   Study of Longxi River Basin
SO SENSORS AND MATERIALS
DT Article
DE precipitation; earthquake; normalized difference vegetation index
   (NDVI); vegetation coverage; remote sensing
ID AMAZONIAN DEFORESTATION; SUMMER PRECIPITATION; SENSITIVITY; SIMULATION;
   HAZARDS; IMPACT; COVER; MODEL; LAND
AB The Wenchuan earthquake occurred in Sichuan Province, China, on May 12, 2008, and caused a large number of secondary geological disasters such as collapses, debris flows, and landslides, as well as extensive damage to local vegetation. The earthquake had an impact on the regional climate, seriously affecting the sustainable development of the regional environment and economy. In this study, the normalized difference vegetation index (NDVI) was used to characterize the vegetation status, which was calculated from images acquired by the MODIS sensor. Based on the vegetation cover and precipitation of the area affected by the Wenchuan earthquake over about 70 years, in this paper we analyze the characteristics of vegetation changes and their impact on the climate after the earthquake. The results revealed that the above secondary geological disasters caused by the earthquake destroyed vegetation. After the earthquake, NDVI decreased from 0.394 in 2007 to 0.383 on July 1, 2008, and then increased year by year to 0.413 in 2015, except in 2010. During the two years after the earthquake, several large-scale debris flows occurred in this area, damaging the surface vegetation, so the vegetation coverage was low in 2010. The change of the land cover has an indirect impact on the local precipitation. The annual and seasonal (except winter) precipitation trended downward from 1948 to 2018, with an annual average decrease of 1.6069 mm, but trended upward from 2008 to 2018, with an annual average increase of 14.012 mm, after the Wenchuan earthquake, indicating the recovery of vegetation. The increased vegetation promoted regional precipitation, but the interaction mechanism between the vegetation cover and the precipitation is complex. The effect of the vegetation differs in different regions and cannot be generalized. This study provides theoretical support for vegetation restoration and environmental management in areas with strong earthquakes.
C1 [Guo, Biyun; Subrahmanyam, Mantravadi Venkata] Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316022, Zhejiang, Peoples R China.
   [Guo, Biyun] Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China.
   [Li, Aiguo] Zhoushan Nat Resources Surveying & Mapping Design, Zhoushan 316022, Zhejiang, Peoples R China.
   [Liu, Guangzhe] Northwest A&F Univ, Coll Forestry, Yangling 712100, Shaanxi, Peoples R China.
C3 Zhejiang Ocean University; Qinghai University; Northwest A&F University
   - China
RP Guo, BY; Subrahmanyam, MV (corresponding author), Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan 316022, Zhejiang, Peoples R China.; Guo, BY (corresponding author), Qinghai Univ, State Key Lab Plateau Ecol & Agr, Xining 810016, Qinghai, Peoples R China.
EM biyunguo@163.com; mvsm.au@gmail.com
TC 1
Z9 1
PU MYU, SCIENTIFIC PUBLISHING DIVISION
PI TOKYO
PA 1-23-3-303 SENDAGI, TOKYO, 113-0022, JAPAN
SN 0914-4935
PY 2021
VL 33
IS 11
SI SI
BP 3693
EP 3708
DI 10.18494/SAM.2021.3337
SC Instruments & Instrumentation; Materials Science
UT WOS:000720943100001
ER

PT J
AU Liou, YA
   Kar, SK
   Chang, LY
AF Liou, Yuei-An
   Kar, Sanjib K.
   Chang, Liyu
TI Use of high-resolution FORMOSAT-2 satellite images for post-earthquake
   disaster assessment: a study following the 12 May 2008 Wenchuan
   Earthquake
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID TIBETAN PLATEAU; HAZARD
AB A large earthquake struck Wenchuan County, China on 12 May 2008 and is one of the most severe natural disasters of recent decades that has changed the entire landscape of Wenchuan County. This paper presents a satellite image analysis of the landslide following the Wenchuan earthquake and its consequences, and demonstrates how remote sensing techniques can be used for civilian crisis-management purpose and disaster relief. Real-time high resolution 2-dimensional and 3-dimensional information on structural deformation of land areas, directional changes of rivers, creation of new lakes, and the water levels of rivers and lakes in the earthquake affected area have been provided using the FORMOSAT-2 and Satellite pour l'Observation de la Terre (SPOT)-5 satellite images. Satellite images taken before and after the 12 May 2008 Wenchuan Earthquake have been used for landslide investigation. Possible flooding and rupture of natural dams during the post-earthquake period have been indicated through the analysis of 3-dimensional images of FORMOSAT-2. Some rescue methods have been suggested for immediate recovery of the bereaved persons and to locate the corresponding area accurately using remote sensing techniques. Some precautionary measures have also been suggested to avoid further destruction. Comparisons of panchromatic and multispectral images of FORMOSAT-2 for a particular region have been made to quantify the location accuracy. Our results show that the real-time high-spatial resolution FORMOSAT-2 satellite images could be an efficient and useful resource for decision-makers to prepare rescue and post-event recovery operation plans, especially for some isolated earthquake areas where damage distribution is often very uneven and hard to reach in time.
C1 [Liou, Yuei-An; Kar, Sanjib K.; Chang, Liyu] Natl Cent Univ, Ctr Space & Remote Sensing Res, Jhongli 32001, Taoyuan County, Taiwan.
C3 National Central University
RP Liou, YA (corresponding author), Natl Cent Univ, Ctr Space & Remote Sensing Res, 300 Jhongda Rd, Jhongli 32001, Taoyuan County, Taiwan.
EM yueian@csrsr.ncu.edu.tw
TC 47
Z9 53
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2010
VL 31
IS 13
BP 3355
EP 3368
AR PII 924647577
DI 10.1080/01431161003727655
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000003
ER

PT J
AU Duan, XF
   Tian, Z
   Ding, MT
   Zhao, W
AF Duan, Xifa
   Tian, Zheng
   Ding, Mingtao
   Zhao, Wei
TI Registration of remote-sensing images using robust weighted kernel
   principal component analysis
SO AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
DT Article
DE Remote-sensing image; Variform object; Kernel principal component
   analysis (KPCA); Robust weighted KPCA; Graph spectral method; Outliers
ID SPACE
AB For pre- and post-earthquake remote-sensing images, registration is a challenging task due to the possible deformations of the objects to be registered. To overcome this problem, a registration method based on robust weighted kernel principal component analysis is proposed to precisely register the variform objects. Firstly, a robust weighted kernel principal component analysis (RWKPCA) method is developed to capture the common robust kernel principal components (RKPCs) of the variform objects. Secondly, a registration approach is derived from the projection on RKPCs. Finally, two experiments are conducted on the SAR image registration in Wenchuan earthquake on May 12, 2008, and the results showed that the method is very effective in capturing structure patterns and generalized well for registration. (C) 2012 Elsevier GmbH. All rights reserved.
C1 [Duan, Xifa; Tian, Zheng; Zhao, Wei] Northwestern Polytech Univ, Dept Appl Math, Xian 710129, Peoples R China.
   [Duan, Xifa] Taiyuan Univ Sci & Technol, Dept Appl Math, Taiyuan 030024, Peoples R China.
   [Ding, Mingtao] Duke Univ, Durham, NC 27705 USA.
C3 Northwestern Polytechnical University; Taiyuan University of Science &
   Technology; Duke University
RP Duan, XF (corresponding author), Northwestern Polytech Univ, Dept Appl Math, Xian 710129, Peoples R China.
EM xfduan@163.com
TC 12
Z9 12
PU ELSEVIER GMBH, URBAN & FISCHER VERLAG
PI JENA
PA OFFICE JENA, P O BOX 100537, 07705 JENA, GERMANY
SN 1434-8411
EI 1618-0399
PY 2013
VL 67
IS 1
BP 20
EP 28
DI 10.1016/j.aeue.2012.05.011
SC Engineering; Telecommunications
UT WOS:000312613900003
ER

PT J
AU Li, LJ
   Yao, X
   Zhang, YS
   Iqbal, J
   Chen, J
   Zhou, NJ
AF Li, Lingjing
   Yao, Xin
   Zhang, Yongshuang
   Iqbal, Javed
   Chen, Jian
   Zhou, Nengjuan
TI Surface recovery of landslides triggered by 2008 Ms8.0 Wenchuan
   earthquake (China): a case study in a typical mountainous watershed
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Geohazards; Landslides; Longmenshan mountain;
   Vegetation recovery
ID VEGETATION RECOVERY; IMPACTS; EROSION; TAIWAN
AB The Ms8.0 Wenchuan earthquake that occurred on 12 May 2008 in southwestern China and triggered numerous landslides is one of the stronger ones in the steep eastern margins of the Tibetan Plateau. The surfaces of these landslides have recovered gradually with vegetation, which provide useful information about the evolution of geologic environment as well as the long-term assessment of landslides after earthquake. The Mianyuanhe watershed shows many co-seismic landslides. The active fault passing through its center is selected as a study area aiming to analyze the annual surface recovery rate (SRR) of landslides by interpretation of remote-sensing images in five periods from 2008 to 2013. The results are here described. (1) Although a large amount of loose deposits were transformed into debris flows, the surfaces of the landslides recovered rapidly with vegetation and almost no landslides occurred at new sites after the Wenchuan earthquake. In the year 2008, the exposed surface projected area (ESPA) of the landslides showed a total area of 56.3 km(2) and covered 28.9 % of the study area, which was reduced rapidly to 19.1 % in 2011 and 15.8 % in 2013. (2) The study area was divided into four geologic units, including clastic rocks, melange zone, carbonate rocks, and magmatic rocks. Smaller ESPAs and higher SRRs were found in the former two units versus the latter ones. (3) A single large landslide shows an SRR lower than a group of smaller ones having an equal total surface, while the SRRs of debris flows are lower than those of rockfalls and landslides. (4) The vegetation cover would return to the pre-earthquake level in 2020 approximately, which indicates that the impact of the Wenchuan earthquake on landslides and debris-flows activities would cease almost completely.
C1 [Li, Lingjing; Yao, Xin; Zhang, Yongshuang; Zhou, Nengjuan] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Li, Lingjing; Yao, Xin; Zhang, Yongshuang; Zhou, Nengjuan] MLR, Key Lab Neotecton Movement & Geohazard, Beijing 100081, Peoples R China.
   [Li, Lingjing; Chen, Jian] China Univ Geosci, Coll Engn & Technol, Beijing 100083, Peoples R China.
   [Iqbal, Javed] COMSATS Inst Informat Technol, Dept Earth Sci, Abbottabad, Pakistan.
C3 China Geological Survey; Institute of Geomechanics, Chinese Academy of
   Geological Sciences; Chinese Academy of Geological Sciences; China
   University of Geosciences; COMSATS University Islamabad (CUI)
RP Yao, X (corresponding author), MLR, Key Lab Neotecton Movement & Geohazard, Beijing 100081, Peoples R China.
EM yaoxinphd@163.com
TC 28
Z9 30
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD AUG
PY 2016
VL 13
IS 4
BP 787
EP 794
DI 10.1007/s10346-015-0594-1
SC Engineering; Geology
UT WOS:000385044500012
ER

PT J
AU Yang, ZJ
   Qiao, JP
   Huang, D
   Uchimura, T
   Wang, L
AF Yang, Zong-Ji
   Qiao, Jian-Ping
   Huang, Dong
   Uchimura, Taro
   Wang, Lin
TI Experimental Identification on Thresholds for early warning of
   Rainfall-induced Failure on Fractured Slopes after Giant Earthquake
SO SAINS MALAYSIANA
DT Article
DE Fractured slopes; giant earthquake; rainfall induced; threshold factors
AB Prevention and mitigation of rainfall induced geological hazards after the Ms=8 Wenchuan earthquake on May 12th, 2008 were significant for rebuild of earthquake hit regions. After the Wenchuan earthquake, there were tens of thousands of fractured slopes which were broken and loosened by the ground shaking, they were very susceptible to heavy rainfall and change forms into potential debris flows. In order to carry out this disaster reduction and prediction effectively in Longmenshan region, careful real-time monitoring and pre-warning of mountain hazards in both regional and site-specific scales is reasonable as alternatives in Wenchuan earthquake regions. For pre-warning the failure of fractured slopes induced by rainfall, the threshold value or the critical value of the precipitation of hazards should be proposed. However, the identification of critical criterion and parameters to pre-warning is the most difficult issue in mountainous hazards monitoring and pre-warning system especially in the elusive and massive fractured slopes widespread in Wenchuan earthquake regions. In this study, a natural coseismic fractured landslide in the Taziping village, Hongkou County, Dujianyan City, was selected to conduct the field experimental test, in order to identify the threshold parameters and critical criterion of the fractured slopes of Taziping. After the field experimental test, the correlation of rainfall intensity, rainfall duration and accumulative rainfall was investigated. The field experimental test was capable of identifying the threshold factors for failure of rainfall-induced fractured slopes after the giant earthquake.
C1 [Yang, Zong-Ji; Qiao, Jian-Ping; Huang, Dong] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Uchimura, Taro] Saitama Univ, Dept Civil & Environm Engn, Saitama, Japan.
   [Wang, Lin] Chuo Kaihatsu Corp, Tokyo, Japan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Saitama University
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM yzj@imde.ac.cn
TC 2
Z9 2
PU UNIV KEBANGSAAN MALAYSIA
PI SELANGOR
PA FACULTY SCIENCE & TECHNOLOGY, BANGI, SELANGOR, 43600, MALAYSIA
SN 0126-6039
PD NOV
PY 2017
VL 46
IS 11
BP 2029
EP 2034
DI 10.17576/jsm-2017-4611-02
SC Science & Technology - Other Topics
UT WOS:000422854400002
ER

PT J
AU Wang, J
   Yu, Y
   Yang, S
   Lu, GH
   Ou, GQ
AF Wang Jun
   Yu Yan
   Yang Shun
   Lu Gui-hong
   Ou Guo-qiang
TI A modified certainty coefficient method (M-CF) for debris flow
   susceptibility assessment: A case study for the Wenchuan earthquake
   meizoseismal areas
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan earthquake; Disaster-prone environment; Debris flow;
   Susceptibility assessment; Modified certainty coefficient method (M-CF)
AB In the meizoseismal areas hit by the China Wenchuan earthquake on May 12, 2008, the disasterprone environment has changed dramatically, making the susceptibility assessment of debris flow more complex and uncertain. After the earthquake, debris flow hazards occurred frequently and effective susceptibility assessment of debris flow has become extremely important. Shenxi gully in Du Jiangyan city, located in the meizoseismal areas, was selected as the study area. Based on the research of disaster-prone environment and the main factors controlling debris flow, the susceptibility zonations of debris flow were mapped using factor weight method (FW), certainty coefficient method (CF) and geomorphic information entropy method (GI). Through comparative analysis, the study showed that these three methods underestimated susceptible degree of debris flow when used in the meizoseismal areas of Wenchuan earthquake. In order to solve this problem, this paper developed a modified certainty coefficient method (M-CF) to reflect the impact of rich loose materials on the susceptible degree of debris flow. In the modified method, the distribution and area of loose materials were obtained by field investigations and postearthquake remote sensing image, and four data sets, namely, lithology, elevation, slop and aspect, were used to calculate the CF values. The result of M-CF method is in agreement with field investigations and the accuracy of the method is satisfied. The method has a wide application to the susceptibility assessment of debris flow in the earthquake stricken areas.
C1 [Wang Jun; Yu Yan; Yang Shun; Lu Gui-hong; Ou Guo-qiang] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Wang Jun; Yu Yan; Yang Shun; Lu Gui-hong; Ou Guo-qiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Wang Jun; Yu Yan; Yang Shun; Lu Gui-hong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Ou, GQ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM wangjun210@mails.ucas.ac.cn; ougq@imde.ac.cn
TC 19
Z9 22
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD SEP
PY 2014
VL 11
IS 5
BP 1286
EP 1297
DI 10.1007/s11629-013-2781-7
SC Environmental Sciences & Ecology
UT WOS:000342223500016
ER

PT J
AU Yang, JT
   Xu, C
   Jin, X
AF Yang, Jintao
   Xu, Chong
   Jin, Xu
TI Joint Effects and Spatiotemporal Characteristics of the Driving Factors
   of Landslides in Earthquake Areas
SO JOURNAL OF EARTH SCIENCE
DT Article
DE geodetector; co-seismic landslide; spatial pattern; triggering factors;
   interaction effects; driving force; engineering geology
ID CHI-CHI-EARTHQUAKE; SPATIAL-DISTRIBUTION; SUSCEPTIBILITY ASSESSMENT;
   WENCHUAN EARTHQUAKE; RISK ASSESSMENT; RAINFALL; REGION; GIS; PREDICTION;
   MECHANISM
AB Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster prevention and mitigation in earthquake-prone areas. By far, little work has been done on this issue. This study analyzed the co-seismic landslide of the M-s 8.0 Wenchuan earthquake in 2008 and 2014. The joint effects and spatiotemporal characteristics of the driving factors in seismic regions were revealed. Results show that (a) between 2008 and 2014, the dominant driving-factor for landslides has changed from earthquake to rock mass; (b) driving factors with weak driving force have a significant enhancement under the joint effects of other factors; (c) the joint effects of driving factors and earthquake decays with time. The study concluded that the strong vibration of the Wenchuan earthquake and the rock mass strength are the biggest contributors to the spatial distribution of landslides in 2008 and 2014, respectively. It means that the driving force of the earthquake is weaker than that of the rock mass after six years of the Wenchuan earthquake. Moreover, the landslide spatial distribution can be attributed to the joint effects of the Wenchuan earthquake and driving factors, and the earthquake has an enhanced effect on other factors.
C1 [Yang, Jintao] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Yang, Jintao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Xu, Chong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
   [Xu, Chong] Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
   [Jin, Xu] Chengdu Yuanjing Technol Co Ltd, Chengdu 610093, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.; Xu, C (corresponding author), Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
EM chongxu@ninhm.ac.cn
TC 17
Z9 18
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD APR
PY 2023
VL 34
IS 2
BP 330
EP 338
DI 10.1007/s12583-021-1465-4
SC Geology
UT WOS:000981674700005
ER

PT J
AU Lu, H
   Ma, L
   Fu, X
   Liu, C
   Wang, Z
   Tang, M
   Li, NW
AF Lu, Heng
   Ma, Lei
   Fu, Xiao
   Liu, Chao
   Wang, Zhi
   Tang, Min
   Li, Naiwen
TI Landslides Information Extraction Using Object-Oriented Image Analysis
   Paradigm Based on Deep Learning and Transfer Learning
SO REMOTE SENSING
DT Article
DE landslides information extraction; unmanned aerial vehicle imagery;
   convolutional neural network; transfer learning; object-oriented image
   analysis
ID CONVOLUTIONAL NEURAL-NETWORKS; RESOLUTION SATELLITE;
   LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; UNMANNED AIRCRAFT;
   RISK-ASSESSMENT; RANDOM FOREST; CLASSIFICATION; INTERFEROMETRY;
   SEGMENTATION
AB How to acquire landslide disaster information quickly and accurately has become the focus and difficulty of disaster prevention and relief by remote sensing. Landslide disasters are generally featured by sudden occurrence, proposing high demand for emergency data acquisition. The low-altitude Unmanned Aerial Vehicle (UAV) remote sensing technology is widely applied to acquire landslide disaster data, due to its convenience, high efficiency, and ability to fly at low altitude under cloud. However, the spectrum information of UAV images is generally deficient and manual interpretation is difficult for meeting the need of quick acquisition of emergency data. Based on this, UAV images of high-occurrence areas of landslide disaster in Wenchuan County and Baoxing County in Sichuan Province, China were selected for research in the paper. Firstly, the acquired UAV images were pre-processed to generate orthoimages. Subsequently, multi-resolution segmentation was carried out to obtain image objects, and the barycenter of each object was calculated to generate a landslide sample database (including positive and negative samples) for deep learning. Next, four landslide feature models of deep learning and transfer learning, namely Histograms of Oriented Gradients (HOG), Bag of Visual Word (BOVW), Convolutional Neural Network (CNN), and Transfer Learning (TL) were compared, and it was found that the TL model possesses the best feature extraction effect, so a landslide extraction method based on the TL model and object-oriented image analysis (TLOEL) was proposed; finally, the TLOEL method was compared with the object-oriented nearest neighbor classification (NNC) method. The research results show that the accuracy of the TLOEL method is higher than the NNC method, which can not only achieve the edge extraction of large landslides, but also detect and extract middle and small landslides accurately that are scatteredly distributed.
C1 [Lu, Heng; Liu, Chao; Wang, Zhi; Li, Naiwen] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Lu, Heng; Liu, Chao; Wang, Zhi; Li, Naiwen] Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
   [Ma, Lei] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210093, Peoples R China.
   [Ma, Lei] Nanjing Univ, State Adm Surveying Mapping & Geoinformat, Key Lab Satellite Mapping Technol & Applicat, Nanjing 210023, Peoples R China.
   [Ma, Lei] Tech Univ Munich TUM, Signal Proc Earth Observat, D-80333 Munich, Germany.
   [Fu, Xiao] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
   [Tang, Min] China Railway Eryuan Engn Grp Co Ltd, Chengdu 610031, Peoples R China.
C3 Sichuan University; Sichuan University; Nanjing University; Nanjing
   University; Technical University of Munich; Southwest Jiaotong
   University
RP Li, NW (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.; Li, NW (corresponding author), Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
EM luheng@scu.edu.cn; maleinju@nju.edu.cn; fuxiao@my.swjtu.edu.cn;
   liuchao@scu.edu.cn; zhizhsally@163.com; tangmin05@ey.crec.cn;
   linaiwen@scu.edu.cn
TC 69
Z9 77
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAR
PY 2020
VL 12
IS 5
AR 752
DI 10.3390/rs12050752
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000531559300007
ER

PT J
AU Yang, ZJ
   Shao, W
   Qiao, JP
   Huang, D
   Tian, HL
   Lei, XQ
   Uchimura, T
AF Yang, Zongji
   Shao, Wei
   Qiao, Jianping
   Huang, Dong
   Tian, Hongling
   Lei, Xiaoqin
   Uchimura, Taro
TI A Multi-Source Early Warning System of MEMS Based Wireless Monitoring
   for Rainfall-Induced Landslides
SO APPLIED SCIENCES-BASEL
DT Article
DE wireless early warning system; portable sensor unit;
   cost-effectiveequipment; multivariate thresholds; rainfall-induced
   landslides
ID STABILITY; SLOPE; FLOW
AB Landslide monitoring and early warning systems are the most successful countermeasures to reduce fatalities and economic losses from landslide hazards. The traditional strategies such as GPS and extensometers are relatively expensive and difficult to be installed in steep, high mountains. In this study, a MEMS (Micro Electro Mechanical Systems) based multivariate wireless monitoring sensor unit was used to build a monitoring and early warning system for rainfall-triggered landslides, as one of the most practical and cost-effective countermeasures for hard-reached mountains. The multi-source wireless monitoring system and its well-developed equipment were tested in a landslide-prone slope to monitor the triggering of landslides and debris flows in the Wenchuan earthquake region, China. The variations of several state variables were observed, including the soil moisture content, soil matric suction, rainfall, inclination and ground vibration. The results of a slope stability analysis were benchmarked with the in situ measurements to identify the multivariate early warning parameters for rainfall-induced landslides. The proposed early warning system for the slope stability analysis can provide a more accurate prediction for rainfall-induced landslides and debris flows in earthquake hit regions.
C1 [Yang, Zongji; Qiao, Jianping; Huang, Dong; Tian, Hongling; Lei, Xiaoqin] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Shao, Wei] Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China.
   [Uchimura, Taro] Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Nanjing University of Information Science &
   Technology; Saitama University
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM yzj@imde.ac.cn; shao@nuist.edu.cn; jpqiao@imde.ac.cn; dhuang@imde.ac.cn;
   thl@imde.ac.cn; xiaoqin.lei@imde.ac.cn;
   uchimurataro@mail.saitama-u.ac.jp
TC 23
Z9 27
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2076-3417
PD DEC
PY 2017
VL 7
IS 12
AR 1234
DI 10.3390/app7121234
SC Chemistry; Engineering; Materials Science; Physics
UT WOS:000419175800030
ER

PT J
AU Zhan, WW
   Fan, XM
   Huang, RQ
   Pei, XJ
   Xu, Q
   Li, W
AF Zhan, Weiwei
   Fan, Xuanmei
   Huang, Runqiu
   Pei, Xiangjun
   Xu, Qiang
   Li, Weile
TI Empirical prediction for travel distance of channelized rock avalanches
   in the Wenchuan earthquake area
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID LANDSLIDE RISK; MOBILITY; MODEL; CLASSIFICATION; ANGLE
AB Rock avalanches are extremely rapid, massive flow-like movements of fragmented rock. The travel path of the rock avalanches may be confined by channels in some cases, which are referred to as channelized rock avalanches. Channelized rock avalanches are potentially dangerous due to their difficult-to-predict travel distance. In this study, we constructed a dataset with detailed characteristic parameters of 38 channelized rock avalanches triggered by the 2008 Wenchuan earthquake using the visual interpretation of remote sensing imagery, field investigation and literature review. Based on this dataset, we assessed the influence of different factors on the runout distance and developed prediction models of the channelized rock avalanches using the multivariate regression method. The results suggested that the movement of channelized rock avalanche was dominated by the landslide volume, total relief and channel gradient. The performance of both models was then tested with an independent validation dataset of eight rock avalanches that were induced by the 2008 Wenchuan earthquake, the M-s 7.0 Lushan earthquake and heavy rainfall in 2013, showing acceptable good prediction results. Therefore, the travel-distance prediction models for channelized rock avalanches constructed in this study are applicable and reliable for predicting the runout of similar rock avalanches in other regions.
C1 [Zhan, Weiwei; Fan, Xuanmei; Huang, Runqiu; Pei, Xiangjun; Xu, Qiang; Li, Weile] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM fxm_cdut@qq.com
TC 37
Z9 39
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PD JUN 8
PY 2017
VL 17
IS 6
BP 833
EP 844
DI 10.5194/nhess-17-833-2017
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000403234100001
ER

PT J
AU Yang, F
   Fan, XM
   Subramanian, SS
   Dou, XY
   Xiong, JL
   Xia, B
   Yu, ZY
   Xu, Q
AF Yang, Fan
   Fan, Xuanmei
   Siva Subramanian, Srikrishnan
   Dou, Xiangyang
   Xiong, Junlin
   Xia, Bing
   Yu, Zongyang
   Xu, Qiang
TI Catastrophic debris flows triggered by the 20 August 2019 rainfall, a
   decade since the Wenchuan earthquake, China
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Post-seismic debris flows; Initiation mechanism;
   Evolving controls; Rainfall threshold
ID INTENSITY-DURATION THRESHOLD; LANDSLIDES; INITIATION; IMPACT; AREA;
   EVOLUTION; VOLUME
AB Enhanced debris flow activity observed after the 2008 Wenchuan earthquake, Sichuan Province, SW China, is still intense more than a decade since the earthquake. A heavy rainstorm on 20 August 2019 caused catastrophic debris flows in the epicentral area of the earthquake. By remote sensing imagery interpretation and field investigation, 13 debris flows were identified. An empirical rainfall threshold I-D model (intensity-duration) of post-seismic debris flows is established. Changing rainfall thresholds, characteristics, and initiation mechanisms of the 2019 debris flows were analyzed, which are different from the events that occurred in previous years. We find that the 2019 debris flows were mainly initiated by concentrated runoff erosion of sediments stored in tributary channels of catchments, with little contribution from the coseismic landslides and new hillslope failures. Differently, the major sediment supply of debris flows in previous years was mainly from the reactivation of coseismic landslide deposits. By analyzing the triggering rainfall of all recorded debris flows after the Wenchuan earthquake, we find that the rainfall threshold in 2019 is about 1/2-4/5 of the pre-earthquake value, and the I-D model we built can predict the 2019 debris flows successfully. Considering that there are still a large number of coseismic landslide deposits in the mountain catchments and the rainfall thresholds are slowly recovering, the post-seismic debris flows may last for a long period.
C1 [Yang, Fan; Fan, Xuanmei; Siva Subramanian, Srikrishnan; Dou, Xiangyang; Xiong, Junlin; Xia, Bing; Yu, Zongyang; Xu, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM fxm_cdut@qq.com
TC 52
Z9 56
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD SEP
PY 2021
VL 18
IS 9
BP 3197
EP 3212
DI 10.1007/s10346-021-01713-6
EA JUL 2021
SC Engineering; Geology
UT WOS:000668408100001
ER

PT J
AU Fan, XM
   Xu, Q
   Alonso-Rodriguez, A
   Subramanian, SS
   Li, WL
   Zheng, G
   Dong, XJ
   Huang, RQ
AF Fan, Xuanmei
   Xu, Qiang
   Alonso-Rodriguez, Andres
   Subramanian, Srikrishnan Siva
   Li, Weile
   Zheng, Guang
   Dong, Xiujun
   Huang, Runqiu
TI Successive landsliding and damming of the Jinsha River in eastern Tibet,
   China: prime investigation, early warning, and emergency response
SO LANDSLIDES
DT Article
DE Successive landslides; Landslide dam; Potential geohazards; Long term
   deformation; Monitoring and early warning; Emergency response
ID WENCHUAN EARTHQUAKE; TIME-SERIES; SICHUAN; MAGNITUDE; REGION
AB Two successive landslides within a month started in October 11, 2018, and dammed twice the Jinsha River at the border between Sichuan Province and Tibet in China. Both events had potential to cause catastrophic flooding that would have disrupted lives of millions and induced significant economic losses. Fortunately, prompt action by local authorities supported by the deployment of a real-time landslide early warning system allowed for quick and safe construction of a spillway to drain the dammed lake. It averted the worst scenario without loss of life and property at least one order of magnitude less to what would have been observed without quick intervention. Particularly, the early warning system was able to predict the second large-scale slope failure 24h in advance, along with minor rock falls during the spillway construction, avoiding false alerts. This paper presents the main characteristics of both slope collapses and damming processes, and introduces the successful landslide early warning system. Furthermore, we found that the slope endured cumulative creeping displacements of >40m in the past decade before the first event. Twenty-five meter displacement occurred in the year immediately before. The deformation was measured by the visual interpretation of multitemporal satellite images, which agrees with the interferometry synthetic aperture radar (InSAR) measurement. If these had been done before the emergency, economic losses could have been reduced further. Therefore, our findings strengthen the case for the deployment of systematic monitoring of potential landslide sites by integrating earth observation methods (i.e., multitemporal satellite or UAV images) and in situ monitoring system as a way to reduce risk. It is expected that this success story can be replicated worldwide, contributing to make our society more resilient to landslide events.
C1 [Fan, Xuanmei; Xu, Qiang; Alonso-Rodriguez, Andres; Subramanian, Srikrishnan Siva; Li, Weile; Zheng, Guang; Dong, Xiujun; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Xu, Q (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu, Sichuan, Peoples R China.
EM xq-68@qq.com
TC 198
Z9 248
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD MAY
PY 2019
VL 16
IS 5
BP 1003
EP 1020
DI 10.1007/s10346-019-01159-x
SC Engineering; Geology
UT WOS:000466495400010
ER

PT J
AU Yang, ZJ
   Wang, LY
   Qiao, JP
   Uchimura, T
   Wang, L
AF Yang, Zongji
   Wang, Liyong
   Qiao, Jianping
   Uchimura, Taro
   Wang, Lin
TI Application and verification of a multivariate real-time early warning
   method for rainfall-induced landslides: implication for evolution of
   landslide-generated debris flows
SO LANDSLIDES
DT Article
DE Early warning; Multivariate; Rainfall-induced landslide; Debris flows
ID UNSATURATED HYDROMECHANICAL BEHAVIOR; SHALLOW LANDSLIDES; DURATION
   CONTROL; INTENSITY; SYSTEM; MODELS; SLOPE
AB Rainfall-induced landslides are a frequent and often catastrophic geological disaster, and the development of accurate early warning systems for such events is a primary challenge in the field of risk reduction. Understanding of the physical mechanisms of rainfall-induced landslides is key for early warning and prediction. In this study, a real-time multivariate early warning method based on hydro-mechanical analysis and a long-term sequence of real-time monitoring data was proposed and verified by applying the method to predict successive debris flow events that occurred in 2017 and 2018 in Yindongzi Gully, which is in Wenchuan earthquake region, China. Specifically, long-term sequence slope stability analysis of the in situ datasets for the landslide deposit as a benchmark was conducted, and a multivariate indicator early warning method that included the rainfall intensity-probability (I-P), saturation (S-i), and inclination (I-r) was then proposed. The measurements and analysis in the two early warning scenarios not only verified the reliability and practicality of the multivariate early warning method but also revealed the evolution processes and mechanism of the landslide-generated debris flow in response to rainfall. Thus, these findings provide a new strategy and guideline for accurately producing early warnings of rainfall-induced landslides.
C1 [Yang, Zongji; Wang, Liyong; Qiao, Jianping] Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Wang, Liyong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Uchimura, Taro] Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan.
   [Wang, Lin] Chuo Kaihatsu Corp, Shinjuku Ku, Tokyo 1698612, Japan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Saitama University
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
EM yzj@imde.ac.cn
TC 40
Z9 41
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD OCT
PY 2020
VL 17
IS 10
BP 2409
EP 2419
DI 10.1007/s10346-020-01402-w
EA APR 2020
SC Engineering; Geology
UT WOS:000523099300002
ER

PT J
AU Dong, LG
   Shan, J
AF Dong, Laigen
   Shan, Jie
TI A comprehensive review of earthquake-induced building damage detection
   with remote sensing techniques
SO ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
DT Review
DE Earthquakes; Building damage detection; Remote sensing
ID HIGH-RESOLUTION SATELLITE; 2003 BAM; COLLAPSED BUILDINGS; WENCHUAN
   EARTHQUAKE; AUTOMATIC DETECTION; HAITI EARTHQUAKE; IRAN EARTHQUAKE; SAR;
   IMAGE; RADAR
AB Earthquakes are among the most catastrophic natural disasters to affect mankind. One of the critical problems after an earthquake is building damage assessment. The area, amount, rate, and type of the damage are essential information for rescue, humanitarian and reconstruction operations in the disaster area. Remote sensing techniques play an important role in obtaining building damage information because of their non-contact, low cost, wide field of view, and fast response capacities. Now that more and diverse types of remote sensing data become available, various methods are designed and reported for building damage assessment. This paper provides a comprehensive review of these methods in two categories: multi-temporal techniques that evaluate the changes between the pre- and post-event data and mono-temporal techniques that interpret only the post-event data. Both categories of methods are discussed and evaluated in detail in terms of the type of remote sensing data utilized, including optical, LiDAR and SAR data. Performances of the methods and future efforts are drawn from this extensive evaluation. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
C1 [Dong, Laigen; Shan, Jie] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
   [Shan, Jie] Purdue Univ, Sch Civil Engn, W Lafayette, IN 47907 USA.
C3 Wuhan University; Purdue University System; Purdue University
RP Shan, J (corresponding author), Purdue Univ, Sch Civil Engn, W Lafayette, IN 47907 USA.
EM jshan@ecn.purdue.edu
TC 396
Z9 456
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0924-2716
EI 1872-8235
PD OCT
PY 2013
VL 84
BP 85
EP 99
DI 10.1016/j.isprsjprs.2013.06.011
SC Physical Geography; Geology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000324849500008
ER

PT J
AU Li, ZB
   Shi, WZ
   Myint, SW
   Lu, P
   Wang, QM
AF Li, Zhongbin
   Shi, Wenzhong
   Myint, Soe W.
   Lu, Ping
   Wang, Qunming
TI Semi-automated landslide inventory mapping from bitemporal aerial
   photographs using change detection and level set method
SO REMOTE SENSING OF ENVIRONMENT
DT Article
DE Landslide inventory mapping (LIM); Aerial orthophoto; Change detection;
   Change vector analysis (CVA); Level set evolution (LSE)
ID 2008 WENCHUAN EARTHQUAKE; REMOTE-SENSING DATA; LAND-COVER CHANGES;
   HAZARD ZONATION; LANTAU ISLAND; TIME-SERIES; LIDAR DATA; 3 GORGES;
   IMAGERY; GIS
AB Landslide inventory mapping (LIM) is an increasingly important research topic in remote sensing and natural hazards. Past studies achieve LIM mainly using on-screen interpretation of aerial photos, and little attention has been paid to developing more automated methods. In recent years, the use of multitemporal remote sensing images makes it possible to map landslides semi-automatically. Although numerous methods have been proposed, only a few methods are competent for some specific situations and there is large room for improvement in their degree of automation. For these reasons, a semi-automated approach is proposed for reliable and accurate LIM from bitemporal aerial orthophotos. Specifically, it consists of two principal steps: 1) change detection-based thresholding (CDT) and 2) level set evolution (LSE). CDT is mainly used to generate the initial zero-level curve (ZLC) for LSE, thus automating the proposed method considerably. It includes three substeps: 1) generating difference image (DI) using change vector analysis (CVA), 2) detecting landslide candidates using a thresholding method, and 3) removing errors using morphology operations. Then, landslide boundaries are detected using two types of LSE, i.e., edge-based LSE (ELSE) and region-based LSE (RISE). Finally, the effectiveness and advantages of the proposed methods are corroborated by a series of experiments. Given its efficiency and accuracy, it can be applied to rapid responses of natural hazards. This study is the first attempt to apply LSE to LIM from bitemporal remote sensing images. (c) 2016 Elsevier Inc All rights reserved.
C1 [Li, Zhongbin; Shi, Wenzhong; Wang, Qunming] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Hong Kong, Peoples R China.
   [Myint, Soe W.] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ USA.
   [Lu, Ping] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China.
   [Wang, Qunming] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England.
C3 Hong Kong Polytechnic University; Arizona State University; Arizona
   State University-Tempe; Tongji University; Lancaster University
RP Li, ZB; Shi, WZ (corresponding author), Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Hong Kong, Peoples R China.
EM lzbtongji@gmail.com; lswzshi@polyu.edu.hk; soe.myint@asu.edu;
   luping@tongji.edu.cn; wqm11111@126.com
TC 115
Z9 135
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0034-4257
EI 1879-0704
PD MAR 15
PY 2016
VL 175
BP 215
EP 230
DI 10.1016/j.rse.2016.01.003
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000371000000019
ER

PT J
AU Chen, XQ
   Chen, JG
   Cui, P
   You, Y
   Hu, KH
   Yang, ZJ
   Zhang, WF
   Li, XP
   Wu, Y
AF Chen, Xiao-qing
   Chen, Jian-gang
   Cui, Peng
   You, Yong
   Hu, Kai-heng
   Yang, Zong-ji
   Zhang, Wei-feng
   Li, Xin-po
   Wu, Yong
TI Assessment of prospective hazards resulting from the 2017 earthquake at
   the world heritage site Jiuzhaigou Valley, Sichuan, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE 2017 Jiuzhaigou earthquake; Disaster risk; Geological hazard; Landslide;
   World heritage site; Jiuzhaigou Valley
ID CATASTROPHIC DEBRIS FLOWS; LANDSLIDE; CLASSIFICATION; CONSERVATION;
   RAINFALL
AB On August 8, 2017, a Ms = 7.0 magnitude earthquake occurred in the Jiuzhaigou Valley, in Sichuan Province, China (N: 33.20A degrees, E: 103.82A degrees). Jiuzhaigou Valley is an area recognized and listed as a world heritage site by UNESCO in 1992. Data analysis and field survey were conducted on the landslide, collapse, and debris flow gully, to assess the coseismic geological hazards generated by the earthquake using an unmanned aerial vehicle (UAV), remote-sensing imaging, laser range finders, geological radars, and cameras. The results highlighted the occurrence of 13 landslides, 70 collapses, and 25 potential debris flow gullies following the earthquake. The hazards were classified on the basis of their size and the potential property loss attributable to them. Consequently, 14 large-scale hazards, 30 medium-sized hazards, and 64 small hazards accounting for 13%, 28%, and 59% of the total hazards, respectively, were identified. Based on the variation tendency of the geological hazards that ensued in areas affected by the Kanto earthquake (Japan), Chi-chi earthquake (Taiwan China), and Wenchuan earthquake (Sichuan China), the study predicts that, depending on the rain intensity cycle, the duration of geological hazard activities in the Jiuzhaigou Valley may last over ten years and will gradually decrease for the following five to ten years before returning to pre-earthquake levels. Thus, necessary monitoring and early warning systems must be implemented to ensure the safety of residents, workers and tourists during the construction of engineering projects and reopening of scenic sites to the public.
C1 [Chen, Xiao-qing; Chen, Jian-gang; Cui, Peng; You, Yong; Hu, Kai-heng; Yang, Zong-ji; Zhang, Wei-feng; Li, Xin-po; Wu, Yong] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Chen, Xiao-qing; Cui, Peng] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
   [Chen, Jian-gang] Chinese Acad Sci, Youth Innovat Promot Assoc, Beijing 100029, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; Institute of Tibetan
   Plateau Research, CAS; Center for Excellence in Tibetan Plateau Earth
   Sciences (CETES), CAS; Chinese Academy of Sciences
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.; Cui, P (corresponding author), Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
EM xqchen@imde.ac.cn; chenjg@imde.ac.cn; pengcui@imde.ac.cn;
   yyong@imde.ac.cn; khhu@imde.ac.cn; yzj@imde.ac.cn; zwf@imde.ac.cn;
   sinpore@126.com; wuyong@imde.ac.cn
TC 53
Z9 59
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2018
VL 15
IS 4
BP 779
EP 792
DI 10.1007/s11629-017-4785-1
SC Environmental Sciences & Ecology
UT WOS:000429949900009
ER

PT J
AU Wang, L
   Tian, BW
   Masoud, A
   Koike, K
AF Wang, Ling
   Tian, Bingwei
   Masoud, Alaa
   Koike, Katsuaki
TI Relationship between Remotely Sensed Vegetation Change and Fracture
   Zones Induced by the 2008 Wenchuan Earthquake, China
SO JOURNAL OF EARTH SCIENCE
DT Article
DE fracture zone; vegetation pattern; lineament; remote sensing;
   geostatistics
ID LINEAMENTS; MODEL; DEM
AB The Wenchuan earthquake triggered cascading disasters of landslides and debris flows that caused severe vegetation damage. Fracture zones can affect geodynamics and spatial pattern of vegetation damage. A segment tracing algorithm method was applied for identifying the regional fracture system through lineament extractions from a shaded digital elevation model with 25 m mesh for southern Wenchuan. Remote sensing and geographic information system techniques were used to analyze the spatiotemporal vegetation pattern. The relationship between vegetation type identified from satellite images and lineament density was used to characterize the distribution patterns of each vegetation type according to fracture zones. Broad-leaved forest, mixed forest, and farmland persist in areas with moderate lineament density. Deciduous broad-leaved and coniferous forest persists in less fractured areas. Shrub and meadow seem to be relatively evenly distributed across all lineament densities. Meadow, farmland, and shrub persist in the fractured areas. Changes of spatial structure and correlation between vegetation patterns before and after the earthquake were examined using semivariogram analysis of normalized difference vegetation indices derived from Landsat enhanced thematic mapper images. The sill values of the semivariograms show that the spatial heterogeneity of vegetation covers increased after the earthquake. Moreover, the anisotropic behaviors of the semivariograms coincide with the vegetation changes due to the strikes of fracture zones.
C1 [Wang, Ling] Kumamoto Univ, Grad Sch Sci & Technol, New Frontier Sci, Kumamoto 8608555, Japan.
   [Wang, Ling] Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China.
   [Tian, Bingwei; Koike, Katsuaki] Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158540, Japan.
   [Masoud, Alaa] Tanta Univ, Fac Sci, Dept Geol, Tanta 31527, Egypt.
C3 Kumamoto University; Chinese Academy of Sciences; Chengdu Institute of
   Biology, CAS; Kyoto University; Egyptian Knowledge Bank (EKB); Tanta
   University
RP Koike, K (corresponding author), Kyoto Univ, Grad Sch Engn, Dept Urban Management, Kyoto 6158540, Japan.
EM koike.katsuaki.5x@kyoto-u.ac.jp
TC 10
Z9 14
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD APR
PY 2013
VL 24
IS 2
BP 282
EP 296
DI 10.1007/s12583-013-0329-y
SC Geology
UT WOS:000316973900013
ER

PT J
AU Xu, C
   Xu, XW
   Dai, FC
   Xiao, JZ
   Tan, XB
   Yuan, RM
AF Xu, Chong
   Xu, Xiwei
   Dai, Fuchu
   Xiao, Jianzhang
   Tan, Xibin
   Yuan, Renmao
TI Landslide hazard mapping using GIS and weight of evidence model in
   Qingshui River watershed of 2008 Wenchuan earthquake struck region
SO JOURNAL OF EARTH SCIENCE
DT Article
DE Wenchuan earthquake; landslides; weight of evidence; Geographic
   Information Systems (GIS); landslide hazard mapping
ID ROCK SLOPE STABILITY; NEURAL-NETWORK MODEL; SUSCEPTIBILITY ASSESSMENT;
   LOGISTIC-REGRESSION; PREDICTION MODELS; ZONATION; AREA; INFORMATION;
   TURKEY; ISLAND
AB Tens of thousands of landslides were triggered by May 12, 2008 earthquake over a broad area. The main purpose of this article is to apply and verify earthquake-triggered landslide hazard analysis techniques by using weight of evidence modeling in Qingshui (ae...ae degrees ') River watershed, Deyang (a3/4 center dot e similar to(3)) City, Sichuan (a >> a center dot e) Province, China. Two thousand three hundred and twenty-one landslides were interpreted in the study area from aerial photographs and multi-source remote sensing imageries post-earthquake, verified by field surveys. The landslide inventory in the study area was established. A spatial database, including landslides and associated controlling parameters that may have influence on the occurrence of landslides, was constructed from topographic maps, geological maps, and enhanced thematic mapper (ETM+) remote sensing imageries. The factors that influence landslide occurrence, such as slope angle, aspect, curvature, elevation, flow accumulation, distance from drainages, and distance from roads were calculated from the topographic maps. Lithology, distance from seismogenic fault, distance from all faults, and distance from stratigraphic boundaries were derived from the geological maps. Normalized difference vegetation index (NDVI) was extracted from ETM+ images. Seismic intensity zoning was collected from Wenchuan (ae +/- a center dot e) Ms8.0 Earthquake Intensity Distribution Map published by the China Earthquake Administration. Landslide hazard indices were calculated using the weight of evidence model, and landslide hazard maps were calculated from using different controlling parameters cases. The hazard map was compared with known landslide locations and verified. The success accuracy percentage of using all 13 controlling parameters was 71.82%. The resulting landslide hazard map showed five classes of landslide hazard, i.e., very high, high, moderate, low, and very low. The validation results showed satisfactory agreement between the hazard map and the existing landslides distribution data. The landslide hazard map can be used to identify and delineate unstable hazard-prone areas. It can also help planners to choose favorable locations for development schemes, such as infrastructural, buildings, road constructions, and environmental protection.
C1 [Xu, Chong; Xu, Xiwei; Tan, Xibin; Yuan, Renmao] China Earthquake Adm, Inst Geol, Key Lab Act Tecten & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Dai, Fuchu; Xiao, Jianzhang] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Chinese
   Academy of Sciences; Institute of Geology & Geophysics, CAS
RP Xu, XW (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecten & Volcano, Beijing 100029, Peoples R China.
EM xiweixu@vip.sina.com
TC 123
Z9 152
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD FEB
PY 2012
VL 23
IS 1
BP 97
EP 120
DI 10.1007/s12583-012-0236-7
SC Geology
UT WOS:000299376100008
ER

PT J
AU Qi, Y
   Miao, ZL
   Wu, LX
   Ding, YF
AF Qi, Yuan
   Miao, Zelang
   Wu, Lixin
   Ding, Yifan
TI Seismic Microwave Brightness Temperature Anomaly Detection Using
   Multitemporal Passive Microwave Satellite Images: Ideas and Limits
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Earthquakes; Satellites; Microwave theory and techniques; Microwave
   imaging; Microwave radiometry; Uncertainty; Time series analysis;
   Microwave brightness temperature (MBT); multitemporal image; seismic
   anomaly; time-series analysis; uncertainty
ID WENCHUAN EARTHQUAKE; YUSHU EARTHQUAKE; LUSHAN EARTHQUAKE; SURFACE
   RUPTURE; LAND; RADIOMETER; EMISSION; SICHUAN; SYSTEM; JAPAN
AB Thermal anomalies related to large earthquakes are frequently reported, but focus on the inconsistencies and uncertainties in the uncovered results caused by the diverse method used, data used, and case studies is lacking. Taking seismic anomaly detection using passive microwave remote sensing as an example, this study revealed and illustrated the time series of microwave brightness temperature (MBT) anomaly associated with the May 2008 Wenchuan earthquake, the April 2010 Yushu earthquake, the April 2013 Lushan earthquake, and the April and May 2015 Nepal earthquake sequence. Cross comparison showed that the spatial distribution of MBT anomalies behaves differently with different background-removal methods. More regional and detailed MBT anomalies (but with weaker intensities) were obtained with higher frequency data, whereas more pronounced MBT anomalies (but with fewer details) were acquired with lower frequency data. The amplitude and spatial scales of MBT anomalies at H polarization were larger than that at V polarization. And 10.7 GHz at H polarization was recommended as the optimal band. The spatiotemporal evolutions of MBT anomalies associated with the four selected earthquake cases were compared and found to be closely related to respective earthquake preparation mechanisms. The aforementioned characteristics and uncertainties of MBT anomalies under different conditions were then discriminated and discussed based on microwave remote-sensing physics, and the applications and limitations of the present study were illustrated and analyzed. The findings of this study are of great significance for remote sensing data selection, reliability assessment, and result interpretation in seismic-anomaly research.
C1 [Qi, Yuan; Miao, Zelang; Wu, Lixin; Ding, Yifan] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
C3 Central South University
RP Miao, ZL (corresponding author), Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
EM weloveqy@163.com; zelang.miao@outlook.com; awulixin@263.net;
   dyfzz2019@163.com
TC 11
Z9 15
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2021
VL 14
BP 6792
EP 6806
DI 10.1109/JSTARS.2021.3093819
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000673623400002
ER

PT J
AU Fu, BH
   Shi, PL
   Guo, HD
   Okuyama, S
   Ninomiya, Y
   Wright, S
AF Fu, Bihong
   Shi, Pilong
   Guo, Huadong
   Okuyama, Satoshi
   Ninomiya, Yoshiki
   Wright, Sarah
TI Surface deformation related to the 2008 Wenchuan earthquake, and
   mountain building of the Longmen Shan, eastern Tibetan Plateau
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article; Proceedings Paper
CT 13th Gondwana Conference on Wenchuan Earthquake
CY SEP 03-05, 2008
CL Dali, PEOPLES R CHINA
DE M-s 8.0 Wenchuan earthquake; Co-seismic oblique reverse faulting;
   Crustal shortening; Mountain building; Longmen Shan; Eastern Tibetan
   Plateau
ID AMBIENT SEISMIC NOISE; WAVE ARRAY TOMOGRAPHY; GEOLOGICAL STRUCTURES;
   2-STATION ANALYSIS; SE TIBET; EROSION; SICHUAN; MARGIN; UPLIFT; FAULT
AB The 12 May 2008 M-s 8.0 Wenchuan earthquake, China, was one of largest continental thrusting events worldwide. Based on interpretations of post-earthquake high-resolution remote sensing images and field surveys, we investigated the geometry, geomorphology, and kinematics of co-seismic surface ruptures, as well as seismic and geologic hazards along the Longmen Shan fold-and-thrust belt. Our results indicate that the Wenchuan earthquake occurred along the NE-SW-trending Yingxiu-Beichuan and Guanxian-Anxian faults in the Longmen Shan fold-and-thrust belt. The main surface rupture zones along the Yingxiu-Beichuan and Guanxian-Anxian fault zones are approximately 235 and 72 km in length, respectively. These sub-parallel ruptures may merge at depth. The Yingxiu-Donghekou surface rupture zone can be divided into four segments separated by discontinuities that appear as step-avers or bends in map view. Surface deformation is characterized by oblique reverse faulting with a maximum vertical displacement of approximately 10 m in areas around Beichuan County. Earthquake-related disasters (e.g., landslides) are linearly distributed along the surface rupture zones and associated river valleys.
   The Wenchuan earthquake provides new insights into the nature of mountain building within the Longmen Shan, eastern Tibetan Plateau. The total crustal shortening accommodated by this great earthquake was as much as 8.5 m, with a maximum vertical uplift of approximately 10 m. The present results suggest that ongoing mountain building of the Longmen Shan is driven mainly by crustal shortening and uplift related to repeated large seismic events such as the 2008 Wenchuan earthquake. Furthermore, rapid erosion within the Longmen Shan fold-and-thrust belt occurs along deep valleys and rupture zones following the occurrence of large-scale landslides triggered by earthquakes. Consequently, we suggest that crustal shortening related to repeated great seismic events, together with isostatic rebound induced by rapid erosion-related unloading, is a key component of the geodynamics that drive ongoing mountain building on the eastern Tibetan Plateau. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Fu, Bihong; Shi, Pilong] Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing 100029, Peoples R China.
   [Guo, Huadong] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100080, Peoples R China.
   [Okuyama, Satoshi; Ninomiya, Yoshiki] Geol Survey Japan, AIST, Tsukuba, Ibaraki 3058567, Japan.
   [Wright, Sarah] Univ Melbourne, Sch Earth Sci, Melbourne, Vic 3010, Australia.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   Chinese Academy of Sciences; National Institute of Advanced Industrial
   Science & Technology (AIST); University of Melbourne
RP Fu, BH (corresponding author), Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, 19 No Tucheng W Rd, Beijing 100029, Peoples R China.
EM fubihong@mail.iggcas.ac.cn
TC 124
Z9 161
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR 3
PY 2011
VL 40
IS 4
SI SI
BP 805
EP 824
DI 10.1016/j.jseaes.2010.11.011
SC Geology
UT WOS:000287950800002
ER

PT J
AU Fan, JR
   Zhang, XY
   Su, FH
   Ge, YG
   Tarolli, P
   Yang, ZY
   Zeng, C
   Zeng, Z
AF Fan, Jian-rong
   Zhang, Xi-yu
   Su, Feng-huan
   Ge, Yong-gang
   Tarolli, Paolo
   Yang, Zheng-yin
   Zeng, Chao
   Zeng, Zhen
TI Geometrical feature analysis and disaster assessment of the Xinmo
   landslide based on remote sensing data
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Xinmo Landslide; Geological disaster; Remote Sensing; Unmanned aerial
   vehicle (UAV); Digital elevation model (DEM); Satellite data
ID 2008 WENCHUAN EARTHQUAKE; SICHUAN PROVINCE; TOPOGRAPHY; DEFORMATION;
   AREAS; UAV
AB At 5:39 am on June 24, 2017, a landslide occurred in the village of Xinmo in Maoxian County, Aba Tibet and Qiang Autonomous Prefecture (Sichuan Province, Southwest China). On June 25, aerial images were acquired from an unmanned aerial vehicle (UAV), and a digital elevation model (DEM) was processed. Landslide geometrical features were then analyzed. These are the front and rear edge elevation, accumulation area and horizontal sliding distance. Then, the volume and the spatial distribution of the thickness of the deposit were calculated from the difference between the DEM available before the landslide, and the UAV-derived DEM collected after the landslide. Also, the disaster was assessed using high-resolution satellite images acquired before the landslide. These include QuickBird, Pleiades-1 and GF-2 images with spatial resolutions of 0.65 m, 0.70 m, and 0.80 m, respectively, and the aerial images acquired from the UAV after the landslide with a spatial resolution of 0.1 m. According to the analysis, the area of the landslide was 1.62 km(2), and the volume of the landslide was 7.70 +/- 1.46 million m(3). The average thickness of the landslide accumulation was approximately 8 m. The landslide destroyed a total of 103 buildings. The area of destroyed farmlands was 2.53 ha, and the orchard area was reduced by 28.67 ha. A 2-km section of Songpinggou River was blocked and a 2.1-km section of township road No. 104 was buried. Constrained by the terrain conditions, densely populated and more economically developed areas in the upper reaches of the Minjiang River basin are mainly located in the bottom of the valleys. This is a dangerous area regarding landslide, debris flow and flash flood events. Therefore, in mountainous, high-risk disaster areas, it is important to carefully select residential sites to avoid a large number of casualties.
C1 [Fan, Jian-rong; Zhang, Xi-yu; Su, Feng-huan; Ge, Yong-gang] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Zhang, Xi-yu] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Tarolli, Paolo] Univ Padua, Dept Land Environm Agr & Forestry, Agripolis, Viale Univ 16, I-35020 Legnaro, PD, Italy.
   [Yang, Zheng-yin] Sichuan Remote Sensing Informat Surveying & Mappi, Chengdu 610100, Sichuan, Peoples R China.
   [Zeng, Chao; Zeng, Zhen] Sichuan Geomat Ctr, Sichuan Engn Res Ctr Emergency Mapping & Disaster, Chengdu 610041, Sichuan, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; University of Padua
RP Su, FH (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM fjrong@imde.ac.cn; zhangxiyu@imde.ac.cn; fhsu@imde.ac.cn;
   gyg@imde.ac.cn; paolo.tarolli@unipd.it; yangzhengyin1366@163.com;
   zeng3chao@163.com; zeng3chao@163.com
TC 40
Z9 45
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD SEP
PY 2017
VL 14
IS 9
BP 1677
EP 1688
DI 10.1007/s11629-017-4633-3
SC Environmental Sciences & Ecology
UT WOS:000409490000001
ER

PT J
AU Liu, DL
   Zhou, J
   Sang, XJ
   Tang, D
   Zhang, SJ
   Chen, Q
AF Liu, Dunlong
   Zhou, Jing
   Sang, Xuejia
   Tang, Dan
   Zhang, Shaojie
   Chen, Qiao
TI Machine learning-based identification of potential debris flow
   catchments in the Wenchuan earthquake region
SO EARTH SCIENCE INFORMATICS
DT Article
DE Catchment identification; Debris flows; K-Nearest neighbors; Logistic
   regression; Random forest; Self-Organizing map; Stacking; Support vector
   machine; Wenchuan earthquake region
ID SUSCEPTIBILITY
AB An early identification of catchments with potential for debris flow (debris flow catchments) is a fundamental step in the investigation and early warning of debris flow disasters. However, when identifying potential debris flow catchments at regional scales, certain methodological challenges exist, such as the subjective determination of drainage area thresholds during catchment delineation, the lack of systematic criteria for selecting negative samples (non-debris-flow catchments), and low model accuracy. To address these issues, we employ the river network density method to achieve a more reasonable delineation of catchment units compared to traditional methods. Additionally, a Self-Organizing Map (SOM) is employed to improve the identification of non-debris-flow catchments. Factors closely associated with debris flow formation related to topography, material sources, and climate are selected as input features. By leveraging the stacking ensemble method, which includes the Random Forest (RF), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) algorithms, a model for identifying potential debris flow catchments is produced. To evaluate the performance of the model, the Wenchuan earthquake area in the northwestern Sichuan Basin was used, where potential debris flow catchments were extracted from the ensemble and compared with the results of individual logistic regression (logit), RF, KNN, SVM models. The comparison of Receiver Operating Characteristic (ROC) curves, Area Under the Curve (AUC), accuracy, precision, recall, and F1 score reveals that the stacking ensemble model achieves values of 0.967, 0.918, 0.918, 0.895, and 0.906, respectively, all of which are higher than those for the individual models. The identification of potential debris flow catchments using this ensemble model can help to screen areas for the deployment of debris flow forecasting and early warning, thereby supporting disaster prevention and mitigation efforts.
C1 [Liu, Dunlong; Zhou, Jing; Sang, Xuejia; Tang, Dan] Chengdu Univ Informat Technol, Coll Software Engn, Chengdu 610225, Peoples R China.
   [Liu, Dunlong; Zhou, Jing; Sang, Xuejia; Tang, Dan] Software Engn Technol Res Support Ctr Informatizat, Chengdu 610225, Peoples R China.
   [Zhang, Shaojie] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Chen, Qiao] Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China.
C3 Chengdu University of Information Technology; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS; Chinese
   Academy of Sciences; Chongqing Institute of Green & Intelligent
   Technology, CAS
RP Sang, XJ (corresponding author), Chengdu Univ Informat Technol, Coll Software Engn, Chengdu 610225, Peoples R China.; Sang, XJ (corresponding author), Software Engn Technol Res Support Ctr Informatizat, Chengdu 610225, Peoples R China.
EM ldl@cuit.edu.cn; 5220243@cuit.edu.cn
TC 0
Z9 0
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1865-0473
EI 1865-0481
PD OCT 2
PY 2025
VL 18
IS 4
AR 515
DI 10.1007/s12145-025-01990-y
SC Computer Science; Geology
UT WOS:001586037900001
ER

PT J
AU Yao, QL
   Qiang, ZJ
AF Yao, Qing-Lin
   Qiang, Zu-Ji
TI The elliptic stress thermal field prior to MS 7.3
   Yutian, and MS 8.0 Wenchuan earthquakes in China in
   2008
SO NATURAL HAZARDS
DT Article
DE Earthquake; Stress; Infrared; Remote sensing; Fault; Wenchuan; Yutian
ID SEISMICALLY ACTIVE AREAS; TECTONICS; ASIA
AB Some thermal infrared anomalies on the earth's surface are omens of stronger earthquakes, and have a close relationship with the stress fields. Satellite-based remote sensing is an important means of monitoring and researching this phenomenon. The M-S 7.3 Yutian earthquake in Xinjiang on March 20, 2008 and the M-S 8.0 Wenchuan earthquake in Sichuan on May 12, 2008 both happened in the Qinghai-Tibet Plateau, China, with epicenters more than 2,000 km apart. The two events, however, were a production of an identical stress field in different developing phases. Prior to the M-S 7.3 Yutian earthquake, a large-scale abnormal temperature rise not only covered the epicenter of the forthcoming Yutian earthquake, but also arrived at the epicenter of the farther Wenchuan earthquake. The revolving elliptic stress thermal field reflecting earthquake gestation moved from the west to the east of the Wenchuan epicenter at the time of the Yutian event occurrence. The rotation of the calefactive ellipses and belts prior to the two strong events agreed with the stress field, the focal mechanism, and modality and mechanism property of the ruptures in the crustal surface induced by the events. It should be a reflection of the partial mantle uprush and rotation.
C1 [Yao, Qing-Lin; Qiang, Zu-Ji] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Yao, QL (corresponding author), China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
EM qlnh@sohu.com
TC 6
Z9 6
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD AUG
PY 2010
VL 54
IS 2
BP 307
EP 322
DI 10.1007/s11069-009-9470-4
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000280960400008
ER

PT J
AU Liao, JJ
   Shen, GZ
AF Liao, Jingjuan
   Shen, Guozhuang
TI Detection of land surface change due to the Wenchuan earthquake using
   multitemporal advanced land observation satellite-phased array type
   L-band synthetic aperture radar data
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE earthquake; change detection; multitemporal; SAR
ID SAR; DECORRELATION
AB A strong earthquake, with a magnitude of 8.0, hit in the Wenchuan area of China on May 12, 2008, resulting in significant changes to the land surface. Remote sensing (RS), especially synthetic aperture radar (SAR) RS technology can play a key role in detecting changes of the land surface. In the present paper, multitemporal Advanced Land Observation Satellite-Phased Array type L-band Synthetic Aperture Radar (ALOS-PALSAR) data acquired on Feb. 17 and May 19, 2008 were used to analyze the land surface changes caused by the Wenchuan earthquake. The characteristics of the land surface in several sites hit by the earthquake are presented, by comparison of pre- and post-seismic images. Subsequently, the land surface changes caused by the earthquake were extracted using change detection and classification methods. To this end, land surface change detection can provide a detailed basis for assessing an earthquakes impact.
C1 [Liao, Jingjuan; Shen, Guozhuang] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences
RP Liao, JJ (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, 20ADatun Rd, Beijing 100101, Peoples R China.
EM jjliao@ceode.ac.cn
TC 6
Z9 6
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031680
DI 10.1117/1.3142466
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700010
ER

PT J
AU Tian, SJ
   Kong, JM
   Li, XZ
AF Tian Shujun
   Kong Jiming
   Li Xiuzhen
TI Forecast method of multimode system for debris flow risk assessment in
   Qingping Town, Sichuan Province, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Multimode System; Risk assessment; Debris flow; Landslide; Wenchuan
   Earthquake; Qingping Town
ID LANDSLIDE SUSCEPTIBILITY; WENCHUAN EARTHQUAKE; SLOPE STABILITY; HAZARD;
   MODEL; AREA; GIS
AB The Wenchuan Earthquake of May 12, 2008 triggered large numbers of geo-hazards. The heavy rain on 13 August 2010 triggered debris flows with total volume of more than 6 million cubic meters and the debris flows destroyed 500 houses and infrastructure built after the Wenchuan Earthquake. The study area Qingping Town was located in the northwestern part of the Sichuan Basin of China, which needs the second reconstructions and the critical evaluation of debris flow. This study takes basin as the study unit and defines collapse, landslide and debris flow hazard as a geo-hazard system. A multimode system composed of principal series system and secondary parallel system were established to evaluate the hazard grade of debris flow in 138 drainage basins of Qingping Town. The evaluation result shows that 30.43% of study basins (42 basins) and 24.58% of study area, are in extremely high or high hazard grades, and both percentage of basin quantity and percentage of area in different hazard grades decrease with the increase of hazard grade. According to the geo-hazard data from the interpretation of unmanned plane image with a 0.5-m resolution and field investigation after the Wenchuan Earthquake and 8.13 Big Debris Flow, the ratio of landslides and collapses increased after the Wenchuan Earthquake and the ratios of extremely high or high hazard grades were more than moderate or low hazard grades obviously. 23 geo-hazards after 8.13 Big Debris Flow in Qingping town region all occurred in basins with extremely high or high hazard grades, and 9 debris flows were in basins with extremely high hazard grade. The model of multimode system for critical evaluation could forecast not only the collapse and landslide but also the debris flow precisely when the basin was taken as the study unit.
C1 [Tian Shujun; Kong Jiming; Li Xiuzhen] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Tian Shujun] SW Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.
   [Kong Jiming; Li Xiuzhen] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
C3 Chinese Academy of Sciences; Southwest University of Science &
   Technology - China; Chinese Academy of Sciences; Institute of Mountain
   Hazards & Environment, CAS
RP Kong, JM (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM jimingk@imde.ac.cn
TC 6
Z9 8
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD AUG
PY 2011
VL 8
IS 4
BP 592
EP 602
DI 10.1007/s11629-011-2130-7
SC Environmental Sciences & Ecology
UT WOS:000293027700011
ER

PT J
AU Wang, M
   Qiao, JP
   He, SM
AF Wang Meng
   Qiao Jianping
   He Siming
TI GIS-based earthquake-triggered landslide hazard zoning using
   contributing weight model
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Earthquake-triggered landslide; GIS; Contributing weight model; Hazard
   zoning
ID SUSCEPTIBILITY; RIVER; AREA; MAPS
AB Earthquake-triggered landslides have aroused widespread attention because of their tremendous ability to harm people's lives and properties. The best way to avoid and mitigate their damage is to develop landslide hazard maps and make them available to the public in advance of an earthquake. Future construction can then be built according to the level of hazard and existing structures can be retrofit as necessary. During recent years various approaches have been made to develop landslide hazard maps using statistical analysis or physical models. However, these methods have limitations. This study introduces a new GIS-based approach, using the contributing weight model, to evaluate the hazard of seismically-induced landslides. In this study, the city and surrounding area of Dujiangyan was selected as the research area because of its moderate-high seismic activity. The parameters incorporated into the model that related to the probability of landslide occurrence were: slope gradient, slope aspect, geomorphology, lithology, base level, surface roughness, earthquake intensity, fault proximity, drainage proximity, and road proximity. The parameters were converted into raster data format with a resolution of 25x25m(2) pixels. Analysis of the GIS correlations shows that the highest earthquake-induced landslide hazard areas are mainly in the hills and in some of the moderately steep mountainous areas of central Dujiangyan. The highest hazard zone covers an area of 11.1% of the study area, and the density distribution of seismically-induced landslides was 3.025/km(2) from the 2008 Wenchuan earthquake. The moderately hazardous areas are mainly distributed within the moderately steep mountainous regions of the northern and southeastern parts of the study area and the hills of the northeastern part; covering 32.0% of the study area and with a density distribution of 2.123/km(2) resulting from the Wenchuan earthquake. The lowest hazard areas are mainly distributed in the topographically flat plain in the northeastern part and some of the relatively gently slopes in the moderately steep mountainous areas of the northern part of Dujiangyan and the surrounding area. The lowest hazard areas cover 56.9% of the study area and exhibited landslide densities of 0.941/km(2) and less from the Wenchuan earthquake. The quality of the hazard map was validated using a comparison with the distribution of landslides that were cataloged as occurring from the Wenchuan earthquake. 43.1% of the study area consists of high and moderate hazardous zones, and these regions include 83.5% of landslides caused by the Wenchuan earthquake. The successful analysis shows that the contributing weight model can be effective for earthquake-triggered landslide hazard appraisal. The model's results can provide the basis for risk management and regional planning is.
C1 [Wang Meng; Qiao Jianping; He Siming] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Geosurface Proc & Mt Hazards, Chengdu 610041, Peoples R China.
   [Wang Meng] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Wang, M (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Geosurface Proc & Mt Hazards, Chengdu 610041, Peoples R China.
EM wm@imde.ac.cn
TC 21
Z9 24
PU SCIENCE CHINA PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
PD DEC
PY 2010
VL 7
IS 4
BP 339
EP 352
DI 10.1007/s11629-010-2054-7
SC Environmental Sciences & Ecology
UT WOS:000284074700004
ER

PT J
AU Tang, CA
   Zhu, J
   Qi, X
AF Tang, Chuan
   Zhu, Jing
   Qi, Xin
TI Landslide hazard assessment of the 2008 Wenchuan earthquake: a case
   study in Beichuan area
SO CANADIAN GEOTECHNICAL JOURNAL
DT Article
DE landslides; hazard mapping; index-based method; geographical information
   system (GIS); Wenchuan earthquake; Beichuan area
ID CHI-CHI-EARTHQUAKE; SICHUAN PROVINCE; SUSCEPTIBILITY ANALYSIS; RISK
   ASSESSMENT; ZONATION; MANAGEMENT; HIMALAYA; IMPACT; TURKEY; RIVER
AB The Wenchuan earthquake (magnitude Ms = 8.0) of 12 May 2008 triggered widespread and large-scale landslides over an area of about 50 000 km(2). A study was undertaken to determine the primary factors associated with seismic landslide occurrence. An index-based approach used to assess earthquake-triggered landslide hazard in the central part of the Wenchuan earthquake area affected is described. Slope gradient, relief amplitude, lithology, bedding-slope relations, fault proximity, stream proximity, and antecedent rainfall are recognized as factors that may have had an important influence on landslide occurrence. The assessment of the influence of each of these factors is presented through use of a series of maps showing areas of low, moderate, high, and very high landslide hazard. Areas identified as having "very high and high landslide hazard" were located along the earthquake-source fault and along both banks of the Jian River. The role of rainfall is very significant for future landslide occurrence in the earthquake area. The results of this study will assist decision makers in the selection of safe sites during the reconstruction process. The maps can also be used for landslide risk management in the study area.
C1 [Tang, Chuan; Zhu, Jing; Qi, Xin] Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Tang, CA (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Peoples R China.
EM tangc707@gmail.com
TC 43
Z9 50
PU CANADIAN SCIENCE PUBLISHING
PI OTTAWA
PA 65 AURIGA DR, SUITE 203, OTTAWA, ON K2E 7W6, CANADA
SN 0008-3674
EI 1208-6010
PD JAN
PY 2011
VL 48
IS 1
BP 128
EP 145
DI 10.1139/T10-059
SC Engineering; Geology
UT WOS:000285556400010
ER

PT J
AU Wang, XD
   Wang, C
   Zhang, CB
AF Wang, Xuedong
   Wang, Cui
   Zhang, Chaobiao
TI Early warning of debris flow using optimized self-organizing feature
   mapping network
SO WATER SUPPLY
DT Article
DE debris flow; early warning; infinite irrelevance method; self-organizing
   feature mapping
ID RAINFALL THRESHOLDS; SHALLOW LANDSLIDES; NEURAL-NETWORK; WENCHUAN
   EARTHQUAKE; SYSTEM; MODEL; STEPWISE; DEVICE; AREAS
AB Early warning of debris flow is one of the core contents of disaster prevention and mitigation work for debris flow disasters. There are few early warning methods based on the combination of rainfall threshold and geological environment conditions. In this paper, we presented an early warning method for debris flow based on the infinite irrelevance method (IIM) and self-organizing feature mapping (SOFM), and applied it to Liaoning Province, China. The proposed model consisted of three stages. Firstly, eight geological environmental conditions and two rainfall-inducing conditions were selected by analyzing the factors affecting the development of debris flow in the study area, and the rainfall threshold for debris flow outbreak was 150 mm. Secondly, the correlation between various factors was analyzed by IIM, which prevented the blindness of parameter selection and improved the prediction accuracy of the model. Finally, SOFM was employed to predict the test data. Experimental results showed that the IIM-SOFM model had a strong early warning ability. When 25 samples of low-frequency debris flow area were selected, the accuracy rate of the IIM-SOFM model with optimized network structure parameters was 100%, which it was obviously superior to the rainfall threshold method, BP neural network and competitive neural network. Consequently, it is feasible to use the IIM-SOFM model for early warning of debris flow, outperforming traditional machine learning methods.
C1 [Wang, Xuedong; Wang, Cui; Zhang, Chaobiao] Liaoning Tech Univ, Coll Min, Zhonghua Rd 47, Fuxin 123000, Peoples R China.
   [Wang, Xuedong] Liaoning Tech Univ, Zhonghua Rd 47, Fuxin 123000, Peoples R China.
C3 Liaoning Technical University; Liaoning Technical University
RP Wang, XD (corresponding author), Liaoning Tech Univ, Coll Min, Zhonghua Rd 47, Fuxin 123000, Peoples R China.; Wang, XD (corresponding author), Liaoning Tech Univ, Zhonghua Rd 47, Fuxin 123000, Peoples R China.
EM jilindaxue318@163.com
TC 8
Z9 8
PU IWA PUBLISHING
PI LONDON
PA REPUBLIC-EXPORT BLDG, UNITS 1 04 & 1 05, 1 CLOVE CRESCENT, LONDON,
   ENGLAND
SN 1606-9749
EI 1607-0798
PD NOV
PY 2020
VL 20
IS 7
BP 2455
EP 2470
DI 10.2166/ws.2020.142
SC Engineering; Environmental Sciences & Ecology; Water Resources
UT WOS:000617139900002
ER

PT J
AU Chen, Y
   Wei, YM
   Wang, QJ
   Chen, F
   Lu, CY
   Lei, SH
AF Chen, Yu
   Wei, Yongming
   Wang, Qinjun
   Chen, Fang
   Lu, Chunyan
   Lei, Shaohua
TI Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach
SO REMOTE SENSING
DT Article
DE landslide susceptibility mapping (LSM); convolutional neural network
   (CNN); U-net; post-earthquake; support vector machine (SVM); logistic
   regression (LR)
ID EARTHQUAKE-INDUCED LANDSLIDES; WENCHUAN EARTHQUAKE; FREQUENCY RATIO;
   GIS; PREDICTION; MACHINE; MODELS; SYSTEM; AREA
AB A serious earthquake could trigger thousands of landslides and produce some slopes more sensitive to slide in future. Landslides could threaten human's lives and properties, and thus mapping the post-earthquake landslide susceptibility is very valuable for a rapid response to landslide disasters in terms of relief resource allocation and posterior earthquake reconstruction. Previous researchers have proposed many methods to map landslide susceptibility but seldom considered the spatial structure information of the factors that influence a slide. In this study, we first developed a U-net like model suitable for mapping post-earthquake landslide susceptibility. The post-earthquake high spatial airborne images were used for producing a landslide inventory. Pre-earthquake Landsat TM (Thematic Mapper) images and the influencing factors such as digital elevation model (DEM), slope, aspect, multi-scale topographic position index (mTPI), lithology, fault, road network, streams network, and macroseismic intensity (MI) were prepared as the input layers of the model. Application of the model to the heavy-hit area of the destructive 2008 Wenchuan earthquake resulted in a high validation accuracy (precision 0.77, recall 0.90, F1 score 0.83, and AUC 0.90). The performance of this U-net like model was also compared with those of traditional logistic regression (LR) and support vector machine (SVM) models on both the model area and independent testing area with the former being stronger than the two traditional models. The U-net like model introduced in this paper provides us the inspiration that balancing the environmental influence of a pixel itself and its surrounding pixels to perform a better landslide susceptibility mapping (LSM) task is useful and feasible when using remote sensing and GIS technology.
C1 [Chen, Yu; Wei, Yongming; Wang, Qinjun; Chen, Fang] Chinese Acad Sci, Aerosp Informat Res Inst, CAS Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Wang, Qinjun] Chinese Acad Sci, Hainan Res Inst, Key Lab Earth Observat Hainan Prov, Aerosp Informat Res Inst, Sanya 572029, Peoples R China.
   [Lu, Chunyan] Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou 350002, Peoples R China.
   [Lei, Shaohua] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China.
C3 Chinese Academy of Sciences; Aerospace Information Research Institute,
   CAS; Chinese Academy of Sciences; Aerospace Information Research
   Institute, CAS; Fujian Agriculture & Forestry University; Nanjing Normal
   University
RP Chen, Y (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, CAS Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM chenyu@radi.ac.cn; wei_fu@sina.com; wangqj@radi.ac.cn;
   chenfang@radi.ac.cn; luchunyan@fafu.edu.cn; 171301035@stu.njnu.edu.cn
TC 27
Z9 30
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD SEP
PY 2020
VL 12
IS 17
AR 2767
DI 10.3390/rs12172767
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000569642300001
ER

PT J
AU Tian, YY
   Owen, LA
   Xu, C
   Ma, SY
   Li, K
   Xu, XW
   Figueiredo, PM
   Kang, WJ
   Guo, P
   Wang, SY
   Liang, XH
   Maharjan, SB
AF Tian, Yingying
   Owen, Lewis A.
   Xu, Chong
   Ma, Siyuan
   Li, Kang
   Xu, Xiwei
   Figueiredo, Paula Marques
   Kang, Wenjun
   Guo, Peng
   Wang, Siyu
   Liang, Xiaohua
   Maharjan, Sudan Bikash
TI Landslide development within 3 years after the 2015
   Mw 7.8 Gorkha earthquake, Nepal
SO LANDSLIDES
DT Article
DE 2015 Gorkha earthquake; Nepal; Himalaya; Landsliding; Ground-based
   investigation; UAV photography; Remote sensing
ID 2005 KASHMIR EARTHQUAKE; RAINFALL-INDUCED LANDSLIDES; LARGE-SCALE
   LANDSLIDES; WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; JIUZHAIGOU
   EARTHQUAKE; COSEISMIC LANDSLIDES; CHINA; SICHUAN; AREA
AB The Araniko and Pasang Lhamu highways are two critical trading routes connecting Nepal and China that are experiencing and are threatened by landsliding. The April 25 M-w 7.8 Gorkha earthquake and its May 12 M-w 7.3 aftershock in 2015 significantly increased landsliding along these highways. Multi-temporal remote sensing images (pre-seismic to December 2017) on Google Earth, aerial photography acquired in 2018 using an unmanned aerial vehicle (UAV), and field investigations and surveys in June 2015, November-December 2017, and April-May 2018 quantify the development of selected landslides after the earthquake along the two highways. These include detailed studies of 39 and 30 landslide locations in 2017 and 2018, respectively, with 14 locations common to both the 2017 and 2018 studies. Only the landslides in five locations showed a slight decrease in activity after the earthquake, and most landslides continued to move and enlarge. More than five new landslides were triggered by monsoon rainfalls in the summers of 2017 and 2018. All the landslides pose significant challenges for infrastructure reconstruction and hazard reduction in the area affected by the Gorkha earthquake, especially along the Araniko and Pasang Lhamu highways. Comparison of landslide debris volume, pre- and post- earthquake rainfalls, and earthquakes that occurred before and after the 2015 Gorkha earthquake with the 1999 Chi-Chi, 2005 Kashmir, and 2008 Wenchuan earthquakes show that continuing rainfall after earthquakes and strong aftershock shaking are key factors affecting continued landsliding in these earthquake-effected areas.
C1 [Tian, Yingying; Xu, Chong; Ma, Siyuan; Li, Kang; Xu, Xiwei; Kang, Wenjun; Guo, Peng; Wang, Siyu; Liang, Xiaohua] China Earthquake Adm, Key Lab Act Tecton & Volcano, Inst Geol, Beijing 100029, Peoples R China.
   [Owen, Lewis A.; Figueiredo, Paula Marques] North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA.
   [Xu, Chong; Li, Kang; Xu, Xiwei] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
   [Wang, Siyu] Univ Victoria, Sch Earth & Ocean Sci, Victoria, BC V8P 5C2, Canada.
   [Maharjan, Sudan Bikash] Int Ctr Integrated Mt Dev ICIMOD, Kathmandu 44700, Nepal.
C3 China Earthquake Administration; Institute of Geology, CEA; North
   Carolina State University; China Earthquake Administration; University
   of Victoria
RP Xu, C (corresponding author), China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
EM xc11111111@126.com
TC 44
Z9 48
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD MAY
PY 2020
VL 17
IS 5
BP 1251
EP 1267
DI 10.1007/s10346-020-01366-x
EA FEB 2020
SC Engineering; Geology
UT WOS:000516016400001
ER

PT J
AU Li, ZW
   Jiao, QJ
   Liu, LY
   Tang, H
   Liu, T
AF Li, Zhenwang
   Jiao, Quanjun
   Liu, Liangyun
   Tang, Huan
   Liu, Tong
TI Monitoring Geologic Hazards and Vegetation Recovery in the Wenchuan
   Earthquake Region Using Aerial Photography
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE Wenchuan earthquake; landslide; debris flow; vegetation recovery; aerial
   photography
ID LANDSLIDE SUSCEPTIBILITY; GIS; DISASTER; RECONSTRUCTION; IMAGERY;
   IMPACT; CHINA; AREA
AB On 12 May 2008, the 8.0-magnitude Wenchuan earthquake occurred in Sichuan Province, China, triggering thousands of landslides, debris flows, and barrier lakes, leading to a substantial loss of life and damage to the local environment and infrastructure. This study aimed to monitor the status of geologic hazards and vegetation recovery in a post-earthquake disaster area using high-resolution aerial photography from 2008 to 2011, acquired from the Center for Earth Observation and Digital Earth (CEODE), Chinese Academy of Sciences. The distribution and range of hazards were identified in 15 large, representative geologic hazard areas triggered by the Wenchuan earthquake. After conducting an overlay analysis, the variations of these hazards between successive years were analyzed to reflect the geologic hazard development and vegetation recovery. The results showed that in the first year after the Wenchuan earthquake, debris flows occurred frequently with high intensity. Resultantly, with the source material becoming less available and the slope structure stabilizing, the intensity and frequency of debris flows gradually decreased with time. The development rate of debris flows between 2008 and 2011 was 3% per year. The lithology played a dominant role in the formation of debris flows, and the topography and hazard size in the earthquake affected area also had an influence on the debris flow development process. Meanwhile, the overall geologic hazard area decreased at 12% per year, and the vegetation recovery on the landslide mass was 15% to 20% per year between 2008 and 2011. The outcomes of this study provide supporting data for ecological recovery as well as debris flow control and prevention projects in hazard-prone areas.
C1 [Li, Zhenwang; Jiao, Quanjun; Liu, Liangyun; Tang, Huan; Liu, Tong] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
   [Li, Zhenwang; Tang, Huan] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100094, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Agricultural Sciences; Institute of
   Agricultural Resources & Regional Planning, CAAS
RP Liu, LY (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
EM lizhenwang10@hotmail.com; jiaoqj@radi.ac.cn; liuly@radi.ac.cn;
   tanghuan_2011@hotmail.com; tliu@ceode.ac.cn
TC 14
Z9 14
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD MAR
PY 2014
VL 3
IS 1
BP 368
EP 390
DI 10.3390/ijgi3010368
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000358932700019
ER

PT J
AU Huang, ZB
   Xu, M
   Chen, W
   Lin, XJ
   Cao, CX
   Singh, RP
AF Huang, Zhibin
   Xu, Min
   Chen, Wei
   Lin, Xiaojuan
   Cao, Chunxiang
   Singh, Ramesh P.
TI Postseismic Restoration of the Ecological Environment in the Wenchuan
   Region Using Satellite Data
SO SUSTAINABILITY
DT Article
DE gray correlation analysis; ecological conditions; multisource
   remote-sensing data; Wenchuan earthquake; spatiotemporal analysis
ID SECURITY; COUNTY; AREA; RISK
AB Using Landsat remote-sensing data combined with geological information extracted from ALOS and Sentinel-1A radar data, the ecological environment was evaluated in the years 2007, 2008, 2013, and 2017 through gray correlation analysis on the basis of the construction of the pressure-state-response model. The main objective of this research was to assess the ecological environment changes in Wenchuan County before and after the earthquake, and to provide reference for future social development and policy implementation. The grading map of the ecological environment was obtained for every year, and the ecological restoration status of Wenchuan County after the earthquake was evaluated. The results showed that the maximum area cover at a safe ecological level was over 46.4% in 2007. After the 2008 earthquake, the proportion of unsafe and very unsafe ecological levels was 40.0%, especially around the Lancang River and the western mountain area in Wenchuan County. After five years of restoration, ecological conditions were improved, up to 48.0% in the region. The areas at critically safe and above recovered to 85.5% in 2017 within nine years after the deadly Wenchuan earthquake of May 12, 2008. In this paper, we discuss the results of detailed analysis of ecological improvements and correlation with the degrees of pressure, state, and response layers of the Pressure-State-Response (PSR) model.
C1 [Huang, Zhibin; Xu, Min; Chen, Wei; Lin, Xiaojuan; Cao, Chunxiang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Huang, Zhibin; Lin, Xiaojuan] Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100094, Peoples R China.
   [Singh, Ramesh P.] Chapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, Orange, CA 92866 USA.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS; Chapman University System; Chapman University
RP Cao, CX (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.; Singh, RP (corresponding author), Chapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, Orange, CA 92866 USA.
EM huangzhibin18@mails.ucas.ac.cn; xumin@radi.ac.cn; chenwei@radi.ac.cn;
   linxiaojuan18@mails.ucas.ac.cn; caocx@radi.ac.cn; rsingh@chapman.edu
TC 5
Z9 5
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
PD NOV
PY 2018
VL 10
IS 11
AR 3990
DI 10.3390/su10113990
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000451531700164
ER

PT J
AU Cao, CX
   Yang, B
   Xu, M
   Li, XW
   Singh, RP
   Zhao, XJ
   Chen, W
AF Cao, Chunxiang
   Yang, Bin
   Xu, Min
   Li, Xiaowen
   Singh, Ramesh P.
   Zhao, Xiaojie
   Chen, Wei
TI Evaluation and analysis of post-seismic restoration of ecological
   security in Wenchuan using remote sensing and GIS
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Wenchuan earthquake; ecological security; ecological evaluation;
   pressure-state-response; analytic hierarchy process; spatio-temporal
   analysis
ID VULNERABILITY EVALUATION; EARTHQUAKE; CHINA; GUANGZHOU; PATTERN; REGION;
   BASIN
AB Aiming at studying the ecological security in Wenchuan, China, where the ecological system had been greatly damaged by the earthquake in 2008, an evaluation indicators system was established based on the pressure-state-response (PSR) model, and the indicators were derived from remote sensing images, meteorological data, and statistical data. Ecological security indexes in 2007, 2008, and 2013 were calculated through a comprehensive index method. Then the spatio-temporal analysis on ecological security was conducted. Particularly, the changes of ecological security were centrally analyzed concerning topography, land use types, vegetation coverage, as well as ecological PSR. It is found that the ecological security in Wenchuan presented a distinct vertical-belt distribution. It was damaged by the earthquake, however, it had been improved obviously by 2013, which still did not reach the level in 2007. Meanwhile, the epicentre, the Minjiang River and the southwestern mountains have typically regional characteristics, where the changes of ecological security were analyzed elaborately. The ecological security of these regions had been differently restored compared with 2007. However, there were still some regions with unsafe ecological security. Finally, the studied area was divided into four regions with different protection strategies and some recommendations were provided for further ecological protection.
C1 [Cao, Chunxiang; Yang, Bin; Xu, Min; Li, Xiaowen; Zhao, Xiaojie; Chen, Wei] Chinese Acad Sci, Beijing Normal Univ, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.
   [Yang, Bin; Zhao, Xiaojie] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Singh, Ramesh P.] Chapman Univ, Sch Earth & Environm Sci, Schmid Coll Sci & Technol, Orange, CA USA.
C3 Beijing Normal University; Chinese Academy of Sciences; The Institute of
   Remote Sensing & Digital Earth, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS; Chapman University
   System; Chapman University
RP Cao, CX; Chen, W (corresponding author), Chinese Acad Sci, Beijing Normal Univ, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.
EM caocx@radi.ac.cn; chenwei@radi.ac.cn
TC 15
Z9 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PY 2016
VL 7
IS 6
BP 1919
EP 1936
DI 10.1080/19475705.2015.1084952
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000382556200012
ER

PT J
AU Lin, JW
AF Lin, Jyh-Woei
TI Early warning of tsunami from seismo-ionospheric fluctuation after
   Japan's March 11, 2011, M=9.0 Tohoku earthquake using
   two-dimensional principal component analysis
SO ANNALS OF GEOPHYSICS
DT Article
ID ELECTRON-CONTENT OBSERVATION; PACIFIC COAST; WENCHUAN EARTHQUAKE; WAVES;
   STORM
AB Two-dimensional principal component analysis (2DPCA) is implemented to analyze the total electron content (TEC) anomalies after Japan's Tohoku earthquake that occurred at 05: 46 on March 11, 2011 (UTC) (M-w=9). 2DPCA and TEC data processing were conducted just after this devastating earthquake. Analysis results show an earthquake-associated TEC anomaly near the epicenter that began at 05:47. This may represent an extension of the precursor of the earthquake, to the precursor of China's Wenchuan earthquake on May 12, 2008, detected by the study of Lin [2012], for which the data were obtained at a height of 150200 km by the FORMOSAT-3 satellite system. It is impossible that such precursor caused by the acoustic shock waves. Another TEC anomaly near the epicenter occurred at 05: 53, and this initiated the propagation of the tsunami effect related to the ionosphere through the acoustic shock waves from the epicenter. However, the TEC anomalies did not appear to be affected by a contemporaneous geomagnetic storm and other non-earthquake effects. The propagation of anomalous fluctuation could be an early warning of the tsunami for the regions far from the epicenter as it began to propagate with the higher speed of 3960-4950 km/h than the tsunami speed (720-800 km/h).
C1 [Lin, Jyh-Woei] Natl Cheng Kung Univ, Dept Earth Sci, Tainan 701, Taiwan.
C3 National Cheng Kung University
RP Lin, JW (corresponding author), Natl Cheng Kung Univ, Dept Earth Sci, Tainan 701, Taiwan.
EM pgjwl1966@gmail.com
TC 4
Z9 4
PU IST NAZIONALE DI GEOFISICA E VULCANOLOGIA
PI ROME
PA VIA VIGNA MURATA 605, ROME, 00143, ITALY
SN 1593-5213
EI 2037-416X
PY 2015
VL 58
IS 4
AR A0442
DI 10.4401/ag-6710
SC Geochemistry & Geophysics
UT WOS:000368025600009
ER

PT J
AU Ye, CM
   Cui, P
   Pirasteh, S
   Li, J
   Meng, QK
   Bi, XJ
   Zhang, JQ
AF Ye Cheng-ming
   Cui Peng
   Pirasteh, Saied
   Li, Jonathan
   Meng Qingkai
   Bi Xiao-jia
   Zhang Jian-qiang
TI GiT-based structural geologic feature analysis of the southern segment
   of Longmenshan fault zone for earthquake evidence
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Longmenshan fault zone; Geoinformation Technologies (GiT); Remote
   Sensing (RS); Earthquake; Crustal movement
ID GEO-INFORMATION-TECHNOLOGY; WENCHUAN EARTHQUAKE; WEST IRAN; DEFORMATION;
   SYSTEM
AB The Longmenshan fault is a thrust fault which runs along the base of the Longmen Mountains in Sichuan province, southwestern China. The southern segment of the fault had two distinct responses to the Ms 8 Wenchuan and Ms 7 Lushan earthquakes. This study determines characteristics of the structural geology of the Longmenshan fault to evaluate how it influenced the two aforementioned earthquakes. This research was done within a Geo-information Technologies (GiT) environment based on multi-source remote sensing and crustal movement data extracted from the Global Positioning System (GPS). The spatial distribution of the southern segment of the Longmenshan fault zone was comprehensively analyzed to study both earthquakes. The study revealed that the Wenchuan and Lushan earthquakes occurred on two relatively independent faults. In addition, there was a nearly constant-velocity crustal movement zone between the two epicenters that probably had a compressive stress with slow motion. Furthermore, the central fault and a mountain back fault gradually merged from north to south. The Lushan earthquake was not an aftershock of the Wenchuan earthquake. The research showed that fault zones within 30-50 km of State Highway 318 are intensive and complex. In addition, crustal movement velocity decreased rapidly, with a strong multi-directional shear zone. Thus, activity in that zone was likely stronger than in the northern part over the medium to long term.
C1 [Ye Cheng-ming; Cui Peng; Zhang Jian-qiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Ye Cheng-ming; Meng Qingkai] Chengdu Univ Technol, Key Lab Earth Explorat & Informat Technol, Minist Educ, Chengdu 610059, Peoples R China.
   [Pirasteh, Saied; Li, Jonathan] Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Bi Xiao-jia] Chengdu Earthquake Mitigat Bur, Chengdu 610042, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; University of
   Waterloo
RP Ye, CM (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.; Ye, CM (corresponding author), Chengdu Univ Technol, Key Lab Earth Explorat & Informat Technol, Minist Educ, Chengdu 610059, Peoples R China.; Pirasteh, S (corresponding author), Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
EM rsgis@sina.com; pengcui@imde.ac.cn; s2pirast@uwaterloo.ca;
   junli@uwaterloo.ca; 178919968@qq.com; 19748146@qq.com;
   zhangjianqiang83@163.com
TC 4
Z9 4
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD MAY
PY 2016
VL 13
IS 5
BP 906
EP 916
DI 10.1007/s11629-015-3796-z
SC Environmental Sciences & Ecology
UT WOS:000375790800013
ER

PT J
AU Duan, XF
   Qi, PY
   Tian, Z
AF Duan, Xifa
   Qi, Peiyan
   Tian, Zheng
TI Registration for Variform Object of Remote-Sensing Image Using Improved
   Robust Weighted Kernel Principal Component Analysis
SO JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
DT Article
DE Remote-sensing image; Variform object; Kernel principal component
   analysis (KPCA); Improved robust weighted KPCA; Graph spectral method;
   Outliers
ID FEATURES; SPACE; CUTS
AB For pre- and post-earthquake remote-sensing images, registration is a challenging task due to the possible deformations of the objects to be registered. To overcome this problem, in a previous paper, we proposed a registration method based on robust weighted kernel principal component analysis (RWKPCA) to precisely register the variform objects. Which was proved very effective in capturing the common robust kernel principal components (RKPCs) and generalized well for registration. Compared with previous paper, there are two improvements in this paper: Firstly, we developed the improved RWKPCA method from the robust loss function, and theoretically proved the robustness of the method; Secondly, a new construction of weight function by projection residual was given, which enables the great reduction of computing time. Finally, two experiments were conducted on the remote-sensing image registration in Wenchuan earthquake and change detection of Tangjiashan barrier lake, and the results showed that compared with the previous method, the registration accuracy was increased while the computational time was decreased a lot. Meanwhile, good performance on the change detection of barrier lake is obtained.
C1 [Duan, Xifa; Qi, Peiyan] Taiyuan Univ Sci & Technol, Dept Appl Math, 66 Waliu Rd, Taiyuan 030024, Peoples R China.
   [Duan, Xifa; Qi, Peiyan; Tian, Zheng] Northwestern Polytech Univ, Dept Appl Math, Xian 710129, Peoples R China.
C3 Taiyuan University of Science & Technology; Northwestern Polytechnical
   University
RP Duan, XF (corresponding author), Taiyuan Univ Sci & Technol, Dept Appl Math, 66 Waliu Rd, Taiyuan 030024, Peoples R China.; Duan, XF (corresponding author), Northwestern Polytech Univ, Dept Appl Math, Xian 710129, Peoples R China.
EM xfduan@163.com
TC 2
Z9 3
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0255-660X
EI 0974-3006
PD OCT
PY 2016
VL 44
IS 5
BP 675
EP 686
DI 10.1007/s12524-015-0545-2
SC Environmental Sciences & Ecology; Remote Sensing
UT WOS:000382664900002
ER

PT J
AU Yang, Y
   Chen, M
   Cai, YH
   Tang, CX
   Huang, WL
   Xia, CH
AF Yang, Yu
   Chen, Ming
   Cai, Yinghua
   Tang, Chenxiao
   Huang, Wenli
   Xia, Chenhao
TI Material Activity in Debris Flow Watersheds Pre- and Post-Strong
   Earthquake: A Case Study from the Wenchuan Earthquake Epicenter
SO WATER
DT Article
DE Wenchuan earthquake; remote sensing interpretation; landslide; channel
   materiel; debris flow
ID LANDSLIDES; EVOLUTION; CATCHMENT; TRANSPORT; DELIVERY; IMPACT; RIVER;
   AREA
AB The 2008 Wenchuan earthquake released vast quantities of loose material, significantly influencing post-earthquake material dynamics, particularly through recurrent debris flow disasters that posed long-term threats to the earthquake-affected area. To explore the transport and involvement of loose materials in debris flow events within earthquake-affected basins, this study focuses on a representative area near the Wenchuan epicenter, creating a multi-temporal database of active landslides and channel materials pre- and post-earthquake, quantitatively assessing material transport and source replenishment in debris flow basins, and categorizing debris flows based on channel material activity, post-earthquake historical activity, and sustainability of activity. This study revealed that pre-earthquake material activity was concentrated in the watershed's upper regions, while post-earthquake materials were progressively transported from the central to the lower regions, with many small co-seismic landslides ceasing activity. The supply area ratio from active landslides capable of recharging debris flows, i.e., those connected to channels, consistently remained at approximately 72%, with the peak area of channel material activity comprising approximately 2.5% of the total watershed area. Channel material activity areas serve as valuable indicators for hazard assessment in regions lacking historical debris flow data, with the watershed area predominantly determining the sustainability of post-earthquake debris flow activity.
C1 [Yang, Yu] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China.
   [Chen, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Cai, Yinghua; Huang, Wenli] Zhaozhi Future Technol Chengdu Co Ltd, Chengdu 610096, Peoples R China.
   [Tang, Chenxiao] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610044, Peoples R China.
   [Xia, Chenhao] Nucl Ind Southwest Geotech Invest & Design Inst Co, Chengdu 610052, Peoples R China.
C3 Xihua University; Chengdu University of Technology; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS
RP Chen, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM yangyu.cdut@gmail.com; chenminggeo@163.com; yinghuacai214@gmail.com;
   c.tang@imde.ac.cn; 18280406282@163.com; xchlll520@163.com
TC 1
Z9 1
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
PD AUG
PY 2024
VL 16
IS 16
AR 2284
DI 10.3390/w16162284
SC Environmental Sciences & Ecology; Water Resources
UT WOS:001307511400001
ER

PT J
AU Li, ML
   Jiang, YJ
   Yang, T
   Huang, QB
   Qiao, JP
   Yang, ZJ
AF Li, Ming-li
   Jiang, Yuan-jun
   Yang, Tao
   Huang, Qiang-bing
   Qiao, Jian-ping
   Yang, Zong-ji
TI Early warning model for slope debris flow initiation
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Slope debris flow; Artificial rainfall model; Early warning model; Model
   experiment
ID SHALLOW LANDSLIDES; WENCHUAN EARTHQUAKE; RAINFALL THRESHOLDS; INTENSITY
AB Early warning model of debris flow is important for providing local residents with reliable and accurate warning information to escape from debris flow hazards. This research studied the debris flow initiation in the Yindongzi gully in Dujiangyan City, Sichuan province, China with scaled-down model experiments. We set rainfall intensity and slope angle as dominating parameters and carried out 20 scaled-down model tests under artificial rainfall conditions. The experiments set four slope angles (32A degrees, 34A degrees, 37A degrees, 42A degrees) and five rainfall intensities (60 mm/h, 90 mm/h, 120 mm/h, 150 mm/h, and 180 mm/h) treatments. The characteristic variables in the experiments, such as, rainfall duration, pore water pressure, moisture content, surface inclination, and volume were monitored. The experimental results revealed the failure mode of loose slope material and the process of slope debris flow initiation, as well as the relationship between the surface deformation and the physical parameters of experimental model. A traditional rainfall intensity-duration early warning model (I-D model) was firstly established by using a mathematical regression analysis, and it was then improved into ISD model and ISM model (Here, I is rainfall Intensity, S is Slope angle, D is rainfall Duration, and M is Moisture content). The warning model can provide reliable early warning of slope debris flow initiation.
C1 [Li, Ming-li; Jiang, Yuan-jun; Qiao, Jian-ping; Yang, Zong-ji] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Li, Ming-li] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Yang, Tao] Sichuan Bur Geol & Mineral Resources, Chengdu Ctr Hydrogeol & Engn Geol, Chengdu 610000, Sichuan, Peoples R China.
   [Huang, Qiang-bing] Changan Univ, Dept Geol Engn, Xian 710054, Shaanxi, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Chang'an University
RP Jiang, YJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM limingliaaaa@imde.ac.cn; yuanjun.jiang.civil@gmail.com;
   yangtao57900@163.com; dcdgx24@chd.edu.cn; jpqiao@imde.ac.cn;
   yzj@imde.ac.cn
TC 11
Z9 11
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2018
VL 15
IS 6
BP 1342
EP 1353
DI 10.1007/s11629-017-4779-z
SC Environmental Sciences & Ecology
UT WOS:000435362700014
ER

PT J
AU Liu, ZM
   Zhang, JF
   Li, X
   Chen, XL
AF Liu, Zhumei
   Zhang, Jingfa
   Li, Xue
   Chen, Xiaolin
TI Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected
   Counties Using DMSP-OLS Nighttime Light Images
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Resilience; Earthquakes; Economics; Sociology; Computational modeling;
   Urban areas; Soil; Earthquake; hazards; linear regression; remote
   sensing; rural areas
ID INFRASTRUCTURE SYSTEMS; DISASTER RESILIENCE; RECOVERY; FRAMEWORK; AREA
AB This article demonstrates the potential of Defense Meteorological Satellite Program-Operational Linescan System stable nighttime light imagery for county-level earthquake resilience analysis. In this article, we firstly intercalibrated the nighttime light data and calculated the total sum of stable lights for each of the 261 counties affected by the Mw 7.9 Wenchuan earthquake from 1992 to 2013; secondly established an earthquake resilience model based on a nighttime light index to analyze the static and dynamic resilience of different counties; and lastly discussed the possible influencing factors from geographic, disaster-related, political and socioeconomic perspectives. The results first show that the static resilience of the extremely hard-hit counties in the Wenchuan earthquake-affected area increased from south to north along the long axis of the intensity zone, and plain and hilly counties exhibited faster short-term economic recovery than plateau and mountainous counties. Moreover, all extremely hard-hit counties except Wenchuan, Dujiangyan and Pingwu recovered to the normal level before 2011, whereas 52% of the counties in the generally affected areas recovered within three years. Through linear regression analysis, we also found that the different earthquake resilience capabilities across counties are most likely related to the soil liquefaction risk, average elevation, land-use degree, and socioeconomic factors, such as the industrial structure, the population age distribution, and social welfare.
C1 [Liu, Zhumei] China Earthquake Adm, Key Lab Earthquake Engn & Engn Vibrat, Inst Engn Mech, Harbin, Peoples R China.
   [Liu, Zhumei; Li, Xue; Chen, Xiaolin] China Earthquake Adm, Key Lab Earthquake Geodesy, Inst Seismol, Wuhan 430071, Peoples R China.
   [Zhang, Jingfa] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
C3 China Earthquake Administration; Institute of Engineering Mechanics,
   CEA; China Earthquake Administration
RP Li, X (corresponding author), China Earthquake Adm, Key Lab Earthquake Geodesy, Inst Seismol, Wuhan 430071, Peoples R China.; Zhang, JF (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
EM ailiuzhumei@163.com; zhangjingfa@hotmail.com; leexue1211@126.com;
   cxlcug@126.com
TC 14
Z9 15
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2021
VL 14
BP 10854
EP 10874
DI 10.1109/JSTARS.2021.3121789
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000714714100006
ER

PT J
AU Cui, P
   Zhu, YY
   Han, YS
   Chen, XQ
   Zhuang, JQ
AF Cui, Peng
   Zhu, Ying-yan
   Han, Yong-shun
   Chen, Xiao-qing
   Zhuang, Jian-qi
TI The 12 May Wenchuan earthquake-induced landslide lakes: distribution and
   preliminary risk evaluation
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Landslide lake; Flood outburst; Risk evaluation
ID RIVER; DAMS
AB The Wenchuan earthquake, measured at M (s) 8.0 according to the China Earthquake Administration, occurred at 14:28 on 12 May 2008 in the Sichuan Province of China. It brought overwhelming destruction to eight provinces and cities. Landslides and rock avalanches triggered by the earthquake produced 257 landslide lakes which were distributed along the fault rupture zone and river channels. The authors traveled to the disaster zone immediately after the earthquake to examine some of the features of the debris dams and performed a quick evaluation of the potential for outburst of earthquake-induced landslide lakes for the purpose of disaster relief. The preliminary analysis indicated that the landslide lakes could be classified as those exhibiting extremely high risk, medium risk, and low risk according to field observations and remote sensing, to determine material composition, dam structure, dam height, maximum water storage capacity, and size of the population potentially affected area. The failure risk of 21 debris dams were evaluated as follows: one dam with an extremely high danger risk, seven dams with a high danger, five dams with a medium danger, and eight dams of low danger. More concern was given to the Tangjiashan Lake and different scenarios for the potential sudden failure of its dam were assessed. The risk evaluation result was accepted in full, by the earthquake disaster relief office. A successful emergency dam treatment for risk reduction was planned, based on our assessments, and these measures were quickly carried out. According to this research, the earthquake destabilized the surrounding mountains, resulting in a prolonged geohazard for the area. Landslides and debris flows will continue to develop for at least 5 to 10 years after the Wenchuan earthquake and will produce additional dammed lakes. Recommendations and plans for earthquake-landslide lake mitigation were proposed, based on past successful practices.
C1 [Cui, Peng; Zhu, Ying-yan; Chen, Xiao-qing; Zhuang, Jian-qi] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Cui, Peng; Zhu, Ying-yan; Chen, Xiao-qing; Zhuang, Jian-qi] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Han, Yong-shun] Hunan Univ Sci & Technol, Xiangtan, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; Hunan University of
   Science & Technology
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, POB 417, Chengdu 610041, Sichuan, Peoples R China.
EM pengcui@imde.ac.cn
TC 317
Z9 383
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD SEP
PY 2009
VL 6
IS 3
BP 209
EP 223
DI 10.1007/s10346-009-0160-9
SC Engineering; Geology
UT WOS:000269858800004
ER

PT J
AU Huang, X
   Tang, CA
AF Huang, Xun
   Tang, Chuan
TI Formation and activation of catastrophic debris flows in Baishui River
   basin, Sichuan Province, China
SO LANDSLIDES
DT Article
DE Debris flows; Triggering rainfall; Initiation process; Activity
   characteristics; Yinchanggou area; Wenchuan earthquake
ID RAINFALL INTENSITY; SHALLOW LANDSLIDES; DURATION CONTROL; EARTHQUAKE
AB During the five rainy seasons following the 2008 Wenchuan earthquake, at least eight catastrophic events of multiple debris flows occurred in the Yinchanggou area of Baishui River basin, in southwestern China. The deposits had some serious impacts on the transportation, communication, and reconstruction activities. It indicates the start of a period with a high-frequency debris flow activities. In this paper, a detailed review is made of the latest 12 debris flow events, which occurred on 18th August 2012. Field reconnaissance and measurements, supported by a remote sensing interpretation, were conducted to reveal the locations and morphological characteristics of debris flow catchments. A total volume of 50.26 million m(3) co-seismic landslides, triggered by the Wenchuan earthquake, served as source materials for these debris flows and/or shallow landslides. Bedrocks, which were on the hanging wall of the Yingxiu-Beichuan Fault with a mean slope gradient larger than 30 degrees, were the most susceptible for these seism-triggered failures. The volume of debris flow deposits on individual fans vary by many orders of magnitude from 2,900 to 223,500m(3). The huge amount of reserves of source material compared to debris flow volumes currently deposited and taking into account the relatively low morphology index values form an indication of the early stage in the development of debris flows and the immense potential for debris flow occurrence in the future. There are two patterns of debris flow initiation which can be distinguished in this study: (a) the channel initiation pattern of concentrated overland flow erosion in the channel beds and (b) the slope initiation pattern which shows the development of new landslides and a transition into debris flows during a heavy rainfall. A catastrophic debris flow in the Haihuiqiao watershed of the Yinchanggou area was selected to show in detail the mechanism of debris flow initiation as a result of intensive erosion in loose debris materials. The critical rainfall threshold in terms of daily precipitation decreased by 77% compared to the pre-earthquake threshold. A primary rainfall intensity-duration (ID) threshold curve was constructed for debris flows for an early-warning system and compared with other global rainfall thresholds. The discussion is focused on the initiation mechanisms of debris flows and the assessment of the critical meteorological threshold.
C1 [Huang, Xun; Tang, Chuan] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Tang, CA (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM huangxun198671@163.com; tangc707@gmail.com
TC 27
Z9 32
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2014
VL 11
IS 6
BP 955
EP 967
DI 10.1007/s10346-014-0465-1
SC Engineering; Geology
UT WOS:000345324100002
ER

PT J
AU Chen, M
   Tang, C
   Xiong, J
   Shi, QY
   Li, N
   Gong, LF
   Wang, XD
   Tie, Y
AF Chen, M.
   Tang, C.
   Xiong, J.
   Shi, Q. Y.
   Li, N.
   Gong, L. F.
   Wang, X. D.
   Tie, Y.
TI The long-term evolution of landslide activity near the epicentral area
   of the 2008 Wenchuan earthquake in China
SO GEOMORPHOLOGY
DT Article
DE Wenchuan earthquake; Landslide activity; Evolution; Vegetation recovery
ID LOOSE GRANULAR DEPOSITS; DEBRIS FLOWS; VEGETATION RECOVERY; INITIATION;
   IMPACTS; EROSION; THRESHOLD; MECHANISM; PATTERN; RUNOUT
AB The Wenchuan earthquake triggered numerous landslides and damaged vast areas of vegetation. Strong mountain earthquakes have long-term impacts on the activities of subsequent landslides. It is crucial for long-term geohazard risk assessment to investigate the spatio-temporal evolution of post-earthquake landslides. We used multi-year images from 2008 to 2018 to track the reactivation of coseismic landslides and newly occurring landslides to evaluate the influence of the Wenchuan earthquake on subsequent rain-induced landslides. With the aid of a GIS platform combined with field investigations, we analyzed the temporal and spatial evolutions of landslide activities over the past ten years and the factors controlling these changes. In addition, the process of vegetation recovery at landslide sites in the epicentral area was detected based on multi-year Landsat TM data after the Wenchuan earthquake. We observed that the total area of active landslides decreased significantly with time. In the first 5 years (2008-2013), the vegetation recovered quickly but was not well rehabilitated, and post-seismic landslides generally maintained high activity levels. Due to progressive revegetation and consolidation, most of the coseismic deposits along the hillslopes gradually stabilized. Subsequently (2013-2018), landslide activity weakened and mainly occurred in high and steep areas with poor vegetation recovery, particularly in proximity to the drainage network. Decreasing occurrence of rain-induced landslides was closely related to vegetation recovery in both time and space, and vegetation recovery could promote the reduction in post-earthquake landslide activities. We also proposed a quantitative model for the landslide rate in the epicentral area of the Wenchuan earthquake, which shows that the enhanced landslide rate reached its peak after the earthquake and will decrease to the pre-earthquake level in 25 years. The evolution of the post-seismic landslide activity can be categorized into four stages: high active period (2008-2013), low active period (2013-2018), recovery period (2018-2033), and stable period (after 2033). (C) 2020 Elsevier B.V. All rights reserved.
C1 [Chen, M.; Tang, C.; Xiong, J.; Shi, Q. Y.; Li, N.; Gong, L. F.; Wang, X. D.; Tie, Y.] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM tangc@cdut.edu.cn
TC 97
Z9 107
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD OCT 15
PY 2020
VL 367
AR 107317
DI 10.1016/j.geomorph.2020.107317
SC Physical Geography; Geology
UT WOS:000564546600005
ER

PT J
AU Song, KY
   Oh, HJ
   Choi, J
   Park, I
   Lee, C
   Lee, S
AF Song, Kyo-Young
   Oh, Hyun-Joo
   Choi, Jaewon
   Park, Inhye
   Lee, Changwook
   Lee, Saro
TI Prediction of landslides using ASTER imagery and data mining models
SO ADVANCES IN SPACE RESEARCH
DT Article
DE Landslide susceptibility; ASTER; ANN; ANFIS; GIS
ID ARTIFICIAL NEURAL-NETWORKS; RAINFALL-INDUCED LANDSLIDES; FUZZY INFERENCE
   SYSTEM; REMOTE-SENSING DATA; LOGISTIC-REGRESSION; HAZARD ASSESSMENT;
   CONDITIONAL-PROBABILITY; SUSCEPTIBILITY ANALYSIS; WENCHUAN EARTHQUAKE;
   GIS
AB The aim of this study was to identify landslide-related factors using only remotely sensed data and to present landslide susceptibility maps using a geographic information system, data-mining models, an artificial neural network (ANN), and an adaptive neuro-fuzzy interface system (ANFIS). Landslide-related factors were identified in Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery. The slope, aspect, and curvature of topographic features were calculated from a digital elevation model that was made using the ASTER imagery. Lineaments, land-cover, and normalized difference vegetative index layers were also extracted from the imagery. Landslide-susceptible areas were analyzed and mapped based on occurrence factors using the ANN and ANFIS. The generalized bell-shaped built-in membership function of the ANFIS was applied to landslide susceptibility mapping. Analytical results were validated using landslide test location data. In the validation results, the ANN model showed 80.42% prediction accuracy and the ANFIS model showed 86.55% prediction accuracy. These results suggest that the ANFIS model has a better performance than does the ANN in predicting landslide susceptibility. (C) 2011 COSPAR. Published by Elsevier Ltd. All rights reserved.
C1 [Lee, Saro] KIGAM, Geosci Informat Ctr, 124 Gwahang No, Taejon 305350, South Korea.
   [Song, Kyo-Young] Korea Inst Geosci & Mineral Resources KIGAM, Geol Mapping Grp, Taejon 305350, South Korea.
   [Oh, Hyun-Joo] KIGAM, Dept Overseas Mineral Resource, Taejon 305350, South Korea.
   [Choi, Jaewon] Natl Disaster Management Inst, Geospatial Anal & Evaluat Ctr, Seoul 121719, South Korea.
   [Park, Inhye; Lee, Changwook] Univ Seoul, Dept Geoinformat, Seoul 130743, South Korea.
C3 Korea Institute of Geoscience & Mineral Resources (KIGAM); Korea
   Institute of Geoscience & Mineral Resources (KIGAM); Korea Institute of
   Geoscience & Mineral Resources (KIGAM); University of Seoul
RP Lee, S (corresponding author), KIGAM, Geosci Informat Ctr, 124 Gwahang No, Taejon 305350, South Korea.
EM leesaro@kigam.re.kr
TC 36
Z9 39
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0273-1177
EI 1879-1948
PD MAR 1
PY 2012
VL 49
IS 5
BP 978
EP 993
DI 10.1016/j.asr.2011.11.035
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:000301610600015
ER

PT J
AU Hu, GS
   Huang, H
   Tian, SF
   Rahman, M
   Shen, HW
   Yang, ZQ
AF Hu, Guisheng
   Huang, Hong
   Tian, Shufeng
   Rahman, Mahfuzur
   Shen, Haowen
   Yang, Zhiquan
TI Method on Early Identification of Low-Frequency Debris Flow Gullies
   along the Highways in the Chuanxi Plateau
SO REMOTE SENSING
DT Article
DE low-frequency debris flow; early identification; colluvium deposits in a
   hollow region; highways; roundness value
ID WENCHUAN EARTHQUAKE; RAINFALL; CATCHMENTS; IDENTIFY; DISASTER
AB Low-frequency debris flows are characterized by strong concealment, high potential danger, and difficulty achieving an early warning; hence early identification of low-frequency debris flow gullies is crucial to mitigation. Here, an identification system for low-frequency debris flow gullies along the traffic arteries in the Chuanxi Plateau is proposed based on the identification and stability calculation of colluvium deposits in a hollow region (CDH) and the quantitative roundness analysis for the stones in a deposit fan. At first, for the watershed without a deposit fan, the CDH is identified and analyzed using the geomorphologic change point detection method combined with high-precision remote sensing images and field investigation. The watershed can be identified as a low-frequency debris flow gully with the safety factors (F-s) of all CDHs greater than 1. Then, the roundness of stones in the deposit fan is quantitatively analyzed. The watershed can also be identified as a low-frequency debris flow gully with the average roundness of the stones ranging from 0.30 to 0.41. Lastly, the identification system was tested and verified based on another ten watersheds along three traffic arteries. It shows that the method proposed in this paper has good applicability and high accuracy. Here we try to achieve the accurate early identification of low-frequency debris flow gullies by combining remote sensing interpretation and field investigation, which can provide theoretical support for predicting and mitigating debris flows in mountainous areas.
C1 [Hu, Guisheng; Huang, Hong; Tian, Shufeng; Shen, Haowen] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
   [Hu, Guisheng] Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China.
   [Hu, Guisheng] Chinese Acad Sci Tribhuvan Univ, Kathmandu Ctr Res & Educ, Beijing 100101, Peoples R China.
   [Huang, Hong; Tian, Shufeng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Rahman, Mahfuzur] Int Univ Business Agr & Technol IUBAT, Dept Civil Engn, Dhaka 1230, Bangladesh.
   [Shen, Haowen; Yang, Zhiquan] Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming 650093, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; International University of Business
   Agriculture & Technology (IUBAT); Kunming University of Science &
   Technology
RP Tian, SF (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.; Tian, SF (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM tiansf@imde.ac.cn
TC 7
Z9 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAR
PY 2023
VL 15
IS 5
AR 1183
DI 10.3390/rs15051183
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000946942400001
ER

PT J
AU Tian, X
   Yang, LS
   Wu, X
   Wu, JZ
   Guo, YT
   Guo, YH
   Chen, H
   Li, J
   Lin, YM
AF Tian, Xue
   Yang, Liusheng
   Wu, Xuan
   Wu, Jianzhao
   Guo, Yiting
   Guo, Yuhao
   Chen, Hui
   Li, Jian
   Lin, Yongming
TI Landscape Fragmentation and Spatial Autocorrelation of a Typical
   Watershed in the Wenchuan Earthquake-Affected Area-A Case Study in the
   Longxi River Basin
SO FORESTS
DT Article
DE Wenchuan earthquake; typical watershed; landscape pattern; landscape
   fragmentation; spatial autocorrelation
ID LAND-USE; HABITAT QUALITY; PATTERN; GEODA
AB The 2008 8.0 Ms Wenchuan earthquake caused serious ecological degradation in the northwest of China's Sichuan Province. Elucidating landscape fragmentation and spatial pattern of post-earthquake landscape is of great interest in order to improve ecological restoration and predict the spatial distribution of damaged ecosystems in earthquake-affected areas. We used four real-time remote sensing images to analyze the landscape pattern characteristics and spatial autocorrelation of the Longxi River Basin before and after the Wenchuan earthquake during the period from 2005 to 2015. In the study period, the degree of landscape fragmentation increased 1 year after the earthquake in 2009 but decreased in 2011 and 2015. The spatial distribution of forest, farmland, and shrub-grassland had significantly positive spatial correlation and the characteristics of spatial aggregation from 2005 to 2015. Construction land had no significant spatial correlation before the earthquake in 2005, but significantly positive spatial correlation after the earthquake, while traffic land had no significant spatial correlation across the study period. Unlike the other landscape types, geological disasters changed from a significantly negative spatial correlation before the earthquake to a significantly positive spatial correlation after the earthquake. However, the positive autocorrelation of all landscape types decreased with the increase of space distance, but in different distance-decay rates. The High-high spatial aggregation areas of geological disasters and construction land clustered gradually upstream of the basin and distributed in Longchi town, respectively; those of farmland distributed in the southeast of the basin increased in 2009 but then decreased, while those of forests had the opposite pattern as the dominant landscape type after the earthquake. Our results elucidated the spatial structure and distribution features of the Longxi River Basin to give a theoretical foundation for assessing the effects of ecological restoration and reconstruction management in earthquake-affected areas.
C1 [Tian, Xue; Yang, Liusheng; Guo, Yiting; Guo, Yuhao; Chen, Hui; Li, Jian; Lin, Yongming] Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Peoples R China.
   [Wu, Xuan] Northwest Agr & Forestry Univ, Coll Nat Resources & Environm, Xianyang 712100, Peoples R China.
   [Wu, Jianzhao] Northwest Agr & Forestry Univ, Inst Soil & Water Conservat, Xianyang 712100, Peoples R China.
   [Li, Jian; Lin, Yongming] Key Lab Forest Ecosyst Proc & Management Fujian Pr, Fuzhou 350002, Peoples R China.
C3 Fujian Agriculture & Forestry University; Northwest A&F University -
   China; Northwest A&F University - China; Chinese Academy of Sciences;
   Institute of Soil & Water Conservation (ISWC), CAS
RP Lin, YM (corresponding author), Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Peoples R China.; Lin, YM (corresponding author), Key Lab Forest Ecosyst Proc & Management Fujian Pr, Fuzhou 350002, Peoples R China.
EM 15308173770@163.com; liushengy923@126.com; 1335178316@nwafu.edu.cn;
   wjzhao168@outlook.com; gyt08012022@163.com; gyh522750068@163.com;
   c15593222053@163.com; jianli@fafu.edu.cn; 000q131082@fafu.edu.can
TC 5
Z9 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1999-4907
PD DEC
PY 2023
VL 14
IS 12
AR 2349
DI 10.3390/f14122349
SC Forestry
UT WOS:001131495500001
ER

PT J
AU Li, ML
   Cheng, JL
AF Mingli, Li
   Jianlong, Cheng
TI The starting mechanism study on rainfall-induced sloop loose source in
   strong earthquake area
SO NATURAL HAZARDS
DT Article
DE Debris flow; Slope loose sources; Rainfall; Hydraulic mechanism; Early
   warning
ID DEBRIS FLOW INITIATION; WENCHUAN EARTHQUAKE; MODEL; SLOPES;
   POSTEARTHQUAKE; LANDSLIDE; FAILURE; SOIL
AB The 5.12 Wenchuan earthquake in 2008 led to a large number of loose deposits on the slope on both sides of the gully in the formation area. Under the triggering action of heavy rainfall, the previously unrecognized slope loose source in formation areas easily failed and started earlier than the overall start of the gully debris flow, which has practical significance for realizing the early warning of the gully debris flow starting. The special loose source conditions and postearthquake geological environment change the hydraulic mechanism of traditional debris flow start-up, which brings great difficulties to the monitoring and early warning of postearthquake debris flows. Therefore, based on hydraulics, on the premise of building a hydraulic model of groundwater level change of loose slope accumulation body, the characteristics and rules of groundwater level change are analyzed with the aid of hydraulic seepage theories, and the action characteristics of hydrodynamic pressure and hydrostatic pressure on the accumulation body are quantitatively studied. Based on field exploration data and average slope gradient, we divided the accumulation body in a reasonable manner; completed the sliding force, anti-sliding force and residual-sliding force mechanical expression and establishment; and performed a slope stability analysis. The research results show that the slope starting mode is divided into the thrust-type landslide and the retrogressive landslide mode of the subsection disintegration. The hydraulic deposit mechanism analytical results can also reverse the critical rainfall condition of slope failure. Finally, taking the Yindongzi gully in Dujiangyan as an example, the hydraulic mechanism of typical slope deposits in the formation area was analyzed and combined with the historical debris flow events in the study area to verify the physical simulation test, which was consistent with the field investigation results after the disaster.
C1 [Mingli, Li; Jianlong, Cheng] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Mingli, Li; Jianlong, Cheng] Chengdu Univ Technol, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology
RP Cheng, JL (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.; Cheng, JL (corresponding author), Chengdu Univ Technol, Chengdu 610059, Peoples R China.
EM chengjl2018@foxmail.com
TC 3
Z9 4
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD NOV
PY 2022
VL 114
IS 2
BP 1685
EP 1707
DI 10.1007/s11069-022-05442-4
EA JUL 2022
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000823366200002
ER

PT J
AU Li, XD
   Yang, WNA
   Ao, TQ
   Li, HX
   Chen, WQ
AF Li, Xiaodong
   Yang, Wunian
   Ao, Tianqi
   Li, Hongxia
   Chen, Wenqing
TI AN IMPROVED APPROACH OF INFORMATION EXTRACTION FOR EARTHQUAKE-DAMAGED
   BUILDINGS USING HIGH-RESOLUTION IMAGERY
SO JOURNAL OF EARTHQUAKE AND TSUNAMI
DT Article
DE Building seismic damage; high-resolution imagery; object-oriented; image
   segmentation; information extraction
ID IZMIT; SAR
AB The development of remote sensing technology, especially the availability of high-resolution satellite imagery, has been applied to building recognition, hazard investigation and rapid pre-evaluation in post-earthquake management. Existing pixel-oriented approaches which are commonly used for satellite high-resolution imagery have limitations in information extraction, ground object classification, and processing speed. This paper presents an object-oriented method to extract earthquake-damaged building information using high-resolution remote sensing imagery of the 5.12 Wenchuan Earthquake. This method segmented the whole image into non-intersecting pieces of image objects, and then classified these pieces to extract damaged/undamaged buildings using image features such as spectral characters, textures, shapes, and their contexts. The results show a higher-precision classification than conventional methods.
C1 [Chen, Wenqing] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
   [Li, Xiaodong; Ao, Tianqi; Li, Hongxia] Sichuan Univ, Coll Water Resources & Hydropower, Chengdu 610065, Peoples R China.
   [Li, Xiaodong; Yang, Wunian] Chengdu Univ Technol, Key Lab Geohazard Prevent & Geoenvironm Protect, Chengdu 610059, Peoples R China.
   [Ao, Tianqi] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
C3 Sichuan University; Sichuan University; Chengdu University of
   Technology; Sichuan University
RP Chen, WQ (corresponding author), Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
EM cwq69814@126.com
TC 23
Z9 26
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 1793-4311
EI 1793-7116
PD NOV
PY 2011
VL 5
IS 4
SI SI
BP 389
EP 399
DI 10.1142/S1793431111001157
SC Geochemistry & Geophysics; Engineering
UT WOS:000297520400005
ER

PT J
AU Wang, WT
   Ni, SD
   Chen, Y
   Kanamori, H
AF Wang, Weitao
   Ni, Sidao
   Chen, Yong
   Kanamori, Hiroo
TI Magnitude estimation for early warning applications using the initial
   part of P waves: A case study on the 2008 Wenchuan sequence
SO GEOPHYSICAL RESEARCH LETTERS
DT Article
ID EARTHQUAKE; SYSTEM; RUPTURE; TAIWAN
AB A period parameter tau(c) and an amplitude parameter Pd determined from the very beginning of P wave are important for earthquake early warning (EEW), yet their dependence on source mechanism, focal depth and epicentral distance has not been fully studied. After the devastating Mw7.9 Wenchuan earthquake, hundreds of M4-6 earthquakes occurred with diverse focal mechanisms and depth range of 2-20 km. We calculate tau(c) and Pd of these aftershocks and examine their dependence on magnitude, tau(c), distance, and depth. We find that tau(c) correlates well with magnitude, but joint regression including distance and depth does not significantly improve the correlation. The effect of focal mechanism on the tau(c) - magnitude correlation is not obvious. When P wave is nodal, tau(c) measurement becomes inaccurate. Also, tau(c) is systematically greater for slow earthquakes, leading to a possible false alarm. Thus, more studies are required to discriminate slow earthquakes for robust early warning. Citation: Wang, W., S. Ni, Y. Chen, and H. Kanamori (2009), Magnitude estimation for early warning applications using the initial part of P waves: A case study on the 2008 Wenchuan sequence, Geophys. Res. Lett., 36, L16305, doi: 10.1029/2009GL038678.
C1 [Wang, Weitao; Ni, Sidao; Chen, Yong] Univ Sci & Technol China, Mengcheng Natl Geophys Observ, Sch Earthquake & Space Sci, Hefei 230026, Anhui, Peoples R China.
   [Kanamori, Hiroo] CALTECH, Seismol Lab, Pasadena, CA 91125 USA.
C3 Chinese Academy of Sciences; University of Science & Technology of
   China, CAS; California Institute of Technology
RP Wang, WT (corresponding author), Univ Sci & Technol China, Mengcheng Natl Geophys Observ, Sch Earthquake & Space Sci, Hefei 230026, Anhui, Peoples R China.
EM sdni@ustc.edu.cn
TC 14
Z9 21
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
PD AUG 27
PY 2009
VL 36
AR L16305
DI 10.1029/2009GL038678
SC Geology
UT WOS:000269348500001
ER

PT J
AU Lyu, JR
   Bao, YH
   Xie, HY
   Li, H
   Hu, YH
   He, XB
AF Lyu Jiao-rong
   Bao Yu-hai
   Xie Hang-yu
   Li Hong
   Hu Yun-hua
   He Xiu-bin
TI Spatiotemporal variation of the loose deposits in Baisha River Basin
   after the 2008 Wenchuan earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan earthquake; Loose deposits; earthquake-triggered disaster; Soil
   erosion; Remote sensing
ID SUSPENDED SEDIMENT CONCENTRATION; VEGETATION RECOVERY; SOIL-EROSION;
   TURBIDITY MEASUREMENTS; DEBRIS FLOWS; LANDSLIDES; REGION; CHINA; SIZE;
   AREA
AB Extensive landslides were triggered by the Wenchuan earthquake (in China) on 12 May 2008, causing a tremendous amount of loose material suspended on the hillslopes, likely to be eroded and transported by rain. It is of great significance to study the long-term variation of the quantity and spatiotemporal distribution of loose deposits after a great earthquake in order to understand the restoration process, to assess the risk of future soil erosion, including geological hazards, and to further develop ecological governance strategy. In this study, information about the multi-temporal loose deposits on the ranges of the Baisha River Basin, an alpine valley near the epicenter, was extracted by object-oriented remote sensing interpretation, and analysis on their spatiotemporal variation showed that the earthquake in 2008 resulted in loose deposits covering an additional area of 81.09 km(2), with a volume estimated at 0.357 billion m(3). Within five years after the earthquake, the vegetation had recovered rapidly, and the extent of the deposits was significantly less. From 5 to 13 years after the earthquake, the vegetation continued to recover but at a slower rate and a decreasing trend in newly formed deposits was evident. The total area, volume and quantity of the loose deposits gradually stabilized. The geometric mean center of the loose deposits gradually moved back towards the upstream area after the earthquake and, by 2021, the mean center was about 4 km away from its pre-earthquake position. Taking the mean center of the loose deposits in 2008 as the center, the deposits in the downstream area shrank significantly after the earthquake, but collapses and landslides of deposits persisted in the upstream area to the west-southwest, west-northwest and north-northwest from the mean center, indicating future source areas of new loose deposits in the basin.
C1 [Lyu Jiao-rong; Bao Yu-hai; Xie Hang-yu; Li Hong; He Xiu-bin] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Chengdu 610299, Peoples R China.
   [Xie Hang-yu; Li Hong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Hu Yun-hua] Third Surveying & Mapping Engn Inst Sichuan Prov, Chengdu 610500, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Bao, YH (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Ecol Regulat, Chengdu 610299, Peoples R China.
EM lvjiaorong@imde.ac.cn; byh@imde.ac.cn; xiehangyu@imde.ac.cn;
   lihong@imde.ac.cn; 464910319@qq.com; xiubinh@imde.ac.cn
TC 4
Z9 4
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD SEP
PY 2022
VL 19
IS 9
BP 2544
EP 2555
DI 10.1007/s11629-022-7519-y
SC Environmental Sciences & Ecology
UT WOS:000857902500006
ER

PT J
AU Liu, JL
   Dong, FF
   Li, ZY
AF Liu, Jinglei
   Dong, Fangfang
   Li, Zhiyao
TI Application of Convolutional Neural Network to GIS and Physics
SO COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
DT Article
ID GEOGRAPHIC INFORMATION-SYSTEM; EARTHQUAKE
AB Human life and property are often seriously threatened and lost due to natural disasters such as earthquakes. As a spatial information system, the geographic information system (GIS) can collect, store, and manage the local or whole related physical data of the surface space to be measured with the support of software and hardware. The physical data is collected through GIS for performance testing. The data are collected from the aftershock event records of the Wenchuan earthquake. Among them, 14,000 Wenchuan earthquake events are used as the original data set, and 8,800 aftershock events are used as the test data set. Seismic data involves the detection of multiple physical quantities, which makes the seismic data gradually increase, many data have no obvious linear relationship, and traditional detection methods are difficult to meet the detection requirements. The artificial intelligence method led by a convolutional neural network (CNN) can perform pattern matching on complex nonlinear variables, and models with general characteristics can be generated from different seismic waveforms for the prediction of seismic waveforms. The results show that GIS can effectively intercept and collect seismic physical signals. The training and detection accuracy of CNN combined with GIS physical data is higher than 90%. Compared with traditional training methods, CNN is obviously superior in detection accuracy and recall rate. At the same time, a large number of microseismic events that are easily missed by manual selection can also be found.
C1 [Liu, Jinglei] Nanjing Univ Informat Sci & Technol, Changwang Coll, Nanjing 210044, Jiangsu, Peoples R China.
   [Dong, Fangfang] Yancheng Tinghu Senior High Sch, Phys Grp, Yancheng 224051, Jiangsu, Peoples R China.
   [Li, Zhiyao] Nanjing Xiaozhuang Univ, Sch Elect Engn, Nanjing 211171, Jiangsu, Peoples R China.
C3 Nanjing University of Information Science & Technology; Nanjing
   Xiaozhuang University
RP Liu, JL (corresponding author), Nanjing Univ Informat Sci & Technol, Changwang Coll, Nanjing 210044, Jiangsu, Peoples R China.
EM 202083330019@nuist.edu.cn; dongfangfang0601@sina.com;
   1783645227lzy@sina.com
TC 0
Z9 0
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1687-5265
EI 1687-5273
PD JUL 19
PY 2022
VL 2022
AR 8559343
DI 10.1155/2022/8559343
SC Mathematical & Computational Biology; Neurosciences & Neurology
UT WOS:000835188300011
ER

PT J
AU Yin, H
   Shan, XJ
   Zhang, YF
   Qu, CY
   Wang, ZJ
   Liu, XD
   Zhang, GH
   Li, YC
AF Yin Hao
   Shan XinJian
   Zhang YingFeng
   Qu ChunYan
   Wang ZhenJie
   Liu XiaoDong
   Zhang GuoHong
   Li YanChuan
TI Rapid determination of source parameters for the 2008 Wenchuan
   earthquake constrained by high-rate GPS and strong motion data
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE The 2008 Wenchuan earthquake; Real time surface displacement; Epicentral
   location; Rupture process; Rapid determination of magnitude
ID MAGNITUDE; RECORDS
AB High-rate GPS facilities can detect real-time surface displacement, which has many seismic applications, such as rapid determination of the epicenter locations, earthquake magnitude and intensity, and even earthquake rupture process. In this study, taking the 2008 Wenchuan earthquake as an example, we use data from 7 GPS stations to calculate the epicenter location. We find that the two epicenters determined by high-rate GPS and seismic data are similar to 15. 7 km apart from each other, due to the difference between GPS and seismic waveforms. Comparing the high-rate GPS and accelerograms statistically shows that although GPS data and strong motion record have their own physical meanings, respectively and the peak ground motion recorded by two datasets are obviously different, the PGA, PGV and PGD in GPS data can also be used to calculate seismic intensity. In addition, we correct the baseline bias using the SMBLOC program to obtain surface displacement time series, which can be deemed as equivalent to real-time high-rate GPS data. Based on Okada dislocation and a finite fault segment model, we finally invert the static offset displacement data smoothed from the corrected and integrated strong motion displacement data by a moving window. Our inversion results show that the main seismogenic fault of the Wenchuan earthquake ruptured from southwest to northeast, which is consistent with most of other studies. Furthermore, we try to conduct it in a quasi-real-time way and to rapidly determine the earthquake rupture process of the Wenchuan earthquake. Thus, our result also shows that the first estimated magnitude can be M(w)7. 0 as fast as 20 seconds after the origin time, that is 14 :28 : 04. Besides, 70 seconds after the origin time the magnitude estimation of M(w)7. 8 is stable, with the condition that the fault rupture is still going. At last, 159 seconds after the origin time, the Wenchuan event stops according to the displacement time series. The results prove that real-time surface displacement can be used to determine the magnitude and rupture direction of a major earthquake quickly and accurately. High-rate GPS will provide a good complement to the existing earthquake early warning system.
C1 [Yin Hao; Shan XinJian; Zhang YingFeng; Qu ChunYan; Liu XiaoDong; Zhang GuoHong; Li YanChuan] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
   [Yin Hao; Wang ZhenJie; Liu XiaoDong] China Univ Petr East China, Sch Geosci, Qingdao 266580, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   University of Petroleum
RP Shan, XJ (corresponding author), China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
EM yinhaoupc@163.com; xjshan@163.com
TC 4
Z9 8
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD MAY
PY 2018
VL 61
IS 5
BP 1806
EP 1816
DI 10.6038/cjg2018L0527
SC Geochemistry & Geophysics
UT WOS:000432644000012
ER

PT J
AU Xu, C
   Dai, FC
   Xu, XW
   Lee, YH
AF Xu, Chong
   Dai, Fuchu
   Xu, Xiwei
   Lee, Yuan Hsi
TI GIS-based support vector machine modeling of earthquake-triggered
   landslide susceptibility in the Jianjiang River watershed, China
SO GEOMORPHOLOGY
DT Article
DE Wenchuan earthquake; Landslides; SVM; GIS; Landslide susceptibility
   mapping
ID WENCHUAN EARTHQUAKE; HAZARD EVALUATION; PREDICTION
AB Support vector machine (SVM) modeling is based on statistical learning theory. It involves a training phase with associated input and target output values. In recent years, the method has become increasingly popular. The main purpose of this study is to evaluate the mapping power of SVM modeling in earthquake triggered landslide-susceptibility mapping for a section of the Jianjiang River watershed using a Geographic Information System (GIS) software. The river was affected by the Wenchuan earthquake of May 12, 2008. Visual interpretation of colored aerial photographs of 1-m resolution and extensive field surveys provided a detailed landslide inventory map containing 3147 landslides related to the 2008 Wenchuan earthquake. Elevation, slope angle, slope aspect, distance from seismogenic faults, distance from drainages, and lithology were used as the controlling parameters. For modeling, three groups of positive and negative training samples were used in concert with four different kernel functions. Positive training samples include the centroids of 500 large landslides, those of all 3147 landslides, and 5000 randomly selected points in landslide polygons. Negative training samples include 500, 3147, and 5000 randomly selected points on slopes that remained stable during the Wenchuan earthquake. The four kernel functions are linear, polynomial, radial basis, and sigmoid. In total, 12 cases of landslide susceptibility were mapped. Comparative analyses of landslide-susceptibility probability and area relation curves show that both the polynomial and radial basis functions suitably classified the input data as either landslide positive or negative though the radial basis function was more successful. The 12 generated landslide-susceptibility maps were compared with known landslide centroid locations and landslide polygons to verify the success rate and predictive accuracy of each model. The 12 results were further validated using area-under-curve analysis. Group 3 with 5000 randomly selected points on the landslide polygons, and 5000 randomly selected points along stable slopes gave the best results with a success rate of 79.20% and predictive accuracy of 79.13% under the radial basis function. Of all the results, the sigmoid kernel function was the least skillful when used in concert with the centroid data of all 3147 landslides as positive training samples, and the negative training samples of 3147 randomly selected points in regions of stable slope (success rate = 54.95%; predictive accuracy = 61.85%). This paper also provides suggestions and reference data for selecting appropriate training samples and kernel function types for earthquake triggered landslide-susceptibility mapping using SVM modeling. Predictive landslide-susceptibility maps could be useful in hazard mitigation by helping planners understand the probability of landslides in different regions. (C) 2011 Elsevier B.V. All rights reserved.
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Dai, Fuchu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Lee, Yuan Hsi] Natl Chung Cheng Univ, Dept Earth & Environm Sci, Chiayi 62102, Taiwan.
C3 China Earthquake Administration; Institute of Geology, CEA; Chinese
   Academy of Sciences; Institute of Geology & Geophysics, CAS; National
   Chung Cheng University
RP Xu, XW (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xiweixu@vip.sina.com
TC 342
Z9 409
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD APR 1
PY 2012
VL 145
BP 70
EP 80
DI 10.1016/j.geomorph.2011.12.040
SC Physical Geography; Geology
UT WOS:000301475400007
ER

PT J
AU Zhao, X
   Wang, P
   Chen, C
   Jiang, T
   Yu, ZG
   Guo, BY
AF Zhao, Xin
   Wang, Ping
   Chen, Chao
   Jiang, Tao
   Yu, Zhigang
   Guo, Biyun
TI Waterbody information extraction from remote-sensing images after
   disasters based on spectral information and characteristic knowledge
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID INDEX NDWI; SEGMENTATION
AB This article proposes a post-disaster waterbody information extraction method based on spectral information from remote-sensing images and characteristic knowledge that can resist interference from factors such as changes in water quality, waves caused by accelerated water flow, and varying water levels. The method first analyses the display characteristics of waterbodies from remote-sensing images (their spectral characteristics, geometric features, and textural features), forming a decision tree of rules that represent characteristic knowledge for waterbody information extraction. This rule set is added to the various processing stages of waterbody information extraction after disasters to construct a waterbody information extraction model. Second, an object-oriented method is used for image segmentation. A rough initial waterbody information extraction is performed based on spectral information, and then refined based on the characteristic knowledge. Third, noise is eliminated and holes are filled in the images of the refined waterbody information extraction results. Finally, the accuracy of this new waterbody information extraction method is evaluated from both qualitative and quantitative aspects. Accuracy assessments of the experimental results obtained using remote-sensing images from the Wenchuan earthquake and a 2010 flood in Pakistan show that the proposed method is both efficient and accurate at extracting post-disaster waterbody information even when the background is complex.
C1 [Zhao, Xin; Wang, Ping; Jiang, Tao; Yu, Zhigang] Shandong Univ Sci & technol, Coll Geomat, Qingdao, Peoples R China.
   [Zhao, Xin; Yu, Zhigang] Shandong Univ Sci & Technol, Taishan Coll Sci & Technol, Tai An, Shandong, Peoples R China.
   [Chen, Chao; Guo, Biyun] Zhejiang Ocean Univ, Marine Sci & Technol Coll, Zhoushan, Peoples R China.
C3 Shandong University of Science & Technology; Shandong University of
   Science & Technology; Zhejiang Ocean University
RP Wang, P (corresponding author), Shandong Univ Sci & technol, Coll Geomat, Qingdao, Peoples R China.
EM pingwangch@sdust.edu.cn
TC 40
Z9 46
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2017
VL 38
IS 5
BP 1404
EP 1422
DI 10.1080/01431161.2016.1278284
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000394647800011
ER

PT J
AU Yang, YL
   Li, ZY
   Wen, J
AF Yang, Yanlin
   Li, Zhuyue
   Wen, Jin
TI Long term impact of Wenchuan earthquake on population mental and
   behavioral disorders in heavily-stricken areas: An ecological study
   based on big data
SO JOURNAL OF AFFECTIVE DISORDERS
DT Article
DE Mental and behavioral disorders; Wenchuan earthquake; Ecological study;
   Prevalence rate ratio; Risk factors
ID POSTTRAUMATIC-STRESS-DISORDER; HEALTH; DISASTER; ADOLESCENTS;
   PREVALENCE; SURVIVORS; SYMPTOMS; PARENT; OLDER
AB Background: This study aimed to explore and evaluate the development trends and differential changes in the prevalence of mental and behavioral disorders among the earthquake survivors in exposure groups (highly hardhit areas) and control groups (general disaster areas) from 2015 to 2019, as well as to investigate the potential influencing factors. Methods: Data was obtained from the Sichuan Health Information System and the Sichuan Health Yearbook, the prevalence of the exposure group and the control group were calculated, the difference between the two groups was evaluated using the prevalence rate ratio, and a fixed effect model was developed to investigate the potential influencing factors of the prevalence. Results: The prevalence by gender and age in the exposure group was always greater than those in the control group (RR>1), although the disparity between the two proceeded to diminish with time. The urbanization rate (beta = 0.0448, P < 0.05) and disaster area levels (beta = 0.0104, P < 0.05) were risk factors for the prevalence of mental and behavioral disorders. Limitations: The study only collected data at the group level following the Wenchuan earthquake. Consequently, the findings are only applicable at the group level. Furthermore, diagnostic criteria for various types of mental and behavioral disorders diseases were not provided. Conclusions: The earthquake has a significant long-term impact on mental health. It is necessary to continuously monitor the mental health of Wenchuan earthquake survivors and take appropriate post-disaster intervention measures.
C1 [Yang, Yanlin; Wen, Jin] Sichuan Univ, Inst Hosp Management, West China Hosp, Chengdu 610041, Peoples R China.
   [Li, Zhuyue] Sichuan Univ, West China Hosp, Med Equipment Innovat Res Ctr, Med Ctr Mfg X,West China Sch Med, Chengdu, Sichuan, Peoples R China.
C3 Sichuan University; Sichuan University
RP Wen, J (corresponding author), 37 Guoxue Lane, Chengdu 610041, Sichuan, Peoples R China.
EM huaxiwenjin@163.com
TC 1
Z9 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0165-0327
EI 1573-2517
PD SEP 15
PY 2024
VL 361
BP 589
EP 595
DI 10.1016/j.jad.2024.06.070
EA JUN 2024
SC Neurosciences & Neurology; Psychiatry
UT WOS:001263205300001
ER

PT J
AU Liu, JG
   Mason, PJ
   Yu, E
   Wu, MC
   Tang, C
   Huang, RQ
   Liu, HH
AF Liu, Jian Guo
   Mason, Philippa J.
   Yu, Eric
   Wu, Meng-Che
   Tang, Chuan
   Huang, Runqiu
   Liu, Hanhu
TI GIS modelling of earthquake damage zones using satellite remote sensing
   and DEM data
SO GEOMORPHOLOGY
DT Article
DE Earthquake damage zone; Geohazards; GIS modelling; Satellite remote
   sensing; DEM
ID LANDSLIDE HAZARD ASSESSMENT; 2008 WENCHUAN EARTHQUAKE; 3 GORGES AREA;
   ASTER IMAGERY; SUSCEPTIBILITY; CHINA
AB The devastating earthquake that occurred in Wenchuan County, Sichuan Province, China, on the 12th May 2008, caused widespread damage and devastation to rural communities and economy. The terrain of the entire region has been weakened and is now highly susceptible to long-term slope instability that will trouble this region for many years to come. Before the earthquake, the maximum seismic intensity expected in the region was VI-VIII in the 12-degree Liedu scale (the intensity measure adopted in China). However, the actual intensity caused by the earthquake ranged between VIII and XI. The seismic intensity map is practical for regional guidance but lacks the detail to provide an adequate representation of the true damage level, in terms of current status and future potential in such a seismically active and populated region, especially when the hazards and risks are likely to be multiple and cascading in high relief areas. This paper presents a GIS based novel approach to earthquake damage zone modelling using satellite remote sensing and DEM data. The novelty is to take into account the co-seismic ground deformation (measured using differential SAR interferometry) as an important modulating factor in modelling the susceptibility of earthquake related geohazards, together with conventional multi-criteria factors which draw on geological and topographical variables such as rock competence, slope, proximity to drainage, and fracture density. The modulating effect of the earthquake greatly enhances the susceptibility in the areas where the majority of the ensuing landslides and debris-flows actually took place. When this susceptibility model is further modulated by the mapped surface disruption caused by the earthquake (which encompasses all forms of mass movement and urban destruction), it is directly linked to seismic intensity and we call it "earthquake damage". The output earthquake damage map represents both the current damage status as well as the future damage (hazard) potential. The resulting earthquake damage map for the Beichuan region clearly defines a series of zones of increasing seismic intensity, approximately corresponding to Liedu values VIII-XI but with great details. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.
C1 [Liu, Jian Guo; Mason, Philippa J.; Yu, Eric; Wu, Meng-Che] Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, London SW7 2AZ, England.
   [Tang, Chuan; Huang, Runqiu; Liu, Hanhu] Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu 610059, Sichuan, Peoples R China.
C3 Imperial College London; Chengdu University of Technology
RP Liu, JG (corresponding author), Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, London SW7 2AZ, England.
EM j.g.liu@imperial.ac.uk
TC 27
Z9 32
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD FEB 15
PY 2012
VL 139
BP 518
EP 535
DI 10.1016/j.geomorph.2011.12.002
SC Physical Geography; Geology
UT WOS:000301158100043
ER

PT J
AU Huang, L
   Xiang, LY
AF Huang, Lu
   Xiang, Lu-yang
TI Method for Meteorological Early Warning of Precipitation-Induced
   Landslides Based on Deep Neural Network
SO NEURAL PROCESSING LETTERS
DT Article
DE Deep neural network; Landslide; Meteorological early warning; Softmax;
   Wenchuan
ID SUSCEPTIBILITY ASSESSMENT; BELIEF NETWORKS; MODEL
AB The meteorological early warning model of precipitation-induced landslides is a significant yet challenging task, due to the complexity and uncertainty of various influence factors. Generally, the existing machine learning methods have the drawbacks of poor learning ability and weak capability of feature extraction. Inspired by deep learning technology, we propose a deep belief network (DBN) approach with Softmax classifier and Dropout mechanism for meteorological early warning of precipitation-induced landslides to overcome these problems. With the powerful nonlinear mapping ability of DBN when training a large number of sample data, we use the greedy unsupervised learning algorithm of DBN to extract the intrinsic characteristics of landslide factors. Then, to further improve prediction accuracy of landslides, the Softmax classifier is added to the top layer of DBN neural network. Moreover, the Dropout mechanism is introduced in the training process to reduce the prediction error caused by the over-fitting phenomena. Taking Wenchuan earthquake affected area for example, after analysis of the factors influencing landslide disasters, the meteorological early warning model of landslides based on Dropout DBN-Softmax is established. Compared with the existing BP neural network algorithm and BP algorithm based on Particle Swarm Optimizer (PSO-BP) algorithm, the experimental results show that the new approach proposed has the advantages of higher accuracy and better technological performances than the former algorithms.
C1 [Huang, Lu] Hubei Bur Surveying Mapping & Geoinformat, Hubei Surveying Mapping Engn Inst, Wuhan 430074, Hubei, Peoples R China.
   [Xiang, Lu-yang] China Shipbldg Ind Corp, Res Inst 709, Dept Engn, Wuhan 430074, Hubei, Peoples R China.
C3 China Shipbuilding Industry Corporation
RP Huang, L (corresponding author), Hubei Bur Surveying Mapping & Geoinformat, Hubei Surveying Mapping Engn Inst, Wuhan 430074, Hubei, Peoples R China.
EM huanglu213@163.com
TC 35
Z9 41
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1370-4621
EI 1573-773X
PD OCT
PY 2018
VL 48
IS 2
SI SI
BP 1243
EP 1260
DI 10.1007/s11063-017-9778-0
SC Computer Science
UT WOS:000446501500032
ER

PT J
AU Marino, P
   Fan, XM
   Greco, R
   Subramanian, SS
AF Marino, Pasquale
   Fan, Xuanmei
   Greco, Roberto
   Subramanian, Srikrishnan Siva
TI Changes in debris-flow susceptibility after the Wenchuan earthquake
   revealed by meteorological and hydro-meteorological thresholds
SO CATENA
DT Article
DE Wenchuan earthquake; Post-seismic debris flows; Hydro-meteorological
   thresholds; Catchment water balance; Budyko framework; Triggering
   mechanism
ID CHI-CHI-EARTHQUAKE; 13 AUGUST 2010; INDUCED LANDSLIDES; WARNING SYSTEM;
   MINJIANG RIVER; UPPER REACHES; INITIATION; AREA; IMPACTS; BALANCE
AB After the 2008 Wenchuan earthquake (Mw 7.9), an increase in rainfall-induced debris flows was initially observed in the earthquake-hit region (Sichuan, China). In the following years, the frequency of debris flows gradually reduced, indicating a recovery of stability of debris deposits originated from the earthquake. To assess these dynamically changing conditions, empirical thresholds have been identified to predict post-seismic debris flow occurrences with two approaches: a meteorological approach based only on precipitation characteristics, and a hydrometeorological approach that also considers the hydrologic conditions before the onset of rainfall. Both used the available record of precipitations and debris flows that occurred in the years 2008-2015 in Wenchuan county. Hydrometeorological thresholds for debris flows have been identified at the catchment scale by assessing the water balance with a simplified lumped hydrological model, based on the Budyko framework, and using catchment water storage as a proxy of the moisture state of the slopes. The results indicate that both meteorological and hydrometeorological thresholds allow catching the progressive recovery of stability of the debris deposits. In particular, the assessment of water balance at the catchment scale highlights the role played by the hydrological processes affecting the slopes, leading to the definition of reliable and robust thresholds. The hydrometeorological approach is thus recommended to define thresholds for early warning of debris flows at the catchment scale.
C1 [Marino, Pasquale; Greco, Roberto] Univ Campania Luigi Vanvitelli, Dipartimento Ingn, Via Roma 9, I-81031 Aversa, Italy.
   [Fan, Xuanmei; Greco, Roberto; Subramanian, Srikrishnan Siva] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, 1 Erxianqiao Dongsan Rd, Chengdu 610059, Sichuan, Peoples R China.
C3 Universita della Campania Vanvitelli; Chengdu University of Technology
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, 1 Erxianqiao Dongsan Rd, Chengdu 610059, Sichuan, Peoples R China.
EM pasquale.marino1@unicampania.it; fxm_cdut@qq.com;
   roberto.greco@unicampania.it; srikrishnan@frontier.hokudai.ac.jp
TC 26
Z9 27
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD MAR
PY 2022
VL 210
AR 105929
DI 10.1016/j.catena.2021.105929
SC Geology; Agriculture; Water Resources
UT WOS:000790435500001
ER

PT J
AU Li, WL
   Huang, RQ
   Xu, Q
   Tang, C
AF Li Wei-le
   Huang Run-qiu
   Xu Qiang
   Tang Chuan
TI Rapid susceptibility mapping of co-seismic landslides triggered by the
   2013 Lushan Earthquake using the regression model developed for the 2008
   Wenchuan Earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Lushan earthquake; Landslide; Susceptibility mapping; Logistical
   regression
ID SPATIAL PREDICTION MODELS; LOGISTIC-REGRESSION; GIS; HAZARDS
AB The primary objective of landslide susceptibility mapping is the prediction of potential landslides in landslide-prone areas. The predictive power of a landslide susceptibility mapping model could be tested in an adjacent area of similar geoenvironmental conditions to find out the reliability. Both the 2008 Wenchuan Earthquake and the 2013 Lushan Earthquake occurred in the Longmen Mountain seismic zone, with similar topographical and geological conditions. The two earthquakes are both featured by thrust fault and similar seismic mechanism. This paper adopted the susceptibility mapping model of co-seismic landslides triggered by Wenchuan earthquake to predict the spatial distribution of landslides induced by Lushan earthquake. Six influencing parameters were taken into consideration: distance from the seismic fault, slope gradient, lithology, distance from drainage, elevation and Peak Ground Acceleration (PGA). The preliminary results suggested that the zones with high susceptibility of coseismic landslides were mainly distributed in the mountainous areas of Lushan, Baoxing and Tianquan counties. The co-seismic landslide susceptibility map was completed in two days after the quake and sent to the field investigators to provide guidance for rescue and relief work. The predictive power of the susceptibility map was validated by ROC curve analysis method using 2037 co-seismic landslides in the epicenter area. The AUC value of 0.710 indicated that the susceptibility model derived from Wenchuan Earthquake landslides showed good accuracy in predicting the landslides triggered by Lushan earthquake.
C1 [Li Wei-le; Huang Run-qiu; Xu Qiang; Tang Chuan] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Li, WL (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM whylwl01@163.com
TC 22
Z9 23
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2013
VL 10
IS 5
BP 699
EP 715
DI 10.1007/s11629-013-2786-2
SC Environmental Sciences & Ecology
UT WOS:000325070700001
ER

PT J
AU Wang, Y
   Li, SY
   Song, JD
AF Wang, Yuan
   Li, Shanyou
   Song, Jindong
TI Threshold-based evolutionary magnitude estimation for an earthquake
   early warning system in the Sichuan-Yunnan region, China
SO SCIENTIFIC REPORTS
DT Article
AB The Sichuan-Yunnan region is one of the most seismically vulnerable areas in China. Accordingly, an earthquake early warning (EEW) system for the region is essential to reduce future earthquake hazards. This research analyses the utility of two early warning parameters (tau(c) and P-d) for magnitude estimation using 273 events that occurred in the Sichuan-Yunnan region during 2007-2015. We find that tau(c) can more reliably predict high-magnitude events during a short P-wave time window (PTW) but produces greater uncertainty in the low-magnitude range, whereas P-d is highly correlated with the event magnitude depending on the selection of an appropriate PTW. Here, we propose a threshold-based evolutionary magnitude estimation method based on a specific combination of tau(c) and P-d that both offers more robust advance magnitude estimates for large earthquakes and ensures the estimation accuracy for low-magnitude events. The advantages of the proposed approach are validated using data from 2016-2017 and the Ms 8.0 Wenchuan earthquake in an offline simulation. The proposed concept provides a useful basis for the future implementation of an EEW system in the Sichuan-Yunnan region.
C1 [Wang, Yuan; Li, Shanyou; Song, Jindong] China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Peoples R China.
C3 China Earthquake Administration; Institute of Engineering Mechanics, CEA
RP Song, JD (corresponding author), China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Peoples R China.
EM jdsong@iem.ac.cn
TC 28
Z9 30
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD DEC 3
PY 2020
VL 10
IS 1
AR 21055
DI 10.1038/s41598-020-78046-2
SC Science & Technology - Other Topics
UT WOS:000615394300055
ER

PT J
AU Qi, SW
   Xu, QA
   Lan, HX
   Zhang, B
   Liu, JY
AF Qi, Shengwen
   Xu, Qiang
   Lan, Hengxing
   Zhang, Bing
   Liu, Jianyou
TI Spatial distribution analysis of landslides triggered by 2008.5.12
   Wenchuan Earthquake, China
SO ENGINEERING GEOLOGY
DT Article
DE 2008.5.12 Wenchuan Earthquake; Slope; Landslide; Spatial analysis
ID TIBETAN PLATEAU; SICHUAN PROVINCE; EASTERN MARGIN; BENEATH; CRUSTAL;
   DEFORMATION; SHAN; ASIA
AB The 2008.5.12 Wenchuan Earthquake (seismic magnitude M-w 7.9 according to the USGS) triggered a great number of landslides. A spatial database of landslides is built by interpreting the remote sensing (RS) data which covers 11 counties severely damaged by the earthquake with area of about 31,686.12 km(2). The geological settings of the study area are detailed mapped including geologic structure and lithology. The digital elevation model (OEM) of the study area with resolution of 30 m x 30 m is presented to address the topographic characteristics. Correlations between the occurrence of landslides with geological settings i.e. active faults (the coseismic surface ruptures), geological unit, slope gradient, slope elevation as well as slope aspect are analyzed using spatial modeling in GIS with the aids of field investigations. It can be concluded that the distance to the causative faults and slope gradient are much more important than other factors. Landslides are clustered distributed along the causative faults of F2 and F3, and landslides incidence are dramatically decreasing with the increasing of the distance to the causative faults. The landslides incidence has an obvious increase near the active faults i.e. F1. Landslide concentration (LC, landslides/km(2)) has an obvious exponent increase with slope gradient. However, LC has no obvious relationship with geological unit and slope elevation: the difference of LC value in each geological unit (each slope elevation category) maybe have been the result affected by slope gradient for each geological unit (each slope elevation category) and distance of each geological unit (each slope elevation category) to causative fault zone. Isoseismal map reflects the incidence of landslides in some degree, and LC increases dramatically with Intensity increasing, almost all landslides occurred in the region above VI degree.
   Statistics result also indicates that in the near field of causative faults, landslides tend to have the initial sliding direction similar to the movement of the causative faults. And preliminary study shows that landslides incidence varies in different slopes with different structure, and consequent slopes and obsequent slopes have a higher landslides incidence than other layered slopes. (C) 2010 Elsevier B.V. All rights reserved.
C1 [Qi, Shengwen; Liu, Jianyou] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Engn Geomech, Beijing, Peoples R China.
   [Qi, Shengwen; Liu, Jianyou] Chaoyang Area, Beijing 100029, Peoples R China.
   [Qi, Shengwen; Xu, Qiang] Chengdu Univ Technology, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
   [Lan, Hengxing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Syst, Beijing 100101, Peoples R China.
   [Zhang, Bing] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   Chengdu University of Technology; Chinese Academy of Sciences; Institute
   of Geographic Sciences & Natural Resources Research, CAS; Chinese
   Academy of Sciences
RP Qi, SW (corresponding author), Chinese Acad Sci, Inst Geol & Geophys, Key Lab Engn Geomech, Beijing, Peoples R China.
EM qishengwen@mail.iggcas.ac.cn; xq@cdut.edu.cn; lanhx@lreis.ac.cn;
   zb@ceode.ac.cn; liujianyou@mail.iggcas.ac.cn
TC 301
Z9 354
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD OCT 27
PY 2010
VL 116
IS 1-2
BP 95
EP 108
DI 10.1016/j.enggeo.2010.07.011
SC Engineering; Geology
UT WOS:000284185400009
ER

PT J
AU Zhang, HZ
   Wang, XM
   Fan, JR
   Chi, TH
   Yang, S
   Peng, L
AF Zhang, Huaizhen
   Wang, Xiaomeng
   Fan, Jianrong
   Chi, Tianhe
   Yang, Shun
   Peng, Ling
TI Monitoring Earthquake-Damaged Vegetation after the 2008 Wenchuan
   Earthquake in the Mountainous River Basins, Dujiangyan County
SO REMOTE SENSING
DT Article
ID CATASTROPHIC EARTHQUAKE; RECOVERY ASSESSMENT; INDUCED LANDSLIDES; DEBRIS
   FLOWS; SEDIMENT; AREA; NETWORK; CONNECTIVITY; DESTRUCTION; SIMULATION
AB The 2008 Wenchuan earthquake destroyed large areas of vegetation in the Baisha River and Longxi River basins, in Dujiangyan County, China. There were several debris flow events in these mountainous river basins after 2008. Currently, these damaged vegetation areas are in various stages of recovery. This recovery vegetation improves the resistance of slopes to both surficial erosion and mass wasting. We introduce a probabilistic approach to determining the relationships between damaged vegetation and slope materials' stability, and model the sediment and flow (hydrological) connectivity index to detect the hydrological changes in a given river basin, using the multi-temporal (1994-2014) remote-sensing images to monitor the vegetation recovery processes. Our results demonstrated that the earthquake-damaged vegetation areas have coupling relationships with topographic environment and slope material properties, and can be used to assess the slope material stability. Further, our analysis results showed that the areas with horizontal distance to river streams <500 m are areas that actively contribute sediment to the stream channel network, and are main material sources for debris flow processes in one given mountainous basin.
C1 [Zhang, Huaizhen; Fan, Jianrong] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Zhang, Huaizhen; Wang, Xiaomeng; Chi, Tianhe; Peng, Ling] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
   [Zhang, Huaizhen; Wang, Xiaomeng] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Yang, Shun] Chinese Geol Survey, Tech Ctr Geol Hazard Prevent & Control, Chengdu 611734, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; The Institute of Remote
   Sensing & Digital Earth, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Fan, JR (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM zhanghz@radi.ac.cn; wangxm01@radi.ac.cn; fjrong@imde.ac.cn;
   chith@radi.ac.cn; yangsh@cgiet.com; PL20158@126.com
TC 10
Z9 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD JUN
PY 2015
VL 7
IS 6
BP 6808
EP 6827
DI 10.3390/rs70606808
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000357589800013
ER

PT J
AU Pan, G
   Tang, DL
AF Pan, Gang
   Tang, Danling
TI Damage information derived from multi-sensor data of the Wenchuan
   Earthquake of May 2008
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID SAR INTERFEROMETRY; SATELLITE; RADAR; SPACE
AB The Wenchuan Earthquake of magnitude 8.0 struck Sichuan Province in south-west China on 12 May 2008. This paper presents an overview of the use of multi-source satellite images in investigating the influence of this earthquake around the epicentral area. The results show the capability of remote sensing technique for damage detection in quake-hit areas. Optical satellite images (FORMOSAT-2 and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)) provide useful information, although rain and cloud limit the availability of satellite data. However, the Synthetic Aperture Radar (SAR) sensor provides information in all weather conditions. Combined optical satellite and SAR data have been used to assess the damage of earthquakes, including landslides, barrier lakes and collapsed buildings. From the interferogram of two phased array type L-band SAR (PALSAR)/Advanced Land Observing Satellite (ALOS) images, more than 100 cm of ground displacement was found in Beichuan County, one of the worst-affected earthquake areas. These examples show the use of satellite images in post-disaster damage assessment and planning during the rescue operation soon after a major event such as the 12 May 2008 earthquake.
C1 [Tang, Danling] Chinese Acad Sci, Res Ctr Remote Sensing Marine Ecol & Environm RSM, Guangzhou 510301, Guangdong, Peoples R China.
   Chinese Acad Sci, Key Lab Trop Marine Environm Dynam LED, S China Sea Inst Oceanol, Guangzhou 510301, Guangdong, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; South China
   Sea Institute of Oceanology, CAS
RP Tang, DL (corresponding author), Chinese Acad Sci, Res Ctr Remote Sensing Marine Ecol & Environm RSM, Guangzhou 510301, Guangdong, Peoples R China.
EM lingzistdl@126.com
TC 28
Z9 31
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0143-1161
PY 2010
VL 31
IS 13
BP 3509
EP 3519
AR PII 924648128
DI 10.1080/01431161003730865
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000013
ER

PT J
AU Yang, ZJ
   Qiao, JP
   Uchimura, T
   Wang, L
   Lei, XQ
   Huang, D
AF Yang, Zongji
   Qiao, Jianping
   Uchimura, Taro
   Wang, Lin
   Lei, Xiaoqin
   Huang, Dong
TI Unsaturated hydro-mechanical behaviour of rainfall-induced mass
   remobilization in post-earthquake landslides
SO ENGINEERING GEOLOGY
DT Article
DE Hydro-mechanical behaviour; Mass remobilization; Rainfall-induced
   landslide; Unsaturated slope
ID WENCHUAN EARTHQUAKE; STABILITY; SLOPE; FLOW; INFILTRATION; DEPOSITS;
   AREAS; MODEL
AB Clarifying the hydro-mechanical characteristics of the mechanism associated with mass remobilization is a major step towards landslide early warning, but this clarification is usually hampered by a lack of in situ evidence. In this study, shallow rainfall-triggered slope failures under partially saturated conditions were documented by combining instrumental evidence from field experiments on a natural co-seismic landslide and hydro-mechanical slope stability analysis in an earthquake-affected region. The results revealed the transient processes and unsaturated conditions associated with mass movement in response to rainfall, and preferential flow paths were found to dominate the hydrological processes during rainfall infiltration in the landslide deposit. The results also demonstrated the importance of certain hydrological parameters, including soil matric suction and moisture content, in landslide early warning. This study reveals a partially saturated hydro-mechanical behaviour to predict the initiation of rainfall-induced landslides during post-earthquake disaster relief.
C1 [Yang, Zongji; Qiao, Jianping; Lei, Xiaoqin; Huang, Dong] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Uchimura, Taro] Saitama Univ, Dept Civil & Environm Engn, Saitama 3388570, Japan.
   [Wang, Lin] Chuo Kaihatsu Corp, Shinjuku Ku, Tokyo 1698612, Japan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Saitama University
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, 9,Block 4,South Renmin Rd, Chengdu 610041, Sichuan, Peoples R China.
EM yzj@imde.ac.cn
TC 49
Z9 58
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD MAY 18
PY 2017
VL 222
BP 102
EP 110
DI 10.1016/j.enggeo.2017.04.001
SC Engineering; Geology
UT WOS:000402343900010
ER

PT J
AU Chen, ZC
   Zhang, B
   Han, YS
   Zuo, ZL
   Zhang, XY
AF Chen, Zhengchao
   Zhang, Bing
   Han, Yongshun
   Zuo, Zhengli
   Zhang, Xiaoyong
TI Modeling Accumulated Volume of Landslides Using Remote Sensing and DTM
   Data
SO REMOTE SENSING
DT Article
DE landslide; volume calculation; mass balance; remote sensing; digital
   terrain model (DTM); Wenchuan
ID EARTHQUAKE-INDUCED LANDSLIDES; HAZARD ASSESSMENT; DEBRIS FLOW; RAINFALL
AB Landslides, like other natural hazards, such as avalanches, floods, and debris flows, may result in a lot of property damage and human casualties. The volume of landslide deposits is a key parameter for landslide studies and disaster relief. Using remote sensing and digital terrain model (DTM) data, this paper analyzes errors that can occur in calculating landslide volumes using conventional models. To improve existing models, the mechanisms and laws governing the material deposited by landslides are studied and then the mass balance principle and mass balance line are defined. Based on these ideas, a novel and improved model (Mass Balance Model, MBM) is proposed. By using a parameter called the. height adaptor., MBM translates the volume calculation into an automatic search for the mass balance line within the scope of the landslide. Due to the use of mass balance constraints and the height adaptor, MBM is much more effective and reliable. A test of MBM was carried out for the case of a typical landslide, triggered by the Wenchuan Earthquake of 12 May 2008.
C1 [Chen, Zhengchao; Zhang, Bing; Zuo, Zhengli] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Han, Yongshun] Hunan Univ Sci & Technol, Hunan Prov Engn Lab Geospatial Informat, Xiangtan 411201, Peoples R China.
   [Zhang, Xiaoyong] China Earthquake Adm, Natl Earthquake Response Support Serv, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Hunan University of Science & Technology; China Earthquake
   Administration
RP Zhang, B (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM zcchen@ceode.ac.cn; zb@ceode.ac.cn; yongshunhan@126.com;
   zlzuo@ceode.ac.cn; zhangxy@lreis.ac.cn
TC 34
Z9 41
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD FEB
PY 2014
VL 6
IS 2
BP 1514
EP 1537
DI 10.3390/rs6021514
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000336092100029
ER

PT J
AU Kang, JM
   Wang, ZH
   Cheng, HB
   Wang, J
   Liu, XL
AF Kang, Junmei
   Wang, Zhihua
   Cheng, Hongbin
   Wang, Jun
   Liu, Xiaoliang
TI Remote Sensing Land Use Evolution in Earthquake-Stricken Regions of
   Wenchuan County, China
SO SUSTAINABILITY
DT Article
DE remote sensing; Wenchuan earthquake; land use; landscape pattern;
   spatial-temporal evolution
ID TIME-SERIES DATA; VEGETATION RECOVERY; INDUCED LANDSLIDES; GEO-HAZARDS;
   COVER; RECONSTRUCTION; TECHNOLOGY; DISASTERS
AB Earthquakes and their secondary geological disasters have a certain impact on the land cover, which leads to the degradation of the ecological environment and the stability of the ecosystem. At present, there are few studies on the spatial-temporal evolution characteristics of land-use change in earthquake-stricken regions, especially the lack of quantitative evaluation of the impact of earthquakes on land use at the micro-scale. The "5 center dot 12" Wenchuan ms8.0 earthquake caused serious damage to the surface resources in the disaster area. The study on the spatial-temporal evolution characteristics of land-use change in the disaster area can provide a reference for the remote sensing dynamic monitoring of the ecological environment. Therefore, based on geographical big data, this paper used a land-use comprehensive degree index, land-use transfer matrix, and landscape ecological index to explore and analyze the spatial-temporal evolution characteristics of land use in Wenchuan County before and after the earthquake. The results showed that the types of cropland, forest, built-up, and bare land changed greatly before and after the earthquake. During the earthquake recovery period, the comprehensive index of land use in the study area basically showed an increasing trend. Under the effect of artificial measures and natural restoration, land use was continuously improved, and vegetation was restored well. After 2008, the Patch Density (PD) and Landscape Shape Index (LSI) values of most landscape types decreased, and the Aggregation Index (AI) values increased, indicating that the ecological environment of the whole region showed a benign development in the post-earthquake period. The results not only contribute to the establishment of scientific ecological environment management in earthquake-stricken regions but also contribute to the formulation of long-term ecological environment monitoring and ecological restoration planning according to the law of land-use change.
C1 [Kang, Junmei; Cheng, Hongbin; Wang, Jun] China Earthquake Adm, Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China.
   [Wang, Zhihua; Liu, Xiaoliang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Wang, Zhihua; Liu, Xiaoliang] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
C3 China Earthquake Administration; The Second Monitoring & Application
   Center, CEA; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Wang, ZH (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.; Wang, ZH (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
EM zhwang@lreis.ac.cn
TC 13
Z9 15
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD AUG
PY 2022
VL 14
IS 15
AR 9721
DI 10.3390/su14159721
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000839046600001
ER

PT J
AU Tang, R
   Fan, XM
   Scaringi, G
   Xu, Q
   van Westen, CJ
   Ren, J
   Havenith, HB
AF Tang, Ran
   Fan, Xuanmei
   Scaringi, Gianvito
   Xu, Qiang
   van Westen, Cees J.
   Ren, Jing
   Havenith, Hans-Balder
TI Distinctive controls on the distribution of river-damming and
   non-damming landslides induced by the 2008 Wenchuan earthquake
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslide; Landslide dam; Wenchuan earthquake; Controlling factors;
   Weight of evidence
ID RAINFALL-INDUCED LANDSLIDES; SPATIAL PREDICTION MODELS; EASTERN MARGIN;
   SUSCEPTIBILITY ASSESSMENT; TIBETAN PLATEAU; HAZARD; WEIGHTS; GIS;
   SICHUAN; INCISION
AB The 2008 Wenchuan earthquake (China, M-w 7.9) highlighted the importance of assessing and mitigating the hazards from co-seismic landslides and landslide dams. The seismic shaking triggered hundreds of thousands of landslides, about 800 of which dammed the course of rivers. To understand whether distinctive factors concurred with the river-damming events, we analyzed the spatial patterns of the river-damming landslides and the non-damming landslides separately, with reference to a number of possible controlling factors. Then, we quantified the significance of these factors using the weight of evidence method, and we used the results to perform a susceptibility assessment in a portion of the earthquake-affected region to verify the effectiveness of the method. We find that the distance to the fault surface rupture, peak ground acceleration (PGA) and lithology play a controlling role for co-seismic landslides of any type. The occurrence of river-damming landslides, rather than by a specific lithology or topography, is more related to hydrological factors, while topographic controls (slope, internal relief and terrain roughness) are more significant for the non-damming landslides.
C1 [Tang, Ran; Fan, Xuanmei; Scaringi, Gianvito; Xu, Qiang; Ren, Jing] Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
   [Fan, Xuanmei; Scaringi, Gianvito] Chengdu Univ Technol, Chengdu 610059, Sichuan, Peoples R China.
   [van Westen, Cees J.] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Havenith, Hans-Balder] Univ Liege, Georisques & Environm, Liege, Belgium.
C3 Chengdu University of Technology; Chengdu University of Technology;
   University of Twente; University of Liege
RP Fan, XM; Scaringi, G (corresponding author), Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.; Fan, XM; Scaringi, G (corresponding author), Chengdu Univ Technol, Chengdu 610059, Sichuan, Peoples R China.
EM fxm_cdut@qq.com; g.scaringi@qq.com
TC 19
Z9 19
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD SEP
PY 2019
VL 78
IS 6
BP 4075
EP 4093
DI 10.1007/s10064-018-1381-8
SC Engineering; Geology
UT WOS:000482240400016
ER

PT J
AU Huang, JW
   Liu, SJ
   Ni, Q
   Mao, WF
   Gao, X
AF Huang, Jianwei
   Liu, Shanjun
   Ni, Qiang
   Mao, Wenfei
   Gao, Xiang
TI Experimental Study of Extracting Weak Infrared Signals of Rock Induced
   by Cyclic Loading under the Strong Interference Background
SO APPLIED SCIENCES-BASEL
DT Article
DE remote sensing rock mechanics; stress detection; interference; thermal
   infrared measurements
ID WENCHUAN EARTHQUAKE; SATELLITE DETECTION; SENSITIVE WAVEBAND; SPECTRAL
   VARIATION; MAJOR EARTHQUAKES; TEMPERATURE; PRECURSORS; RADIATION; FAULT;
   FAILURE
AB To understand the possibility of monitoring the crustal stress and tectonic activities via satellite remote sensing technology, an experimental study focused on the thermal infrared variation was performed for cyclic loaded rock in the outdoor condition with two types of strong interference background. The stress-induced infrared radiation was extracted using wavelet analysis. The results showed that due to the significant effect of the ambient temperature, the weak stress-induced infrared signal was indistinguishable from the original infrared radiation. However, after wavelet decomposition, the infrared radiation concurrent with the change in stress became clear, and the correlation coefficient with the stress increased significantly with the value of 0.91 after decomposition. Additionally, the amplitude of the extracted stress-induced infrared signal was close to the theoretical result, indicating that the wavelet analysis method can extract the weak infrared signals induced by cyclic loading in the background of strong interference to some degree. The results provide an experimental basis and ideas for monitoring crustal stress and tectonic activities using thermal infrared remote sensing.
C1 [Huang, Jianwei; Liu, Shanjun; Ni, Qiang; Mao, Wenfei; Gao, Xiang] Northeastern Univ, Minist Educ Safe Min Deep Met Mines, Key Lab, Shenyang 110819, Liaoning, Peoples R China.
   [Huang, Jianwei; Liu, Shanjun; Ni, Qiang; Mao, Wenfei; Gao, Xiang] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Liaoning, Peoples R China.
C3 Northeastern University - China; Northeastern University - China
RP Liu, SJ (corresponding author), Northeastern Univ, Minist Educ Safe Min Deep Met Mines, Key Lab, Shenyang 110819, Liaoning, Peoples R China.; Liu, SJ (corresponding author), Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Liaoning, Peoples R China.
EM hjw1028@126.com; liusjdr@126.com; niqang@163.com; maowf2014@126.com;
   gx16626@126.com
TC 10
Z9 10
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
PD SEP
PY 2018
VL 8
IS 9
AR 1458
DI 10.3390/app8091458
SC Chemistry; Engineering; Materials Science; Physics
UT WOS:000445760200047
ER

PT J
AU Domènech, G
   Fan, XM
   Scaringi, G
   van Asch, TWJ
   Xu, Q
   Huang, RQ
   Hales, TC
AF Domenech, Guillem
   Fan, Xuanmei
   Scaringi, Gianvito
   van Asch, Theo W. J.
   Xu, Qiang
   Huang, Runqiu
   Hales, Tristram C.
TI Modelling the role of material depletion, grain coarsening and
   revegetation in debris flow occurrences after the 2008 Wenchuan
   earthquake
SO ENGINEERING GEOLOGY
DT Article
DE Debris flow evolution; Material depletion; Grain coarsening;
   Revegetation; Rainfall thresholds; Wenchuan earthquake
ID INTENSITY-DURATION THRESHOLD; RAINFALL-INDUCED LANDSLIDES; LOOSE
   GRANULAR DEPOSITS; SOIL-EROSION MODEL; ROOT REINFORCEMENT; INITIATION;
   EVOLUTION; IMPACT; RUNOUT; ENTRAINMENT
AB A large amount of debris was generated by the co-seismic mass wasting associated with the 2008 M-w 7.9 Wenchuan earthquake. The abundance of this loose material along the slopes caused more frequent debris flows, triggered by less intense and/or shorter rainfalls. However, both the triggering rainfall and the debris flow frequency seem to have normalised progressively during the past decade. Although changes of rainfall thresholds for post-seismic debris flows were recorded after several major earthquakes, the factors controlling these changes remain poorly constrained. With the aid of a virtual experiment, we investigate the roles of material depletion, grain coarsening and revegetation of the co-seismic debris on the propagation and deposition of debris flows initiated by runoff, as well as their influence on the triggering rainfall thresholds. We employ a Geographic Information System (GIS)-based simulation of debris flow initiation by runoff erosion, which we first calibrate on the 14th August 2010 Hongchun gully event that occurred near the Wenchuan earthquake epicentre. We obtain, by investigating each of the aforementioned processes, changing critical rainfall intensity-duration thresholds for given debris flow runout distances. Grain coarsening appears to play a major role, which is consistent with published laboratory experiments, while material depletion and revegetation do not seem able to account alone for the actual quick decay of debris flow frequency. While the virtual experiment has proven useful in identifying the first-order controls on this decay, model improvements and verification over multiple catchments are needed to make the results useful in hazard assessments.
C1 [Scaringi, Gianvito] Charles Univ Prague, Inst Hydrogeol Engn Geol & Appl Geophys, Fac Sci, Prague 12843, Czech Republic.
   [Domenech, Guillem; Fan, Xuanmei; Scaringi, Gianvito; van Asch, Theo W. J.; Xu, Qiang; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
   [van Asch, Theo W. J.] Univ Utrecht, Fac Geosci, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
   [Hales, Tristram C.] Cardiff Univ, Sch Earth & Ocean Sci, Sustainable Pl Res Inst, Cardiff CF10 3AT, S Glam, Wales.
C3 Charles University Prague; Chengdu University of Technology; Utrecht
   University; Cardiff University
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM fxm_cdut@qq.com
TC 95
Z9 99
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD FEB 21
PY 2019
VL 250
BP 34
EP 44
DI 10.1016/j.enggeo.2019.01.010
SC Engineering; Geology
UT WOS:000461404500004
ER

PT J
AU Xiong, J
   Chen, HY
   Zeng, L
   Su, FH
   Gong, LF
   Tang, CX
AF Xiong, Jiang
   Chen, Hua-yong
   Zeng, Lu
   Su, Feng-huan
   Gong, Ling-feng
   Tang, Chen-xiao
TI Coseismic landslide sediment increased by the "9.5" Luding earthquake,
   Sichuan, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Luding earthquake; Landslide sediment; Debris flow activity; Remote
   sensing image
ID CATASTROPHIC DEBRIS FLOWS; 2013 LUSHAN EARTHQUAKE; WENCHUAN EARTHQUAKE;
   SPATIAL-DISTRIBUTION; SOUTHWESTERN CHINA; RAINFALL THRESHOLD; RIVER;
   AREA; CONNECTIVITY; DELIVERY
AB The "9.5" Luding earthquake (Ms 6.8), which occurred on September 5, 2022, has triggered thousands of landslides, and caused coseismic landslide sediment in the mountain basin to increase significantly. After the Luding earthquake, landslide sediment may continue to divert to channels, and increase the activity of debris flows. Importantly, the formation of debris flows can pose a major threat to infrastructure, lives and property. To better understand the landslide sediment that increased by the "9.5" Luding earthquake and its impact on the activity of debris flows, we mapped the coseismic landslide database using satellite images. A total of 9142 landslides with an area of 49.51 km(2), covering 4.81% of the whole basin, were triggered by the Luding earthquake. The coseismic landslides induced by this earthquake are dominated by shallow landslides and are densely distributed in the combined zone of the Xianshuihe fault and the Dadu fault. Approximately 333.31x10(6) m(3) (error: 111.43x10(6) m(3)/-70.73x10(6) m(3)) of coseismic landslide sediments were induced by the earthquake in the epicenter, and the landslide materials were concentrated downstream of the basins. In addition, more than 13986.45x10(4) m(3) (error: 4675.67x10(4) m(3)/-2967.92x10(4) m(3)) of landslide sediment may supply for debris flow occurrence. Simultaneously, the small basins that are distributed near Moxi, Detuo and the junction of the Xianshuihe fault and Daduhe fault are more susceptible to debris flows when rainstorms hit these regions. Therefore, prevention and mitigation measures, early warning, and land use planning should be adopted in advance in these regions. However, from the perspectives of landslide scale and the degree of landslide-channel coupling, the activity or active intensity of debris flows in the Luding earthquake area may be lower than that in the epicenter area of the 2008 Wenchuan earthquake.
C1 [Xiong, Jiang; Chen, Hua-yong; Zeng, Lu; Su, Feng-huan; Tang, Chen-xiao] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China.
   [Gong, Ling-feng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; China Geological Survey
RP Chen, HY; Zeng, L (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610299, Peoples R China.
EM xiongjiang@imde.ac.cn; hychen@imde.ac.cn; zenglu@imde.ac.cn;
   fhsu@imde.ac.cn; 308488910@qq.com; c.tang@imde.ac.cn
TC 17
Z9 21
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD MAR
PY 2023
VL 20
IS 3
BP 624
EP 636
DI 10.1007/s11629-022-7770-2
EA MAR 2023
SC Environmental Sciences & Ecology
UT WOS:000947171400002
ER

PT J
AU Geiss, C
   Taubenböck, H
AF Geiss, Christian
   Taubenboeck, Hannes
TI Remote sensing contributing to assess earthquake risk: from a literature
   review towards a roadmap
SO NATURAL HAZARDS
DT Review
DE Remote sensing; Earthquake; Risk; Hazard; Vulnerability; Literature
   review; Roadmap
ID SOCIAL VULNERABILITY ASSESSMENT; RESOLUTION SATELLITE IMAGERY;
   BUILDING-DAMAGE DETECTION; 2008 WENCHUAN EARTHQUAKE; NATURAL HAZARDS;
   CLIMATE-CHANGE; PRE-EARTHQUAKE; SEISMIC HAZARD; RADAR INTERFEROMETRY;
   DISPLACEMENT FIELD
AB Remote sensing data and methods are widely deployed in order to contribute to the assessment of numerous components of earthquake risk. While for earthquake hazard-related investigations, the use of remotely sensed data is an established methodological element with a long research tradition, earthquake vulnerability-centred assessments incorporating remote sensing data are increasing primarily in recent years. This goes along with a changing perspective of the scientific community which considers the assessment of vulnerability and its constituent elements as a pivotal part of a comprehensive risk analysis. Thereby, the availability of new sensors systems enables an appreciable share of remote sensing first. In this manner, a survey of the interdisciplinary conceptual literature dealing with the scientific perception of risk, hazard and vulnerability reveals the demand for a comprehensive description of earthquake hazards as well as an assessment of the present and future conditions of the elements exposed. A review of earthquake-related remote sensing literature, realized both in a qualitative and quantitative manner, shows the already existing and published manifold capabilities of remote sensing contributing to assess earthquake risk. These include earthquake hazard-related analysis such as detection and measurement of lineaments and surface deformations in pre- and post-event applications. Furthermore, pre-event seismic vulnerability-centred assessment of the built and natural environment and damage assessments for post-event applications are presented. Based on the review and the discussion of scientific trends and current research projects, first steps towards a roadmap for remote sensing are drawn, explicitly taking scientific, technical, multi-and transdisciplinary as well as political perspectives into account, which is intended to open possible future research activities.
C1 [Geiss, Christian; Taubenboeck, Hannes] German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Oberpfaffenhofen, Wessling, Germany.
C3 Helmholtz Association; German Aerospace Centre (DLR)
RP Taubenböck, H (corresponding author), German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, D-82234 Oberpfaffenhofen, Wessling, Germany.
EM christian.geiss@dlr.de; hannes.taubenboeck@dlr.de
TC 75
Z9 88
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD AUG
PY 2013
VL 68
IS 1
BP 7
EP 48
DI 10.1007/s11069-012-0322-2
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000322724000002
ER

PT J
AU Ye, CM
   Li, Y
   Cui, P
   Liang, L
   Pirasteh, S
   Marcato, J 
   Gonçalves, WN
   Li, J
AF Ye, Chengming
   Li, Yao
   Cui, Peng
   Liang, Li
   Pirasteh, Saeid
   Marcato, Jose, Jr.
   Goncalves, Wesley Nunes
   Li, Jonathan
TI Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep
   Learning With Constrains
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Terrain factors; Feature extraction; Hyperspectral imaging; Deep
   learning; Support vector machines; Deep belief network (DBN); deep
   learning; feature extraction; hyperspectral data; landslide
ID SPECTRAL-SPATIAL CLASSIFICATION; IMAGE CLASSIFICATION; WENCHUAN
   EARTHQUAKE; SOIL-EROSION; INVENTORY; FOREST; INTERFEROMETRY;
   BIODIVERSITY; REGRESSION; FEATURES
AB Detecting and monitoring landslides are hot topics in remote sensing community, particularly with the development of remote sensing technologies and the significant progress of computer vision. To the best of our knowledge, no study focused on deep learning-based methods for landslide detection on hyperspectral images. We proposes a deep learning framework with constraints to detect landslides on hyperspectral image. The framework consists of two steps. First, a deep belief network is employed to extract the spectral-spatial features of a landslide. Second, we insert the high-level features and constraints into a logistic regression classifier for verifying the landslide. Experimental results demonstrated that the framework can achieve higher overall accuracy when compared to traditional hyperspectral image classification methods. The precision of the landslide detection on the whole image, obtained by the proposed method, can reach 97.91%, whereas the precision of the linear support vector machine, spectral information divergence, and spectral angle match are 94.36%, 84.50%, and 86.44%, respectively. Also, this article reveals that the high-level feature extraction system has a significant potential for landslide detection, especially in multi-source remote sensing.
C1 [Ye, Chengming] Chengdu Univ Technol, Minist Educ, Key Lab Earth Explorat & Informat Technol, Chengdu 610059, Peoples R China.
   [Li, Yao; Cui, Peng] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Li, Yao; Cui, Peng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Li, Yao; Cui, Peng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Liang, Li] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
   [Pirasteh, Saeid] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
   [Marcato, Jose, Jr.; Goncalves, Wesley Nunes] Univ Fed Mato Grosso do Sul, Fac Engn Architecture & Urbanism & Geog, BR-79070900 Campo Grande, MS, Brazil.
   [Goncalves, Wesley Nunes] Univ Fed Mato Grosso do Sul, Fac Comp Sci, BR-79070900 Campo Grande, MS, Brazil.
   [Li, Jonathan] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Li, Jonathan] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON N2L 3G1, Canada.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Chinese
   Academy of Sciences; Institute of Mountain Hazards & Environment, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS; Chengdu University of Technology; Southwest Jiaotong University;
   Universidade Federal de Mato Grosso do Sul; Universidade Federal de Mato
   Grosso do Sul; University of Waterloo; University of Waterloo
RP Li, Y (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.; Li, Y (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM rsgis@sina.com; yaolicd@hotmail.com; pengcui@imde.ac.cn;
   liangl@cdut.edu.cn; s2pirast@uwaterloo.ca; wesley.goncalves@ufms.br;
   junli@uwaterloo.ca
TC 116
Z9 127
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PD DEC
PY 2019
VL 12
IS 12
BP 5047
EP 5060
DI 10.1109/JSTARS.2019.2951725
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000515698700030
ER

PT J
AU Gao, J
   Zhang, W
   Yang, CBX
   Wang, R
   Shao, S
   Li, JW
   Zhang, LM
   Li, ZJ
   Liu, S
   Si, WT
AF Gao, Jie
   Zhang, Wu
   Yang, Chunbaixue
   Wang, Rui
   Shao, Shuai
   Li, Jiawei
   Zhang, Limiao
   Li, Zhijian
   Liu, Shu
   Si, Wentao
TI Comparative Study on International Research Hotspots and National-Level
   Policy Keywords of Dynamic Disaster Monitoring and Early Warning in
   China (2000-2021)
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
DT Article
DE dynamic disaster monitoring and early warning; research hotspot; policy
   keyword; policy document quantification; knowledge map visualization;
   emergency management; disaster prevention and mitigation
ID COAL; DIFFUSION; SYSTEMS; FORM
AB For more than 20 years, disaster dynamic monitoring and early warning have achieved orderly and sustainable development in China, forming a systematic academic research system and top-down policy design, which are inseparable from the research of China's scientific community and the promotion of government departments. In the past, most of the research on dynamic disaster monitoring and early warning focused on specific research in a certain field, scene, and discipline, while a few studies focused on research review or policy analysis, and few studies combined macro and meso research reviews in academia with national policy analysis for comparative analysis. It is necessary and urgent to explore the interaction between scholars' research and policy deployment, which can bring theoretical contributions and policy references to the top-down design, implementation promotion, and academic research of China's dynamic disaster monitoring and early warning. Based on 608 international research articles on dynamic disaster monitoring and early warning published by Chinese scholars from 2000-2021 and 187 national policy documents published during this period, this paper conducts a comparative analysis between the knowledge maps of international research hotspots and the co-occurrence maps of policy keywords on dynamic disaster monitoring and early warning. The research shows that in the stage of initial development (2000-2007), international research articles are few and focused, and research hotspots are somewhat alienated from policy keywords. In the stage of rising development (2008-2015), after the Wenchuan earthquake, research hotspots are closely related to policy keywords, mainly in the fields of geology, engineering disasters, meteorological disasters, natural disasters, etc. Meanwhile, research hotspots also focus on cutting-edge technologies and theories, while national-level policy keywords focus more on overall governance and macro promotion, but the two are gradually closely integrated. In the stage of rapid development (2016-2021), with the continuous attention and policy promotion of the national government, the establishment of the Ministry of Emergency Management, and the gradual establishment and improvement of the disaster early warning and monitoring system, research hotspots and policy keywords are integrated and overlapped with each other, realizing the organic linkage and mutual promotion between academic research and political deployment. The motivation, innovation, integration, and transformation of dynamic disaster monitoring and early warning are promoted by both policy and academic research. The institutions that issue policies at the national level include the State Council and relevant departments, the Ministry of Emergency Management, the Ministry of Water Resources, and other national ministries and commissions. The leading affiliated institutions of scholars' international research include China University of Mining and Technology, Chinese Academy of Sciences, Wuhan University, Shandong University of Science and Technology, and other institutions. The disciplines involved are mainly multidisciplinary geosciences, environmental sciences, electrical and electronic engineering, remote sensing, etc. It is worth noting that in the past two to three years, research and policies focusing on COVID-19, public health, epidemic prevention, environmental governance, and emergency management have gradually increased.
C1 [Gao, Jie; Zhang, Wu; Wang, Rui] Shandong Univ, Sch Innovat & Entrepreneurship, Qingdao 266237, Peoples R China.
   [Yang, Chunbaixue] Hunan Univ Finance & Econ, Sch Finance, Changsha 410025, Peoples R China.
   [Shao, Shuai] Shandong Univ, Inst Marine Sci & Technol, Qingdao 266237, Peoples R China.
   [Li, Jiawei] Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266237, Peoples R China.
   [Zhang, Limiao] Anhui Univ, Informat Mat & Intelligent Sensing Lab Anhui Prov, Hefei 230601, Peoples R China.
   [Li, Zhijian] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
   [Liu, Shu] Tsinghua Univ, Inst Intelligent Soc Governance, Beijing 100084, Peoples R China.
   [Si, Wentao] Shandong Normal Univ, Sch Publ Adm, Jinan 250014, Peoples R China.
C3 Shandong University; Hunan University of Finance & Economics; Shandong
   University; Chinese Academy of Fishery Sciences; Yellow Sea Fisheries
   Research Institute, CAFS; Anhui University; Tsinghua University;
   Tsinghua University; Shandong Normal University
RP Yang, CBX (corresponding author), Hunan Univ Finance & Econ, Sch Finance, Changsha 410025, Peoples R China.; Si, WT (corresponding author), Shandong Normal Univ, Sch Publ Adm, Jinan 250014, Peoples R China.
EM yangchunbaixue@hufe.edu.cn; siwentao@sdnu.edu.cn
TC 4
Z9 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
PD NOV
PY 2022
VL 19
IS 22
AR 15107
DI 10.3390/ijerph192215107
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
UT WOS:000887230100001
ER

PT J
AU Ren, ZK
   Zhang, ZQ
   Dai, FC
   Yin, JH
   Zhang, HP
AF Ren, Zhikun
   Zhang, Zhuqi
   Dai, Fuchu
   Yin, Jinhui
   Zhang, Huiping
TI Topographic changes due to the 2008 Mw 7.9 Wenchuan earthquake as
   revealed by the differential DEM method
SO GEOMORPHOLOGY
DT Article
DE Wenchuan earthquake; Longmen Shan; Topographic change; Denudation;
   Differential DEM
ID EASTERN MARGIN; AIRBORNE LIDAR; THRUST BELT; LANDSLIDES; EROSION; FAULT;
   OBLIQUE; UPLIFT; RIVER; FIELD
AB Landscape evolution in active orogenic regions is inevitably affected by the repeated strong earthquakes triggered by the corresponding active faults. However, the lack of adequate methods for the documentation and monitoring of mountain-building processes has resulted in a shortage of quantitative estimates of orogenic and eroded volumes. A strong earthquake and its associated co-seismic landslides represent a sudden pulse in landscape evolution in tectonically active areas. The 2008 Mw 7.9 Wenchuan earthquake dramatically modified the topography of the Longmen Shan region. Based on topographic data before the earthquake and stereo pairs of post-earthquake remote sensing imagery, we derived pre- and post-earthquake DEMs (digital elevation models) of the three regions along the Longmen Shan Thrust Belt. By comparing the geomorphic features before and after the earthquake, we find that the Wenchuan earthquake smoothed the steep relief and caused a co-seismic uplift of the Longmen Shan region. The medium-relief regions increased; however, the high-relief regions decreased, indicating that the local relief is controlled by repeated strong earthquakes. The changed slope aspect indicates that the formation and modification of the east- and west-facing slopes are controlled by tectonic events in the Longmen Shan region, which might be associated with the regional stress field. However, the unchanged aspects of other slopes might be controlled by long-term erosion rather than tectonic events. The topographic changes, landslide volume and co-seismic uplift indicate that the greatest seismically induced denudation occurred in association with a thrust faulting mechanism and low-angle fault geometry. Our findings reveal that the local relief has been shaped by the localized, seismically induced high rate of denudation within the plateau margins, and that the formation of local relief is also related to tectonic events, especially the events that have occurred on low-angle faults. This study also indicates that the multi-temporal DEM differential method is valuable in detecting seismically induced topographic change. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Ren, Zhikun; Zhang, Zhuqi; Yin, Jinhui; Zhang, Huiping] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
   [Ren, Zhikun] Kyoto Univ, Grad Sch Sci, Dept Geophys, Kyoto 6068502, Japan.
   [Dai, Fuchu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Kyoto
   University; Chinese Academy of Sciences; Institute of Geology &
   Geophysics, CAS
RP Ren, ZK (corresponding author), China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
EM rzk@ies.ac.cn
TC 26
Z9 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD JUL 15
PY 2014
VL 217
BP 122
EP 130
DI 10.1016/j.geomorph.2014.04.020
SC Physical Geography; Geology
UT WOS:000338818700010
ER

PT J
AU Yang, WT
   Wang, M
   Shi, PJ
AF Yang, Wentao
   Wang, Ming
   Shi, Peijun
TI Using MODIS NDVI Time Series to Identify Geographic Patterns of
   Landslides in Vegetated Regions
SO IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
DT Article
DE Earthquake; landslide identification; normalized difference vegetation
   index (NDVI) time series; remote sensing
ID WENCHUAN EARTHQUAKE
AB The 2008 Wenchuan Earthquake that occurred in a mountainous region of China induced massive landslides and caused numerous casualties and property losses. Analyzing the disturbances on vegetation detected from the abnormal sudden drops of the normalized difference vegetation index (NDVI) within a short period can be used for the purpose of rapid landslide identification. Although much research has confirmed the necessity of high-resolution satellite images in landslides identification, Moderate Resolution Imaging Spectroradiometry (MODIS) products still have their usefulness for high temporal resolution, as investigated by the authors. Using MODIS MOD09Q1 NDVI products at a temporal interval of 8 days during 2008, this letter presents a method that has been developed to identify landslide distribution and evolution patterns. First, to find the optimal threshold, the MODIS NDVI time series are analyzed in a training area by an iteration searching procedure. Second, the chosen threshold is used in a larger validation area. To examine the effectiveness of the proposed method, the results are compared to interpreted landslides using SPOT5 images with a spatial resolution of 2.5 m acquired before and after the main shock. An overall 75% accuracy is achieved, and better consistency is observed for landslides extending over one MODIS pixel. The proposed method has also been applied to the Wenchuan earthquake affected areas with seismic intensity IX and greater, and the similar spatial pattern of landslides distribution is obtained when compared with results by using high-resolution images and field investigation. This technique can be applied practically for rapid landslide assessment at a relatively large region after a major earthquake or other severe disturbance events.
C1 [Yang, Wentao; Wang, Ming; Shi, Peijun] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
   [Yang, Wentao; Wang, Ming; Shi, Peijun] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Yang, WT (corresponding author), Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
EM wangming@bnu.edu.cn
TC 63
Z9 69
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1545-598X
EI 1558-0571
PD JUL
PY 2013
VL 10
IS 4
BP 707
EP 710
DI 10.1109/LGRS.2012.2219576
SC Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science
   & Photographic Technology
UT WOS:000312101300013
ER

PT J
AU Zhan, XY
   Hu, XD
   Jing, ZX
   Xu, WN
   Xia, D
   Ding, GJ
AF Zhan, Xiaoyu
   Hu, Xudong
   Jing, Zexin
   Xu, Wennian
   Xia, Dong
   Ding, Gujie
TI Variation in Debris-Flow-Prone Areas with Ecosystem Stability: A Case
   Study of the Qipan Catchment in the Wenchuan Earthquake Region
SO SUSTAINABILITY
DT Article
DE vegetation; sediment connectivity; ecosystem stability; Qipan catchment
ID SEDIMENT CONNECTIVITY; JIUZHAIGOU EARTHQUAKE; VEGETATION RECOVERY;
   LANDSLIDES; RIVER; COMPLEXITY; DIVERSITY; VALLEY; SOIL
AB The spatial distribution of vegetation in a basin has a far-reaching influence on the potential for sediment separation and transport capacity. However, many landslides induced by strong earthquakes have greatly changed the existing pattern, which further increases the probability of debris flow in a basin during heavy rainfall and has a significant impact on the stability of the basin. Thus, this study selected the debris flow basin in the Qipan catchment of the Wenchuan earthquake area as the research object. Multisource and high-precision remote sensing images were used to analyze the land use changes in the basin, and the index of connectivity (IC) was introduced to analyze the evolution of sediment transport capacity. An ecosystem stability assessment method suitable for post-earthquake debris flow basins was proposed. Through quantitative assessment of the ecosystem stability of the basin after the Wenchuan earthquake in 2008 and the two debris flow events after the earthquake, the dynamic relationship between the debris-flow-prone area and the ecosystem stability of the basin was revealed. The results showed that the stability of the ecosystem in the Qipan catchment increased annually, indicating a stable and substable state. The spatial distribution characteristics were lower in the north and south and greater in the middle. By comparing the evaluation results with the actual terrain change trend, the accuracy and feasibility of the evaluation method are verified. The results of this study provide a scientific basis for the formulation of regional disaster prevention strategies and help to accelerate the improvement of regional stability in debris-flow-prone areas.
C1 [Zhan, Xiaoyu; Hu, Xudong; Xu, Wennian; Xia, Dong; Ding, Gujie] China Three Gorges Univ, Hubei Prov Engn Res Ctr Slope Habitat Construct Te, Yichang 443002, Peoples R China.
   [Zhan, Xiaoyu; Xu, Wennian] China Three Gorges Univ, Coll Biol & Pharmaceut Sci, Yichang 443002, Peoples R China.
   [Hu, Xudong; Jing, Zexin; Xu, Wennian; Ding, Gujie] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
C3 China Three Gorges University; China Three Gorges University; China
   Three Gorges University
RP Hu, XD (corresponding author), China Three Gorges Univ, Hubei Prov Engn Res Ctr Slope Habitat Construct Te, Yichang 443002, Peoples R China.; Hu, XD (corresponding author), China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
EM 202107130021026@ctgu.edu.cn; hxd@ctgu.edu.cn;
   202108590021159@ctgu.edu.cn; xwn@ctgu.edu.cn; xiadong2015@ctgu.edu.cn;
   202208590021122@ctgu.edu.cn
TC 2
Z9 3
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD MAY
PY 2024
VL 16
IS 9
AR 3855
DI 10.3390/su16093855
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:001219929500001
ER

PT J
AU Liu, JG
   Mason, PJ
   Bryant, EC
AF Liu, Jianguo
   Mason, Philippa J.
   Bryant, Eleanor C.
TI Regional assessment of geohazard recovery eight years after the Mw7.9
   Wenchuan earthquake: a remote-sensing investigation of the Beichuan
   region
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID LANDSLIDE HAZARD ASSESSMENT; ASTER IMAGERY; AREA; SUSCEPTIBILITY;
   PATTERNS; CHINA
AB The earthquake of 12 May 2008 in Wenchuan County, Sichuan Province, China, devastated the entire Beichuan region. Sitting at the intersection of the Yingxiu-Beichuan and Pengguan faults, the region experienced seismic intensities of VIII-XI on the Liedu scale. High seismic intensity combined with inherent geomorphological and climatic susceptibility to slope failure resulted in widespread co-seismic geohazards (slope failures of various types), which decimated the region. The seismic characteristics of the Wenchuan earthquake and the co-seismic geohazard distribution in relation to various conditioning factors have previously been examined in depth. However, there has been a lack of regional assessment of temporal and spatial recovery from co-seismic geohazards. Triggered by the authors' field observation of rapid recovery, this study presents a temporal series of geohazard maps, produced by manual interpretation of satellite imagery, to present an initial assessment of changes in geohazard occurrence in the Beichuan region since the Wenchuan earthquake. In particular, landscape recovery at the co-seismic geohazard sites, as indicated by re-vegetation, is analysed based on temporal/spatial characteristics of geohazard distribution, in relation to co-seismic deformation, distance from the rupture zone and slope angle. Eight years after the Wenchuan earthquake, the overall recovery stands at 65.48%, with approximately uniform annual rates of recovery at 13.45% a year between 2009 and 2011 and 10.56% a year between 2012 and 2016. Whilst co-seismic geohazards are concentrated on the hanging wall of the seismic fault, landscape recovery is more significant in the very highly deformed zone than in other areas. Recovery has been the greatest on slopes of <50 degrees and peaks on 40 degrees-50 degrees slopes, where the area occupied by co-seismic geohazards was the largest. The block-slides and rock topples, which characterize high angle slopes, show much slower recovery, possibly due to greater instability and the lack of soil to support re-vegetation.
C1 [Liu, Jianguo; Mason, Philippa J.; Bryant, Eleanor C.] Imperial Coll London, Dept Earth Sci & Engn, London SW7 2AZ, England.
C3 Imperial College London
RP Liu, JG (corresponding author), Imperial Coll London, Dept Earth Sci & Engn, London SW7 2AZ, England.
EM j.g.liu@imperial.ac.uk
TC 19
Z9 19
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2018
VL 39
IS 6
BP 1671
EP 1695
DI 10.1080/01431161.2017.1410299
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000423204500004
ER

PT J
AU Zhang, YQ
   Dong, SW
   Hou, CT
   Shi, JS
   Wu, ZH
   Li, HL
   Sun, P
   Liu, G
   Li, J
AF Zhang Yueqiao
   Dong Shuwen
   Hou Chuntang
   Shi Jusong
   Wu Zhonghai
   Li Hailong
   Sun Ping
   Liu Gang
   Li Jian
TI Seismogenic Structure of the April 20, 2013, Lushan Ms7 Earthquake in
   Sichuan
SO ACTA GEOLOGICA SINICA-ENGLISH EDITION
DT Article
DE Lushan; Shuangshi-Dachuan fault; Longmenshan fault zone; ground fissure;
   thrust ramp; Sichuan
ID 8.0 WENCHUAN EARTHQUAKE; LONGMEN SHAN; TECTONIC IMPLICATIONS; SURFACE
   RUPTURE; FAULT ZONE; CHINA; GROWTH; MODELS; UPLIFT; TIBET
AB At 08:02 on April 20, 2013, a Ms7.0 earthquake occurred in Lushan, Ya'an, in the Longmenshan fault zone, Sichuan. The epicenter was located between Taiping Town and Shuangshi Town, Lushan County and the maximum earthquake intensity at the epicenter reached class IX. Field investigations in the epicenter area found that, although buildings were seriously damaged, no obvious surface rupture structure was produced, only some ground fissures and sand blows and water ejection phenomena being seen. An integrated analysis of high-resolution remote sensing image interpretation, mainshock and aftershock distribution, and focal mechanism solutions indicated that this earthquake was an independent rupturing event in the southwestern segment of the Longmenshan fault zone, belonging to the thrust-type earthquake. Ruptures occurred along the south-central segment of the Shuangshi-Dachuan fault and the principal rupture plane dipped SW at 33-43 degrees. It is inferred that the Lushan earthquake might be related to the ramp activity of the basal detachment zone (13-19 km) of the Longmenshan fault zone. Historically, there occurred at least two Ms6-6.5 earthquakes along the Shuangshi-Dachuan fault zone; thus it is thought that the Lushan earthquake, different from the Wenchuan earthquake, was a characteristic one in the southwestern segment of the Longmenshan fault zone. In-situ stress measurements indicated the Lushan earthquake was the result of stress release of the southwestern segment of the Longmenshan fault zone after the Wenchuan earthquake. This paper analyzes the tectonic setting of the seismogenic structure of this earthquake.
C1 [Zhang Yueqiao; Hou Chuntang; Shi Jusong; Wu Zhonghai; Li Hailong; Sun Ping; Li Jian] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Dong Shuwen; Liu Gang] Chinese Acad Geol Sci, Beijing 100037, Peoples R China.
C3 China Geological Survey; Chinese Academy of Geological Sciences;
   Institute of Geomechanics, Chinese Academy of Geological Sciences; China
   Geological Survey; Chinese Academy of Geological Sciences
RP Zhang, YQ (corresponding author), Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
EM yueqiao-zhang@sohu.com
TC 32
Z9 35
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1000-9515
EI 1755-6724
PD JUN
PY 2013
VL 87
IS 3
BP 633
EP 645
DI 10.1111/1755-6724.12075
SC Geology
UT WOS:000321845300001
ER

PT J
AU Hu, XD
   Zhou, LQ
   Liu, WM
   Wang, H
   Cui, L
AF Hu Xu-dong
   Zhou Li-qin
   Liu Wei-ming
   Wang Hao
   Cui Lei
TI Geomorphic effect of debris-flow sediments on the Min River, Wenchuan
   Earthquake region, western China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Debris-flow sediment; Longitudinal profile; River curvature; Min River;
   Wenchuan earthquake
ID ROCK-UPLIFT RATES; LANDSLIDES; LANDSCAPES; MOUNTAIN; DYNAMICS; EROSION;
   IMPACT; AREA
AB Coseismic landslides and subsequent mobilization of sediment greatly aggravated the landscape evolution and river sedimentation after the Wenchuan earthquake. The debris-flow alluvial fan and river morphological index was combined to describe quantitatively the effects of debris-flow sediment on the river characteristics in Longmen Mountains. The section of the Min River from the urban area of the Wenchuan county to the epicenter, the Yingxiu town in this county, was selected as the study area. We identified 27 river-blocking debris-flows (5 partial-, 7 semi-, 7 over semi-, and 5 fully-blocking degrees) in the study area via remote sensing interpretation and field survey. Based on this, the response of river longitudinal profile and curvature to debris-flow sediment was qualitatively and quantitatively analyzed. The results show that the channel gradient has decreased due to debris-flow aggradation, while two marked peaks in the river steepness index (k(sn), represents the relative steepness degree of the channel) changed from 585 m(0.9) to 732 m(0.9) in zone 1, from 362 m(0.9) to 513 m(0.9) in zone 2. Moreover, the main channel has undergone substantial lateral migration with channel width decreased and river curvature increased. The temporal and spatial variation between river morphological characteristics and debris-flow sediments in short-term provides insights into the internal dynamic role of mass wasting processes in river morphology, which could be served as useful information for natural hazards management to prevent the river from being blocked by episodically debris flows after the earthquake.
C1 [Hu Xu-dong] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
   [Zhou Li-qin; Liu Wei-ming; Wang Hao] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Zhou Li-qin; Liu Wei-ming; Wang Hao] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Zhou Li-qin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Cui Lei] China Renewable Energy Engn Inst, Beijing 100049, Peoples R China.
C3 China Three Gorges University; Chinese Academy of Sciences; Chinese
   Academy of Sciences; Institute of Mountain Hazards & Environment, CAS;
   Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS
RP Hu, XD (corresponding author), China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
EM hxd@ctgu.edu.cn; zhoulq@imde.ac.cn; liuwm@imde.ac.cn;
   wanghao@itpcas.ac.cn; 42353565@qq.com
TC 9
Z9 11
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD SEP
PY 2021
VL 18
IS 9
BP 2427
EP 2440
DI 10.1007/s11629-021-6816-1
SC Environmental Sciences & Ecology
UT WOS:000698385600015
ER

PT J
AU Gong, JH
   Yue, YJ
   Zhu, J
   Wen, YM
   Li, Y
   Zhou, JP
   Wang, DC
   Yu, CH
AF Gong, Jianhua
   Yue, Yujuan
   Zhu, Jun
   Wen, Yuming
   Li, Yi
   Zhou, Jieping
   Wang, Dongchuan
   Yu, Caihong
TI Impacts of the Wenchuan Earthquake on the Chaping River upstream channel
   change
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID LANDSLIDE DAMS; CLASSIFICATION
AB The Wenchuan Earthquake, measuring magnitude 8.0 on the Richter scale, occurred on 12 May 2008 in Sichuan, southwest China and caused over 87 000 casualties. Geological disasters such as debris flows and landslides caused by the Wenchuan Earthquake were severe. Several high-risk dammed lakes formed in the Chaping River basin of An'xian County, Sichuan, China, which is located in the earthquake zone, caused great changes in river morphology and brought great danger to the people and properties in the river downstream. Channel change information from different periods was important to risk relief of dammed lakes and assessment of losses. A Satellite Pour l'Observation de la Terre 5 (SPOT 5) fused image of 10 November 2006 with 2.50 m spatial resolution, and unmanned aerial vehicle (UAV) images of 19 May 2008 and 23 December 2008 with 0.32 and 0.33 m spatial resolution, respectively, were applied to derive channel information in the Chaping River upstream from three periods (pre-disaster, during the disaster and post-disaster) using an object-oriented classification method with an edge-based segmentation algorithm and a support vector machine (SVM) classifier. Geological landslides and dammed lakes from different periods were analysed. Based on the channel information from different periods, channel changes were determined, and impacts of the earthquake on channel area, channel width, river morphology, and so on were discussed.
C1 [Gong, Jianhua; Yue, Yujuan; Li, Yi; Zhou, Jieping; Yu, Caihong] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Zhu, Jun] SW Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China.
   [Wang, Dongchuan] Tianjin Inst Urban Construct, Tianjin 300384, Peoples R China.
   [Wen, Yuming] Univ Guam, Water & Environm Res Inst, Mangilao, GU 96923 USA.
C3 Chinese Academy of Sciences; Southwest Jiaotong University; Tianjin
   Chengjian University; University of Guam
RP Yue, YJ (corresponding author), Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
EM yujuanlamei@126.com
TC 16
Z9 18
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2012
VL 33
IS 12
BP 3907
EP 3929
DI 10.1080/01431161.2011.636767
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000302164100014
ER

PT J
AU Wu, S
   Chen, J
   Xu, C
   Zhou, W
   Yao, LH
   Yue, W
   Cui, ZJ
AF Wu, Saier
   Chen, Jian
   Xu, Chong
   Zhou, Wendy
   Yao, Leihua
   Yue, Wen
   Cui, Zhijiu
TI Susceptibility Assessments and Validations of Debris-Flow Events in
   Meizoseismal Areas: Case Study in China's Longxi River Watershed
SO NATURAL HAZARDS REVIEW
DT Article
DE Debris flow; Meizoseismal areas; Index of entropy models; Logistical
   regression models; Susceptibility assessments; Loose source material
ID 2008 WENCHUAN EARTHQUAKE; 13 AUGUST 2010; LONGCHI AREA; LANDSLIDE;
   RAINFALL; MODELS; GIS; SICHUAN
AB The 2008 Wenchuan earthquake triggered tens of thousands of landslides, resulting in rich loose materials for the 8.13 debris flows. Longchi Town in southwest China's Sichuan Province was one of the worst hit areas both by the Wenchuan earthquake and 8.13 debris flows. The loose source materials generated by coseismic landslides in the Longxi River watershed of the upper Min River are widely distributed and cover an area of 7.97 km2. The volume has reached as high as 13,364.99x104 m3. After catastrophic debris flows occurred in Longchi Town on August 13, 2010, there were still large amounts of loose debris remaining. This presented major potential risks for additional debris-flow formations in the meizoseismal region. In this paper, an index of entropy models and logistical regression models was implemented for the purpose of identifying the areas that were potentially susceptible to debris-flow formations based on the same catchment units. In order to reflect the impacts of the Wenchuan earthquake on the subsequent debris-flow events, the volumes of the source debris accumulations were calculated in each catchment unit. These were then incorporated into the models as controlling factors. The performances of the models were evaluated using the receiver operating characteristic curve (ROC) technique. Then, the quality ratings of the susceptibility maps were compared and verified using the results of the field investigations. The spatial mismatches of the index of entropy (IE) and logistic regression (LR) models with the observed best predictive abilities were 16.7% and 8.3%, respectively, were revealed in the susceptibility maps. The LR model showed better performance results in the division of the susceptibility zones, and also in the reliability and robustness of the assessment results. The two models had both incorporated a spectrum of the leading factors for the debris-flow occurrences, including the lithology; distances from the coseismic surface fault-ruptures; densities of the loose source material; monthly average precipitation rates; and slope gradient rates, which are necessary for debris-flow formations in strong seismic zones. The debris-flow prone areas were found to be mainly distributed within 4 km of the Beichuan-Yingxiu fault. Furthermore, the verification results showed that more than 90% of the actual debris flows were distributed in the very high and high susceptibility zones. Sufficient attention should be paid to debris-flow prevention and early warning procedures in very high and high susceptibility zones. The results of this study provided practical implications for developing debris-flow disaster management and hazard mitigation strategies in similar earthquake-prone environments.
C1 [Wu, Saier; Chen, Jian; Yao, Leihua; Yue, Wen] China Univ Geosci, Sch Engn & Technol, Beijing 100083, Peoples R China.
   [Xu, Chong] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Zhou, Wendy] Colorado Sch Mines, Dept Geol & Geol Engn, Golden, CO 80401 USA.
   [Cui, Zhijiu] Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China.
C3 China University of Geosciences; China Earthquake Administration;
   Institute of Geology, CEA; Colorado School of Mines; Peking University
RP Chen, J (corresponding author), China Univ Geosci, Sch Engn & Technol, Beijing 100083, Peoples R China.
EM cielo_wu@cugb.edu.cn; jianchen@cugb.edu.cn; xuchong@ies.ac.en;
   wzhou@mines.edu; yaolh@cugb.edu.cn; yw@cugb.edu.cn; czj@urban.pku.edu.cn
TC 23
Z9 25
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
PD FEB 1
PY 2020
VL 21
IS 1
AR 05019005
DI 10.1061/(ASCE)NH.1527-6996.0000347
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
UT WOS:000502997800012
ER

PT J
AU Wang, JM
   Liang, YY
   Wu, Z
   Pu, J
   Li, YH
   Ma, PF
   Wang, FJ
   Yin, HT
AF Wang, Jie-Min
   Liang, Yuan-Yuan
   Wu, Zhe
   Pu, Ju
   Li, Yonghong
   Ma, Pifeng
   Wang, Fengji
   Yin, Haitao
TI Quasi-Real-Time Inversion of Large Earthquake Rupture Process Based on
   Earthquake Early Warning System in China: Applications to 2017 MW 6.5
   Jiuzhaigou and 2022 MW 6.7 Menyuan Earthquakes
SO JOURNAL OF EARTHQUAKE AND TSUNAMI
DT Article
DE Earthquake; earthquake early warning; rupture process; quasi-real time;
   inversion
ID WENCHUAN EARTHQUAKE; SURFACE RUPTURES; P-WAVE; CONSTRAINTS; CRUSTAL;
   TESTS; GPS
AB The study of seismic ruptures is crucial for understanding major earthquake events. Historically, research on large earthquake rupture processes has required a long time to be published. However, recent advancements in earthquake early warning (EEW) systems have allowed for more rapid analyses of earthquake rupture inversions. The widespread and dense distribution of EEW stations provides in China an opportunity to study and invert rupture processes in near-real time. Two notable earthquakes were studied using this technology: the 2017 Jiuzhaigou MW 6.5 earthquake in Sichuan Province, China, and the 2022 Menyuan MW 6.7 earthquake in Qinghai Province, China. In both instances, numerous strong-motion sensors captured the seismic events and transmitted waveform data to data analysis centers in real time. Following automated site selection and preparation procedures, the rupture processes of these earthquakes were analyzed and released within 30min of the event origin. This rapid response time demonstrates that the seismic rupture process determined through inversion using existing EEW systems can serve as a guide for emergency rescue work after earthquakes.
C1 [Wang, Jie-Min; Li, Yonghong; Ma, Pifeng; Wang, Fengji; Yin, Haitao] Shandong Earthquake Agcy, Gangxi Rd 2066, Jinan 250109, Peoples R China.
   [Liang, Yuan-Yuan] Shandong Urban Construct Vocat Coll, Lvyou Rd 4657, Jinan 250103, Peoples R China.
   [Wu, Zhe] Qinghai Earthquake Agcy, Chaidamu Rd 153, Xining 810005, Peoples R China.
   [Pu, Ju] Gansu Earthquake Agcy, Lanzhou, Peoples R China.
C3 China Earthquake Administration; Shandong Earthquake Agency, CEA; China
   Earthquake Administration; Qinghai Earthquake Agency, CEA; China
   Earthquake Administration; Gansu Earthquake Agency, CEA
RP Yin, HT (corresponding author), Shandong Earthquake Agcy, Gangxi Rd 2066, Jinan 250109, Peoples R China.
EM wjmlyy@mail.ustc.edu.cn; 2014js0381@sduc.edu.cn; wuzhe2022@mail.tom.com;
   puju2022@mail.tom.com; 17390302@qq.com; 384927881@qq.com;
   wangfengji2022@mail.tom.com; jmcoauthor@126.com
TC 2
Z9 2
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 1793-4311
EI 1793-7116
PD APR
PY 2024
VL 18
IS 02
DI 10.1142/S1793431123500380
EA FEB 2024
SC Geochemistry & Geophysics; Engineering
UT WOS:001161756300001
ER

PT J
AU Youssef, AM
   Al-Kathery, M
   Pradhan, B
AF Youssef, Ahmed M.
   Al-Kathery, Mohamed
   Pradhan, Biswajeet
TI Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia)
   using GIS-based frequency ratio and index of entropy models
SO GEOSCIENCES JOURNAL
DT Article
DE landslide; frequency ratio; index of entropy; remote sensing; GIS;
   Jizan; Saudi Arabia
ID REMOTE-SENSING DATA; 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE;
   LOGISTIC-REGRESSION; HAZARD ASSESSMENT; STATISTICAL-ANALYSIS;
   DEMPSTER-SHAFER; FUZZY-LOGIC; ZONATION; SLOPE
AB Mountain areas in the southern western corner of the Kingdom of Saudi Arabia frequently suffer from various types of landslides due to rain storms and anthropogenic activities. To resolve the problem related to landslides, landslide susceptibility map is important as a quick and safe mitigation measure and to help making strategic planning by identifying the most vulnerable areas. This paper summarizes findings of landslide susceptibility analysis at Al-Hasher area, Jizan, KSA, using two statistical models: frequency ratio and index of entropy models with the aid of GIS tools and remote sensing data. The landslide locations (inventory map) were identified in the study area using historical records, interpretation of high-resolution satellite images that include Geo-Eye in 2.5 m and Quickbird in 0.6m resolution, topographic maps of 1:10,000 scale, and multiple field investigations. A total of 207 landslides (80% out of 257 detected landslides) were randomly selected for model training, and the remaining 50 landslides (19%) were used for the model validation. Ten landslide conditioning factors including slope angle, slope-aspect, altitude, curvature, lithology, distance to lineaments, normalized difference vegetation index (NDVI), distance to roads, precipitation, and distance to streams, were extracted from spatial database. Using these conditioning factors and landslide locations, landslide susceptibility and weights of each factor were analyzed by using frequency ratio and index of entropy models. Our findings showed that the existing landslides of high and very high susceptibility classes cover nearly 80.4% and 79.1% of the susceptibility maps produced by frequency ratio and index of entropy models respectively. For verification, receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUC) were calculated for success and prediction rates. For success rate the results revealed that for the index of entropy model (AUC = 77.9%) is slightly lower than frequency ratio model (AUC = 78.8%). For the prediction rate, it was found that the index of entropy model (AUC = 74.9%) is slightly lower than the frequency ratio model (AUC = 76.7%). The landslide susceptibility maps produced from this study could help decision makers, planners, engineers, and urban areas developers to make suitable decisions.
C1 [Youssef, Ahmed M.] Sohag Univ, Dept Geol, Fac Sci, Sohag 11432, Egypt.
   [Youssef, Ahmed M.; Al-Kathery, Mohamed] Saudi Geol Survey, Appl Geol Sect, Geol Hazards Dept, Jeddah 21514, Saudi Arabia.
   [Pradhan, Biswajeet] Univ Putra Malaysia, Fac Engn, GISRC, Dept Civil Engn, Serdang 43400, Darul Ehsan, Malaysia.
C3 Egyptian Knowledge Bank (EKB); Sohag University; Saudi Geological
   Survey; Universiti Putra Malaysia
RP Pradhan, B (corresponding author), Univ Putra Malaysia, Fac Engn, GISRC, Dept Civil Engn, Serdang 43400, Darul Ehsan, Malaysia.
EM biswajeet24@gmail.com
TC 193
Z9 211
PU GEOLOGICAL SOCIETY KOREA
PI SEOUL
PA NEW BLD RM 813, 22, TEHERAN-RO 7-GIL, SEOUL, 06130, SOUTH KOREA
SN 1226-4806
EI 1598-7477
PD MAR
PY 2015
VL 19
IS 1
BP 113
EP 134
DI 10.1007/s12303-014-0032-8
SC Geology
UT WOS:000350295700010
ER

PT J
AU Wang, ZJ
   Zhao, BM
AF Wang, Zijun
   Zhao, Boming
TI A new M w estimation parameter for use in
   earthquake early warning systems
SO JOURNAL OF SEISMOLOGY
DT Article
DE Earthquake early warning; Moment magnitude estimation; Large earthquake;
   Initial P wave
ID M-S; MAGNITUDE; CALIFORNIA; RADIATION; DAMAGE; M(B)
AB We propose a method that employs the squared displacement integral (ID2) to estimate earthquake magnitudes in real time for use in earthquake early warning (EEW) systems. Moreover, using tau (c) and P (d) for comparison, we establish formulas for estimating the moment magnitudes of these three parameters based on the selected aftershocks (4.0 ae<currency> M (s) ae<currency> 6.5) of the 2008 Wenchuan earthquake. In this comparison, the proposed ID2 method displays the highest accuracy. Furthermore, we investigate the applicability of the initial parameters to large earthquakes by estimating the magnitude of the Wenchuan M (s) 8.0 mainshock using a 3-s time window. Although these three parameters all display problems with saturation, the proposed ID2 parameter is relatively accurate. The evolutionary estimation of ID2 as a function of the time window shows that the estimation equation established with ID2 (Ref) determined from the first 8-s of P wave data can be directly applicable to predicate the magnitudes of 8.0. Therefore, the proposed ID2 parameter provides a robust estimator of earthquake moment magnitudes and can be used for EEW purposes.
C1 [Wang, Zijun; Zhao, Boming] Beijing Jiaotong Univ, Sch Civil Engn, 3 Shangyuancun, Beijing 100044, Peoples R China.
C3 Beijing Jiaotong University
RP Zhao, BM (corresponding author), Beijing Jiaotong Univ, Sch Civil Engn, 3 Shangyuancun, Beijing 100044, Peoples R China.
EM zjwang8911@hotmail.com; bmzhao@bjtu.edu.cn
TC 2
Z9 2
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1383-4649
EI 1573-157X
PD JAN
PY 2018
VL 22
IS 1
BP 325
EP 335
DI 10.1007/s10950-017-9708-7
SC Geochemistry & Geophysics
UT WOS:000423381000019
ER

PT J
AU Wang, Y
   Song, CZ
   Lin, QG
   Li, J
AF Wang, Ying
   Song, Chongzhen
   Lin, Qigen
   Li, Juan
TI Occurrence probability assessment of earthquake-triggered landslides
   with Newmark displacement values and logistic regression: The Wenchuan
   earthquake, China
SO GEOMORPHOLOGY
DT Article
DE Newmark displacement; Logistic regression; Wenchuan earthquake; China
ID ARTIFICIAL NEURAL-NETWORKS; SPATIAL-DISTRIBUTION; SUSCEPTIBILITY; GIS;
   HAZARD; VALIDATION; CALIFORNIA; MODELS
AB The Newmark displacement model has been used to predict earthquake-triggered landslides. Logistic regression (LR) is also a common landslide hazard assessment method. We combined the Newmark displacement model and LR and applied them to Wenchuan County and Beichuan County in China, which were affected by the M-s. 8.0 Wenchuan earthquake on May 12th, 2008, to develop a mechanism-based landslide occurrence probability model and improve the predictive accuracy. A total of 1904 landslide sites in Wenchuan County and 3800 random non-landslide sites were selected as the training dataset. We applied the Newmark model and obtained the distribution of permanent displacement (D-n) for a 30 x 30 m grid. Four factors (D-n, topographic relief, and distances to drainages and roads) were used as independent variables for LR. Then, a combined model was obtained, with an AUC (area under the curve) value of 0.797 for Wenchuan County. A total of 617 landslide sites and non-landslide sites in Beichuan County were used as a validation dataset with AUC = 0.753. The proposed method may also be applied to earthquake-induced landslides in other regions. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Wang, Ying; Song, Chongzhen; Lin, Qigen; Li, Juan] Beijing Normal Univ, Minist Educ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China.
   [Wang, Ying; Song, Chongzhen; Lin, Qigen] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Wang, Y (corresponding author), Beijing Normal Univ, Minist Educ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China.
TC 63
Z9 73
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD APR 1
PY 2016
VL 258
BP 108
EP 119
DI 10.1016/j.geomorph.2016.01.004
SC Physical Geography; Geology
UT WOS:000372386500010
ER

PT J
AU Li, HJ
   Zhu, HH
   Li, YH
   Hu, W
   Shi, B
AF Li, Hao-Jie
   Zhu, Hong-Hu
   Li, Yuan-Hai
   Hu, Wei
   Shi, Bin
TI Fiber Bragg Grating-Based Flume Test to Study the Initiation of
   Landslide-Debris Flows Induced by Concentrated Runoff
SO GEOTECHNICAL TESTING JOURNAL
DT Article
DE landslide; debris flows; fiber Bragg grating; flume test; concentrated
   runoff; volumetric water content; pore water pressure; strain
   measurement
ID WENCHUAN EARTHQUAKE; RAINFALL; DEFORMATION; PRESSURE; SLOPES; SENSOR
AB In order to explore the initiation of landslide-debris flow caused by concentrated runoff, a flume test has been performed on soil samples taken from a debris flow site in Wenchuan earthquake area. The fiber Bragg grating (FBG) technology was used to measure the strain distribution information in the slope mass during erosion. Several hydrological sensors for monitoring pore water pressure and soil moisture were used to investigate their correlation with internal strain field. The test results show that the fiber optic sensing technique exhibited high sensitivity and precision in monitoring the slope deformation. The development of pore water pressures and soil moistures showed reasonable consistency with the dynamics of an infiltration. According to the strain measurements, there were four evolution stages during the initiation of landslide-debris induced by runoff, i.e., the water absorption stage, the deformation stage, the shear zone formation stage, and the fluidization stage. The results provide an improved insight into the mechanism of debris flow initiation and indicate the enormous potential of the FBG sensing technology in establishing an effective early warning system for landslides and debris flows.
C1 [Li, Hao-Jie; Zhu, Hong-Hu; Shi, Bin] Nanjing Univ, Sch Earth Sci & Engn, Zhugongshan Bldg,163 Xianlin Ave, Nanjing 210023, Peoples R China.
   [Zhu, Hong-Hu; Li, Yuan-Hai] China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, 1 Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China.
   [Hu, Wei] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, 1 Erxianqiao East 3 Rd, Chengdu 610059, Peoples R China.
C3 Nanjing University; China University of Mining & Technology; Chengdu
   University of Technology
RP Zhu, HH (corresponding author), Nanjing Univ, Sch Earth Sci & Engn, Zhugongshan Bldg,163 Xianlin Ave, Nanjing 210023, Peoples R China.; Zhu, HH (corresponding author), China Univ Min & Technol, State Key Lab Geomech & Deep Underground Engn, 1 Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China.; Hu, W (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, 1 Erxianqiao East 3 Rd, Chengdu 610059, Peoples R China.
EM zhh@nju.edu.cn; huwei1999@gmail.com
TC 8
Z9 14
PU AMER SOC TESTING MATERIALS
PI W CONSHOHOCKEN
PA 100 BARR HARBOR DR, W CONSHOHOCKEN, PA 19428-2959 USA
SN 0149-6115
EI 1945-7545
PD JUL
PY 2021
VL 44
IS 4
BP 986
EP 999
DI 10.1520/GTJ20190290
SC Engineering; Geology
UT WOS:000664300000009
ER

PT J
AU Chen, NS
   Yang, CL
   Zhou, W
   Hu, GS
   Li, H
   Han, D
AF Chen Ningsheng
   Yang Chenglin
   Zhou Wei
   Hu Guisheng
   Li Huan
   Han, David
TI The critical rainfall characteristics for torrents and debris flows in
   the Wenchuan earthquake stricken area
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Debris flow; Mountain torrent; Earthquake-stricken area; Critical
   rainfall
AB Critical rainfall assessment is a very important tool for hazard management of torrents and debris flows in mountainous areas. The Wenchuan Earthquake 2008 caused huge casualties and property damages in the earthquake-stricken area, which also generated large quantities of loose solid materials and increased occurrence probabilities of debris flows. There is an urgent need to quantify the critical rainfall distribution in the area so that better hazard management could be planned and if real time rainfall forecast is available, torrent and debris flow early-warning could be issued in advance. This study is based on 49-year observations (1954-2003) of up to 678 torrent and debris flow events. Detailed contour maps of 1 hour and 24 hour critical rainfalls have been generated (Due to the data limitation, there was insufficient 10 minute critical rainfall to make its contour map). Generally, the contour maps from 1 hour and 24 hours have similar patterns. Three zones with low, medium and high critical rainfalls have been identified. The characteristics of the critical rainfall zones are linked with the local vegetation cover and land forms. Further studies and observations are needed to validate the finding and improve the contour maps.
C1 [Chen Ningsheng; Yang Chenglin; Zhou Wei; Hu Guisheng] Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
   [Chen Ningsheng; Yang Chenglin; Zhou Wei; Hu Guisheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Li Huan] Coll Water Resource & Hydropower SCU, Chengdu 610065, Peoples R China.
   [Han, David] Univ Bristol, Dept Civil Engn, Bristol BS8 1TH, Avon, England.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; University of Bristol
RP Chen, NS (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
EM chennsh@imde.ac.cn
TC 47
Z9 67
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD DEC
PY 2009
VL 6
IS 4
BP 362
EP 372
DI 10.1007/s11629-009-1064-9
SC Environmental Sciences & Ecology
UT WOS:000271272100006
ER

PT J
AU Xiong, J
   Chen, HY
   Tang, C
   Tang, CX
   Chen, JG
   Yang, T
   Gong, LF
   Chen, M
   Shi, QY
   Li, N
AF Xiong, Jiang
   Chen, Huayong
   Tang, Chuan
   Tang, Chenxiao
   Chen, Jiangang
   Yang, Tao
   Gong, Lingfeng
   Chen, Ming
   Shi, Qingyun
   Li, Ning
TI A robust index was extracted to assess the prolonged changes in debris
   flow activity after a high magnitude earthquake
SO CATENA
DT Article
DE DFAI; Debris flow; Landslide; Remote sensing; GIS
ID CHI-CHI EARTHQUAKE; 2008 WENCHUAN EARTHQUAKE; 13 AUGUST 2010; SEDIMENT
   YIELD; IMPACT; LANDSLIDES; REGION; RIVER; AREA; CONNECTIVITY
AB In regions with strong earthquake disturbances, sufficient landslide sediments would activate debris flows for decades. As of 2024, although the Wenchuan earthquake has occurred 16 years ago, the nonuniform prolonged variation of post-quake debris flows is not fully understood owing to a lack of sufficient long-term monitoring data. In this study, a new debris flow activity index (DFAI) considering the effects of the landslide sediment supply, rainfall and topography, was proposed. The results of the DFAI reveal that post-quake debris flow activity continues to decline in a power pattern form and approximately decline toward the preseismic level for 50 years. The debris flow activity level was categorized into low, slight, medium, high and extreme levels on the basis of the DFAI and field investigations. The results of the debris flow activity assessment revealed that many debris flows experienced relatively high activity between 2008 and 2013, and gradually evolved from extreme to high levels at a rate of 0.06 yr- 1. In contrast, debris flow activity rapidly declined after 2013, and changed from extreme and high levels to low, slight, and medium levels at rates of -0.06 yr- 1 and -0.02 yr- 1, respectively. Presently, approximately 59.32 % of the catchment has low and slight debris flow activity, but only 10 % of the catchment has high and extreme debris flow activity. The regions with higher debris flow activity have changed to the northern regions of the study area, and the larger catchment has relatively high debris flow activity. In addition, we validated the performance and robustness of the DFAI at sites with different geological environments and climates. In all, the DFAI can reduce the limitation of insufficient monitoring data and has good performance in reflecting nonuniform prolonged changes in debris flow activity.
C1 [Xiong, Jiang; Chen, Huayong; Tang, Chenxiao; Chen, Jiangang; Yang, Tao] Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.
   [Tang, Chuan; Chen, Ming] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Gong, Lingfeng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
   [Shi, Qingyun] Chengdu Univ Informat & Technol, Chengdu 610225, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; China Geological
   Survey; Chengdu University of Information Technology; Xihua University
RP Chen, HY (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.; Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
EM hychen@imde.ac.cn; tangc@cdut.edu.cn
TC 1
Z9 1
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD MAR
PY 2025
VL 250
AR 108733
DI 10.1016/j.catena.2025.108733
EA JAN 2025
SC Geology; Agriculture; Water Resources
UT WOS:001402991400001
ER

PT J
AU Liu, S
   Hu, KH
   Zhang, Q
   Zhang, SJ
   Hu, XD
   Tang, DS
AF Liu, Shuang
   Hu, Kaiheng
   Zhang, Qun
   Zhang, Shaojie
   Hu, Xudong
   Tang, Desheng
TI Quantitative Analysis of the Effects of an Earthquake on Rainfall
   Thresholds for Triggering Debris-Flow Events
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE debris flows; seismic effects; regional rainfall threshold; early
   warning; disaster prevention
ID 2008 WENCHUAN EARTHQUAKE; CHI-CHI EARTHQUAKE; LUSHAN EARTHQUAKE;
   JIUZHAIGOU EARTHQUAKE; LANDSLIDES; IMPACT; INTENSITY; SURFACE; SICHUAN;
   MODEL
AB The impacts of destructive earthquakes on rainfall thresholds for triggering the debris flows have not yet been well investigated, due to lacks of data. In this study, we have collected the debris-flow records from the Wenchuan, Lushan, and Jiuzhaigou earthquake-affected areas in Sichuan Province, China. By using a meteorological dataset with 3 h and 0.1 degrees resolutions, the dimensionless effective rainfall and rainfall intensity-duration relationships were calculated as the possible thresholds for triggering the debris flows. The pre- and post-seismic thresholds were compared to evaluate the impacts of the various intensities of earthquakes. Our results indicate that the post-quake thresholds are much smaller than the pre-seismic ones. The dimensionless effective rainfall shows the impacts of the Wenchuan, Lushan, and Jiuzhaigou earthquakes to be ca. 26, 27, and 16%, respectively. The Wenchuan earthquake has the most significant effect on lowering the rainfall intensity-duration curve. Rainfall threshold changes related to the moment magnitude and focal depth are discussed as well. Generally, this work may lead to an improved post-quake debris-flow warning strategy especially in sparsely instrumented regions.
C1 [Liu, Shuang; Hu, Kaiheng; Zhang, Shaojie] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Peoples R China.
   [Zhang, Qun; Tang, Desheng] Sichuan Inst Land & Space Ecol Restorat & Geol Ha, Chengdu, Peoples R China.
   [Hu, Xudong] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; China Three Gorges University
RP Hu, KH (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Peoples R China.
EM khhu@imde.ac.cn
TC 9
Z9 9
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD JUN 1
PY 2021
VL 9
AR 676470
DI 10.3389/feart.2021.676470
SC Geology
UT WOS:000661539700001
ER

PT J
AU Nath, B
   Wang, ZH
   Ge, Y
   Islam, K
   Singh, RP
   Niu, Z
AF Nath, Biswajit
   Wang, Zhihua
   Ge, Yong
   Islam, Kamrul
   Singh, Ramesh P.
   Niu, Zheng
TI Land Use and Land Cover Change Modeling and Future Potential Landscape
   Risk Assessment Using Markov-CA Model and Analytical Hierarchy Process
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE LULCC modeling; Cellular automata-Markov (CA-Markov); Future potential
   landscape risk (FPLR); Dujiangyan City and environs (DCEN); SW China
ID CHUNATI WILDLIFE SANCTUARY; WENCHUAN EARTHQUAKE; GUJARAT EARTHQUAKE;
   ECOSYSTEM SERVICES; CELLULAR-AUTOMATA; DRIVING FORCES; CHINA; PATTERNS;
   CITY; GIS
AB Land use and land cover change (LULCC) has directly played an important role in the observed climate change. In this paper, we considered Dujiangyan City and its environs (DCEN) to study the future scenario in the years 2025, 2030, and 2040 based on the 2018 simulation results from 2007 and 2018 LULC maps. This study evaluates the spatial and temporal variations of future LULCC, including the future potential landscape risk (FPLR) area of the 2008 great (8.0 Mw) earthquake of south-west China. The Cellular automata-Markov chain (CA-Markov) model and multicriteria based analytical hierarchy process (MC-AHP) approach have been considered using the integration of remote sensing and GIS techniques. The analysis shows future LULC scenario in the years 2025, 2030, and 2040 along with the FPLR pattern. Based on the results of the future LULCC and FPLR scenarios, we have provided suggestions for the development in the close proximity of the fault lines for the future strong magnitude earthquakes. Our results suggest a better and safe planning approach in the Belt and Road Corridor (BRC) of China to control future Silk-Road Disaster, which will also be useful to urban planners for urban development in a safe and sustainable manner.
C1 [Nath, Biswajit] Univ Chittagong, Fac Biol Sci, Dept Geog & Environm Studies, Chittagong 4331, Bangladesh.
   [Wang, Zhihua; Ge, Yong] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Wang, Zhihua; Ge, Yong; Niu, Zheng] Univ Chinese Acad Sci, Coll Resource & Environm Studies, Yuquan Rd 19, Beijing 100049, Peoples R China.
   [Islam, Kamrul] Univ Tokyo, Grad Sch Engn, Dept Syst Innovat, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan.
   [Singh, Ramesh P.] Chapman Univ, Schmid Coll Sci & Technol, Sch Life & Environm Sci, One Univ Dr, Orange, CA 92866 USA.
   [Niu, Zheng] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, POB 9718, Beijing 100101, Peoples R China.
C3 University of Chittagong; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; Chinese Academy
   of Sciences; University of Chinese Academy of Sciences, CAS; University
   of Tokyo; Chapman University System; Chapman University; Chinese Academy
   of Sciences; Aerospace Information Research Institute, CAS
RP Wang, ZH (corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
EM nath.gis79@gmail.com; zhwang@lreis.ac.cn; gey@lreis.ac.cn;
   ksujonifescu@gmail.com; rsingh@chapman.edu; niuzheng@radi.ac.cn
TC 103
Z9 122
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD FEB
PY 2020
VL 9
IS 2
AR 134
DI 10.3390/ijgi9020134
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000522449700074
ER

PT J
AU Du, PF
   Chen, JN
   Chen, C
   Liu, Y
   Liu, JG
   Wang, HT
   Zhang, XJ
AF Du, Pengfei
   Chen, Jining
   Chen, Chao
   Liu, Yi
   Liu, Jianguo
   Wang, Hongtao
   Zhang, Xiaojian
TI Environmental risk evaluation to minimize impacts within the area
   affected by the Wenchuan earthquake
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
DE Wenchuan earthquake; Environmental risk evaluation; Secondary disasters;
   Drinking water safety; Solid waste risk
AB Earthquakes can be devastating to built infrastructure and the natural environment, as evidenced by the March 2011, M = 9.0 earthquake, and subsequent tsunami, in Japan. As seen in the Japanese event, environmental damage caused by secondary disasters (tsunami, leakage from a nuclear reactor) can equal or exceed the impacts of the primary event. In order to develop an environmental assessment system to examine secondary disasters, a comprehensive environmental impact evaluation was conducted after the Wenchuan earthquake that occurred on 12 May 2008 in the Sichuan Province, China. This evaluation focused on several key environmental elements such as wastewater, drinking water, soil, solid waste, radiation, and ecosystemlevel effects. As part of this assessment, an analysis of root causes and potential solutions was conducted for key issues such as population relocation and resettlement in temporary dwellings, recovery of environmental protection functions, industrial development strategies and production recovery. Methods for post-quake environmental assessment were developed, utilizing GIS-based techniques for spatial evaluation of primary and secondary disaster patterns. The goal of this exercise was the development of effective assessment methods that can be rapidly applied in a post-disaster situation to reduce and mitigate damage caused by secondary disasters, and facilitate the recovery of impaired environmental management structure and function. (C) 2011 Elsevier B.V. All rights reserved.
C1 [Du, Pengfei; Chen, Jining; Chen, Chao; Liu, Yi; Liu, Jianguo; Wang, Hongtao; Zhang, Xiaojian] Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
C3 Tsinghua University
RP Du, PF (corresponding author), Tsinghua Univ, Sch Environm, Beijing 100084, Peoples R China.
EM dupf@tsinghua.edu.cn; jchen1@tsinghua.edu.cn;
   chen_water@tsinghua.edu.cn; yi.liu@tsinghua.edu.cn;
   jgliu@tsinghua.edu.cn; htwang@tsinghua.edu.cn; zhangxj@tsinghua.edu.cn
TC 18
Z9 23
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
PD MAR 1
PY 2012
VL 419
BP 16
EP 24
DI 10.1016/j.scitotenv.2011.12.017
SC Environmental Sciences & Ecology
UT WOS:000301634600003
ER

PT J
AU Wei, L
   Hu, KH
   Liu, J
AF Wei, Li
   Hu, Kaiheng
   Liu, Jin
TI Automatic identification of buildings vulnerable to debris flows in
   Sichuan Province, China, by GIS analysis and Deep Encoding Network
   methods
SO JOURNAL OF FLOOD RISK MANAGEMENT
DT Article
DE building extraction; building position; debris flow hazards; GF-2
   satellite image; vulnerability matrix
ID MAGNITUDE-FREQUENCY RELATIONSHIPS; QUANTITATIVE RISK ANALYSIS; 2008
   WENCHUAN EARTHQUAKE; URBAN AREAS; LANDSLIDES; EXTRACTION; DAMAGE;
   IMPACT; HAZARD
AB Debris flows commonly cause tremendous damage to buildings in mountainous areas. The identification of buildings susceptible to debris flows is vital for settlement risk management. The efficient identification method is a major issue limiting the targeted regional policy setting. By combining geographic information system (GIS) and Deep Encoding Network (DE-Net) methods, we proposed an automatic identification method for buildings highly susceptible to debris flows with large-scale digital elevation data and high-resolution remote sensing imagery. The judgment criteria were based on a vulnerability matrix containing different threshold values of the horizontal distance (HD) and vertical distance (VD) between buildings and channels obtained from the statistics of 362 buildings destroyed by 23 debris flows and the maximum debris flow depths of 26 events, respectively. Five steps, which are debris flow channel extraction, building extraction, building cluster segmentation, distance calculation, and building classification, were implemented in the method. A case study in Puge County, Sichuan Province, demonstrated the high identification potential of the method for buildings susceptible to debris flows in large areas with only scarce information available. The identification results provide valuable information regarding high-risk residential areas to governments and facilitate targeted measure design in these areas in the initial planning stage.
C1 [Wei, Li; Hu, Kaiheng] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu, Peoples R China.
   [Wei, Li; Hu, Kaiheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu, Peoples R China.
   [Wei, Li; Hu, Kaiheng] Minist Water Conservancy & Power, Chengdu, Peoples R China.
   [Liu, Jin] Three Gorges Jinsha River Chuanyun Hydropower Dev, Chengdu, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS
RP Hu, KH (corresponding author), Block 4,Renminnanlu Rd, Chengdu 610041, Peoples R China.
EM khhu@imde.ac.cn
TC 5
Z9 6
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1753-318X
PD DEC
PY 2022
VL 15
IS 4
AR e12830
DI 10.1111/jfr3.12830
EA JUN 2022
SC Environmental Sciences & Ecology; Water Resources
UT WOS:000810589900001
ER

PT J
AU Ding, MT
   Jin, Z
   Tian, Z
   Duan, XF
   Zhao, W
   Yang, LJ
AF Ding MingTao
   Jin Zi
   Tian Zheng
   Duan XiFa
   Zhao Wei
   Yang LiJuan
TI Object registration for remote sensing images using robust kernel
   pattern vectors
SO SCIENCE CHINA-INFORMATION SCIENCES
DT Article
DE remote sensing image; object registration; robust kernel pattern vectors
   (RKPVs); variform object; outlier data; effective
ID COMPONENT ANALYSIS; EARTHQUAKE; SPACE
AB The registration of multitemperal remote sensing images before and after a disaster is a challenging problem. The main reason is that there is a dearth of homologous features that can be used as tie points for registration of variform objects. This paper proposes a new registration method based on robust kernel pattern vector (KPV) for water objects in the remote sensing images, which have complex deformation before and after a disaster. We show how the variform objects can be precisely registered using their robust kernel pattern vectors (RKPVs). The contribution can be divided into three parts. First, a novel shape descriptor, named as kernel pattern vector (KPV), is defined. Second, a robust kernel principal component analysis (RKPCA) method is proposed, which can not only capture the common pattern of the variform objects but can also act as the Criterion for outlier detection. Finally, a registration approach is derived based on the implicit RKPVs. We demonstrate the power of the proposed approach by comparing it with other existing methods using two real cases: one for lake monitoring in the Jiayu region, and the other for damage mapping of earthquake-induced barrier lake at Tangjiashan (2008 Wenchuan Earthquake). The results show that the method is effective in capturing the common structural pattern of the variform objects before and after a disaster.
C1 [Ding MingTao; Tian Zheng; Duan XiFa; Zhao Wei; Yang LiJuan] Northwestern Polytech Univ, Dept Appl Math, Xian 710072, Peoples R China.
   [Jin Zi] Univ British Columbia, Dept Stat, Vancouver, BC V677 1Z2, Canada.
   [Tian Zheng] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China.
C3 Northwestern Polytechnical University; University of British Columbia;
   Chinese Academy of Sciences
RP Tian, Z (corresponding author), Northwestern Polytech Univ, Dept Appl Math, Xian 710072, Peoples R China.
EM zi.jin@stat.ubc.ca; zhtian@nwpu.edu.cn
TC 5
Z9 8
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1674-733X
EI 1869-1919
PD NOV
PY 2012
VL 55
IS 11
BP 2611
EP 2623
DI 10.1007/s11432-011-4478-2
SC Computer Science; Engineering
UT WOS:000310226800018
ER

PT J
AU Ehrlich, D
   Guo, HD
   Molch, K
   Ma, JW
   Pesaresi, M
AF Ehrlich, D.
   Guo, H. D.
   Molch, K.
   Ma, J. W.
   Pesaresi, M.
TI Identifying damage caused by the 2008 Wenchuan earthquake from VHR
   remote sensing data
SO INTERNATIONAL JOURNAL OF DIGITAL EARTH
DT Article
DE damage assessment; earthquake; Sichuan; settlements; VHR; SAR
ID AREAS
AB The paper discusses the potential of very high resolution (VHR) satellite imagery for post-earthquake damage assessment in comparison with the role of aerial photographs. Post-disaster optical and radar satellite data are assessed for their ability to resolve collapsed buildings, destroyed transportation infrastructure, and specific land cover changes. Optical VHR imagery has shown to be effective in quantifying building stock and for assessing damage at the building level. High-resolution synthetic aperture radar (SAR) imagery requires further research to identify optimum information extraction procedures for rapid assessment of affected buildings. Based on current technical and operational capabilities increasing efforts should be devoted to the generation of spatial datasets for disaster preparedness.
C1 [Ehrlich, D.; Molch, K.; Pesaresi, M.] Commiss European Communities, Joint Res Ctr, I-21027 Ispra, Italy.
   [Guo, H. D.; Ma, J. W.] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100190, Peoples R China.
C3 European Commission Joint Research Centre; EC JRC ISPRA Site; Chinese
   Academy of Sciences
RP Ehrlich, D (corresponding author), Commiss European Communities, Joint Res Ctr, Via E Fermi 2749, I-21027 Ispra, Italy.
EM daniele.ehrlich@jrc.it
TC 74
Z9 89
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 1753-8947
PY 2009
VL 2
IS 4
BP 309
EP 326
DI 10.1080/17538940902767401
SC Physical Geography; Remote Sensing
UT WOS:000273241800002
ER

PT J
AU Yan, ZZ
   Du, XP
   Fan, XT
AF Yan, Zhenzhen
   Du, Xiaoping
   Fan, Xiangtao
TI Parallel numerical analysis of the failure characteristics of
   earthquake-induced landslides
SO GEOSCIENCES JOURNAL
DT Article
DE earthquake-induced landslide; slope stability; numerical simulation;
   parallel computing; Wenchuan earthquake
ID 3-DIMENSIONAL SLOPE STABILITY; SPECTRAL-ELEMENT METHOD; WENCHUAN
   EARTHQUAKE; HYBRID METHOD; TAIWAN; SURFACES; REGION; MOTION; CHINA; AREA
AB Earthquake-induced landslides are serious natural hazards that shocked us with tremendous casualties and great economic losses in many mountainous areas around the world. However, predicting and preventing the earthquake-induced landslides is very difficult due to the complicated relationship between seismic dynamics and coseismic landsliding. Comprehensive understanding of earthquake-induced landslides from the perspective of seismic dynamic mechanism remains inadequate at present. This study employs an elastoplastic spectral element method incorporating parallel computing and represents a realistic three-dimensional slope model via a semi-structured hexahedral mesh to investigate the dynamic failure characteristics of earthquake-induced landslides. Dynamic behaviours of slopes are simulated using a continuumbased approach with a Mohr-Coulomb yield criterion. Displacement fields are calculated using the shear strength reduction technique. Pseudo-static seismic loading is performed to assess the slope stability quantitatively and complex topography is taken into consideration. The Xinzhong landslide that occurred in Beichuan Country is one of destructively collapsing landslides triggered by the Wenchuan earthquake and is therefore selected as a case study for discussion. Three-dimensional visualization of the calculated results quantitatively demonstrated that the three-dimensional numerical model well reproduced the coseismic landsliding response and its essential dynamic failure pattern, which could not be purely captured by Geographic Information Systems (GIS) and Remote Sensing (RS) technologies and calculated using simply two-dimensional numerical model. The numerical results also showed that tensile and shear fractures had significant influences on the nature of the failed surface development. In addition, the presence of seismic loading in the slope could cause obvious disturbances for the slope stability. Comparative analysis indicated that the shear surface of the earthquake-induced slope was shorter and the tension crack surface was deeper than that of the normal gravity condition. Moreover, the landslide mainly occurred in the transition from the upper to lower part of the slope, indicating that the slope topography was one of the crucial factors resulting in slope failure. Although the model was constructed without the presence of a pre-existing failure surface, comparative analysis addressed that the failure surface obtained by the numerical simulation was in close agreement with that by the post-failure investigations. The results could provide insight into better understanding of the relationship between landslide and seismic dynamic mechanism. The study has practical significance for the effective prevention and mitigation of earthquake-induced landslide hazards.
C1 [Yan, Zhenzhen; Du, Xiaoping; Fan, Xiangtao] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS
RP Du, XP (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM duxp@radi.ac.cn
TC 1
Z9 2
PU GEOLOGICAL SOCIETY KOREA
PI SEOUL
PA NEW BLD RM 813, KSTC, 835-4, YEOKSAM-DONG, KANGNAM-GU, SEOUL, 135-703,
   SOUTH KOREA
SN 1226-4806
EI 1598-7477
PD AUG
PY 2016
VL 20
IS 4
BP 529
EP 538
DI 10.1007/s12303-015-0056-8
SC Geology
UT WOS:000380724000009
ER

PT J
AU Fan, XM
   Zhan, WW
   Dong, XJ
   van Westen, C
   Xu, Q
   Dai, LX
   Yang, Q
   Huang, RQ
   Havenith, HB
AF Fan, Xuanmei
   Zhan, Weiwei
   Dong, Xiujun
   van Westen, Cees
   Xu, Qiang
   Dai, Lanxin
   Yang, Qin
   Huang, Runqiu
   Havenith, Hans-Balder
TI Analyzing successive landslide dam formation by different triggering
   mechanisms: The case of the Tangjiawan landslide, Sichuan, China
SO ENGINEERING GEOLOGY
DT Article
DE Landslide dams; Wenchuan earthquake; Evolution; Hazard assessment;
   Emergency response
ID WENCHUAN EARTHQUAKE; FAILURE; FLOOD; MITIGATION; DISCHARGE; BEHAVIOR;
   MORAINE; LAKES
AB The catastrophic Tangjiawan landslide, triggered by the 2008 Wenchuan earthquake, blocked the Duba River, impounding one of the most dangerous coseismic barrier lakes in Beichuan, China. The lake was drained by an artificial spillway within one month after the earthquake to minimize the potential dam-breach flooding risk. However, on September 5, 2016, this landslide was reactivated and dammed the river again, creating a 20-m high dam at the same location and resulting in the formation of a barrier lake with a volume of 0.6 million m(3). The day after the event we carried out a field investigation of the landslide and obtained a high-resolution image and DEM using UAV. The satellite images from 2005, 2008, 2010 and 2015 were also collected to analyze the evolution of the landslide. Together with multi-temporal DEMs, the geometry and volumes of the displaced mass and the landslide dams and barrier lakes were calculated using image interpretation and 3D spatial analysis with GIS. This landslide is of great scientific interest, as it presents a good example of multiple reactivation of a prehistorical giant landslide under different triggering conditions: a reactivation of an older landslide during the Wenchuan earthquake, and a second reactivation during a rainfall event several years later. Meanwhile from the hazard assessment and prevention perspective, it is also representative as it dammed the river twice in 2008 and 2016, posing threats to both upstream and downstream areas. We infer that the successive landslides in this region could be caused by the strong tectonic activities: including earthquakes and high average uplifting rate. The results of landslide volume analysis using multi-temporal DEMs, contribute to the landslide mechanism analysis, and suggest that the landslide volume estimation is effected by the landslide type, landslide rupture surface location, and resolution of DEM. We also compare the performance of different empirical models of landslide stability and dam-breach flood parameters and discuss their application during the quick assessment of the potential hazard of the landslide dams. Generally, the successive landslide dams at the Tangjiawan site are caused by the successive landslide reactivations on an anti-dip slope controlled by strong tectonic activity and river erosion, involve with a mass of loose materials of previous landslide deposition, and possess high flood risk to the downstream area. The experience gained in this work can be used to assist the hazard assessment and the planning of the emergency measures for similar landslide dams in the future.
C1 [Fan, Xuanmei; Zhan, Weiwei; Dong, Xiujun; Xu, Qiang; Dai, Lanxin; Yang, Qin; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
   [Zhan, Weiwei] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA.
   [van Westen, Cees] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Havenith, Hans-Balder] Univ Liege, Georisques & Environm, Liege, Belgium.
C3 Chengdu University of Technology; Clemson University; University of
   Twente; University of Liege
RP Zhan, WW (corresponding author), Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA.; Dong, XJ (corresponding author), Chengdu Univ Technol, 1 Erxianqiao Dongsanlu, Chengdu 610059, Sichuan, Peoples R China.
EM wzhan@g.clemson.edu; dongxj.sklgp@163.com
TC 52
Z9 58
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD SEP 4
PY 2018
VL 243
BP 128
EP 144
DI 10.1016/j.enggeo.2018.06.016
SC Engineering; Geology
UT WOS:000443670600013
ER

PT J
AU Park, I
   Lee, S
AF Park, Inhye
   Lee, Saro
TI Spatial prediction of landslide susceptibility using a decision tree
   approach: a case study of the Pyeongchang area, Korea
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID LOGISTIC-REGRESSION MODELS; EVIDENTIAL BELIEF FUNCTION; 2008 WENCHUAN
   EARTHQUAKE; SUPPORT VECTOR MACHINE; HOA BINH PROVINCE; FREQUENCY RATIO;
   STATISTICAL-ANALYSIS; ASTER IMAGERY; GIS; HAZARD
AB A decision tree approach was applied and validated for analysis of landslide susceptibility using a geographic information system (GIS). The study area was the Pyeongchang area in Gangwon Province, Korea, where many landslides occurred in 2006 and where the 2018 Winter Olympics are to be held. Spatial data, such as landslides, topography, and geology, were detected, collected, and compiled in a database using remote sensing and GIS. The 3994 recorded landslide locations were randomly split 50/50 for training and validation of the models. A decision tree model, which is a type of data-mining classification model, was applied and decision trees were constructed using the chi-squared (chi(2)) automatic interaction detector (CHAID) and the quick, unbiased, and efficient statistical tree (QUEST) algorithms. Also, as a reference, a frequency-ratio model was applied using the same database. The relationships between the detected landslide locations and their factors were identified and quantified by frequency-ratio and decision tree models. The relationships were used as factor ratings in the overlay analysis to create landslide susceptibility indices and maps. Then, the resulting landslide-susceptibility maps were validated using area-under-the-curve (AUC) analysis with the landslide area data that had not been used for training the model. The decision tree models using the CHAID and QUEST algorithms had accuracies of 81.56% and 80.91%, respectively, which were somewhat better than the results for the frequency-ratio model (80.15%). These results indicate that decision tree models using the CHAID and QUEST algorithms can be useful for landslide susceptibility analysis.
C1 [Park, Inhye] Univ Seoul, Dept Geoinformat, Seoul 130743, South Korea.
   [Lee, Saro] Korea Inst Geosci & Mineral Resources KIGAM, Geol Mapping Dept, Taejon 305350, South Korea.
C3 University of Seoul; Korea Institute of Geoscience & Mineral Resources
   (KIGAM)
RP Lee, S (corresponding author), Korea Univ Sci & Technol, Taejon 305350, South Korea.
EM leesaro@kigam.re.kr
TC 51
Z9 60
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2014
VL 35
IS 16
BP 6089
EP 6112
DI 10.1080/01431161.2014.943326
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000342298200010
ER

PT J
AU Du, Y
   Liu, H
   Li, H
   Xie, MW
   Chicas, SD
   Wu, JD
   Lv, FX
   Wu, YX
AF Du, Yan
   Liu, Hui
   Li, Heng
   Xie, Mowen
   Chicas, Santos D.
   Wu, Jidong
   Lv, Fuxia
   Wu, Yaxin
TI Exploring the initiating mechanism, monitoring equipment and warning
   indicators of gully-type debris flow for disaster reduction: a review
SO NATURAL HAZARDS
DT Review
DE Gully-type debris flow; Initiating mechanism; Monitoring equipment;
   Early warning; Warning indicator
ID NEVADO-DEL-RUIZ; INTENSITY-DURATION THRESHOLDS; VOLCANO-GLACIER
   INTERACTIONS; GROUND VIBRATION SIGNAL; RECENTLY BURNED AREAS; 13
   NOVEMBER 1985; WENCHUAN EARTHQUAKE; RAINFALL CONDITIONS; SHALLOW
   LANDSLIDES; IMPACT PRESSURE
AB Debris flow is a type of natural disaster characterized by sudden outbreaks, rapid movement, short duration, and extreme destructive power, posing a serious threat to human lives and property. Among debris flow events, gully-type debris flows constitute a significant proportion. Therefore, comprehending the mechanisms that trigger gully-type debris flows is of great practical importance. Based on the unique characteristics of these debris flows in various regions, choosing suitable monitoring equipment and setting up a dependable early warning system for gully-type debris flows is essential. This study overviews the initiating mechanisms, monitoring equipment, and warning indicators of gully-type debris flows. The primary source of gully-type debris flow formation is loose material sources formed by landslides and rockfalls in the middle reaches of the valley. These rich loose material sources serve as the basis for initiating debris flows, where water acts as the triggering factor. The determination of key indicators and identification criteria forms the basis for debris flow early warning. Early warning during the initiation stage of gully-type debris flows is the most time-sensitive, and the prompt recognition of debris flow initiation is the ultimate goal of early warning. Monitoring vibration characteristics offers advantages in predicting gully-type debris flows, enabling the selection of natural frequency and related parameters as key warning indicators. In the future, establishing a multi-source data monitoring and early warning system for the source area of gully-type debris flows is one of the effective ways to reduce the chain disaster of debris flow and ensure the safety of people in mountainous areas.
C1 [Du, Yan; Liu, Hui; Li, Heng; Xie, Mowen; Lv, Fuxia] Univ Sci & Technol Beijing, Beijing Key Lab Urban Underground Space Engn, Beijing 100083, Peoples R China.
   [Chicas, Santos D.] Kyushu Univ, Dept Agroenvironm Sci, Fukuoka 8190395, Japan.
   [Wu, Jidong] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Wu, Yaxin] China Univ Min & Technol Beijing, Sch Mech & Civil Engn, Beijing 100083, Peoples R China.
C3 University of Science & Technology Beijing; Kyushu University; Beijing
   Normal University; China University of Mining & Technology
RP Li, H (corresponding author), Univ Sci & Technol Beijing, Beijing Key Lab Urban Underground Space Engn, Beijing 100083, Peoples R China.
EM liheng_0_1@163.com
TC 7
Z9 10
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD DEC
PY 2024
VL 120
IS 15
BP 13667
EP 13692
DI 10.1007/s11069-024-06742-7
EA JUL 2024
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001272241200013
ER

PT J
AU Peng, CY
   Yang, JS
   Xue, B
   Chen, Y
   Zhu, XY
AF Peng Chao-Yong
   Yang Jian-Si
   Xue Bing
   Chen Yang
   Zhu Xiao-Yi
TI Research on correlation between early-warning parameters and magnitude
   for the Wenchuan Earthquake and its aftershocks
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Earthquake early warning; Earthquake magnitude; P-d method; Integral of
   the velocity squared; tau(c) method; tau(p) method
ID RUPTURE; TAIWAN
AB As one of the effective ways to mitigate earthquake hazards, earthquake early warning (EEW) has been studied by many countries and regions in the world. They have achieved significant mitigation practical effectiveness during operations. We studied the correlation between the final event magnitude and four early-warning parameters obtained from the early portion of P and S phases for the Wenchuan mainshock and its aftershocks. The investigated parameters are the peak displacement (P-d), the integral of the velocity squared ( IV2), and the predominant and characteristic periods (tau(p) and tau(c)). The used dataset spans from 12 May 2008 to 4 October 2008 and includes 218 events with magnitude greater than or equal to 4, including the main event (M8. 0), the largest aftershock of M6. 5, and 7 events with magnitude greater than 6. P-d, IV2 and tau(c) are well correlated with the final magnitude and no saturation effect is observed when magnitudes are less than or equal to 6. 5, confirming previous results. However, when estimating the mainshock, these parameters have different degrees of underestimated phenomenon, especially IV2 parameter. In addition, there are slope changes in the P-d and IV2 regression curves around M6, and P-d result is quite different from the previous results. tau(p) result shows that this parameter is not suitable for the EEW system in the Wenchuan area.
C1 [Peng Chao-Yong; Yang Jian-Si] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
   [Xue Bing; Chen Yang; Zhu Xiao-Yi] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA; China
   Earthquake Administration
RP Peng, CY (corresponding author), China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
EM pcy@geodevice.cn
TC 12
Z9 34
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD OCT
PY 2013
VL 56
IS 10
BP 3404
EP 3415
DI 10.6038/cjg20131016
SC Geochemistry & Geophysics
UT WOS:000326848400016
ER

PT J
AU He, AH
   Singh, RP
AF He, Anhua
   Singh, Ramesh P.
TI Coseismic Groundwater Temperature Response Associated with the Wenchuan
   Earthquake
SO PURE AND APPLIED GEOPHYSICS
DT Article
DE Coseismic temperature response; groundwater temperature; Wenchuan
   earthquake; well-aquifer system; coseismic mechanism of groundwater
   temperature
ID WATER-LEVEL CHANGES; ATMOSPHERIC-PRESSURE; FLUID PRESSURE; STRESS
   CHANGES; WELL; CHINA; TERM; PARKFIELD; ANOMALIES; RELEASE
AB Various physical, geophysical, geochemical, electrical and hydrological parameters are measured on the surface and in shallow/deep boreholes throughout mainland China to obtain early warning signals of impending earthquakes. Numerous wells are equipped with water level and temperature sensors for continuous observations of the water level and groundwater temperature. An analysis of water temperature data from boreholes equipped with water temperature sensors reveals that nearly half of the boreholes show coseismic response associated with the Wenchuan earthquake (M-w 7.9, 12 May, 2008). The coseismic response of the groundwater temperature cannot be differentiated from the groundwater flow or movement when the earthquake occurred, but there is no fixed relationship between the temperature variation and the water flow. At the same time, we observed that the rock temperature in dry wells can record the seismic events and even the pre-seismic abnormal information. The spatial distribution of the coseismic groundwater temperature response is random and irregular, which does not support the dislocation model of seismic faults at the regional or larger scale. Changes in the groundwater temperature are closely related to the borehole temperature gradient, lithology profile and geological environment of the borehole and depths of the aquifers. The mechanism of the coseismic groundwater temperature response can be explained by an enhanced permeability induced by an earthquake. The groundwater temperature increases if the temperature sensor in the borehole is located near the deep-circulating aquifer and decreases if the sensor is near the shallow-circulating aquifer when seismic waves arrive. The groundwater temperature may be slightly affected or even unchanged if the temperature sensor is far from the aquifer during the propagation of seismic waves. However, it was hard to conclude the changes of rock temperature observed in six dry wells.
C1 [He, Anhua] CEA, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.
   [He, Anhua] Beijing Engn Res Ctr Earthquake Observation, Beijing 100085, Peoples R China.
   [Singh, Ramesh P.] Chapman Univ, Sch Life & Environm Sci, Schmid Coll Sci & Technol, One Univ Dr, Orange, CA 92866 USA.
C3 China Earthquake Administration; Chapman University System; Chapman
   University
RP He, AH (corresponding author), CEA, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.; He, AH (corresponding author), Beijing Engn Res Ctr Earthquake Observation, Beijing 100085, Peoples R China.
EM dqs_hah@163.com
TC 22
Z9 25
PU SPRINGER BASEL AG
PI BASEL
PA PICASSOPLATZ 4, BASEL, 4052, SWITZERLAND
SN 0033-4553
EI 1420-9136
PD JAN
PY 2020
VL 177
IS 1
SI SI
BP 109
EP 120
DI 10.1007/s00024-019-02097-4
SC Geochemistry & Geophysics
UT WOS:000519917900009
ER

PT J
AU Wang, QX
   Xu, C
   Xu, JX
AF Wang, Qinxia
   Xu, Chong
   Xu, Jixiang
TI Exploration of Landslide Geomorphology and Inventory Construction in
   Minhe County, Qinghai, China, Based on Google Earth Remote Sensing
   Imagery
SO TRANSACTIONS IN GIS
DT Article
DE landslide inventory; Minhe County; Qinghai-Tibet plateau region; visual
   interpretation
ID HAZARD ASSESSMENT; WENCHUAN EARTHQUAKE; DATABASE; SLOPE; GIS; PROVINCE;
   YUNNAN; ZONE; AREA
AB The upper reaches of the Yellow River, located at the northeastern edge of the Qinghai-Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed and objective map of landslide geomorphology in this region is crucial for understanding the development of landslides. However, the availability of high-quality landslide inventories in this area is limited, hindering a comprehensive understanding of landslide development and scientific landslide disaster prevention efforts. This study utilized multi-temporal high-resolution remote sensing imagery provided by the Google Earth platform to conduct a thorough landslide geomorphology survey and inventory construction in Minhe County, located in the upper Yellow River. The results show that within the study area of 1890.82 km2, at least 5517 landslide geomorphologies were identified, covering an area of 434.43 km2, with landslide-affected areas accounting for approximately 22.98% of the total area. The largest single landslide area is 1.62 x 106 m2, while the smallest single landslide area is 880.22 m2, with an average landslide area of 78743.04 m2. The highest landslide point density reached 11.5 km-2. More than 80% of the landslides were distributed in the townships of Qianhe, Zhongchuan, Guanting, and Bazhou. Landslides were predominantly distributed along the tributaries of the Huangshui and Yellow Rivers, with denser occurrences at river bends. In addition, some landslide geomorphologies are located in densely populated village areas, posing significant safety risks. These results provide valuable data support for further analysis of landslide spatial distribution in Minhe County, landslide risk assessment, and other related research.
C1 [Wang, Qinxia; Xu, Chong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.
   [Xu, Chong] Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
   [Xu, Jixiang] China Earthquake Adm, Inst Geol, Beijing, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.; Xu, C (corresponding author), Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
EM xc11111111@126.com
TC 3
Z9 4
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1361-1682
EI 1467-9671
PD FEB
PY 2025
VL 29
IS 1
DI 10.1111/tgis.13281
EA DEC 2024
SC Geography
UT WOS:001373837400001
ER

PT J
AU Chang, M
   Zhou, Y
   Zhou, C
   Hales, TC
AF Chang, Ming
   Zhou, Yu
   Zhou, Chao
   Hales, Tristram C.
TI Coseismic landslides induced by the 2018 Mw6.6 Iburi, Japan,
   Earthquake: spatial distribution, key factors weight, and susceptibility
   regionalization
SO LANDSLIDES
DT Article
DE Coseismic landslides; Spatial distribution; Key factors weight;
   Susceptibility regionalization
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; DISTRIBUTION PATTERN; LUSHAN
   EARTHQUAKE; HAZARD; CHINA; AREA; SICHUAN; GIS; HOKKAIDO
AB This research aims to explore detailed spatial distribution characteristics, identify key factors weight, and establish an accurate susceptibility regionalization model of coseismic landslides by the Mw 6.6 Iburi, Japan, earthquake sequence of 6 September 2018. Based on the remote sensing interpretation database, 5,977 individual coseismic landslides were delineated, which occupies an area of about 15.26 km(2). The relationship between eight key factors and spatial distribution of coseismic landslides were precisely analyzed by the landslide area density (LAD) and landslide point density (LPD) curves. In order to obtain the weight of eight key factors more accurately, this paper compares the similarities and differences of the two curves in the earthquakes with similar magnitude, which was included the Lushan and Jiuzhaigou earthquake in China. According to the weight of eight key factors, the improved weight of evidence method was used to produce the susceptibility regionalization map of coseismic landslides in the Iburi earthquake. The results show that the improved weight of evidence method has better precision and can provide a scientific coseismic landslides susceptibility regionalization map for disaster prevention and mitigation in the Iburi earthquake.
C1 [Chang, Ming; Zhou, Yu; Zhou, Chao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Chang, Ming; Hales, Tristram C.] Cardiff Univ, Sch Earth & Ocean Sci, Cardiff, Wales.
C3 Chengdu University of Technology; Cardiff University
RP Chang, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM changmxq@126.com
TC 32
Z9 36
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD FEB
PY 2021
VL 18
IS 2
BP 755
EP 772
DI 10.1007/s10346-020-01522-3
EA SEP 2020
SC Engineering; Geology
UT WOS:000568005800001
ER

PT J
AU Wan, KS
   Ni, SD
   Zeng, XF
   Sommerville, P
AF Wan KeSong
   Ni SiDao
   Zeng XiangFang
   Sommerville, Paul
TI Real-time seismology for the 05/12/2008 Wenchuan earthquake of China: A
   retrospective view
SO SCIENCE IN CHINA SERIES D-EARTH SCIENCES
DT Article
DE real-time seismology; earthquake early warning; strong ground motion;
   rapid location
ID 2002 DENALI FAULT; MITIGATION; CALIFORNIA; MAGNITUDE; MOTION; ALASKA;
   SYSTEM; CANNOT
AB The devastating 05/12/2008 Wenchuan earthquake (M(w)7.9) in Sichuan Province of China showed very few precursory phenomena and occurred on a fault system once assigned to be of moderate long term seismic risk. Given the existing coverage of seismograph stations in Sichuan Province, real-time seismology could have been effective in avoiding some earthquake damage and helping post-earthquake emergency response. In a retrospective view, we demonstrated that the epicenter can be located with 20 km accuracy using just two broadband stations with three-component, which takes only about 10 s after the onset of the earthquake. Initial magnitude is estimated to be M7 with the Tc measurement over first 4 seconds of P waves. Better magnitude estimate can be obtained within 2 min by modeling Pnl waves for stations about 500 km away where the S waveforms are clipped. The rupture area is well revealed by teleseismically-recorded > M5 early aftershocks within two hours after the mainshock. Within a few hours, teleseismic body waves were inverted to derive a more detailed rupture process and the finite fault model can be readily used to calculate ground motions, thus providing vital information for rescue efforts in the case where no real-time strong motion records are available.
C1 [Wan KeSong; Ni SiDao; Zeng XiangFang] Univ Sci & Technol China, Sch Earth & Space Sci, Mengcheng Natl Geophys Observ, Hefei 230026, Peoples R China.
   [Sommerville, Paul] United Res Serv Corp, Pasadena, CA 91101 USA.
C3 Chinese Academy of Sciences; University of Science & Technology of
   China, CAS; URS Corporation
RP Ni, SD (corresponding author), Univ Sci & Technol China, Sch Earth & Space Sci, Mengcheng Natl Geophys Observ, Hefei 230026, Peoples R China.
EM sdni@ustc.edu.cn
TC 5
Z9 5
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1006-9313
PD FEB
PY 2009
VL 52
IS 2
BP 155
EP 165
DI 10.1007/s11430-009-0007-1
SC Geology
UT WOS:000262684300002
ER

PT J
AU Huang, T
   Ding, MT
   Geng, DX
   Gao, ZM
   Zheng, H
AF Huang, Tao
   Ding, Mingtao
   Geng, Dongxian
   Gao, Zemin
   Zheng, Hao
TI Identifying drivers of urban landuse changes in the Wenchuan
   earthquake-affected area by using night-time light data
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Wenchuan earthquake; Night-time lights; Urban land; Post-earthquake
   reconstruction
ID SUITABILITY EVALUATION; CITY; RECONSTRUCTION; INTERCALIBRATION;
   EXPANSION; DYNAMICS; DMSP/OLS; RECOVERY
AB To learn the process of urban land evolution before and after an earthquake is vital to formulate the urban reconstruction control policies and recovery measures in the earthquake-stricken areas. However, spatiotemporal evolution and its driving factors of urban land in earthquake-prone areas remains limited due to the scarcity of ground observation data. This research, leveraging night-time light remote sensing imagery and land cover data, conducted a comprehensive analysis of the long-term evolution characteristics of urban land in earthquake-prone areas. It introduced methodologies for assessing the socio-economic impact and the primary natural environmental factors driving urban land evolution in these regions. To validate the proposed methods, the 2008 Wenchuan earthquake-affected area in China was selected as a representative study area. The results indicated that the average Digital Number (DN) values in socio-economically impacted areas showed a trend of rising, falling, and then rising again after the earthquake. DN values in three types of damaged areas including Type II,Type III, and Type IV exceeded pre-earthquake levels. The analysis of determinative factors influencing urban land evolution revealed that slope and elevation were key elements in controlling urban land expansion before the earthquake, whereas factors such as slope, elevation, lithology, and faults had a stronger influence on urban land expansion after the earthquake. It can be seen that, in view of the differences in the natural conditions of regions for post-disaster reconstruction, the local government need to actively adjust and adapt to urban spatial planning, so as to leverage the scale effect of large-scale inputs of funds, facilities, human resources and other factors after the disaster, thus enhancing resilience and recovery efficiency in response to disaster impacts.
C1 [Huang, Tao; Ding, Mingtao; Gao, Zemin; Zheng, Hao] Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.
   [Huang, Tao] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
   [Geng, Dongxian] Anal & Test Ctr Sichuan Prov, Chengdu, Peoples R China.
C3 Southwest University of Science & Technology - China; Southwest Jiaotong
   University
RP Ding, MT (corresponding author), Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.; Geng, DX (corresponding author), Anal & Test Ctr Sichuan Prov, Chengdu, Peoples R China.
EM htao5071@163.com; mingtaoding@swjtu.edu.cn; geng0909@126.com;
   zemingao@my.swjtu.edu.cn; haozheng950415@163.com
TC 1
Z9 1
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2024
VL 21
IS 4
BP 1140
EP 1159
DI 10.1007/s11629-023-7940-x
SC Environmental Sciences & Ecology
UT WOS:001234635800014
ER

PT J
AU Yang, WT
   Qi, WW
AF Yang, Wentao
   Qi, Wenwen
TI Spatial-Temporal Dynamic Monitoring of Vegetation Recovery After the
   Wenchuan Earthquake
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Postseismic geo-hazard; postseismic vegetation recovery; time series of
   remote sensing images; vegetation recovery classifications
ID CHANGE-VECTOR ANALYSIS; LAND-COVER CHANGE; TIME-SERIES DATA; CENTRAL
   TAIWAN; MULTITEMPORAL SPACE; INDUCED LANDSLIDES; DESTRUCTION; HAZARDS;
   EROSION; REGIONS
AB Mountainous vegetation recovery after major earthquakes has important implications for preventing postseismic soil erosion and geo-hazards. However, regional recovery processes of the postseismic vegetation and its spatial patterns have not been thoroughly studied. In this paper, we examined the vegetation recovery processes following the 2008 Wenchuan earthquake (Ms. 7.8) using 16-day intervalMODIS normalized difference vegetation index time series from 2000 to 2014. The Savitzky-Golay filter and cross-correlogram spectral matching were used to eliminate the influences of cloud and intraannual phenology. Change vector analysis was applied to measure the postseismic vegetation recovery conditions for each year. We find that the heavily affected vegetation areas are mainly located along the southern part of the earthquake surface rupture. Additionally, five major affected vegetation types have been identified: shrubland, grassland, broadleaf/mixed, needleleaf, and plantation. Shrubland represents the largest fraction of vegetation type in the heavily affected area, whereas plantation comprises the smallest fraction of vegetation type in the heavily affected area. Further analysis indicates that the changing trend of postseismic vegetation conditions in the first six years can be grouped into three classes: recovering, fluctuating, and deteriorating. Recovering and fluctuating classes cover 59% and 37% of the heavily affected areas, respectively, and are the two dominant postseismic vegetation classes. In contrast, the deteriorating recovery class covers just 4% of the affected areas. The recovering vegetation is primarily located around the epicenter, and most of the fluctuating classes is located to the northeast of the epicenter. These results demonstrate that the Wenchuan earthquake has long-term and important influences on mountain vegetation, andmore attention should be given to the locations of deteriorating and fluctuating vegetation following mountain disasters.
C1 [Yang, Wentao] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
   [Qi, Wenwen] Beijing Twenty First Century Sci & Technol Dev Co, Beijing 100096, Peoples R China.
C3 Beijing Forestry University
RP Yang, WT (corresponding author), Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
EM yang_wentao@bjfu.edu.cn; qiww@lreis.ac.cn
TC 22
Z9 22
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PD MAR
PY 2017
VL 10
IS 3
BP 868
EP 876
DI 10.1109/JSTARS.2016.2616511
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000395876100007
ER

PT J
AU Ren, ZK
   Lin, AM
AF Ren, Zhikun
   Lin, Aiming
TI Co-seismic landslides induced by the 2008 Wenchuan magnitude 8.0
   Earthquake, as revealed by ALOS PRISM and AVNIR2 imagery data
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID SURFACE RUPTURE; THRESHOLD HILLSLOPES; KUNLUN EARTHQUAKE; SLOPE-FAILURE;
   TIBET; INCREASE; SICHUAN; CHINA; BASIN; BELT
AB The magnitude 8.0 Wenchuan Earthquake occurred on 12 May 2008 in Sichuan Province, China, resulting in numerous landslides along the marginal zone between the Tibetan Plateau and Sichuan Basin. We used Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) and Advanced Visible and Near Infrared Radiometer type 2 (AVNIR 2) data from the Advanced Land Observing Satellite (ALOS) and Landsat Enhanced Thematic Mapper (ETM) images acquired before and after the earthquake to identify co-seismic landslides. Interpretations of remote sensing images, combined with fieldwork, reveal that co-seismic landslides are mainly restricted to a corridor of 18 km in width about the co-seismic surface rupture zone along a length of 285 km along pre-existing active faults of the Longmenshan Thrust Belt. The landslides mainly occurred upon steep slopes (dips of 30-75 degrees). The distribution and topographic features of co-seismic landslides indicate a close relationship with seismic slip along the co-seismic surface rupture zone. The locations of landslides are controlled by the tectonic topography developed along pre-existing active faults of the Longmenshan Thrust Belt. Our results demonstrate that remote sensing techniques provide a powerful tool for identifying co-seismic landslides produced in intermountain regions by strong earthquakes.
C1 [Ren, Zhikun; Lin, Aiming] Shizuoka Univ, Grad Sch Sci & Technol, Shizuoka 4228529, Japan.
C3 Shizuoka University
RP Lin, AM (corresponding author), Shizuoka Univ, Grad Sch Sci & Technol, Shizuoka 4228529, Japan.
EM slin@ipc.shizuoka.ac.jp
TC 29
Z9 30
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2010
VL 31
IS 13
BP 3479
EP 3493
AR PII 924663688
DI 10.1080/01431161003727770
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000011
ER

PT J
AU Li, Z
   Chen, Q
   Zhou, JM
   Tian, BS
AF Li, Zhen
   Chen, Quan
   Zhou, Jianmin
   Tian, Bangsen
TI Analysis of synthetic aperture range image characteristics for seismic
   disasters in the Wenchuan earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE Wenchuan Earthquake; landslide; barrier lake; SAR image characteristic;
   polarizational response; interferometric SAR
AB More than 69,000 people died following the Ms 8.0 Wenchuan earthquake of May 12, 2008. Bad weather hampered relief efforts, and in some cases rescuers had to trek into the disaster area on foot and search for trapped survivors by hand as roads were blocked by debris. Due to travel difficulties, spatial information needs to be extracted in the disaster area by remote sensing techniques. The main problem focused on in this paper is how to use the all-weather and all-day/night capability of Synthetic Aperture Radar (SAR) to extract primary seismic disaster information after the earthquake. Using air-and space-borne SAR images with different bands, polarizations and incidence angles, including multi-polarization X-band air-borne data, C-band polarimetric Radarsat-2, X-band TerraSAR-X with high resolution, multi-polarization X-band COSMO-SkyMed and L-band multi-polarization ALOS-PalSAR space-borne data, we perform image characteristics analysis of landslides. Obvious differences can be recognized between old and new landsides in SAR images with different bands. Multi-polarization SAR can play an important role in landslide discrimination. Two SAR images at different incidence angles do not provide much more information if the difference between the two angles is small. Landslide recognition accuracy strongly depends on the direction of view, especially for large incidence angles, in which case the characteristic difference for landslide recognition is great. There are different polarization responses between a landslide and its surroundings that can be used to recognize the landslide. Interferometric SAR images, on the other hand, do not provide good recognition capability due to temporal decorrelation and resolution. Meanwhile, information extraction of barrier lakes using different resolution and incidence angle SAR images is analyzed in this paper; small incidence angles and high resolutions improve the object recognition and information extraction of barrier lakes.
C1 [Li, Zhen; Chen, Quan; Zhou, Jianmin; Tian, Bangsen] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences
RP Li, Z (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Key Lab Digital Earth Sci, Beijing 100190, Peoples R China.
EM zli@ceode.ac.cn
TC 8
Z9 8
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031685
DI 10.1117/1.3153906
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700011
ER

PT J
AU Tian, X
   Ma, XY
   Huang, MW
   Guo, YT
   Yang, HF
   Yang, LS
   Chen, H
   Gao, RY
   Li, J
   Lin, YM
AF Tian, Xue
   Ma, Xinyu
   Huang, Maowei
   Guo, Yiting
   Yang, Hongfei
   Yang, Liusheng
   Chen, Hui
   Gao, Ruoyun
   Li, Jian
   Lin, Yongming
TI Spatiotemporal Dynamic Characteristics of Land Use in the Typical
   Watershed of Wenchuan Earthquake-Affected Areas-A Case Study in the
   Longxi River Basin
SO SUSTAINABILITY
DT Article
DE land use; integrated land use degree; land use transition matrix; Longxi
   River basin
ID LANDSCAPE; COVER; VEGETATION; DISASTERS; IMPACTS; FORESTS
AB Major earthquakes cause serious damage to ecosystem structure and function through their huge destructive force and subsequent geohazards. Understanding the characteristics of post-earthquake land use change is of great interest to assess the effects of ecological restoration in earthquake-affected areas. However, little is known about the consequences of land use change on a small scale due to incomplete, non-comprehensive, and sparse research data. Here, we used remote-sensing images to study the land use change characteristics of the Longxi River before and after the Wenchuan earthquake by calculating the land use dynamics degree, transition matrix, and gravity center of the Longxi River Basin from 2005 to 2015. The Wenchuan earthquake disaster did not affect the main dominance of forests. Grassland, the second dominant land type, was replaced by geohazard-induced unutilized land after the earthquake. Compared with pre-earthquake in 2005, the areas of cultivated land, forest, grassland, and water area decreased, while those of construction land and unutilized land increased in 2015. The single land use dynamic degree and spatial dynamic change degree show the highest transition intensity of other land use types to unutilized land between 2005 and 2009. However, the degrees of all land use types decreased between 2009 and 2015. Both banks of the lower reach of the Longxi River had high and developing comprehensive indexes of land use degrees during the study period. The gravity centers of grassland, construction land, water, and cultivated land changed from north to south, while forest and unutilized land had the opposite pattern. Our results provide useful information for ecological restoration, ecological security, and soil-erosion control in earthquake-affected areas.
C1 [Tian, Xue; Ma, Xinyu; Huang, Maowei; Guo, Yiting; Yang, Hongfei; Yang, Liusheng; Chen, Hui; Gao, Ruoyun; Li, Jian; Lin, Yongming] Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Peoples R China.
   [Tian, Xue; Guo, Yiting; Yang, Hongfei; Yang, Liusheng; Chen, Hui; Gao, Ruoyun; Li, Jian; Lin, Yongming] Key Lab Forest Ecosyst Proc & Management Fujian Pr, Fuzhou 350002, Peoples R China.
C3 Fujian Agriculture & Forestry University
RP Lin, YM (corresponding author), Fujian Agr & Forestry Univ, Coll Forestry, Fuzhou 350002, Peoples R China.; Lin, YM (corresponding author), Key Lab Forest Ecosyst Proc & Management Fujian Pr, Fuzhou 350002, Peoples R China.
EM 000q131082@fafu.edu.cn
TC 7
Z9 7
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD DEC
PY 2022
VL 14
IS 23
AR 15937
DI 10.3390/su142315937
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000896244000001
ER

PT J
AU Gan, BR
   Yang, XG
   Zhang, W
   Zhou, JW
AF Gan, Bin-rui
   Yang, Xing-guo
   Zhang, Wen
   Zhou, Jia-wen
TI Temporal and Spatial Evolution of Vegetation Coverage in the Mianyuan
   River Basin Influenced by Strong Earthquake Disturbance
SO SCIENTIFIC REPORTS
DT Article
ID 2008 WENCHUAN EARTHQUAKE; RECOVERY; CHINA; AREA; DESTRUCTION; IMPACTS;
   NDVI
AB The 2008 Wenchuan earthquake caused significant economic losses and degradation of regional ecosystems, including the terrestrial vegetation. Since the vegetation root system can enhance the soil's anti-erosion capacity and therefore mitigate the occurrence of slope instabilities, it is beneficial to study the spatial and temporal evolution of vegetation for a long-term assessment of co-seismic secondary disasters. The Mianyuan River Basin, an uninhabited area passing through an active fault located in the earthquake-affected region, was selected as the study area. The Normal Difference Vegetation Index (NDVI) was calculated using remote sensing images from 1994 to 2017 to analyze the process of vegetation growth, loss, fluctuation and recovery. Statistical results suggest that the area in the middle and lower reaches, near the river network, and with a slope of 30 to 40 degrees were variable regions, showing more significant vegetation destruction during the earthquake and faster repair after the seismic event. Besides, vegetation near the fault was damaged more severely after the earthquake, but the active fault did not play an essential role in the vegetation recovery period. In the Mianyuan River Basin, vegetation experienced a volatility period (5 plus or minus one year) before entering the recovery period. In 8 to 9 years after the earthquake, the surficial vegetation could recover to the state before the earthquake.
C1 [Gan, Bin-rui; Zhang, Wen; Zhou, Jia-wen] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China.
   [Yang, Xing-guo] Sichuan Univ, Coll Water Resource & Hydropower, Chengdu 610065, Sichuan, Peoples R China.
C3 Sichuan University; Sichuan University
RP Zhou, JW (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Sichuan, Peoples R China.
EM jwzhou@scu.edu.cn
TC 28
Z9 31
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD NOV 14
PY 2019
VL 9
AR 16762
DI 10.1038/s41598-019-53264-5
SC Science & Technology - Other Topics
UT WOS:000496415100024
ER

PT J
AU Li, N
   Tang, C
   Yang, T
AF Li, Ning
   Tang, Chuan
   Yang, Tao
TI Ten years of landslide development after the Wenchuan earthquake: a case
   study from Miansi town, China
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake; Debris flow; Landslides; Dynamic evolution;
   Controlling factors
ID DISTRIBUTION PATTERN; AREAS
AB The earthquake outbreak on 12 May 2008, in Wenchuan County caused long-term instability and frequent geological hazards on the mountain slopes in the earthquake area. Considering Miansi town in the strong earthquake area as an example, this paper analyses the development and characteristics of landslides in the 10 years after the earthquake. We collected five periods of remote sensing images in the 10 years after the earthquake, obtained the corresponding landslide distribution and activity characteristics, and then analysed the development of landslide activity over the 10 years. The total area of the landslides grew intensively from 2008 to 2014, and then the growth rate slowed down significantly after the heavy rainfall event on 10 July 2013. At the same time, the influence of slope, slope aspect, distance to a river channel, elevation, and other factors on the probability of landslides is analysed by using the distribution of the landslides. The areas that are prone to landslides, which mainly include the areas with elevations of 1700-3200 m, the areas with slopes of 30-60 degrees, the areas with aspects of 90 degrees-225 degrees (with north having an aspect of 0 degrees), and the area that are less than 200 m from a river channel, are divided according to the distribution density.
C1 [Li, Ning] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
   [Tang, Chuan] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 61005, Peoples R China.
   [Yang, Tao] Sichuan Chuanjian Geotech Survey & Design Inst, Chengdu 610041, Peoples R China.
C3 Xihua University
RP Li, N (corresponding author), Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
EM 1220200026@mail.xhu.edu.cn
TC 5
Z9 6
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD APR
PY 2022
VL 111
IS 3
BP 2787
EP 2808
DI 10.1007/s11069-021-05157-y
EA JAN 2022
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000741639500001
ER

PT J
AU Lin, JW
AF Lin, Jyh-Woei
TI Early warning from seismic ionospheric anomaly of the 24 May 2014,
   Mw=6.4 Aegean-Sea earthquake: two-dimensional
   principal component analysis (2DPCA)
SO GEOFISICA INTERNACIONAL
DT Article
DE Two-dimensional principal component analysis (2DPCA); two-dimensional
   total electron content (TEC); Aegean-Sea earthquake; acoustic shock
   waves
ID WENCHUAN EARTHQUAKE; PERTURBATIONS; REPRESENTATION; DISTURBANCES;
   SIGNALS; MODEL
AB Two-dimensional principal component analysis (2DPCA) has been used to determine ionospheric two-dimensional total electron content (TEC) anomaly after Aegean-Sea earthquake at 09:25:03(UT) on 24 May, 2014 (M-w = 6.4). The TEC anomaly was more intense localized at 09:30 to 9:35 (UT) post the earthquake. Potential reason of the TEC anomaly, which might be a anomalous fluctuation e.g., electron density variation, is rising high speed acoustic shock wave with the speed of at least 1818.18 Km/h. m/s resulted by the mainshock of the earthquake. The duration time of the TEC anomaly was at least 5 minutes. The anomalous fluctuation could be an early warning for the regions far from the epicenter when it began to propagate because the tsunami arrived at the far regions very slower than anomalous fluctuation if the tsunami was caused by earthquake with epicenter in the sea.
C1 Natl Cheng Kung Univ, Dept Earth Sci, Tainan 70101, Taiwan.
C3 National Cheng Kung University
RP Lin, JW (corresponding author), Natl Cheng Kung Univ, Dept Earth Sci, 1 Univ Rd, Tainan 70101, Taiwan.
EM pgjwl1966@gmail.com
TC 2
Z9 2
PU INST GEOPHYSICS UNAM
PI MEXICO CITY
PA Circuito Exterior s/n, Area de la Investigacion Cientifica, Ciudad
   Universitaria, Alcaldia Coyoacan, MEXICO CITY, DF, MEXICO
SN 0016-7169
EI 2954-436X
PD APR-JUN
PY 2015
VL 54
IS 2
BP 201
EP 208
SC Geochemistry & Geophysics
UT WOS:000351893000008
ER

PT J
AU Lyu, HM
   Shen, SL
   Yang, J
   Zhou, AN
AF Lyu, Hai-Min
   Shen, Shui-Long
   Yang, Jun
   Zhou, An-Nan
TI Risk Assessment of Earthquake-Triggered Geohazards Surrounding Wenchuan,
   China
SO NATURAL HAZARDS REVIEW
DT Article
DE Risk assessment; Wenchuan earthquake; Trapezoidal fuzzy analytical
   hierarchical process (FAHP); Geographic information system (GIS)
ID LANDSLIDES; SYSTEM; AREA
AB The great 2008 Wenchuan earthquake in China was a painful disaster. Accordingly, the management and mitigation of the risk of future earthquake-triggered geohazards remain a critical responsibility of local authorities. This case study assesses the risk of earthquake-triggered geohazards surrounding Wenchuan County using the analytical hierarchical process (AHP) and the trapezoidal fuzzy AHP (FAHP). The assessment results show that the regions with high-risk and very high-risk levels are distributed in the belt along the Longmenshan fault zone. Moreover, the percentages of high and very high-risk levels obtained from the trapezoidal FAHP are higher than those obtained from the original AHP. This comparison reveals that the trapezoidal FAHP provides a more reasonable assessment than the AHP. Further, the trapezoidal FAHP can capture the regions with high-risk and very high-risk levels. The results from the trapezoidal FAHP provide four choices that stakeholders can use to make decisions, which mitigates the biases that exist in the original AHP.
C1 [Lyu, Hai-Min] Shantou Univ, Coll Engn, Dept Civil & Environm Engn, Shantou 515063, Guangdong, Peoples R China.
   [Shen, Shui-Long] Shantou Univ, Coll Engn, Key Lab Intelligent Mfg Technol, Minist Educ, Shantou 515063, Guangdong, Peoples R China.
   [Yang, Jun] Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China.
   [Yang, Jun] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China.
   [Zhou, An-Nan] RMIT Univ, Sch Engn, Civil & Infrastruct Engn Discipline, Melbourne, Vic 3001, Australia.
C3 Shantou University; Shantou University; University of Hong Kong;
   Shanghai Jiao Tong University; Royal Melbourne Institute of Technology
   (RMIT)
RP Shen, SL (corresponding author), Shantou Univ, Coll Engn, Key Lab Intelligent Mfg Technol, Minist Educ, Shantou 515063, Guangdong, Peoples R China.
EM lvhaimin12@163.com; shensl@stu.edu.cn; junyang@hku.hk;
   annan.zhou@rmit.edu.au
TC 45
Z9 48
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
PD AUG 1
PY 2020
VL 21
IS 3
AR 05020007
DI 10.1061/(ASCE)NH.1527-6996.0000375
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
UT WOS:000542779900011
ER

PT J
AU Bai, SB
   Cheng, C
   Wang, J
   Thiebes, B
   Zhang, ZG
AF Bai Shi-biao
   Cheng Chen
   Wang Jian
   Thiebes, Benni
   Zhang Zhi-gang
TI Regional scale rainfall- and earthquake-triggered landslide
   susceptibility assessment in Wudu County, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Landslides; Susceptibility assessment; Earthquake; Wudu County; China
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; SPATIAL DATA; HAZARD; SEGMENT;
   MODEL
AB Wudu County in northwestern China frequently experiences large-scale landslide events. High-magnitude earthquakes and heavy rainfall events are the major triggering factors in the region. The aim of this research is to compare and combine landslide susceptibility assessments of rainfall-triggered and earthquake-triggered landslide events in the study area using Geographical Information System (GIS) and a logistic regression model. Two separate susceptibility maps were produced using inventories reflecting single landslide-triggering events, i.e., earthquakes and heavy rain storms. Two groups of landslides were utilized: one group containing all landslides triggered by extreme rainfall events between 1995 and 2003 and the other group containing slope failures caused by the 2008 Wenchuan earthquake. Subsequently, the individual maps were combined to illustrate the locations of maximum landslide probability. The use of the resulting three landslide susceptibility maps for landslide forecasting, spatial planning and for developing emergency response actions are discussed. The combined susceptibility map illustrates the total landslide susceptibility in the study area.
C1 [Bai Shi-biao; Cheng Chen; Wang Jian; Thiebes, Benni; Zhang Zhi-gang] Nanjing Normal Univ, Coll Geog Sci, Key Lab Virtual Geog Environm, Natl Educ Adm, Nanjing 210046, Jiangsu, Peoples R China.
C3 Nanjing Normal University
RP Wang, J (corresponding author), Nanjing Normal Univ, Coll Geog Sci, Key Lab Virtual Geog Environm, Natl Educ Adm, Nanjing 210046, Jiangsu, Peoples R China.
EM shibiaobai21@163.com; wangjian@njnu.edu.cn
TC 18
Z9 21
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2013
VL 10
IS 5
BP 743
EP 753
DI 10.1007/s11629-013-2432-z
SC Environmental Sciences & Ecology
UT WOS:000325070700005
ER

PT J
AU Wei, ZL
   Fan, XM
   Wang, XJ
   Huo, JK
   Yang, J
AF Wei, Zhen-lei
   Fan, Xuan-mei
   Wang, Xiao-jian
   Huo, Jing-kan
   Yang, Jie
TI Probabilistic rainfall thresholds of post-earthquake debris flows by
   integrating observed soil moisture content and calculated water runoff
SO LANDSLIDES
DT Article; Early Access
DE Post-earthquake debris flows; Probabilistic thresholds;
   Hydro-meteorological thresholds; Observed soil water content; Water
   runoff
ID WENCHUAN EARTHQUAKE; INITIATION; MODEL; LANDSLIDES; CATCHMENT
AB Empirical rainfall thresholds are widely used for debris flow early warning due to their simplicity, but they often produce false alarms by ignoring non-triggering rainfall uncertainty and hydrological processes. To address this, we propose probabilistic thresholds based on two years of in-situ monitoring data, incorporating observed soil moisture and calculated water runoff. To our knowledge, this is the first time that calculated water runoff has been used as a factor in generating probabilistic hydro-meteorological thresholds for debris flows. Our findings indicate that the probabilistic hydro-meteorological thresholds slightly outperform the probabilistic cumulative rainfall-duration (E-D) thresholds, with accuracy values improving from 0.92 to 0.94. Compared to the probabilistic hydro-meteorological thresholds derived from observed soil moisture content, those derived from calculated water runoff offer significant potential for improving early warning systems for post-earthquake debris flows, as calculated water runoff can be predicted in advance. We argue that the findings of this study provide valuable insights for enhancing the accuracy of post-earthquake debris flow prediction.
C1 [Wei, Zhen-lei; Fan, Xuan-mei; Wang, Xiao-jian; Huo, Jing-kan; Yang, Jie] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Wei, ZL; Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM weizhenlei@cdut.edu.cn; fxm_cdut@qq.com
TC 0
Z9 0
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD 2025 SEP 19
PY 2025
DI 10.1007/s10346-025-02623-7
EA SEP 2025
SC Engineering; Geology
UT WOS:001574617600001
ER

PT J
AU Zhao, ZH
   Sun, H
   Zhang, NX
   Xing, TH
   Cui, GH
   Lai, JX
   Liu, T
   Bai, YB
   He, HJ
AF Zhao, Zhi-Hong
   Sun, Hao
   Zhang, Nian-Xiao
   Xing, Tian-Hui
   Cui, Guan-Hua
   Lai, Jin-Xing
   Liu, Tong
   Bai, Yi-Bin
   He, Hai-Jun
TI Application of unmanned aerial vehicle tilt photography technology in
   geological hazard investigation in China
SO NATURAL HAZARDS
DT Article
DE Geological hazard investigation; UAV tilt photography technology;
   Orthoimage single-angle oblique photography; 3D modeling
ID WENCHUAN EARTHQUAKE; TUNNEL; MECHANICS; IMAGERY; UAV
AB A major threat is posed to both human society and the environment by geological hazards, necessitating the need for accurate and comprehensive investigation and application in this field. Traditional geological hazard monitoring technologies are not only inefficient, but also fail to accurately delineate affected areas and provide comprehensive disaster data sets, preventing researchers from conducting precise investigations, detection and prevention. Therefore, this article summarizes the application of oblique photography technology through examples, especially its application in the investigation of local geological disasters such as debris flows and landslides, and the use of orthogonal-based corrected single-view oblique photography technology in the investigation of regional geological disasters such as earthquakes. Through summary, it is found that compared with traditional methods, UAV oblique photography technology is more excellent in the accuracy of investigation, detection, prevention, terrain information identification and geological disaster risk factor analysis in geological disasters. UAV oblique photography technology plays a vital role in the investigation, detection and prevention of geological disasters due to its versatility, efficiency and accuracy. It can help create detailed maps and 3D models of terrain by capturing high-resolution images from multiple angles to help identify potential geohazards. It can also detect changes in landforms, vegetation or waterways to provide warning signs for landslides, sinkholes or provide early warning signals for potential geological hazards such as erosion. High-resolution imagery captured by drones allows rescuers to quickly assess impacts on infrastructure, settlements and natural resources, thereby facilitating the efficient allocation of resources for rescue and recovery efforts. Drone oblique photography technology significantly enhances the ability to investigate, detect and prevent geohazards by providing timely, detailed spatial information critical for informed decision-making and proactive disaster management. Additionally considering that drone oblique photography technology may be combined with artificial intelligence algorithms and virtual reality (VR) imaging technology in the future, this integration is expected to improve the efficiency and accuracy of geological disaster management, thus ensuring the safety of human life and property.
C1 [Zhao, Zhi-Hong; Zhang, Nian-Xiao] Changan Univ, Coll Transportat Engn, Xian 710064, Peoples R China.
   [Sun, Hao] Northwest Univ, Coll Urban & Environm Sci, Xian 710055, Peoples R China.
   [Xing, Tian-Hui] Changan Univ, Changan Dublin Int Coll Transportat, Xian 710064, Peoples R China.
   [Cui, Guan-Hua; Lai, Jin-Xing] Changan Univ, Sch Highway, Xian 710064, Peoples R China.
   [Liu, Tong; He, Hai-Jun] Xian Univ Architecture & Technol, Sch Sci, Xian 710055, Peoples R China.
   [Bai, Yi-Bin] Harbin Inst Technol, Sch Architecture, Harbin 150006, Peoples R China.
C3 Chang'an University; Northwest University Xi'an; Chang'an University;
   Chang'an University; Xi'an University of Architecture & Technology;
   Harbin Institute of Technology
RP Sun, H (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xian 710055, Peoples R China.; Lai, JX (corresponding author), Changan Univ, Sch Highway, Xian 710064, Peoples R China.
EM sunhao7572@nwu.edu.cn; laijinxing@chd.edu.cn
TC 23
Z9 24
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD OCT 1
PY 2024
VL 120
IS 13
BP 11547
EP 11578
DI 10.1007/s11069-024-06611-3
EA JUN 2024
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001251506500002
ER

PT J
AU Xiong, JN
   Liu, S
   Yang, YM
   Jia, HL
   Wang, ZG
AF Xiong, Junnan
   Liu, Shan
   Yang, Yanmei
   Jia, Hongliang
   Wang, Zegen
TI Quantitative Analysis the Influence of MS8.oWenchuan earthquake on the
   Microrelief Based on RS
SO DISASTER ADVANCES
DT Article
DE Whenchuan earthquake; Earthquake deformation; Remote sensing image;
   contourmap
AB The Ms8.0 Whenchuan Earthquake happened on May12,2008, because the mechanism of Longmen mountain central fracture walk sliding thrust, the earthquake formed a largercoseismic displacement and secondary disaster such as collapse, landslide and debris flow, all of which makesmicrorelief changed. In order to quantitatively describe the influence of Ms8.0Wenchuanearthqziakeon the microrelief we conductextraction plane coordinates and elevation of discrete point from remote sensing image after the earthquake, establishing digital elevation model (DEM,1:50000) and contour map of the same region before and after the earthquake,with using this data detected the surface vertical displacement of earthquake-stricken area,comparative analysisthelength and area change of the same contour before and after the earthquake. The experimental results show thatlength change rate of each contour has linear function relationship with contour length and elevation in Wenchuan earthquake surface deformation area, each change rateof closed contour area has linear function relationship with contour area and elevation. The results has great significance on revealing theinfluence of surface deformation to microrelief contour map update, reconstruction of geographic space infrastructure in Whenchuan earthquake area.
C1 [Xiong, Junnan; Liu, Shan; Yang, Yanmei; Jia, Hongliang; Wang, Zegen] Southwest Petr Univ, Coll Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China.
   [Xiong, Junnan] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
C3 Southwest Petroleum University; Chinese Academy of Sciences; Institute
   of Mountain Hazards & Environment, CAS
RP Xiong, JN (corresponding author), Southwest Petr Univ, Coll Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China.
EM neu_xjn@163.com
TC 1
Z9 1
PU DISASTER ADVANCES
PI INDORE
PA SECTOR AG-80, SCHEME NO 54, VIJAY NAGAR, A B RD, INDORE, 452010, INDIA
SN 0974-262X
EI 2278-4543
PD MAY
PY 2013
VL 6
SI 2
BP 65
EP 72
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000319630500009
ER

PT J
AU Fan, XM
   Xu, Q
   Scaringi, G
   Dai, LX
   Li, WL
   Dong, XJ
   Zhu, X
   Pei, XJ
   Dai, KR
   Havenith, HB
AF Fan, Xuanmei
   Xu, Qiang
   Scaringi, Gianvito
   Dai, Lanxin
   Li, Weile
   Dong, Xiujun
   Zhu, Xing
   Pei, Xiangjun
   Dai, Keren
   Havenith, Hans-Balder
TI Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo
   landslide, Maoxian, Sichuan, China
SO LANDSLIDES
DT Article
DE Rock avalanche; Landslide; Diexi earthquake; Failure mechanism; UAV and
   InSAR
ID EARTHQUAKE-INDUCED LANDSLIDES; WENCHUAN EARTHQUAKE; SOUTHWEST; DYNAMICS;
   FLOW
AB At 5:38 am on the 24th June, 2017, a catastrophic rock avalanche destroyed the whole village of Xinmo, in Maoxian County, Sichuan Province, China. About 4.3 million m(3) of rock detached from the crest of the mountain, gained momentum along a steep hillslope, entrained a large amount of pre-existing deposits, and hit the village at a velocity of 250 km/h. The impact produced a seismic shaking of ML = 2.3 magnitude. The sliding mass dammed the Songping gully with an accumulation body of 13 million m(3). The avalanche buried 64 houses; 10 people were killed and 73 were reported missing. The event raised great concerns both in China and worldwide. Extensive field investigation, satellite remote sensing, UAV aerial photography, and seismic analysis allowed to identify the main kinematic features, the dynamic process, and the triggering mechanism of the event. With the aid of ground-based synthetic aperture radar monitoring, the hazard deriving from potential further instabilities in the source area has been assessed. The preliminary results suggest that the landslide was triggered by the failure of a rock mass, which had been already weakened by the M-s 7.5 Diexi earthquake in 1933. Several major earthquakes since then, and the long-term effect of gravity and rainfall, contributed to the mass failure. The high elevation, slope angle, and vegetation cover in the source area hinder geological field investigation and make hazard assessment difficult. Nonetheless, monitoring and prevention of similar collapses in mountainous areas must be carried out to protect human lives and infrastructures. To this aim, the integrated use of modern high-precision observation technologies is strongly encouraged.
C1 [Fan, Xuanmei; Xu, Qiang; Scaringi, Gianvito; Dai, Lanxin; Li, Weile; Dong, Xiujun; Zhu, Xing; Pei, Xiangjun; Dai, Keren] Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
   [Havenith, Hans-Balder] Univ Liege, Dept Geol, Liege, Belgium.
C3 Chengdu University of Technology; University of Liege
RP Xu, Q (corresponding author), Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
EM xuqiang_68@126.com
TC 263
Z9 308
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2017
VL 14
IS 6
BP 2129
EP 2146
DI 10.1007/s10346-017-0907-7
SC Engineering; Geology
UT WOS:000416361600019
ER

PT J
AU Zhang, S
   Zhang, LM
AF Zhang, S.
   Zhang, L. M.
TI Impact of the 2008 Wenchuan earthquake in China on subsequent long-term
   debris flow activities in the epicentral area
SO GEOMORPHOLOGY
DT Article
DE Debris flow; Landslide; Slope stability; Wenchuan earthquake
ID RAINFALL-INDUCED LANDSLIDES; KASHMIR EARTHQUAKE; CONSEQUENCES;
   EVOLUTION; RISKS; RANGE
AB The 2008 Wenchuan earthquake triggered the largest number of landslides among the recent strong earthquake events around the world. The loose landslide materials were retained on steep terrains and deep gullies. In the period from 2008 to 2015, numerous debris flows occurred during rainstorms along the Provincial Road 303 (PR303) near the epicentre of the earthquake, causing serious damage to the reconstructed highway. Approximately 524 x 10(6) m(3) of debris-flow sediment was deposited shortly after the earthquake. This paper evaluates the evolution of the debris flows that occurred after the Wenchuan earthquake, which helps understand long-term landscape evolution and cascading effects in regions impacted by mega earthquakes. With the aid of a GIS platform combined with field investigations, we continuously tracked movements of the loose deposit materials in all the debris flow gullies along an 18 km reach of PR303 and the characteristics of the regional debris flows during several storms in the past seven years. This paper presents five important aspects of the evolution of debris flows: (1) supply of debris flow materials; (2) triggering rainfall; (3) initiation mechanisms and types of debris flows; (4) runout characteristics; and (5) elevated riverbed due to the deposited materials from the debris flows. The hillslope soil deposits gradually evolved into channel deposits and the solid materials in the channels moved towards the ravine mouth. Accordingly, channelized debris flows became dominant gradually. Due to the decreasing source material volume and changes in debris flow characteristics, the triggering rainfall tends to increase from 30 mm h(-1) in 2008 to 64 mm h(-1) in 2013, and the runout distance tends to decrease over time. The runout materials blocked the river and elevated the riverbed by at least 30 m in parts of the study area. The changes in the post-seismic debris flow activity can be categorized into three stages, i.e., active, unstable, and recession. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Zhang, S.; Zhang, L. M.] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
   [Zhang, S.] Technol & Higher Educ Inst Hong Kong, Fac Sci & Technol, Tsing Yi, Hong Kong, Peoples R China.
C3 Hong Kong University of Science & Technology
RP Zhang, LM (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
EM zhangs@ust.hk; cezhangl@ust.hk
TC 165
Z9 173
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD JAN 1
PY 2017
VL 276
BP 86
EP 103
DI 10.1016/j.geomorph.2016.10.009
SC Physical Geography; Geology
UT WOS:000388777800009
ER

PT J
AU Guo, HD
   Li, XW
   Zhang, L
AF Guo, Huadong
   Li, Xinwu
   Zhang, Lu
TI Study of detecting method with advanced airborne and spaceborne
   synthetic aperture radar data for collapsed urban buildings from the
   Wenchuan earthquake
SO JOURNAL OF APPLIED REMOTE SENSING
DT Article
DE earthquake; urban collapsed buildings; airborne and spaceborne SAR;
   high-resolution, multi-band and multi-polarization; polarimetry
ID SCATTERING MODEL; DECOMPOSITION; SHIFTS
AB The large 8.0 scale earthquake that occurred in Wenchuan, Sichuan province, China on May 12, 2008 caused huge damage to people's lives and property. Airborne and spaceborne remote sensing can be used accurately and effectively in almost real-time to monitor and assess earthquake disasters, providing an important scientific basis and decision-making support for government emergency command and post-disaster reconstruction. The high resolution, multi-band, multi-polarization, and full-polarization synthetic aperture radar (SAR) system and theories developed in recent years provide important data resources and the basic methodology for post-earthquake monitoring and evaluation. In this paper, the cities of Beichuan and Dujiangyan in the Wenchuan earthquake region are chosen as study sites. Using advanced high-resolution, multi-band, multi-polarization, and full-polarization SAR data, and applying urban building backscattering models and target backscattering and polarimetric target decomposition theory, the backscattering characteristics, polarimetric characteristics and texture features between collapsed and intact buildings post-earthquake are extensively compared and analyzed. Subsequently, a new SAR detection method for collapsed urban buildings is proposed from these characterizations. Preliminary results from comparisons between this method and high-resolution optical data show that the proposed method is effective and powerful in detecting collapsed urban buildings devastated by an earthquake.
C1 [Guo, Huadong; Li, Xinwu; Zhang, Lu] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Lab Digital Earth Sci, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences
RP Guo, HD (corresponding author), Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Lab Digital Earth Sci, 20A Datun Rd, Beijing 100101, Peoples R China.
EM hdguo@ceode.ac.cn
TC 10
Z9 17
PU SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
PI BELLINGHAM
PA 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
SN 1931-3195
PD MAY 26
PY 2009
VL 3
SI SI
AR 031695
DI 10.1117/1.3153902
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000271878700013
ER

PT J
AU Lissak, C
   Bartsch, A
   De Michele, M
   Gomez, C
   Maquaire, O
   Raucoules, D
   Roulland, T
AF Lissak, Candide
   Bartsch, Annett
   De Michele, Marcello
   Gomez, Christopher
   Maquaire, Olivier
   Raucoules, Daniel
   Roulland, Thomas
TI Remote Sensing for Assessing Landslides and Associated Hazards
SO SURVEYS IN GEOPHYSICS
DT Article
DE Landslide; Remote sensing; Machine learning; Monitoring; Inventory
ID FROM-MOTION PHOTOGRAMMETRY; EARTHQUAKE-INDUCED LANDSLIDES; SAR
   INTERFEROMETRY; LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE;
   NEURAL-NETWORKS; LASER SCANNER; 3 GORGES; GROUND DISPLACEMENTS; FORESTED
   LANDSLIDES
AB Multi-platform remote sensing using space-, airborne and ground-based sensors has become essential tools for landslide assessment and disaster-risk prevention. Over the last 30 years, the multiplicity of Earth Observation satellites mission ensures uninterrupted optical and radar imagery archives. With the popularization of Unmanned Aerial Vehicles, free optical and radar imagery with high revisiting time, ground and aerial possibilities to perform high-resolution 3D point clouds and derived digital elevation models, it can make it difficult to choose the appropriate method for risk assessment. The aim of this paper is to review the mainstream remote-sensing methods commonly employed for landslide assessment, as well as processing. The purpose is to understand how remote-sensing techniques can be useful for landslide hazard detection and monitoring taking into consideration several constraints such as field location or costs of surveys. First we focus on the suitability of terrestrial, aerial and spaceborne systems that have been widely used for landslide assessment to underline their benefits and drawbacks for data acquisition, processing and interpretation. Several examples of application are presented such as Interferometry Synthetic Aperture Radar (InSAR), lasergrammetry, Terrestrial Optical Photogrammetry. Some of these techniques are unsuitable for slow moving landslides, others limited to large areas and others to local investigations. It can be complicated to select the most appropriate system. Today, the key for understanding landslides is the complementarity of methods and the automation of the data processing. All the mentioned approaches can be coupled (from field monitoring to satellite images analysis) to improve risk management, and the real challenge is to improve automatic solution for landslide recognition and monitoring for the implementation of near real-time emergency systems.
C1 [Lissak, Candide; Maquaire, Olivier; Roulland, Thomas] Normandie Univ, UNICAEN, LETG, CNRS, F-14000 Caen, France.
   [Bartsch, Annett] Bgeos, Ind Str 1, A-2100 Korneuburg, Austria.
   [Bartsch, Annett] Univ Vienna, Austrian Polar Res Inst, Univ Str 7, A-1010 Vienna, Austria.
   [De Michele, Marcello; Raucoules, Daniel] French Geol Survey, BRGM, 3 Av Claude Guillemin, F-45000 Orleans, France.
   [Gomez, Christopher] Kobe Univ, Grad Sch Maritime Sci, Lab Sediment Hazards & Disaster Risk, Higashinada Ku, 5-1-1 Fukaeminamimachi, Kobe, Hyogo 6580022, Japan.
   [Gomez, Christopher] Univ Gadjah Mada, Fac Geog, Bulaksumur 55281, Yogyakarta, Indonesia.
C3 Centre National de la Recherche Scientifique (CNRS); Universite de Caen
   Normandie; University of Vienna; Bureau de Recherches Geologiques et
   Minieres (BRGM); Kobe University; Gadjah Mada University
RP Lissak, C (corresponding author), Normandie Univ, UNICAEN, LETG, CNRS, F-14000 Caen, France.
EM candide.lissak@unicaen.fr
TC 89
Z9 94
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 0169-3298
EI 1573-0956
PD NOV
PY 2020
VL 41
IS 6
SI SI
BP 1391
EP 1435
DI 10.1007/s10712-020-09609-1
EA SEP 2020
SC Geochemistry & Geophysics
UT WOS:000565834600002
ER

PT J
AU Chang, M
   Tang, C
   Zhang, DD
   Ma, GC
AF Chang Ming
   Tang Chuan
   Zhang Dan-dan
   Ma Guo-chao
TI Debris flow susceptibility assessment using a probabilistic approach: A
   case study in the Longchi area, Sichuan province, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Debris flow; Landslide; Probability; Susceptibility assessment; Grey
   correlation
ID EARTHQUAKE-TRIGGERED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE; HAZARD;
   IMPACT
AB The Longchi area with the city of Dujiangyan, in the Sichuan province of China, is composed of Permian stone and diorites and Triassic sandstones and mudstones intercalated with slates. An abundance of loose co-seismic materials were present on the slopes after the May 12, 2008 Wenchuan earthquake, which in later years served as source material for rainfall-induced debris flows or shallow landslides. A total of 48 debris flows, all triggered by heavy rainfall on 13th August 2010, are described in this paper. Field investigation, supported by remote sensing image interpretation, was conducted to interpret the co-seismic landslides in the debris flow gullies. Specific characteristics of the study area such as slope, aspect, elevation, channel gradient, lithology, and gully density were selected for the evaluation of debris flow susceptibility. A score was given to all the debris flow gullies based on the probability of debris flow occurrence for the selected factors. In order to get the contribution of the different factors, principal component analyses were applied. A comprehensive score was obtained for the 48 debris flow gullies which enabled us to make a susceptibility map for debris flows with three classes. Twenty-two gullies have a high susceptibility, twenty gullies show a moderate susceptibility and six gullies have a low susceptibility for debris flows.
C1 [Chang Ming; Tang Chuan; Zhang Dan-dan; Ma Guo-chao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pre, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pre, Chengdu 610059, Peoples R China.
EM changmxq@126.com; tangc707@gmail.com
TC 34
Z9 45
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUL
PY 2014
VL 11
IS 4
BP 1001
EP 1014
DI 10.1007/s11629-013-2747-9
SC Environmental Sciences & Ecology
UT WOS:000339377000017
ER

PT J
AU Dong, JJ
   Lai, PJ
   Chang, CP
   Yang, SH
   Yeh, KC
   Liao, JJ
   Pan, YW
AF Dong, Jia-Jyun
   Lai, Po-Jung
   Chang, Chung-Pai
   Yang, Sheng-Hsueh
   Yeh, Keh-Chia
   Liao, Jyh-Jong
   Pan, Yii-Wen
TI Deriving landslide dam geometry from remote sensing images for the rapid
   assessment of critical parameters related to dam-breach hazards
SO LANDSLIDES
DT Article
DE Landslide dam; Hazards; Remote sensing image; Digital terrain model
ID WENCHUAN EARTHQUAKE; HSIAOLIN VILLAGE; NEW-ZEALAND; FAILURE; TAIWAN
AB Dam-breaches that cause outburst floods may induce downstream hazards. Because landslide dams can breach soon after they are formed, it is critical to assess the stability quickly to enable prompt action. However, dam geometry, an essential component of hazard evaluation, is not available in most cases. Our research proposes a procedure that utilizes post-landslide orthorectified remote sensing images and the pre-landslide Digital Terrain Model in the Geographic Information System to estimate the geometry of a particular dam. The procedure includes the following three modules: (1) the selection of the reference points on the dam and lake boundaries, (2) the interpolation of the dam-crest elevation, and (3) the estimation of dam-geometry parameters (i.e., the height, length, and width), the catchment area, the volumes of barrier lake and landslides dam. This procedure is demonstrated through a case study of the Namasha Landslide Dam in Taiwan. It was shown the dam-surface elevation estimated from the proposed procedure can approximate the elevation derived from profile leveling after the formation of the landslide dam. Thus, it is feasible to assess the critical parameters required for the landslide dam hazard assessment rapidly once the ortho-photo data are available. The proposed procedure is useful for quick and efficient decision making regarding hazard mitigation.
C1 [Dong, Jia-Jyun; Lai, Po-Jung] Natl Cent Univ, Grad Inst Appl Geol, Tao Yuan 32001, Taiwan.
   [Chang, Chung-Pai] Natl Cent Univ, Ctr Space & Remote Sensing Res, Tao Yuan 32001, Taiwan.
   [Yang, Sheng-Hsueh; Yeh, Keh-Chia; Liao, Jyh-Jong; Pan, Yii-Wen] Natl Chiao Tung Univ, Disaster Prevent & Water Environm Res Ctr, Hsinchu, Taiwan.
C3 National Central University; National Central University; National Yang
   Ming Chiao Tung University
RP Dong, JJ (corresponding author), Natl Cent Univ, Grad Inst Appl Geol, 300 Jhongda Rd, Tao Yuan 32001, Taiwan.
EM jjdong@geo.ncu.edu.tw
TC 46
Z9 48
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD FEB
PY 2014
VL 11
IS 1
BP 93
EP 105
DI 10.1007/s10346-012-0375-z
SC Engineering; Geology
UT WOS:000331004000008
ER

PT J
AU Qi, Y
   Wu, LX
   Mao, WF
   Ding, YF
   He, M
AF Qi, Yuan
   Wu, Lixin
   Mao, Wenfei
   Ding, Yifan
   He, Miao
TI Discriminating Possible Causes of Microwave Brightness Temperature
   Positive Anomalies Related With May 2008 Wenchuan Earthquake Sequence
SO IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
DT Article
DE Dielectric constant; earthquake anomaly; microwave brightness
   temperature (MBT); positive hole; Quaternary; remote sensing
AB Based on the spatiotemporally weighted two-step method (STW-TSM), the spatiotemporal characteristics of the residual microwave brightness temperature (MBT) with the Mw7.9 Wenchuan earthquake on May 12, 2008 are revealed by satellite data from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) sensor. Two significant MBT positive anomalies are found to be exactly in spatial accordance with two geological Quaternary zones, and the detailed geometric information of the MBT positive anomaly is found to be correlated with the microwave frequencies. After eliminating other possible influential factors, including surface temperature, vegetation index, land-surface roughness, and surface soil moisture under the conditions of space, time, and magnitude, and according to the microwave radiative transfer model, the dielectric variation in the ground surface is suggested to be the primary contributor of the MBT positive anomaly. The positive-hole (P-hole) theory is applied to interpret the geological preference of the MBT positive anomalies through a chain process: crustal stress enhancing-P-hole producing and flowing down stress gradients-surface P-hole accumulating-dielectric constant decreasing-and microwave radiation increasing. The stress-resulting effect of the dielectric decrease on MBT the increase provides a novel mechanism for microwave remotesensing monitoring of crustal stress field alteration, earthquake preparation, and upcoming shocks. This research has a particular significance for searching potential georelations between the tectonic earthquake preparation and the abnormal satellite MBT.
C1 [Qi, Yuan; Wu, Lixin; Ding, Yifan; He, Miao] Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
   [Mao, Wenfei] Northeastern Univ, Coll Resources & Civil Engn, Shenyang 110819, Peoples R China.
C3 Central South University; Northeastern University - China
RP Wu, LX (corresponding author), Cent South Univ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
EM weloveqy@163.com; wulx66@csu.edu.cn; maowf2014@126.com;
   dyfzz2019@163.com; freyahe@csu.edu.cn
TC 26
Z9 31
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 0196-2892
EI 1558-0644
PD MAR
PY 2021
VL 59
IS 3
BP 1903
EP 1916
DI 10.1109/TGRS.2020.3004404
SC Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science
   & Photographic Technology
UT WOS:000622319000008
ER

PT J
AU Tanoli, JI
   Jehangir, A
   Qasim, M
   Rehman, MU
   Shah, STH
   Ali, M
   Jadoon, IAK
AF Tanoli, Javed Iqbal
   Jehangir, Adeel
   Qasim, Muhammad
   Rehman, Mohib ur
   Shah, Syed Tallataf Hussain
   Ali, Muhammad
   Jadoon, Ishtiaq Ahmad Khan
TI Application of bivariate statistical techniques for landslide
   susceptibility mapping: A case study in Kaghan Valley, NW Pakistan
SO GEOLOGICAL JOURNAL
DT Article
DE bivariate statistics; Information Value Method; Kaghan valley; landslide
   susceptibility; Landslide Numerical Risk Factor; North Pakistan;
   Statistical Index
ID 2005 KASHMIR EARTHQUAKE; REMOTE-SENSING DATA; LOGISTIC-REGRESSION;
   TRIGGERED LANDSLIDES; WENCHUAN EARTHQUAKE; FREQUENCY RATIO;
   RISK-ASSESSMENT; GIS; HAZARD; COLLISION
AB Landslides are dangerous events that threaten both human life and property. This research presents a case study of Kaghan valley catchment, which is an area of frequent landslide activity. We aim to present a comparison between the bivariate Landslide Numerical Risk Factor (LNRF), Statistical Index (SI) and Information Value (InfV) statistical models to evaluate landslide susceptibility. A total of 1556 landslides were identified using earlier reports, field surveys, and GOOGLE Earth imagery. The abundance of landslides is primarily controlled by acute deformation caused by a major thrust fault system and proximity to Hazara Kashmir Syntaxis (HKS). A landslide inventory was randomly partitioned into two datasets. 70% (1106) of landslides were used as a training phase of the models, whereas 30% (450) as validation of the three models. A spatial database of 11 conditioning factors was produced consisting of slope, aspect, elevation, lithology, land use, Topographic Wetness Index (TWI), rainfall, Stream Power Index (SPI), distance to faults, rivers and streams. All the landslide susceptibility assessment parameters were obtained from different sources and different landslide susceptibility maps were prepared on the GIS software. Performance of the three models was validated through the Receiver operator Characteristics (ROC) through success and prediction rate curves. Results show that the area under the ROC curve (AUC) for InfV, LNRF and SI models are 70.95, 83.99 and 67.56 for success rate curves and 70.75, 83.99 and 67.85 for prediction rate curves, respectively. LNRF having the highest AUC value proved to be superior for generating regional scale landslide susceptibility maps.
C1 [Tanoli, Javed Iqbal; Jehangir, Adeel; Qasim, Muhammad; Rehman, Mohib ur; Shah, Syed Tallataf Hussain; Ali, Muhammad; Jadoon, Ishtiaq Ahmad Khan] COMSATS Univ Islamabad, Dept Earth Sci, Abbottabad Campus, Abbottabad 22010, Pakistan.
C3 COMSATS University Islamabad (CUI)
RP Tanoli, JI (corresponding author), COMSATS Univ Islamabad, Dept Earth Sci, Abbottabad Campus, Abbottabad 22010, Pakistan.
EM javed_iqbal@cuiatd.edu.pk
TC 4
Z9 4
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0072-1050
EI 1099-1034
PD DEC
PY 2023
VL 58
IS 12
SI SI
BP 4576
EP 4595
DI 10.1002/gj.4836
EA JUL 2023
SC Geology
UT WOS:001028224100001
ER

PT J
AU Zheng, HY
   Liu, B
   Han, SY
   Fan, XY
   Zou, TY
   Zhou, ZL
   Gong, H
AF Zheng, Huangyuying
   Liu, Bin
   Han, Suyue
   Fan, Xinyue
   Zou, Tianyi
   Zhou, Zhongli
   Gong, Hao
TI Research on landslide hazard spatial prediction models based on deep
   neural networks: a case study of northwest Sichuan, China
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Wenchuan earthquake; Landslide hazard; DNN; Landslide spatial prediction
   modeling
ID LOGISTIC-REGRESSION; FREQUENCY RATIO; SUSCEPTIBILITY ASSESSMENT;
   CONDITIONAL-PROBABILITY; GEOCHEMICAL ANOMALIES; ENTROPY; INDEX;
   EVOLUTION; ZONATION; REGION
AB The Wenchuan earthquake in 2008 induced thousands of geological hazards. Among them, earthquake-induced landslides are extremely disastrous, causing considerable social and economic losses and damage to the ecology and environment. Therefore, it is of great significance to accurately predict the spatial distribution of earthquake-induced landslides. The research in this paper focuses on ten extremely earthquake-stricken areas of the Wenchuan earthquake; landslide hazard data are collected from the study areas, and the terrain information entropy, distance to rivers, distance to faults, distance to roads, lithology, normalized difference vegetation index (NDVI), peak ground acceleration (PGA) and other landslide conditioning factors are extracted. Combined with a deep neural network (DNN), a landslide hazard spatial prediction model is constructed. Through Dataset 1 and Dataset 2, which are generated randomly, the training dataset (70%) and the validation dataset (30%) are divided to verify the robustness and accuracy of the model, and the landslide susceptibility map of the study area is obtained. Moreover, considering the area under curve (AUC), the impacts of different conditioning factors on the landslide hazard prediction model are analyzed. The research results show that the DNN-based landslide hazard spatial prediction model (AUC(Mean) = 93.66%, Recall(Mean) = 85.70%) has a better prediction performance in the training step. From the validation step, the influences of various factors on the spatial prediction model of landslide hazards established in this paper (from high to low) are as follows: distance to faults, lithology, distance to rivers, PGA, terrain information entropy, NDVI, and distance to roads. The landslide hazard point data and landslide susceptibility map are highly consistent, indicating that the application of a deep learning algorithm in hazard susceptibility assessment is effective and can provide a scientific basis for landslide hazard early warning and disaster prevention and mitigation in mountainous areas prone to earthquake disasters.
C1 [Zheng, Huangyuying; Liu, Bin; Han, Suyue; Fan, Xinyue; Zhou, Zhongli] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
   [Liu, Bin; Zou, Tianyi; Zhou, Zhongli; Gong, Hao] Chengdu Univ Technol, Coll Math & Phys, Chengdu 610059, Peoples R China.
   [Liu, Bin; Han, Suyue; Fan, Xinyue; Zhou, Zhongli; Gong, Hao] Geomath Key Lab Sichuan Prov, Chengdu 610059, Peoples R China.
   [Zheng, Huangyuying] Chengdu Univ Informat Technol, Coll Culture & Arts, Chengdu 610225, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology;
   Chengdu University of Information Technology
RP Liu, B; Zhou, ZL (corresponding author), Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.; Liu, B; Zhou, ZL (corresponding author), Chengdu Univ Technol, Coll Math & Phys, Chengdu 610059, Peoples R China.; Liu, B; Zhou, ZL (corresponding author), Geomath Key Lab Sichuan Prov, Chengdu 610059, Peoples R China.
EM liubincim@163.com; zzl@cdut.edu.cn
TC 13
Z9 14
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD MAY
PY 2022
VL 81
IS 9
AR 258
DI 10.1007/s12665-022-10369-x
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000784984600001
ER

PT J
AU Xu, QA
   Zhang, SA
   Li, WL
AF Xu Qiang
   Zhang Shuai
   Li Weile
TI Spatial distribution of large-scale landslides induced by the 5.12
   Wenchuan Earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE 5.12 Wenchuan Earthquake; Landslides; Distribution pattern; Direction
   effect; Locked segment effect
AB The 5.12 Wenchuan Earthquake in 2008 induced hundreds of large-scale landslides. This paper systematically analyzes 112 large-scale landslides (surface area > 50000 m(2)), which were identified by interpretation of remote sensing imagery and field investigations. The analysis suggests that the distribution of large-scale landslides is affected by the following four factors: (a) distance effect: 80% of studied large-scale landslides are located within a distance of 5 km from the seismic faults. The farther the distance to the faults, the lower the number of large-scale landslides; (b) locked segment effect: the large-scale landslides are mainly located in five concentration zones closely related with the crossing, staggering and transfer sections between one seismic fault section and the next one, as well as the end of the NE fault section. The zone with the highest concentration was the Hongbai-Chaping segment, where a great number of large-scale landslides including the two largest landslides were located. The second highest concentration of large-scale landslides was observed in the Nanba-Donghekou segment at the end of NE fault, where the Donghekou landslide and the Woqian landslide occurred; (c) Hanging wall effect: about 70% of the large-scale landslides occurred on the hanging wall of the seismic faults; and (d) direction effect: in valleys perpendicular to the seismic faults, the density of large-scale landslides on the slopes facing the seismic wave is obviously higher than that on the slopes dipping in the same direction as the direction of propagation of the seismic wave. Meanwhile, it is found that the sliding and moving directions of large-scale landslides are related to the staggering direction of the faults in each section. In Qingchuan County where the main fault activity was horizontal twisting and staggering, a considerable number of landslides showed the feature of sliding and moving in NE direction which coincides with the staggering direction of the seismic faults.
C1 [Xu Qiang; Zhang Shuai; Li Weile] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Xu, QA (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM xuqiang_68@126.com
TC 87
Z9 105
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2011
VL 8
IS 2
BP 246
EP 260
DI 10.1007/s11629-011-2105-8
SC Environmental Sciences & Ecology
UT WOS:000289004600017
ER

PT J
AU Dai, FC
   Xu, C
   Yao, X
   Xu, L
   Tu, XB
   Gong, QM
AF Dai, F. C.
   Xu, C.
   Yao, X.
   Xu, L.
   Tu, X. B.
   Gong, Q. M.
TI Spatial distribution of landslides triggered by the 2008 Ms 8.0 Wenchuan
   earthquake, China
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article; Proceedings Paper
CT 13th Gondwana Conference on Wenchuan Earthquake
CY SEP 03-05, 2008
CL Dali, PEOPLES R CHINA
DE Wenchuan earthquake; Landslides; Spatial distribution; Landslide-point
   density; Landslide-area density
ID TIBETAN PLATEAU; 1994 NORTHRIDGE; PREFECTURE; CALIFORNIA; FREQUENCY;
   MAGNITUDE
AB The Ms 8.0 Wenchuan earthquake of May 12, 2008 is one of the most disastrous earthquakes in China. The earthquake triggered tens of thousands of landslides over a broad area, including shallow, disrupted landslides, rock falls, deep-seated landslides, and rock avalanches, some of which buried large sections of some towns and dammed the rivers. The purpose of this study is to investigate correlations between the occurrence of landslides with geologic and geomorphologic conditions, and seismic parameters. Over 56,000 earthquake-triggered landslides, with a total area of 811 km(2), are interpreted using aerial photographs and remote sensing images taken following the earthquake. The spatial distribution of these landslides is analyzed statistically using both landslide-point density (LPD), defined as the number of landslides per square kilometer, and landslide-area density (LAD), the percentage of the area affected by landslides, to determine how the occurrence of landslides correlates with distance from the epicenter, distance from the major surface rupture, seismic intensity and peak ground acceleration (PGA), slope angle, slope aspect, elevation, and lithology. It is found that both LAD and LPD have strong positive correlations with slope steepness, distance from the major surface rupture and seismic intensity, and that Pre-Sinian schist, and Cambrian sandstone and siltstone intercalated with slate have the most concentrated landslide activities, followed by the Permian limestone intercalated with shale, and Devonian limestone. Statistical analyses also indicate that the major surface rupture has influence on the spatial distribution of landslides, because LAD and LPD are relatively higher on the hanging wall than on the footwall. However, the correlation between the occurrence of landslides with distance from the epicenter of the earthquake is complicated, rather than a relatively simple negative correlation as found from other reported cases of earthquakes. This is possibly due to complicated rupture processes of the earthquake. (C) 2010 Elsevier Ltd. All rights reserved.
C1 [Dai, F. C.; Xu, C.; Xu, L.; Tu, X. B.] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Yao, X.] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Gong, Q. M.] Beijing Univ Technol, Coll Architecture & Civil Engn, Beijing 100022, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   China Geological Survey; Institute of Geomechanics, Chinese Academy of
   Geological Sciences; Chinese Academy of Geological Sciences; Beijing
   University of Technology
RP Dai, FC (corresponding author), Chinese Acad Sci, Inst Geol & Geophys, POB 9825, Beijing 100029, Peoples R China.
EM daifc@mail.iggcas.ac.cn
TC 512
Z9 624
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR 3
PY 2011
VL 40
IS 4
SI SI
BP 883
EP 895
DI 10.1016/j.jseaes.2010.04.010
SC Geology
UT WOS:000287950800008
ER

PT J
AU Xu, YR
   Du, P
   Li, WQ
   Zhang, WH
   Tian, QJ
   Xiong, RW
   Wang, L
AF Xu YueRen
   Du Peng
   Li WenQiao
   Zhang WeiHeng
   Tian QinJian
   Xiong RenWei
   Wang Lin
TI A case study on AD 1718 Tongwei M7. 5 earthquake triggered
   landslides Application of landslide database triggered by historical
   strong earthquakes on the Loess Plateau
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE AD 1718 Tongwei earthquake; Earthquake triggered landslides; Loess
   Plateau; Remote sensing Interpretation; Google Earth
ID 2008 WENCHUAN EARTHQUAKE; HAZARDS; EROSION
AB The application of new technologies and methods to study the seismogenic faults and seismic damage of historical strong earthquakes is important for revision of the earthquake source parameters. Under the geological principle of "The present is the key of the past", this paper takes the landslides triggered by the Tongwei M7. 5 earthquake in AD 1718 as the research object, using the methods of the historical literature analysis, remote sensing interpretation and fieldwork, obtains the Tongwei Earthquake Landslide Database (TELD). This paper finds that: (1) The total number of the database is 5019, with the whole area of 635 km(2), where densely distributed around the Tongwei Fault and coincided with the X-degree isoseismal line, but both extend to westward and to northward about 20 km; (2) compared with the 2008 Wenchuan Earthquake Landslide Database (WELD), the TELD lacks a large number of ones with area range of 10(3) similar to 10(4) m(2), even <10(3) m(2), while the ones of >10(4) m(2) range both with a similar distribution; (3) this "incomplete" TELD can reflect the overall characteristics of the large and medium-sized landslides in the epicentral region, and define the exact range of the epicentral region ; (4) in the epicentral region, at least 27 of settlements are directly named by "landsliding" etc., these residential settlements affected by landsliding are concentrated on both sides of the Tongwei Fault, which account for 50%. The earthquake triggered landslides is one of the decisive catastrophic factors that caused more than 70000 people death. Our paper shows that only confirming the regional dense landslides triggered by a single historical strong earthquake, and excluding other far-field strong shocking, using the multitemporal high-resolution satellite images interpretation to obtain a "relatively complete" landslide database. It provides basic data for revising source parameters of historical strong earthquakes around Loess Plateau in China.
C1 [Xu YueRen; Du Peng; Li WenQiao; Zhang WeiHeng; Tian QinJian; Xiong RenWei; Wang Lin] China Earthquake Adm, Inst Earthquake Forecasting, Key Lab Earthquake Predict, Beijing 100036, Peoples R China.
   [Zhang WeiHeng] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Earthquake Forecasting,
   CEA; China Earthquake Administration; Institute of Geology, CEA
RP Li, WQ (corresponding author), China Earthquake Adm, Inst Earthquake Forecasting, Key Lab Earthquake Predict, Beijing 100036, Peoples R China.
EM yuefei189@gmail.com; 88167354@qq.com
TC 16
Z9 28
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD MAR
PY 2020
VL 63
IS 3
BP 1235
EP 1248
DI 10.6038/cjg2020N0146
SC Geochemistry & Geophysics
UT WOS:000519847700034
ER

PT J
AU Li, JW
   Böse, M
   Wyss, M
   Wald, DJ
   Hutchison, AA
   Clinton, JF
   Wu, ZL
   Jiang, CS
   Zhou, SY
AF Li, Jiawei
   Bose, Maren
   Wyss, Max
   Wald, David J.
   Hutchison, Allie A.
   Clinton, John F.
   Wu, Zhongliang
   Jiang, Changsheng
   Zhou, Shiyong
TI Estimating Rupture Dimensions of Three Major Earthquakes in Sichuan,
   China, for Early Warning and Rapid Loss Estimates
SO BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
DT Article
ID HIGH-RATE GPS; REAL-TIME; STRONG-MOTION; MAGNITUDE ESTIMATION; WENCHUAN
   EARTHQUAKE; LUSHAN EARTHQUAKE; DETECTOR FINDER; SYSTEM; RELOCATION;
   LENGTH
AB Large earthquakes, such as Wenchuan in 2008, M-w 7.9, Sichuan, China, provide an opportunity for earthquake early warning (EEW), as many heavily shaken areas are far (similar to 50 km) from the epicenter and warning times could be sufficient (>= 5 s) to take preventive action. On the other hand, earthquakes with magnitudes larger than similar to M 6.5 are challenging for EEW because source dimensions need to be defined to adequately estimate shaking. Finite-fault rupture detector (FinDer) is an approach to identify fault rupture extents from real-time seismic records. In this study, we playback local and regional onscale strongmotion waveforms of the 2008 M-w 7.9 Wenchuan, 2013 M-w 6.6 Lushan, and 2017 M-w 6.5 Jiuzhaigou earthquakes to study the performance of FinDer for the current layout of the China Strong Motion Network. Overall, the FinDer line-source models agree well with the observed spatial distribution of aftershocks and models determined from waveform inversion. However, because FinDer models are constructed to characterize seismic ground motions (as needed for EEW) instead of source parameters, the rupture length can be overestimated for events radiating high levels of high-frequency motions. If the strong-motion data used had been available in real time, 50%-80% of sites experiencing intensity modified Mercalli intensity IV-VII (light to very strong) and 30% experiencing VIII-IX (severe to violent) could have been issued a warning with 10 and 5 s, respectively, before the arrival of the S wave. We also show that loss estimates based on the FinDer line source are more accurate compared to point-source models. For the Wenchuan earthquake, for example, they predict a four to six times larger number of fatalities and injured, which is consistent with official reports. These losses could be provided 1/2 similar to 3 hr faster than if they were based on more complex inversion rupture models.
C1 [Li, Jiawei; Jiang, Changsheng] China Earthquake Adm, Inst Geophys, Beijing, Peoples R China.
   [Li, Jiawei; Zhou, Shiyong] Peking Univ, Sch Earth & Space Sci, Beijing, Peoples R China.
   [Li, Jiawei; Bose, Maren; Hutchison, Allie A.; Clinton, John F.] Swiss Fed Inst Technol, Swiss Fed Inst Technol Zurich, Swiss Seismol Serv, Zurich, Switzerland.
   [Wyss, Max] Int Ctr Earth Simulat Fdn, Geneva, Switzerland.
   [Wald, David J.] US Geol Survey, Box 25046, Denver, CO 80225 USA.
   [Hutchison, Allie A.] IFSTTAR, Paris, France.
   [Wu, Zhongliang] China Earthquake Adm, Inst Earthquake Forecasting, Beijing, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA; Peking
   University; Swiss Federal Institutes of Technology Domain; ETH Zurich;
   United States Department of the Interior; United States Geological
   Survey; Universite Gustave-Eiffel; China Earthquake Administration;
   Institute of Earthquake Forecasting, CEA
RP Böse, M (corresponding author), Swiss Fed Inst Technol, Swiss Fed Inst Technol Zurich, Swiss Seismol Serv, Zurich, Switzerland.
EM mboese@sed.ethz.ch
TC 14
Z9 15
PU SEISMOLOGICAL SOC AMER
PI ALBANY
PA 400 EVELYN AVE, SUITE 201, ALBANY, CA 94706-1375 USA
SN 0037-1106
EI 1943-3573
PD APR
PY 2020
VL 110
IS 2
BP 920
EP 936
DI 10.1785/0120190117
SC Geochemistry & Geophysics
UT WOS:000522398700035
ER

PT J
AU Ni, HY
   Zheng, WM
   Tie, YB
   Su, PC
   Tang, YQ
   Xu, RG
   Wang, DW
   Chen, XY
AF Ni, H. Y.
   Zheng, W. M.
   Tie, Y. B.
   Su, P. C.
   Tang, Y. Q.
   Xu, R. G.
   Wang, D. W.
   Chen, X. Y.
TI Formation and characteristics of post-earthquake debris flow: a case
   study from Wenjia gully in Mianzhu, Sichuan, SW China
SO NATURAL HAZARDS
DT Article
DE Wenchuan earthquake; Wenjia gully; Debris flow; Formation mechanism;
   Characteristic
ID WENCHUAN EARTHQUAKE; RAINFALL INTENSITY; SHALLOW LANDSLIDES; DURATION
   CONTROL; RANGE
AB During the three flood seasons following the Wenchuan earthquake in 2008, two catastrophic groups of debris flow events occurred in the earthquake-affected area: the 2008-9-24 debris flow events, which had a serious impact on rebuilding; and the 2010-8-13/14 debris flow events, which destroyed much of the progress made in rebuilding. The Wenjia gully is a typical post-earthquake debris flow gully and at least five debris flows have occurred there. As far as the 2010-8-13 debris flow is concerned, the deposits of the Wenjia gully debris flow reached a volume of 3.1 x 10(6) m(3) in volume and hundreds of newly built houses were buried. This study took the Wenjia gully debris flow as an example and discussed the formation and characteristics of post-earthquake debris flow on the basis of field investigations and a remote sensing interpretation. The conclusions drawn from the investigation and analysis were as follows: (1) Post-earthquake debris flows were a joint result of both the earthquake and heavy rainfall. (2) Gully incision and loose material provision are key processes in the initiation and occurrence of debris flows and a cycle can be presented as the following process: runoff-erosion-collapse-engulfment-debris flow-further erosion-further collapse-further engulfment-debris flow enlargement. (3) The amount of rainfall that triggered debris flows from the Wenjia gully was significantly less than the average daily rainfall, while the intraday rainfall threshold decreased by at least 23.3%. (4) The occurrence mechanism of Wenjia gully debris flow was an erosion type and there was a positive relationship between debris flow magnitude and rainfall, which fitted an exponential model. (5) There were five representative characteristics of Wenjia gully debris flow: the long duration of the occurring process; the long distance of deposition chain conversion during the process of damage; magnification in the scale of debris flow; and the high frequency of debris flow events.
C1 [Ni, H. Y.; Zheng, W. M.; Tie, Y. B.; Tang, Y. Q.; Xu, R. G.; Wang, D. W.; Chen, X. Y.] China Geol Survey, Chengdu Inst Geol & Mineral Resources, Chengdu 610081, Peoples R China.
   [Su, P. C.] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
C3 China Geological Survey; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS
RP Ni, HY (corresponding author), China Geol Survey, Chengdu Inst Geol & Mineral Resources, Chengdu 610081, Peoples R China.
EM nihuayong@126.com
TC 40
Z9 47
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD MAR
PY 2012
VL 61
IS 2
BP 317
EP 335
DI 10.1007/s11069-011-9914-5
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000299955600002
ER

PT J
AU Wei, FQ
   Chernomorets, S
   Aristov, K
   Petrakov, D
   Tutubalina, O
   Su, PC
   Jiang, YH
   Xu, AS
   Petrasov, A
AF Wei Fangqiang
   Chernomorets, Sergey
   Aristov, Konstantin
   Petrakov, Dmitry
   Tutubalina, Olga
   Su Pengcheng
   Jiang Yuhong
   Xu Aisong
   Petrasov, Alexey
TI A Seismically triggered landslide in the Niujuan valley near the
   epicenter of the 2008 Wenchuan earthquake
SO JOURNAL OF EARTH SCIENCE
DT Article
DE Wenchuan earthquake; landslide; debris flow; debris avalanche
ID SICHUAN PROVINCE; CHINA
AB The Wenchuan (ae +/- a center dot e) earthquake on 12 May 2008 induced a large number of landslides, collapses, and rockfalls along the Longmenshan (e3/4 (TM) eua +/-+/-) fault. The landslide in Niujuan (c parts per thousand > ae) Valley (named Niujuan landslide), close to the epicenter, is one that travelled a long distance with damaging consequences. Using QuickBird satellite images and GIS tools, the seismogenic mass movements are analyzed, and the movement phases, travel path, and post-catastrophic processes of Niujuan landslide are described and discussed. Image interpretation and a GPS survey showed that the mass movements denuded 37% of the research area. The Niujuan landslide moved 1 950 m along the Lianhuaxingou (eZ(2)eS +/- a integral ae(2)Y) stream, transformed to a debris avalanche, and accumulated in the downstream bed of Niujuan Valley, where they formed a dam 30 m in height, blocking the Niujuan stream and creating a barrier lake basin with 0.11 million m3 storage capacity. Subsequent to the Niujuan landslide, debris flows have been more active in Lianhuaxingou and Niujuan valleys because of the accumulated mass of debris.
C1 [Wei Fangqiang] Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
   [Wei Fangqiang; Su Pengcheng; Jiang Yuhong; Xu Aisong] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Chernomorets, Sergey; Aristov, Konstantin; Petrakov, Dmitry; Tutubalina, Olga; Petrasov, Alexey] Moscow MV Lomonosov State Univ, Fac Geog, Moscow, Russia.
   [Petrasov, Alexey] Russian Acad Sci, Sergeev Inst Environm Geosci, Moscow, Russia.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Lomonosov Moscow State University;
   Russian Academy of Sciences; Sergeev Institute of Environmental
   Geoscience
RP Wei, FQ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
EM fqwei@imde.ac.cn
TC 8
Z9 11
PU CHINA UNIV GEOSCIENCES
PI WUHAN
PA YUJIASHAN, WUHAN, PEOPLES R CHINA
SN 1674-487X
PD DEC
PY 2010
VL 21
IS 6
BP 901
EP 909
DI 10.1007/s12583-010-0143-8
SC Geology
UT WOS:000284904700012
ER

PT J
AU Li, HL
   Li, DH
   Li, T
   Qiao, Q
   Yang, J
   Zhang, HM
AF Li, Hailong
   Li, Dihua
   Li, Ting
   Qiao, Qing
   Yang, Jian
   Zhang, Hemin
TI Application of least-cost path model to identify a giant panda dispersal
   corridor network after the Wenchuan earthquake-Case study of Wolong
   Nature Reserve in China
SO ECOLOGICAL MODELLING
DT Article
DE Giant panda; Wildlife corridor; Nature reserve; Least-cost path; GIS
ID PROTECTED AREAS; LANDSCAPE; HABITAT; CONSERVATION; FRAGMENTATION; NORTH;
   BIRDS; SOUTH
AB With growing levels of human-activity and frequent natural disturbances throughout the world, it is increasingly important that both research and management efforts take into account the widespread landscape fragmentation and its consequences for biodiversity conservation. The magnitude 5.12 Wenchuan earthquake in China caused dramatic impacts on giant panda (Ailuropoda melanoleuca) habitat in the nature reserves within Minshan and Qionglai mountains. With the combined stresses of the natural disaster and the extensive human activities during postquake reconstruction, giant panda habitat in this region may become more fragmented in the future. In order to preserve the giant panda population after the earthquake and protect the species against habitat fragmentation, this article explores a method of identifying giant panda migration corridors involving habitat suitability assessments and a least-cost path model. Focusing on postquake Wolong Nature Reserve, our results demonstrate that it contains 430.3 km(2) of suitable habitat (21.1% of total area), 463.8 km(2) of marginally suitable habitat (22.8%) and 1141.9 km(2) of unsuitable habitat (50.1%). We further show that several giant panda dispersal corridors exist in the reserve, including four corridor groups that cross the provincial highway and five corridors that do not intersect areas of human activity. This study will contribute to management and conservation efforts in Wolong Nature Reserve and beyond after the Wenchuan earthquake. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.
C1 [Li, Hailong; Li, Dihua; Li, Ting; Qiao, Qing] Peking Univ, Grad Sch Landscape Architecture, Beijing 100871, Peoples R China.
   [Yang, Jian; Zhang, Hemin] Wolong Nat Reserve, Giant Panda Res Ctr China, Wenchuan Cty 623006, Sichuan Prov, Peoples R China.
C3 Peking University
RP Li, DH (corresponding author), Peking Univ, Grad Sch Landscape Architecture, Room 3147,2nd Yifu Bldg,5 Yihayuan Rd, Beijing 100871, Peoples R China.
EM dihuali@pku.edu.cn
TC 83
Z9 110
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0304-3800
EI 1872-7026
PD MAR 24
PY 2010
VL 221
IS 6
BP 944
EP 952
DI 10.1016/j.ecolmodel.2009.12.006
SC Environmental Sciences & Ecology
UT WOS:000275632800008
ER

PT J
AU Wen, HJ
   Xie, P
   Xiao, P
   Hu, DP
AF Wen, Haijia
   Xie, Peng
   Xiao, Peng
   Hu, Dongping
TI Rapid susceptibility mapping of earthquake-triggered slope geohazards in
   Lushan County by combining remote sensing with the AHP model developed
   for the Wenchuan earthquake
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Susceptibility mapping; Slope geohazards; Remote sensing; Geospatial
   data; AHP model
ID LOGISTIC-REGRESSION MODEL; LANDSLIDE SUSCEPTIBILITY; HAZARD;
   VULNERABILITY; PREDICTION; INVENTORY
AB A rapid-response mapping model can be used to study the susceptibility of areas of interest to geohazards (which are commonly regarded as among the most damaging natural hazards), assuming that the model is stable (i.e., that it is generally applicable to any such area). Applying a predefined predictive geohazard-susceptibility model to an area with geoenvironmental conditions similar to those of the area for which it was originally formulated is an effective method of testing the stability of the model. In this paper, the analytic hierarchy process (AHP)-based model developed for the Wenchuan earthquake was used to study susceptibility to earthquake-triggered slope geohazards in Lushan County. Upon integrating the results of a literature review, site investigation, and remote sensing interpretation, seven main factors that influence earthquake-triggered slope geohazards were identified, including peak ground acceleration, distance from a stream, distance from a highway, slope gradient, slope position, normalized difference vegetation index, and micro-landform. In order to reduce the subjectivity of the expert evaluation method usually applied in the AHP, these factors were ranked by relative importance using regression analysis. The weight of each factor was then calculated by the AHP. The susceptibility mapping model was obtained on the ArcGIS platform, utilizing map overlaying. Finally, the results were re-classified to obtain a map of slope geohazard susceptibility. The accuracy of the AHP model was evaluated using both qualitative and quantitative methods. In the qualitative method, the modeled distribution of susceptibility was compared with the actually distribution of geohazards in the study area (identified through remote sensing interpretation), and the areas with high and very high geohazard susceptibilities in the model were found to match well with the actual locations of slope geohazards. In the quantitative method, statistical data showed that over 66% of the geohazards were located in areas of high or very high susceptibility according to the model, while only about 16% were located in areas of very low or low susceptibility, and the density of slope geohazards was about 125 times greater in the areas with very high susceptibility than in the areas with very low susceptibility. Also, the AUC value of the ROC curve for the model suggested that it has high predictive power (a predictive accuracy of 84.8%). In conclusion, it was possible to make accurate predictions about the slope geohazards in earthquake-prone areas located in mountainous regions based on geospatial data, and a high correlation between the susceptibility map generated by the AHP-based model and the true distribution of slope geohazards was observed. Therefore, the AHP-based model used here could be applied to map the slope geohazard susceptibility in other mountainous regions which may be prone to slope geohazards during earthquakes.
C1 [Wen, Haijia; Xie, Peng; Xiao, Peng; Hu, Dongping] Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China.
   [Wen, Haijia; Xie, Peng; Xiao, Peng; Hu, Dongping] Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China.
C3 Chongqing University; Chongqing University
RP Wen, HJ (corresponding author), Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing 400045, Peoples R China.; Wen, HJ (corresponding author), Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China.
EM 32943982@qq.com
TC 16
Z9 20
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD AUG
PY 2017
VL 76
IS 3
BP 909
EP 921
DI 10.1007/s10064-016-0957-4
SC Engineering; Geology
UT WOS:000407347000007
ER

PT J
AU Pei, XJ
   Jiang, T
   Cui, SH
   Guo, B
   Liang, J
AF Pei, Xiangjun
   Jiang, Tao
   Cui, Shenghua
   Guo, Bin
   Liang, Jing
TI In-situ testing for characterizing the landslide deposit in
   Jiuzhaigou cultural heritage site after the 2017 earthquake
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE Jiuzhaigou cultural heritage site; landslide; ecological geological
   environment; debris flow; site scour test
ID DEBRIS-FLOW; WENCHUAN EARTHQUAKE; FLUME TESTS; INITIATION; RAINFALL;
   SICHUAN; POSTEARTHQUAKE; MECHANISMS; CHINA; ENVIRONMENT
AB The 2017 Jiuzhaigou earthquake caused numerous landslide masses in the Jiuzhaigou cultural heritage site, leading to frequent surface mass movements and affecting the hydrological landscape. This was the first time a strong earthquake hit the heritage site in China, making it an important area for ecological geological environment protection and restoration research. To understand the influence of slope runoff erosion on the activation of landslide accumulations, this study examined remote sensing images from 2017 to 2020 to investigate the geological disaster, while field scour tests were conducted to study the rainfall seepage, mass erosion, and migration.The results indicated that the steep-sloped landslide deposits in the heritage site contain a high content of fine grains and good permeability.
C1 [Pei, Xiangjun; Jiang, Tao; Cui, Shenghua; Guo, Bin; Liang, Jing] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu, Peoples R China.
C3 Chengdu University of Technology
RP Jiang, T; Cui, SH (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu, Peoples R China.
EM jiang_tao@stu.cdut.edu.cn; cuishenghua18@cdut.edu.cn
TC 0
Z9 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD AUG 7
PY 2023
VL 11
AR 1232278
DI 10.3389/feart.2023.1232278
SC Geology
UT WOS:001051620000001
ER

PT J
AU Fan, J
   Wang, WH
   Cai, JL
   Wu, ZH
   Wang, XM
   Feng, H
   Yao, YT
   Xiang, HY
   Luo, XL
AF Fan, Jing
   Wang, Weihong
   Cai, Jialun
   Wu, Zhouhang
   Wang, Xiaomeng
   Feng, Hui
   Yao, Yitong
   Xiang, Hongyao
   Luo, Xinlong
TI Deformation Monitoring and Analysis of Beichuan National Earthquake
   Ruins Museum Based on Time Series InSAR Processing
SO REMOTE SENSING
DT Article
DE time series InSAR; deformation monitoring; unstable slopes; earthquake
   ruins
ID SURFACE DEFORMATION; WENCHUAN EARTHQUAKE; DINSAR TECHNIQUE; PS-INSAR;
   AREA; LANDSLIDES; SUBSIDENCE; ALGORITHM; CHINA; GPS
AB Since the Wenchuan earthquake in 2008, Old Beichuan County-town has experienced significant subsidence due to the disruption of the geological environment and the concurrent increase in precipitation. The ongoing land surface deformation poses a threat to the preservation and utilization of the Beichuan National Earthquake Ruins Museum (BNERM), as well as to the safety of urban residents' lives. However, the evolutionary characteristics of surface deformation in these areas remain largely unexplored. Here, we focused on the BNERM control zone and employed the small-baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technique to accurately measure land surface deformation and its spatiotemporal changes. Subsequently, we integrated this data with land cover types and precipitation to investigate the driving factors of deformation. The results indicate a slight overall elevation increase in the study area from June 2015 to May 2023, with deformation rates varying between -35.2 mm/year and 22.9 mm/year. Additionally, four unstable slopes were identified within the BNERM control zone. Our analysis indicates that surface deformation in the study area is closely linked to changes in land cover types and precipitation, exhibiting a seasonal cumulative pattern, and active geological activity may also be a cause of deformation. This study provides invaluable insights into the surface deformation characteristics of the BNERM and can serve as a scientific foundation for the protection of earthquake ruins, risk assessment, early warning, and disaster prevention measures.
C1 [Fan, Jing; Wang, Weihong; Cai, Jialun; Wu, Zhouhang; Wang, Xiaomeng; Feng, Hui; Yao, Yitong; Luo, Xinlong] Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China.
   [Wang, Weihong; Cai, Jialun] Natl Remote Sensing Ctr China, Mianyang Sci & Technol City Div, Mianyang 621010, Peoples R China.
   [Xiang, Hongyao] Southwest Univ Sci & Technol, Sch Civil Engn & Architecture, Mianyang 621010, Peoples R China.
C3 Southwest University of Science & Technology - China; Southwest
   University of Science & Technology - China
RP Wang, WH (corresponding author), Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China.; Wang, WH (corresponding author), Natl Remote Sensing Ctr China, Mianyang Sci & Technol City Div, Mianyang 621010, Peoples R China.
EM fanjing@mails.swust.edu.cn; wangweihong@swust.edu.cn;
   caijialun@my.swjtu.edu.cn; shouyeren@mails.swust.edu.cn;
   wangxiaomeng@mails.swust.edu.cn; fhyyds@mails.swust.edu.cn;
   yaoyitong@mails.swust.edu.cn; xianghongyao@mails.swust.edu.cn;
   18081180740@mails.swust.edu.cn
TC 0
Z9 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD NOV
PY 2024
VL 16
IS 22
AR 4249
DI 10.3390/rs16224249
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001366058000001
ER

PT J
AU Zhang, XZ
   Tang, CX
   Li, N
   Xiong, J
   Chen, M
   Li, MW
   Tang, C
AF Zhang, Xianzheng
   Tang, Chenxiao
   Li, Ning
   Xiong, Jiang
   Chen, Ming
   Li, Mingwei
   Tang, Chuan
TI Investigation of the 2019 Wenchuan County debris flow disaster suggests
   nonuniform spatial and temporal post-seismic debris flow evolution
   patterns
SO LANDSLIDES
DT Article
DE Wenchuan earthquake; Debris flow; Landslide; Post-seismic landslide
   evolution
ID MASS MOVEMENTS; EARTHQUAKE; LANDSLIDE; IMPACT; RIVER; SEDIMENT; AREA
AB It is widely recognized that post-seismic mass movements amplify and decay. Previous studies have found that most post-seismic mass movement is concentrated in the first few years following an earthquake. A major debris flow occurred in Wenchuan County in 2019, 11 years after the 2008 Wenchuan earthquake, showing that there might be a different temporal evolution pattern. In Wenchuan Country, the area struck by the 2019 disaster was investigated to explore whether a pattern existed. Remote sensing and field surveys investigate the initiation processes, sediment supply, and triggering rainfall. The result shows that most of the active landslides occurred in high-elevation areas where vegetation cover was lacking, and nearly half of them were reactivated landslides. The debris flows were mainly initiated by run-off erosion of debris in steep channels, and more than half of the sediment supply was from deposition along the channels in some catchments. The spatial and temporal evolution of debris flows was analyzed by combining our investigation results with historical events. More debris flows occurred in the northern part of the study area, where the relative annual rainfall and coseismic landslide density were low. The average values of debris-active catchments' size and relief are increasing, while the average values of their coseismic landslide density and the annual rainfall received were decreasing from 2008 to 2019. Larger catchments receiving less annual rainfall tend to have a more prolonged and enhanced mass movement.
C1 [Zhang, Xianzheng; Xiong, Jiang; Chen, Ming; Li, Mingwei; Tang, Chuan] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
   [Tang, Chenxiao] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Sichuan, Peoples R China.
   [Li, Ning] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Sichuan, Peoples R China.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Institute
   of Mountain Hazards & Environment, CAS; Xihua University
RP Zhang, XZ (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM xianzheng.zhang@qq.com; c.tang@imde.ac.cn
TC 22
Z9 28
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD AUG
PY 2022
VL 19
IS 8
BP 1935
EP 1956
DI 10.1007/s10346-022-01896-6
EA MAY 2022
SC Engineering; Geology
UT WOS:000796832300001
ER

PT J
AU Yang, ZH
   Lan, HX
   Gao, X
   Li, LP
   Meng, YS
   Wu, YM
AF Yang, Zhi-hua
   Lan, Heng-Xing
   Gao, Xing
   Li, Lang-ping
   Meng, Yun-shan
   Wu, Yu-ming
TI Urgent landslide susceptibility assessment in the 2013 Lushan
   earthquake-impacted area, Sichuan Province, China
SO NATURAL HAZARDS
DT Article
DE Lushan earthquake; Landslide susceptibility; GIS; Factor sensitivity
   analysis; AHP; Factor-weighted overlay
ID LOGISTIC-REGRESSION MODEL; 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR
   MACHINE; FREQUENCY RATIO; DEMPSTER-SHAFER; RISK-ASSESSMENT; GIS; HAZARD;
   BEICHUAN; PROBABILITY
AB The Lushan earthquake with magnitude M (s) 7.0 (M (w) 6.6, USGS) in Sichuan Province, China, triggered a large number of landslides, which seriously aggravated the earthquake's destructive consequences. This paper mainly focuses on the methodology of the urgent landslide susceptibility assessment right after the earthquake. The detailed landslide inventory (including 5,688 landslides) is prepared by means of urgent post-earthquake landslide field survey, landslide remote sensing interpretation of multi-source remote sensing images including high-resolution unmanned aerial vehicle images and historical landslide archives. Ten remarkable causative factors for landslide occurrence have been selected to conduct the landslide susceptibility assessment, including earthquake intensity, landslide density and slope gradient. An integration assessment approach is developed to facilitate the effective urgent post-earthquake landslide susceptibility assessment using three methods: factor sensitivity analysis, analytical hierarchy process and factor-weighted overlay. Such integration can effectively reduce the subjectivity and uncertainty resulting from using single method. The validation evaluation using the area under curve suggests the landslide susceptibility assessment results have satisfactory accuracy, and the suggested methodology is effective for the urgent post-earthquake landslide susceptibility assessment. The study results reveal that earthquake intensity and slope gradient are the two most important causative factors for post-earthquake landslide occurrence in the Lushan earthquake-impacted area. The dominant slope gradient and slope aspect with relatively higher landslide frequency are 45A degrees aEuro"50A degrees and south-east direction, respectively. The intense earthquake impact increased the dominant slope gradient of landslide spatial distribution, and the thrust campaign of seismogenic fault with strike NE-SW made south-east direction as the dominant slope aspect of the landslide spatial distribution. The locations with very high and high landslide susceptibility are mainly distributed in the regions with higher earthquake intensity and adverse terrain conditions, such as Shuangshi town and Longmen town of Lushan county and Muping town of Baoxing county. The study results are expected to provide a beneficial reference for the landslide prevention and infrastructure reconstruction after the Lushan earthquake.
C1 [Yang, Zhi-hua] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Yang, Zhi-hua; Lan, Heng-Xing; Gao, Xing; Li, Lang-ping; Meng, Yun-shan; Wu, Yu-ming] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Yang, Zhi-hua; Li, Lang-ping; Meng, Yun-shan; Wu, Yu-ming] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 China Geological Survey; Chinese Academy of Geological Sciences;
   Institute of Geomechanics, Chinese Academy of Geological Sciences;
   Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Lan, HX (corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China.
EM lanhx@lreis.ac.cn
TC 56
Z9 71
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD FEB
PY 2015
VL 75
IS 3
BP 2467
EP 2487
DI 10.1007/s11069-014-1441-8
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000347161900025
ER

PT J
AU Li, Y
   Chen, G
   Tang, C
   Zhou, G
   Zheng, L
AF Li, Y.
   Chen, G.
   Tang, C.
   Zhou, G.
   Zheng, L.
TI Rainfall and earthquake-induced landslide susceptibility assessment
   using GIS and Artificial Neural Network
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; HAZARD
   ASSESSMENT; THRESHOLDS; ZONATION; MODELS; CHINA; SCALE; BASIN
AB A GIS-based method for the assessment of landslide susceptibility in a selected area of Qingchuan County in China is proposed by using the back-propagation Artificial Neural Network model (ANN). Landslide inventory was derived from field investigation and aerial photo interpretation. 473 landslides occurred before the Wenchuan earthquake (which were thought as rainfall-induced landslides (RIL) in this study), and 885 earthquake-induced landslides (EIL) were recorded into the landslide inventory map. To understand the different impacts of rainfall and earthquake on landslide occurrence, we first compared the variations between landslide spatial distribution and conditioning factors. Then, we compared the weight variation of each conditioning factor derived by adjusting ANN structure and factors combination respectively. Last, the weight of each factor derived from the best prediction model was applied to the entire study area to produce landslide susceptibility maps.
   Results show that slope gradient has the highest weight for landslide susceptibility mapping for both RIL and EIL. The RIL model built with four different factors (slope gradient, elevation, slope height and distance to the stream) shows the best success rate of 93 %; the EIL model built with five different factors (slope gradient, elevation, slope height, distance to the stream and distance to the fault) has the best success rate of 98 %. Furthermore, the EIL data was used to verify the RIL model and the success rate is 92 %; the RIL data was used to verify the EIL model and the success rate is 53 %.
C1 [Li, Y.; Chen, G.; Zheng, L.] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 812, Japan.
   [Tang, C.] Chengdu Univ Technol, State Key Lab Geohazard Prevent, Chengdu, Peoples R China.
   [Zhou, G.] Nishi Nippon Inst Technol, Fukuoka, Japan.
C3 Kyushu University; Chengdu University of Technology
RP Li, Y (corresponding author), Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 812, Japan.
EM liyange1984@gmail.com
TC 52
Z9 57
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PY 2012
VL 12
IS 8
BP 2719
EP 2729
DI 10.5194/nhess-12-2719-2012
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000309616500024
ER

PT J
AU Ran, QH
   Qian, Q
   Li, W
   Fu, XD
   Yu, X
   Xu, YP
AF Ran, Qi-hua
   Qian, Qun
   Li, Wei
   Fu, Xu-dong
   Yu, Xiao
   Xu, Yue-ping
TI Impact of earthquake-induced-landslides on hydrologic response of a
   steep mountainous catchment: a case study of the Wenchuan earthquake
   zone
SO JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
DT Article
DE Underlying surface conditions; Landslide; Earthquake; Hydrologic
   response; Numerical simulation
ID SEDIMENT-TRANSPORT; R-5 CATCHMENT; MODEL INHM; SIMULATIONS; RUNOFF;
   MICROTOPOGRAPHY; RAINFALL; SCALE
AB Earthquake-induced-landslides will change the underlying surface conditions (topography, vegetation cover rate, etc.), which consequently may influence the hydrologic response and then change the flash flood risk. The Jianpinggou catchment, located in the Wenchuan earthquake (occurred in Sichuan, China, 2008) affected area, is selected as the study area. The distribution of the landslides is obtained from the remote sensing image data. The changes of topography are obtained from the comparisons among digital elevation models (DEMs) during different periods. A physical-based model, the integrated hydrology model (InHM), is used to simulate the hydrologic response before and after the landslide. The influence of the underlying surface conditions is then discussed based on the simulation results. The results reveal that landslides cause significant effects on the hydrologic response, and the impact is proportional to the proportion of surface flow in the total runoff. The effect of landslides on the runoff is insignificant at the outlet, but obvious in the local area. The larger the rainfall, the more visible the impact, and the impact of landslides will increase rapidly at the threshold of the runoff (the total rainfall of 235 mm in 6 h in the study area), but there is a limit with the further enlarged rainfall. The improved understanding of the impact of landslides on the hydrologic response provides valuable theoretical support for storm flood forecasting.
C1 [Ran, Qi-hua; Qian, Qun; Li, Wei; Xu, Yue-ping] Zhejiang Univ, Inst Hydrol & Water Resources, Hangzhou 310027, Zhejiang, Peoples R China.
   [Fu, Xu-dong] Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China.
   [Yu, Xiao] China Three Gorges Corp, Beijing 100038, Peoples R China.
C3 Zhejiang University; Tsinghua University; China Three Gorges Corporation
RP Xu, YP (corresponding author), Zhejiang Univ, Inst Hydrol & Water Resources, Hangzhou 310027, Zhejiang, Peoples R China.
EM yuepingxu@zju.edu.cn
TC 14
Z9 15
PU ZHEJIANG UNIV
PI HANGZHOU
PA EDITORIAL BOARD, 20 YUGU RD, HANGZHOU, 310027, PEOPLES R CHINA
SN 1673-565X
EI 1862-1775
PD FEB
PY 2015
VL 16
IS 2
BP 131
EP 142
DI 10.1631/jzus.A1400039
SC Engineering; Physics
UT WOS:000349016200005
ER

PT J
AU Ghaffarian, S
   Kerle, N
   Filatova, T
AF Ghaffarian, Saman
   Kerle, Norman
   Filatova, Tatiana
TI Remote Sensing-Based Proxies for Urban Disaster Risk Management and
   Resilience: A Review
SO REMOTE SENSING
DT Review
DE urban DRM; remote sensing; damage; recovery; vulnerability; resilience;
   economic; social; proxy; indirect measurement
ID BUILDING DAMAGE DETECTION; VULNERABILITY ASSESSMENT; COMMUNITY
   RESILIENCE; FLOOD VULNERABILITY; SEISMIC VULNERABILITY; WENCHUAN
   EARTHQUAKE; LAND-USE; ENVIRONMENTAL VULNERABILITY; MONITORING RECOVERY;
   HURRICANE KATRINA
AB Rapid increase in population and growing concentration of capital in urban areas has escalated both the severity and longer-term impact of natural disasters. As a result, Disaster Risk Management (DRM) and reduction have been gaining increasing importance for urban areas. Remote sensing plays a key role in providing information for urban DRM analysis due to its agile data acquisition, synoptic perspective, growing range of data types, and instrument sophistication, as well as low cost. As a consequence numerous methods have been developed to extract information for various phases of DRM analysis. However, given the diverse information needs, only few of the parameters of interest are extracted directly, while the majority have to be elicited indirectly using proxies. This paper provides a comprehensive review of the proxies developed for two risk elements typically associated with pre-disaster situations (vulnerability and resilience), and two post-disaster elements (damage and recovery), while focusing on urban DRM. The proxies were reviewed in the context of four main environments and their corresponding sub-categories: built-up (buildings, transport, and others), economic (macro, regional and urban economics, and logistics), social (services and infrastructures, and socio-economic status), and natural. All environments and the corresponding proxies are discussed and analyzed in terms of their reliability and sufficiency in comprehensively addressing the selected DRM assessments. We highlight strength and identify gaps and limitations in current proxies, including inconsistencies in terminology for indirect measurements. We present a systematic overview for each group of the reviewed proxies that could simplify cross-fertilization across different DRM domains and may assist the further development of methods. While systemizing examples from the wider remote sensing domain and insights from social and economic sciences, we suggest a direction for developing new proxies, also potentially suitable for capturing functional recovery.
C1 [Ghaffarian, Saman; Kerle, Norman] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands.
   [Filatova, Tatiana] Univ Twente, Ctr Studies Technol & Sustainable Dev, NL-7500 AE Enschede, Netherlands.
C3 University of Twente; University of Twente
RP Ghaffarian, S (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands.
EM s.ghaffarian@utwente.nl; n.kerle@utwente.nl; t.filatova@utwente.nl
TC 71
Z9 82
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD NOV
PY 2018
VL 10
IS 11
AR 1760
DI 10.3390/rs10111760
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000451733800091
ER

PT J
AU Tian, YY
   Xu, C
   Xu, XW
   Chen, J
AF Tian, Yingying
   Xu, Chong
   Xu, Xiwei
   Chen, Jian
TI Detailed inventory mapping and spatial analyses to landslides induced by
   the 2013 Ms 6.6 Minxian earthquake of China
SO JOURNAL OF EARTH SCIENCE
DT Article
DE Minxian Earthquake; landslide inventory; spatial analyses; landslide
   number density (LND); landslide area percentage (LAP)
ID 2008 WENCHUAN EARTHQUAKE; LUSHAN EARTHQUAKE; MODEL; RAINFALL; ZHANGXIAN;
   HAZARDS; PATTERN; WEIGHT; YUSHU; GIS
AB On July 22, 2013, an earthquake (Ms 6.6) occurred in Minxian, Gansu Province of China, causing a large number of landslides. Based on high resolution remote sensing images before and after this event, we made the visual interpretation to these coseismic landslides, and prepared a detailed inventory. The inventory registers totally 6 478 landslides in the study area. Of them, 3 322 landslides are larger than 100 m2. Based on 5 m resolution DEM, these landslides were used to perform spatial analyses using landslide number density (LND) and landslide area percentage (LAP). The results show that the highest LND and LAP values are in the elevation range of 2 300-2 500 m and steeper slopes. Slopes facing E, SE, S and SW directions, slopes with larger absolute curvature values, ridges, scopes of gravel beds of Late Pleistocene (Q(p)) and the VIII-degree seismic intensity are more prone to sliding with high LND and LAP values. The largest LND and LAP values are in the scopes of 0.08 and 0.24 g, respectively. According to landslide distribution, we infer that F2-2 branch of Lintan-Dangchang fault is the seismogenic fault. With the increasing distances to this branch fault and drainages, LND and LAP values tend to decrease.
C1 [Tian, Yingying; Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Tian, Yingying; Chen, Jian] China Univ Geosci, Sch Engn & Technol, Beijing 100083, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   University of Geosciences
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xuchong@ies.ac.cn
TC 37
Z9 52
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD DEC
PY 2016
VL 27
IS 6
BP 1016
EP 1026
DI 10.1007/s12583-016-0905-z
SC Geology
UT WOS:000390033600010
ER

PT J
AU Song, JW
   Wang, XY
   Liao, Y
   Zhen, J
   Ishwaran, N
   Guo, HD
   Yang, RX
   Liu, CS
   Chang, C
   Zong, X
AF Song, Jingwei
   Wang, Xinyuan
   Liao, Ying
   Zhen, Jing
   Ishwaran, Natarajan
   Guo, Huadong
   Yang, Ruixia
   Liu, Chuansheng
   Chang, Chun
   Zong, Xin
TI An Improved Neural Network for Regional Giant Panda Habitat Suitability
   Mapping: A Case Study in Ya'an Prefecture
SO SUSTAINABILITY
DT Article
DE habitat assessment; artificial neural network; geographic information
   system; remote sensing; giant panda
ID WENCHUAN EARTHQUAKE; MINSHAN MOUNTAINS; NATURE-RESERVE; LAND-COVER;
   CHINA; CONSERVATION; GIS; INFORMATION; MANAGEMENT; SYSTEM
AB Expert knowledge is a combination of prior information and subjective opinions based on long-experience; as such it is often not sufficiently objective to produce convincing results in animal habitat suitability index mapping. In this study, an animal habitat assessment method based on a learning neural network is proposed to reduce the level of subjectivity in animal habitat assessments. Based on two hypotheses, this method substitutes habitat suitability index with apparent density and has advantages over conventional ones such as those based on analytical hierarchy process or multivariate regression approaches. Besides, this method is integrated with a learning neural network and is suitable for building non-linear transferring functions to fit complex relationships between multiple factors influencing habitat suitability. Once the neural network is properly trained, new earth observation data can be integrated for rapid habitat suitability monitoring which could save time and resources needed for traditional data collecting approaches through extensive field surveys. Giant panda (Ailuropoda melanoleuca) natural habitat in Ya'an prefecture and corresponding landsat images, DEM and ground observations are tested for validity of using the methodology reported. Results show that the method scores well in key efficiency and performance indicators and could be extended for habitat assessments, particularly of other large, rare and widely distributed animal species.
C1 [Song, Jingwei; Wang, Xinyuan; Liao, Ying; Zhen, Jing; Guo, Huadong; Yang, Ruixia; Liu, Chuansheng; Chang, Chun; Zong, Xin] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Song, Jingwei; Liao, Ying; Zhen, Jing; Chang, Chun; Zong, Xin] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
   [Ishwaran, Natarajan] Chinese Acad Sci, UNESCO, Int Ctr Space Technol Natl & Cultural Heritage Au, Beijing 100094, Peoples R China.
   [Ishwaran, Natarajan] UNESCO, Beijing 100094, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS; Chinese Academy of Sciences
RP Wang, XY (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM tomcatboris@gmail.com; wangxy@radi.ac.cn; liaoying@radi.ac.cn;
   zhenjgis@126.com; ishgaja@gmail.com; hdguo@ceode.ac.cn;
   rxyang@ceode.ac.cn; csliu@ceode.ac.cn; changchun0311@163.com;
   ziyuzhihun@126.com
TC 9
Z9 10
PU MDPI AG
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
SN 2071-1050
PD JUL
PY 2014
VL 6
IS 7
BP 4059
EP 4076
DI 10.3390/su6074059
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000340036600005
ER

PT J
AU Çellek, S
AF Cellek, Seda
TI Effect of the slope angle and its classification on landslides
SO HIMALAYAN GEOLOGY
DT Article
DE Landslide; susceptibility; parameter; slope angle; classification
ID REMOTE-SENSING DATA; SUSCEPTIBILITY ASSESSMENT; LOGISTIC-REGRESSION;
   FREQUENCY RATIO; WENCHUAN EARTHQUAKE; HIERARCHY PROCESS;
   NEURAL-NETWORKS; AREA; GIS; PREDICTION
AB The preparation of landslide susceptibility maps is a complex process with regards to selection of study field, parameters, and methods. The phase after the determination of the landslide distribution in landslide susceptibility studies is selection of methods and parameters to be used. A review of approximately 1500 randomly selected publications revealed that it was necessary to select a parameter based on the area, in each study, the most preferred parameter was the slope angle. Generally, it was observed that automatic slope angle classifications were used in the preparation of landslide maps. Therefore, there is no standard in slope angle maps nor in the class range that is referenced when preparing them. In this study, class ranges and slope angle values of areas where landslides have occurred were determined from the 15 literature, and of these, 40 landslides areas were selected in Turkey and their slope angle maps were created. These were evaluated based on the slope angle classes determined in the published literature. The effects of slope angle on the landslide were determined, and an understanding was gained of how important it was to be careful when determining the classification of slope angle. When smaller class ranges were selected, different results were obtained suggesting that the selection of the range of classes are vital in the preparation of landslide susceptibility maps.
C1 [Cellek, Seda] Univ Kirsehir Ahi Evran, Dept Geol, Kirsehir, Turkey.
C3 Ministry of Energy & Natural Resources - Turkey; Kirsehir Ahi Evran
   University
RP Çellek, S (corresponding author), Univ Kirsehir Ahi Evran, Dept Geol, Kirsehir, Turkey.
EM sedacellek@ahievran.edu.tr
TC 11
Z9 13
PU WADIA INST HIMALAYAN GEOLOGY
PI DEHRA DUN
PA 33 GENERAL MAHADEO SINGH RD, DEHRA DUN, 248 001, INDIA
SN 0971-8966
PY 2022
VL 43
IS 1A
BP 85
EP 95
SC Geology
UT WOS:000768770000008
ER

PT J
AU Hess, DM
   Leshchinsky, BA
   Bunn, M
   Mason, HB
   Olsen, MJ
AF Hess, Daniel M.
   Leshchinsky, Ben A.
   Bunn, Michael
   Mason, H. Benjamin
   Olsen, Michael J.
TI A simplified three-dimensional shallow landslide susceptibility
   framework considering topography and seismicity
SO LANDSLIDES
DT Article
DE Lidar; Three-dimensional slope stability; Susceptibility analysis;
   Infrastructure; Seismic; Shallow landslides
ID GENERALIZED ANALYTICAL EXPRESSION; 2008 WENCHUAN EARTHQUAKE;
   LOGISTIC-REGRESSION; ROOT REINFORCEMENT; LIMIT EQUILIBRIUM; STABILITY
   MODEL; GIS; HAZARD; PRESSURE; STRENGTH
AB Shallow landslides are a prevalent concern in mountainous or hilly regions that can result in severe societal, economic, and environmental impacts. The challenge is further compounded as the size and location of a potential slide is often unknown. This study presents a generalized approach for the evaluation of regional shallow landslide susceptibility using an existing shallow landslide inventory, remote sensing data, and various geotechnical scenarios. The three-dimensional limit equilibrium model derived in this study uses a raster-based approach that uniquely integrates tree root reinforcement, earth pressure boundary forces, and pseudo-static seismic accelerations. Contributions of this methodology include the back-calculation of soil strength from a landslide inventory, sensitivity analyses regarding landslide size-pixel size relationships, and the determination of shallow landslide susceptibility for a landscape or infrastructure considering various root, water, and seismic conditions using lidar bare-earth DEMs as a topographic input. Using a distribution of inventoried landslide points and random points in non-landslide locales, the proposed methodology demonstrated reasonable correlation between regions of high landslide susceptibility and observed shallow landslides within a 150-km(2) region of the Oregon Coast Range when the water-height ratio was 0.5. The method may be improved by considering spatial hydrologic conditions and geology more explicitly.
C1 [Hess, Daniel M.] 1200 NW Naito Pkwy,Suite 180, Portland, OR 97209 USA.
   [Leshchinsky, Ben A.] Oregon State Univ, Dept Forest Engn Resources & Management, 273 Peavy Hall, Corvallis, OR 97331 USA.
   [Bunn, Michael] Oregon State Univ, Sch Civil & Construct Engn, 101 Kearney Hall, Corvallis, OR 97331 USA.
   [Mason, H. Benjamin] Oregon State Univ, Sch Civil & Construct Engn, 338 Owen Hall, Corvallis, OR 97331 USA.
   [Olsen, Michael J.] Oregon State Univ, Sch Civil & Construct Engn, 313 Owen Hall, Corvallis, OR 97331 USA.
C3 Oregon State University; Oregon State University; Oregon State
   University; Oregon State University
RP Leshchinsky, BA (corresponding author), Oregon State Univ, Dept Forest Engn Resources & Management, 273 Peavy Hall, Corvallis, OR 97331 USA.
EM ben.leshchinsky@orgeonstate.edu
TC 49
Z9 51
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD OCT
PY 2017
VL 14
IS 5
BP 1677
EP 1697
DI 10.1007/s10346-017-0810-2
SC Engineering; Geology
UT WOS:000410840000009
ER

PT J
AU Chen, JP
   Li, JF
   Qin, XW
   Dong, QJ
   Sun, Y
AF Chen Jianping
   Li Jianfeng
   Qin Xuwen
   Dong Qingji
   Sun Yan
TI RS and GIS-based Statistical Analysis of Secondary Geological Disasters
   after the 2008 Wenchuan Earthquake
SO ACTA GEOLOGICA SINICA-ENGLISH EDITION
DT Article
DE secondary geological disaster; disaster grade; quantitative prediction
   and evaluation
ID FAULT ZONE; CHINA; DEFORMATION; EVOLUTION; TIBET
AB Using RS and GIS means, this article analyzes the general geological characteristics and the structural belt distribution features in Wenchuan County, Sichuan province, P.R. China as well as the characteristics of the large-scale landslides, mud-rock flows, earthquake lakes, etc., after the earthquake on May 12, 2008. Based on the above work, comprehensive indoor and outdoor research is launched on disaster distribution characteristics and their relationship with earthquakes, terrains, strata, lithology, and structures. Weights of evidence method is utilized to quantitatively analyze and evaluate the spatial distribution of secondary geological disasters after the earthquake occurred. 3 remedying grades for secondary geological disasters are derived from the results of the weights of Evidence, followed by suggestions given to remedy earthquake secondary disasters.
C1 [Chen Jianping; Li Jianfeng; Dong Qingji; Sun Yan] China Univ Geosci, Inst High & New Tech Appl Land Resources, Beijing 100083, Peoples R China.
   [Chen Jianping; Li Jianfeng; Dong Qingji; Sun Yan] Beijing Key Lab Dev & Res Land Resources Informat, Beijing 100083, Peoples R China.
   [Qin Xuwen] China Geol Survey, Beijing 100037, Peoples R China.
C3 China University of Geosciences; China Geological Survey
RP Chen, JP (corresponding author), China Univ Geosci, Inst High & New Tech Appl Land Resources, Beijing 100083, Peoples R China.
EM 3s@cugb.edu.cn
TC 15
Z9 22
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1000-9515
EI 1755-6724
PY 2009
VL 83
IS 4
BP 776
EP 785
DI 10.1111/j.1755-6724.2009.00101.x
SC Geology
UT WOS:000268027700011
ER

PT J
AU Xiong, J
   Tang, C
   Chen, M
   Zhang, XZ
   Shi, QY
   Gong, LF
AF Xiong, Jiang
   Tang, Chuan
   Chen, Ming
   Zhang, Xianzheng
   Shi, Qingyun
   Gong, Lingfeng
TI Activity characteristics and enlightenment of the debris flow triggered
   by the rainstorm on 20 August 2019 in Wenchuan County, China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Wenchuan earthquake; Debris flow; Debris flow activity; Sediment supply;
   Strong rainfall
ID SEDIMENT YIELD; EARTHQUAKE; AREA; LANDSLIDES; VEGETATION; THRESHOLD;
   EVOLUTION; IMPACT; SOIL
AB Debris flow activity increased after the Wenchuan earthquake, and many debris flows continue to occur. Recently, a catastrophic debris flow event was triggered by strong rainfall on 20 August 2019 in Wenchuan County, China. The main purposes of this article are to analyse the activity characteristics of this disaster and further to analyse the long-term activity of debris flow in Wenchuan County based on the analysis results of this disaster. According to a field survey and remote sensing image interpretation, this strong rainfall triggered 15 debris flows that occurred simultaneously in the large watershed in northern Wenchuan County, and they were characterised by strong channel erosion and a disaster chain effect. The activity and sediment supply capacity of landslides have decreased significantly, and the landslides that provided materials for this debris flow event are mainly distributed on both banks of tributaries. The amounts of triggering rainfall and antecedent accumulated rainfall for this debris flow event were 13.7 mm and 47.1 mm, respectively. In addition, the channel runoff formed by strong short-duration rainfall eroded the channel deposits, and temporary check dams failed due to slope failures; these are the main causes for debris flows in the next period. Analyses of the debris flow volume versus watershed area and the maximum erosion modulus prove that the debris flow activity in Wenchuan County is decreasing with time, but more than 5 similar to 10 years will be required to recover to the pre-earthquake level.
C1 [Xiong, Jiang; Tang, Chuan; Chen, Ming; Zhang, Xianzheng; Shi, Qingyun; Gong, Lingfeng] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
C3 Chengdu University of Technology
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
EM tangc@cdut.edu.cn
TC 63
Z9 70
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD FEB
PY 2021
VL 80
IS 2
BP 873
EP 888
DI 10.1007/s10064-020-01981-x
EA OCT 2020
SC Engineering; Geology
UT WOS:000575737800002
ER

PT J
AU Shi, QY
   Tang, C
   Gong, LF
   Chen, M
   Li, N
   Zhou, W
   Xiong, J
   Tang, H
   Wang, XD
   Li, MW
AF Shi Qing-yun
   Tang Chuan
   Gong Ling-feng
   Chen Ming
   Li Ning
   Zhou Wei
   Xiong Jiang
   Tang Hai
   Wang Xiao-di
   Li Ming-wei
TI Activity evolution of landslides and debris flows after the Wenchuan
   earthquake in the Qipan catchment, Southwest China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Evolution of debris flow activity; Seismic landslides; Vegetation
   recovery; Qipan catchment
AB The Wenchuan earthquake that occurred on 12 May 2008 induced numerous landslides. Loose landslide materials were deposited on hillslopes, and deep channels were easily remobilized and transformed into debris flows by extreme rainstorms. Twelve years after the Wenchuan earthquake, debris flows were still active in the Qipangou Ravine in the quake-hit area. In this paper, we continuously tracked the spatiotemporal evolution of the landslides and vegetation restoration and evaluated the evolution of debris flow activity in the Qipan catchment with the aid of a GIS platform and field investigations from 2008 to 2019. We observed that the area with active landslides increased sharply immediately following the earthquake, and then decreased with time; however, the total area of landslides continued to increase from 6.93 km(2) in 2008 to 10.55 km(2) in 2019. The active landslides shifted towards lower angles and higher elevations after 2013. Since 2009, the vegetation coverage has been gradually increasing and approaching the coverage present before the earthquake as of 2019. The landslide activity was high and the vegetation recovery rates were rapidly rising during the first five years after the earthquake; the recovery rates then slowed over time. Therefore, we divided the evolution that occurred during the post landslide period into an active period (2008-2013), a self-adjustment period (2013-2026) and a stable period (after 2026). We then proposed a quantitative model to determine the trends of landslide activity rates and NDVI values in the catchment, which indicated that the landslide activities and postseismic vegetation restoration rates in this catchment will return to preseismic levels within approximately two decades. We also analysed the runout volumes of the debris flows after the earthquakes (Diexi and Wenchuan) and the standard deviation of the vegetation coverage and predicted that the debris flow activities will last for an additional 50 years or more.
C1 [Shi Qing-yun; Tang Chuan; Chen Ming; Zhou Wei; Xiong Jiang; Li Ming-wei] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Gong Ling-feng] China Geol Survey, Chengdu Geol Survey Ctr, Chengdu 610081, Peoples R China.
   [Li Ning] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
   [Tang Hai] 11th Geol Team Zhejiang Prov, Wenzhou 32500, Peoples R China.
   [Wang Xiao-di] Sichuan Acad Environm Sci, Chengdu 610044, Peoples R China.
C3 Chengdu University of Technology; China Geological Survey; Xihua
   University
RP Tang, C (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM qingyun_shi@163.com; tangc@cdut.edu.cn; 308488910@qq.com;
   977869515@qq.com; 790626903@qq.com; 39270076@qq.com; 2029476606@qq.com;
   1269518675@qq.com; 517115116@qq.com; 39270076@qq.com
TC 20
Z9 23
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2021
VL 18
IS 4
BP 932
EP 951
DI 10.1007/s11629-020-6494-4
SC Environmental Sciences & Ecology
UT WOS:000639495600009
ER

PT J
AU Chen, JQ
   Zhang, W
   Lu, CW
   Zheng, YH
   Liu, HC
   Li, WK
   Yin, H
   Wang, J
   Wang, YD
AF Chen, Junqi
   Zhang, Wen
   Lu, Changwei
   Zheng, Yanhao
   Liu, Hongcheng
   Li, Wankun
   Yin, Han
   Wang, Jia
   Wang, Yindong
TI Evolution and migration patterns of sediments in an earthquake-affected
   catchment in Wenchuan, Sichuan Province, China
SO CATENA
DT Article
DE Sediment evolution; Wenchuan earthquake; Migration patterns; Sediment
   monitoring
ID DEBRIS FLOWS; AREA
AB Earthquakes of magnitude often contribute to changes in sediment availability, and those available sediments, once entrained by runoff, can lead to catastrophic debris flow events. Effective management of debris flow events in seismic areas relies on monitoring the changes in available sediments at the catchment scale and the movement mode of available sediments at the sedimentary deposits scale. For this reason, the present study integrates satellite remote sensing images, terrestrial 3D laser scanner, and field experiments to establish a monitoring framework across diverse spatial scales. This approach reveals the evolution and migration patterns of available sediments in the typical debris flow catchment Cutou gully in the Wenchuan earthquake area since the 2008 earthquake disaster. Accordingly, we can illuminate how sediment evolution responds to different disaster events and clarify the sediment migration patterns before and during debris flow disasters. It is found that the seismic events led to an increase in sediments available for mobilization within Cutou gully. For the available sediments involved in the debris flow, since some of the loosely consolidated active material sources were carried away by the debris flow, following the debris flow, they were more stable compared to those not involved in the debris flow. Available sediments migrated from the upper slopes with higher elevation to the debris flow channel with lower elevation due to surface runoff before and during the debris flow. Localized collapse at the toe of the sedimentary deposits occurred continuously in a retrogressive manner, mainly due to lateral erosion of the channel bank, which complements the magnitude of the debris flow.
C1 [Chen, Junqi; Zhang, Wen; Li, Wankun; Yin, Han; Wang, Jia] Jilin Univ, Coll Construct Engn, Changchun 130015, Peoples R China.
   [Lu, Changwei; Liu, Hongcheng] Jilin Prov Water Resource & Hydropower Consultat C, Changchun 130026, Jilin, Peoples R China.
   [Wang, Yindong] Jilin Team Geol Survey Ctr China Bldg Mat Ind, Changchun 130026, Peoples R China.
   [Zheng, Yanhao] Harbin Inst Technol, Shenzhen 518000, Peoples R China.
C3 Jilin University; Harbin Institute of Technology
RP Zhang, W (corresponding author), Jilin Univ, Coll Construct Engn, Changchun 130015, Peoples R China.; Lu, CW (corresponding author), Jilin Prov Water Resource & Hydropower Consultat C, Changchun 130026, Jilin, Peoples R China.
EM zhang_wen@jlu.edu.cn; 553079703@qq.com
TC 15
Z9 15
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD FEB
PY 2025
VL 249
AR 108712
DI 10.1016/j.catena.2025.108712
EA JAN 2025
SC Geology; Agriculture; Water Resources
UT WOS:001399139700001
ER

PT J
AU Cheng, Q
   Yang, YH
   Du, Y
AF Cheng, Qiang
   Yang, Yinghui
   Du, Yi
TI Failure mechanism and kinematics of the Tonghua landslide based on
   multidisciplinary pre- and post-failure data
SO LANDSLIDES
DT Article
DE Debris slide; Kinematics; Moraine soil; Triggering mechanism
ID SURFACE DEFORMATION; DEBRIS-SLIDE; WENCHUAN EARTHQUAKE;
   FIELD-MEASUREMENTS; SOIL-CREEP; EVOLUTION; SLOPES; CLASSIFICATION;
   PHOTOGRAMMETRY; GENERATION
AB Knowledge of kinematics is crucial for understanding landslide mechanisms and assessing hazards. However, characterizing landslide kinematics is often challenging because landslides are sudden events with spatial and temporal coverage. Combining field investigations and remote sensing, the present study reveals the kinematic features, evolution processes, and triggering mechanism of a translational debris slide (the Tonghua landslide) that occurred on August 8 of 2017 in Sichuan Province, China. Based on digital orthophoto maps and digital elevation models derived from unmanned aerial vehicle photogrammetry, 3 years of post-failure kinematics were surveyed in detail. The landslide body experienced moderate-velocity (1.19-3.98 m/d) to slow-velocity (33.2-205.5 mm/d) sliding, eventually entering a period of very-slow-velocity (0.1-1.0 mm/d) sliding. A long-term pre-failure creeping process in the source area of the landslide was detected by interpreting interferometric synthetic aperture radar data and satellite images. At the front part of the source area, the observed deformation velocity was 15-25 mm/year between November 7, 2014 and July 30, 2017. Additionally, the source area of the landslide was found to be located on a hollow slope within a cirque catchment of similar to 67,500 m(2). This complicated topographic feature promoted groundwater infiltration and long-term slope creeping; indeed, the 2008 Wenchuan earthquake may have aggravated surface cracking and soil weakening. Long-term creep of the slope caused cracking, saturation, and deformation of the soil body. Finally, seismic effects caused by tunnel blasting triggered sliding of the deformed soils.
C1 [Cheng, Qiang; Du, Yi] Sichuan Prov Highway Planning Survey Design & Res, Chengdu 610041, Peoples R China.
   [Yang, Yinghui] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 61005, Peoples R China.
RP Cheng, Q (corresponding author), Sichuan Prov Highway Planning Survey Design & Res, Chengdu 610041, Peoples R China.
EM chengqiang@schdri.com
TC 12
Z9 15
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2021
VL 18
IS 12
BP 3857
EP 3874
DI 10.1007/s10346-021-01770-x
EA OCT 2021
SC Engineering; Geology
UT WOS:000711299900001
ER

PT J
AU Xiang, MS
   Yang, J
   Yang, WNA
   Wang, CJ
   Duan, LS
AF Xiang, Mingshun
   Yang, Jin
   Yang, Wunian
   Wang, Chunjian
   Duan, Linsen
TI Remote sensing dynamic monitoring of eco-water (layer) conservation
   spatiotemporal variation in earthquake stricken areas
SO DESALINATION AND WATER TREATMENT
DT Article
DE Eco-water (layer); Remote sensing inversion model; Wenchuan earthquake;
   Ecological restoration; Dynamic change
ID HYDROLOGICAL MODEL; VEGETATION; RUNOFF; EVAPOTRANSPIRATION; QUALITY
AB Water is the major guarantee for ecological restoration and a virtuous ecological cycle. This study is based on spatial information processing technology and mathematical modeling. The results demonstrate that the overall trend in regional modulus of eco-water conservation (MEC) and quantity of eco-water conservation (QEC) was dropped dramatically and then gradually increased from 2007 to 2017. The restoration process of eco-water conservation capacity cannot match both in time and space. Moreover, there are significant differences in MEC between different land types. Serious destruction of forestland are the leading factors of the 14.27% decrease in MEC of the study area after earthquake. Besides, there is an apparently positive correlation between MEC distribution and slope changes on the whole (p < 0.05), so the earthquake has the greatest impact on MEC if the surface slope is between 15 degrees and 35 degrees. Furthermore, the average MEC in areas below 3,000 m above sea level is higher than in other areas, and the MEC reduction rate after the earthquake is 31.85% higher than the areas above 3,000 m. In addition, the disturbance of MEC around faults was more often than that in other areas.
C1 [Xiang, Mingshun; Yang, Jin; Wang, Chunjian; Duan, Linsen] Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China.
   [Yang, Wunian; Wang, Chunjian] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
   [Yang, Wunian] Chengdu Univ Technol, Minist Land & Resources, Key Lab Geosci Spatial Informat Technol, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology;
   Chengdu University of Technology; Ministry of Natural Resources of the
   People's Republic of China
RP Xiang, MS (corresponding author), Chengdu Univ Technol, Coll Tourism & Urban Rural Planning, Chengdu 610059, Peoples R China.
EM xiangmingshun19@cdut.edu.cn
TC 0
Z9 0
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 1944-3994
EI 1944-3986
PD APR
PY 2021
VL 219
BP 276
EP 286
DI 10.5004/dwt.2021.26881
SC Engineering; Water Resources
UT WOS:000651077800036
ER

PT J
AU Yang, ZJ
   Liu, G
   Wang, LY
   Liu, SH
   Fu, XL
AF Yang, Zongji
   Liu, Gang
   Wang, Liyong
   Liu, Shihao
   Fu, Xiaolong
TI Evolution of hydro-mechanical behaviours and its influence on slope
   stability for a post-earthquake landslide: implications for prolonged
   landslide activity
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Prolonged landslide activity; Hydro-mechanical parameters evolution;
   Post-earthquake landslide; Slope structure coursing; Rainfall-induced
   landslide
ID RAINFALL-INDUCED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE;
   CHI-CHI-EARTHQUAKE; FLOW; MODEL; AREA; PREDICTION; DEPOSITS; IMPACTS;
   SICHUAN
AB There has been considerable research on the prolonged effects and evolution of post-earthquake landslides, as they are of significance for disaster relief and rebuilding plans in earthquake-impacted regions. There is a need to better quantify these prolonged effects and evolution based on the hydro-mechanical mechanisms of post-earthquake landslides. This study investigated the evolution of the hydro-mechanical behaviour and parameters of a single landslide by integrating experimental and theoretical analyses. Analyses were undertaken using a time series of in situ monitoring data over five hydrological years on a single landslide site in the Baisha River basin of Dujiangyan, in the Wenchuan earthquake region, China. Results indicated a linear increase in the angle of internal friction under prolonged effects, while soil cohesion decreased non-linearly, gradually approaching a lower limit. The saturated hydraulic conductivity (K-s) increased, and the soil residual water content (theta(r)) evolution curve conformed to the Boltzmann function distribution model. The soil-water characteristic curve parameters gradually increased. Based on the hydro-mechanical parameter evolution, the spatiotemporal decay of the landslide over the next decade under extreme rainfall conditions was predicted using the rainfall slope stability models and TRIGRS. This paper proposed a mechanistic explanation for the prolonged effects of a post-earthquake landslide in response to rainfall. Furthermore, it provided a reliable theoretical basis for the early warning and prevention of such landslides.
C1 [Yang, Zongji; Liu, Gang; Liu, Shihao; Fu, Xiaolong] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Liu, Gang; Liu, Shihao; Fu, Xiaolong] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Wang, Liyong] Sichuan Elect Power Design & Consulting Co Ltd, Chengdu 610041, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS
RP Yang, ZJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM yzj@imde.ac.cn
TC 5
Z9 5
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD NOV
PY 2021
VL 80
IS 11
BP 8803
EP 8822
DI 10.1007/s10064-021-02463-4
EA OCT 2021
SC Engineering; Geology
UT WOS:000704456200001
ER

PT J
AU Pei, XJ
   Guo, B
   Cui, SH
   Wang, DP
   Xu, Q
   Li, TT
AF Pei, Xiang-jun
   Guo, Bin
   Cui, Sheng-hua
   Wang, Dong-po
   Xu, Qiang
   Li, Tian-tao
TI On the initiation, movement and deposition of a large landslide in
   Maoxian County, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Xinmo landslide; Seismic damages; Long runout; Failure mechanism; Rock
   fragment
ID 2008 WENCHUAN EARTHQUAKE; XINMO LANDSLIDE; MECHANISMS
AB At 5 am 24th June 2017, a catastrophic landslide hit Xinmo Village, Maoxian County, Sichuan Province, China. The slide mass rushed down from an altitude of 3400m and traveled 2700 m in a high velocity. The 13 million m(3) deposition buried the whole village and caused about 100 deaths. The source area of the landslide is located in a high steep slope, average slope angle is 40A and maximal angle is 65A. The strata are interbedded Triassic Zagunao Formation metamorphic sandstone and slate with the dip slope angle of 45A degrees. Based on high-resolution satellite remote sensing image, UAV image, DEM data, and field investigation, failure mechanism, travel features, and deposit characteristics were analyzed. The results showed that this landslide was influenced by Songpinggou Fault zone. According to the topography before the failure, the landslide is located in the back scarp of an antecedent landslide induced by Diexi Earthquake in 1933. The bedding slope provided potential rupture surface. Historical seismic activities and long-term gravitational deformation caused rock mass accumulated damages. Weathering and precipitation weakened the rock mass and finally induced shearing and tension failure. A huge block detached from the top rock slope, pushed the past landslide deposits in the middle part, rushed out of the slope bottom in a high velocity and buried the Xinmo Village. The rapid movement entrained and brought the soil into the Songping Gully which recoiled with and bounced back from the opposite mountain.
C1 [Pei, Xiang-jun; Guo, Bin; Cui, Sheng-hua; Wang, Dong-po; Xu, Qiang; Li, Tian-tao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Guo, B (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM Peixj0119@tom.com; b_guo1989@sina.com; shenghuacui.geo@gmail.com;
   wangdongp02014@cdut.edu.cn; xq@cdut.edu.cn; tiantao.lee@gmail.com
TC 21
Z9 22
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2018
VL 15
IS 6
BP 1319
EP 1330
DI 10.1007/s11629-017-4627-1
SC Environmental Sciences & Ecology
UT WOS:000435362700012
ER

PT J
AU Fu, X
   Zhu, Q
   Liu, C
   Li, NW
   Zhuang, WH
   Yang, ZL
   Lu, H
   Tang, M
AF Fu, Xiao
   Zhu, Qing
   Liu, Chao
   Li, Naiwen
   Zhuang, Wenhua
   Yang, Zhengli
   Lu, Heng
   Tang, Min
TI Estimation of Landslides and Road Capacity after August 8, 2017, MS7.0
   Jiuzhaigou Earthquake Using High-Resolution Remote Sensing Images
SO ADVANCES IN CIVIL ENGINEERING
DT Article
ID WENCHUAN EARTHQUAKE; NDVI; EVI; PATTERN
AB On 8 August 2017, Jiuzhaigou earthquake, magnitude 7.0, hit northern Sichuan, China. As the earthquake-stricken area is located in the mountainous region with forest and low residential density, the main damage is to vegetation and roads by earthquake-triggered landslides. In this study, the core area of Jiuzhaigou natural reserve, one of the highest seismic intensity zones, is selected. The landslides are extracted by examining vegetation changes from the preearthquake and postearthquake images using the Normalized Difference Vegetation Index (NDVI) and are verified by slope. As most road damage in the mountainous region could be attributed to the landslides nearby, the impacts of landslide on road are studied based on spatial analysis and are used to infer occluded road damage. Then, a knowledge-based method for postearthquake road detection and road capacity assessment from preearthquake road data and postearthquake high-resolution remote sensing imagery is proposed, as well as the quantitative road capacity assessment indicators to classify the road grades. This method is evaluated using the Beijing-2 (BJ-2) satellite images over the study area acquired on 28 April and 9 August. Compared with visual interpretation results, the extraction accuracy reached 90% for landslides and 85% for postearthquake roads, indicating that the approaches are effective and promising for quick response to devastating earthquake in similar circumstances.
C1 [Fu, Xiao; Zhu, Qing] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
   [Liu, Chao; Li, Naiwen; Yang, Zhengli; Lu, Heng] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Liu, Chao; Li, Naiwen; Zhuang, Wenhua; Yang, Zhengli; Lu, Heng] Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
   [Zhuang, Wenhua] Sichuan Acad Forestry, Chengdu 610081, Peoples R China.
   [Tang, Min] China Railway Eryuan Engn Grp Co Ltd, Chengdu 610031, Peoples R China.
C3 Southwest Jiaotong University; Sichuan University; Sichuan University
RP Lu, H (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.; Lu, H (corresponding author), Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
EM luheng@scu.edu.cn
TC 5
Z9 6
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1687-8086
EI 1687-8094
PD NOV 19
PY 2020
VL 2020
AR 8828385
DI 10.1155/2020/8828385
SC Construction & Building Technology; Engineering
UT WOS:000595825600001
ER

PT J
AU Yue, H
   Zhang, Y
   Ge, ZX
   Wang, T
   Zhao, L
AF Yue, Han
   Zhang, Yong
   Ge, Zengxi
   Wang, Teng
   Zhao, Li
TI Resolving rupture processes of great earthquakes: Reviews and
   perspective from fast response to joint inversion
SO SCIENCE CHINA-EARTH SCIENCES
DT Review
DE Finite fault model; Backprojection; Joint inversion; Strong motion;
   Simulation
ID 2011 TOHOKU EARTHQUAKE; HIGH-RATE GPS; 2008 WENCHUAN EARTHQUAKE; JAVA
   TSUNAMI EARTHQUAKE; WAVE FRECHET KERNELS; EARLY WARNING SYSTEM;
   STRONG-MOTION DATA; 1999 HECTOR MINE; W 7.9 WENCHUAN; DYNAMIC RUPTURE
AB Resolving rupture processes of great earthquakes has fundamental importance to the study of earthquake physics, rupture dynamics, fault zone structure, and evolving processes. It also plays an essential role in earthquake hazard estimation, emergency response and seismic hazard mitigation. This paper reviews the major progress of the earthquake rupture process studies in the last decades, with an emphasize on the research directions of the department geophysics of Peking University including real-time response, back-projection techniques, geodetic data analysis, joint inversion and inversion in complex earth medium. We discussed the advantages and limitations of tradition methods; proposed a systematic and integrated approach from fast-response to detailed study. We also raised perspectives of using source models for ground motion prediction and the possibility of full-dynamic inversion.
C1 [Yue, Han; Zhang, Yong; Ge, Zengxi; Wang, Teng; Zhao, Li] Peking Univ, Sch Earth & Space Sci, Beijing 200871, Peoples R China.
C3 Peking University
RP Yue, H (corresponding author), Peking Univ, Sch Earth & Space Sci, Beijing 200871, Peoples R China.
EM yue.han@pku.edu.cn
TC 38
Z9 47
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1674-7313
EI 1869-1897
PD APR
PY 2020
VL 63
IS 4
BP 492
EP 511
DI 10.1007/s11430-019-9549-1
SC Geology
UT WOS:000519897000003
ER

PT J
AU Li, CR
   Wang, M
   Chen, F
   Coulthard, TJ
   Wang, L
AF Li, Congrong
   Wang, Ming
   Chen, Fang
   Coulthard, Thomas J.
   Wang, Lei
TI Integrating the SLIDE model within CAESAR-Lisflood: Modeling the
   ?rainfall-landslide-flash flood? disaster chain mechanism under
   landscape evolution in a mountainous area
SO CATENA
DT Article
DE CAESAR-Lisflood model; SLIDE model; Disaster chain; Mass movement;
   Digital disaster reduction
ID INDUCED SHALLOW LANDSLIDES; WENCHUAN EARTHQUAKE; SYSTEMS
AB The interaction mechanism between the dynamically changing environment and the subsequent natural hazards in the years following an earthquake has been studied based on a multi-temporal remote sensing dataset and continually measured data. However, how to quantitatively model this interaction mechanism has not been fully addressed. In this study, we first modeled the interaction mechanism between the 'rainfall-landslide-flash flood' disaster chain and the dynamically changing environment in mountainous areas by incorporating the SLopeInfiltration-Distributed Equilibrium (SLIDE) model within the landscape evolution model (CAESAR-Lisflood) and then applied the integrated CAESAR-Lisflood model in a Wenchuan earthquake-stricken area. The results demonstrated that the landslide susceptibility under extreme rainfall can be predicted effectively based on the integrated CAESAR-Lisflood model and that new/enlarged landslides occur more easily in mountain valleys, near the valley outlet, and in the main steep gullies. Most of the high landslide susceptibility areas are not located in coseismic landslide areas with high vegetation recovery. The landslide legacy effects had a significant influence on the landscape erosion and deposition processes and a great effect on the spatial distribution pattern of the material redistribution in the basin, which in turn affected the subsequent disaster occurrence. The integrated CAESAR-Lisflood model compensates for the effect of the "rainfall-landslide-flash flood" disaster chain on the process of erosion and deposition, improves the model's applicability in earthquake-stricken areas, and provides scientific information for regional disaster management and reduction.
C1 [Li, Congrong; Chen, Fang; Wang, Lei] Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China.
   [Li, Congrong; Chen, Fang; Wang, Lei] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Wang, Ming] Beijing Normal Univ, Sch Natl Safety&Emergency Management, Beijing 100875, Peoples R China.
   [Chen, Fang] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
   [Coulthard, Thomas J.] Univ Hull, Sch Environm Sci, Kingston Upon Hull, England.
C3 Chinese Academy of Sciences; International Research Center of Big Data
   for Sustainable Development Goals; Chinese Academy of Sciences;
   Aerospace Information Research Institute, CAS; Beijing Normal
   University; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS; University of Hull
RP Wang, L (corresponding author), Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China.; Wang, L (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.; Wang, M (corresponding author), Beijing Normal Univ, Sch Natl Safety&Emergency Management, Beijing 100875, Peoples R China.
EM wangming@bnu.edu.cn; wanglei@radi.ac.cn
TC 18
Z9 20
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD JUN 15
PY 2023
VL 227
AR 107124
DI 10.1016/j.catena.2023.107124
EA APR 2023
SC Geology; Agriculture; Water Resources
UT WOS:000975166600001
ER

PT J
AU Wu, SL
   Di, BF
   Ustin, SL
   Wong, MS
   Adhikari, BR
   Zhang, RX
   Luo, MT
AF Wu, Shaolin
   Di, Baofeng
   Ustin, Susan L.
   Wong, Man Sing
   Adhikari, Basanta Raj
   Zhang, Ruixin
   Luo, Maoting
TI Dynamic Characteristics of Vegetation Change Based on Reconstructed
   Heterogenous NDVI in Seismic Regions
SO REMOTE SENSING
DT Article
DE NDVI reconstruction; Wenchuan earthquake; vegetation recovery;
   landslides
ID TIME-SERIES; SPOT-VGT; ANTECEDENT EARTHQUAKES; COMBINED IMPACTS;
   NEURAL-NETWORKS; TREND ANALYSIS; MISSING DATA; TERRA MODIS; GREAT-BASIN;
   AVHRR GIMMS
AB The need to protect forests and enhance the capacity of mountain ecosystems is highlighted in the U.N.'s Sustainable Development Goal (SDG) 15. The worst-hit areas of the 2008 Wenchuan Earthquake in southwest China were mountainous regions with high biodiversity and the impacted area is typical of other montane regions, with the need for detecting vegetation changes following the impacts of catastrophes. While the widely used remotely sensed vegetation indicator NDVI is available from various satellite data sources, these satellites are available for different monitoring periods and durations. Combining these datasets proved challenging to make a continuous characterization of vegetation change over an extended time period. In this study, compared with linear regression, multiple linear regression, and random forest, Convolutional Neural Networks (CNNs) performed best with an average R-2 of 0.819 (leave-one-out cross-validation). Thus, the CNNs model was selected to establish the map of the overlapping periods of two remote-sensing products: SPOT-VGT NDVI and PROBA-V NDVI, to reconstruct a SPOT-VGT NDVI for the period from June 2014 to December 2018 in the worst-hit areas of the Wenchuan earthquake. We analyzed the original and reconstructed SPOT-VGT NDVI in the hard-hit areas of the Wenchuan earthquake from 1999 to 2018, and we concluded that NDVI showed an overall upward trend throughout the study period, but experienced a sharp decline in 2008 and reached its lowest value a year later (2009). Vegetation recovery was rapid from 2009 until 2011 after which, it returned to a pattern of slower natural growth (2012-2018). The Longmenshan fault zone experienced the greatest vegetation damage and initiation of recovery there has caused the overall regional average recovery to lag by 1-2 years. In areas where the land was denuded of vegetation (i.e., effectively all vegetation was stripped from the surface) after the earthquake, the damage exceeded what was experienced anywhere else in the entire study area, and by 2018 it remained unrestored. In the 15 years since the earthquake, the areas that were denuded were expected to recover to the level of restoration equivalent with the NDVI of 2007, as was the case in other earthquake-damaged regions. In addition to the earthquake and the immediate loss of vegetation, the Chinese government's Grain for Green Policy, the elevation ranges within the region, the forest's phenological conditions, and human activities all had an impact on vegetation recovery and restoration. The reconstructed NDVI provides a long-term continuous record, which contributes to the identifying changes that are improving predictive forest recovery models and to better vegetation management following catastrophic disturbances, such as earthquakes.
C1 [Wu, Shaolin; Zhang, Ruixin; Luo, Maoting] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
   [Wu, Shaolin; Wong, Man Sing] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong, Peoples R China.
   [Di, Baofeng; Adhikari, Basanta Raj] Sichuan Univ, Hong Kong Polytech Univ, Inst Disaster Management & Reconstruct, Chengdu 610207, Peoples R China.
   [Ustin, Susan L.] Univ Calif Davis, Inst Environm, Davis, CA 95616 USA.
   [Wong, Man Sing] Hong Kong Polytech Univ, Res Inst Land & Space, Hong Kong, Peoples R China.
   [Adhikari, Basanta Raj] Tribhuvan Univ, Dept Civil Engn, Pulchowk Campus, Lalitpur 44600, Nepal.
C3 Sichuan University; Hong Kong Polytechnic University; Sichuan
   University; Hong Kong Polytechnic University; University of California
   System; University of California Davis; Hong Kong Polytechnic
   University; Tribhuvan University
RP Di, BF (corresponding author), Sichuan Univ, Hong Kong Polytech Univ, Inst Disaster Management & Reconstruct, Chengdu 610207, Peoples R China.
EM dibaofeng@scu.edu.cn
TC 5
Z9 6
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD JAN
PY 2023
VL 15
IS 2
AR 299
DI 10.3390/rs15020299
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000916109400001
ER

PT J
AU Stramondo, S
   Trasatti, E
   Albano, M
   Moro, M
   Chini, M
   Bignami, C
   Polcari, M
   Saroli, M
AF Stramondo, Salvatore
   Trasatti, Elisa
   Albano, Matteo
   Moro, Marco
   Chini, Marco
   Bignami, Christian
   Polcari, Marco
   Saroli, Michele
TI Uncovering deformation processes from surface displacements
SO JOURNAL OF GEODYNAMICS
DT Review
DE SAR; InSAR; Earth observation; Surface displacements; Satellite
   missions; Advanced InSAR; Earthquake studies; Volcanic studies; Tectonic
   process; Coseismic studies; Soil liquefaction; Post-seismic studies;
   Interseismic studies; Volcanic unrest; Pre-eruptive phase; Eruptive
   phase
ID NORTH ANATOLIAN FAULT; RADAR INTERFEROMETRY; HECTOR MINE; POSTSEISMIC
   DEFORMATION; CAMPI-FLEGREI; NEW-ZEALAND; GEODETIC OBSERVATIONS; WENCHUAN
   EARTHQUAKE; INSAR OBSERVATIONS; SATELLITE RADAR
AB Today, satellite remote sensing has reached a key role in Earth Sciences. In particular, Synthetic Aperture Radar (SAR) sensors and SAR Interferometry (InSAR) techniques are widely used for the study of dynamic processes occurring inside our living planet. Over the past 3 decades, InSAR has been applied for mapping topography and deformation at the Earth's surface. These maps are widely used in tectonics, seismology, geomorphology, and volcanology, in order to investigate the kinematics and dynamics of crustal faulting, the causes of postseismic and interseismic displacements, the dynamics of gravity driven slope failures, and the deformation associated with subsurface movement of water, hydrocarbons or magmatic fluids. (C) 2016 Elsevier Ltd. All rights reserved.
C1 [Stramondo, Salvatore; Trasatti, Elisa; Albano, Matteo; Moro, Marco; Bignami, Christian; Polcari, Marco; Saroli, Michele] Ist Nazl Geofis & Vulcanol, Via Vigna Murata 605, I-00143 Rome, Italy.
   [Chini, Marco] Luxembourg Inst Sci & Technol, 5 Ave Hauts Fourneaux, L-4362 Esch Sur Alzette, Luxembourg.
   [Saroli, Michele] Univ Cassino & Southern Lazio, Dept Civil & Mech Engn DICeM, Via G di Biasio 43, I-03043 Cassino, Italy.
C3 Istituto Nazionale Geofisica e Vulcanologia (INGV); Luxembourg Institute
   of Science & Technology; University of Cassino
RP Stramondo, S (corresponding author), Ist Nazl Geofis & Vulcanol, Via Vigna Murata 605, I-00143 Rome, Italy.
EM salvatore.stramondo@ingv.it
TC 13
Z9 13
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0264-3707
PD DEC
PY 2016
VL 102
BP 58
EP 82
DI 10.1016/j.jog.2016.08.001
SC Geochemistry & Geophysics
UT WOS:000389729400005
ER

PT J
AU Xu, M
   Cao, CX
   Zhang, H
   Guo, JP
   Nakane, K
   He, QS
   Guo, JH
   Chang, CY
   Bao, YF
   Gao, MX
   Li, XW
AF Xu, Min
   Cao, Chunxiang
   Zhang, Hao
   Guo, Jianping
   Nakane, Kaneyuki
   He, Qisheng
   Guo, Jianghong
   Chang, Chaoyi
   Bao, Yunfei
   Gao, Mengxu
   Li, Xiaowen
TI Change detection of an earthquake-induced barrier lake based on remote
   sensing image classification
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID SICHUAN; DAMAGE
AB The earthquake-induced barrier lakes that are caused by landslides are at risk of bursting after excessive rainfall, and they are a serious threat to the surrounding residents. This paper proposes a change detection approach of the barrier lake using the method of post-classification comparison combined with background subtraction. The case studied in the paper is the detection of the Tangjiashan barrier lake, which is one of the largest lakes induced by the Wenchuan Earthquake on 12 May 2008. Both the pre- (31 March 2007) and post-earthquake (16 May 2008) images of the Advanced Land Observing Satellite (ALOS) Advanced Visible and Near Infrared Radiometer type 2 (AVINER-2) were collected in the paper. The results show that the river widened through the Zhangping area, increasing from 90m pre-earthquake to 545m post-earthquake, and the surface area of the barrier lake increased from 0.945 km2 to 1.471 km2.
C1 [Xu, Min; Cao, Chunxiang; Zhang, Hao; He, Qisheng; Guo, Jianghong; Chang, Chaoyi; Bao, Yunfei; Gao, Mengxu; Li, Xiaowen] Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
   [Xu, Min; Cao, Chunxiang; Zhang, Hao; He, Qisheng; Guo, Jianghong; Chang, Chaoyi; Bao, Yunfei; Gao, Mengxu; Li, Xiaowen] Beijing Normal Univ, Beijing 100101, Peoples R China.
   [Xu, Min; He, Qisheng; Guo, Jianghong; Chang, Chaoyi; Bao, Yunfei; Gao, Mengxu] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China.
   [Guo, Jianping] Chinese Acad Meteorol Sci, China Meteorol Adm, Ctr Atmosphere Watch & Serv, Beijing 100081, Peoples R China.
   [Nakane, Kaneyuki] Hiroshima Univ, Fac Integrated Arts & Sci, Dept Environm Studies, Hiroshima 730, Japan.
C3 Chinese Academy of Sciences; Beijing Normal University; Chinese Academy
   of Sciences; University of Chinese Academy of Sciences, CAS; China
   Meteorological Administration; Chinese Academy of Meteorological
   Sciences (CAMS); Hiroshima University
RP Cao, CX (corresponding author), Chinese Acad Sci, Jointly Sponsored Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
EM cao413@irsa.ac.cn
TC 31
Z9 40
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2010
VL 31
IS 13
BP 3521
EP 3534
AR PII 924648222
DI 10.1080/01431161003727689
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000280282000014
ER

PT J
AU Mahmood, I
   Iqbal, MF
   Shahzad, MI
AF Mahmood, Irfan
   Iqbal, Muhammad Farooq
   Shahzad, Muhammad Imran
TI Precursor anomalies prior to the 2006 Java and 2016 Yujing earthquakes
SO JOURNAL OF GEOPHYSICS AND ENGINEERING
DT Article
DE SLHF; satellite data; earthquake; precursor anomaly; geomagnetic storm
ID LATENT-HEAT FLUX; WENCHUAN EARTHQUAKE; GUJARAT EARTHQUAKE; SATELLITE;
   DISTURBANCES; MECHANISM; CHINA; TIME
AB This study presents analysis of surface latent heat flux (SLHF), disturbance storm time (Dst) index and auroral electrojet index (AE) variations prior to the M-w 6.3 Java (Indonesia) and M-w 6.4 Yujing (Taiwan) earthquakes. SLHF results were obtained using satellite remote sensing techniques and reanalysis datasets. Multi-year background data was utilized to compute anomalies. The results exhibit spatial and temporal anomalous variations of SLHF before the main event. SLHF anomalies usually occurred 1-3 weeks prior to the earthquake. These variations were caused due to temperature increase and the release of gases before the earthquake. The release of energy was concentrated along the epicenter and regional fault lines. Dst and AE indices analysis show the presence of geomagnetic storm prior to the occurrence of earthquakes and the synchronization of geomagnetic surges and seismicity. The study will help to identify precursor anomalies in regions prone to earthquakes.
C1 [Mahmood, Irfan; Iqbal, Muhammad Farooq; Shahzad, Muhammad Imran] COMSATS Inst Informat Technol, Dept Meteorol, Islamabad, Pakistan.
C3 COMSATS University Islamabad (CUI)
RP Mahmood, I (corresponding author), COMSATS Inst Informat Technol, Dept Meteorol, Islamabad, Pakistan.
EM irfan-mahmood@outlook.com
TC 6
Z9 6
PU IOP PUBLISHING LTD
PI BRISTOL
PA TEMPLE CIRCUS, TEMPLE WAY, BRISTOL BS1 6BE, ENGLAND
SN 1742-2132
EI 1742-2140
PD AUG
PY 2018
VL 15
IS 4
BP 1506
EP 1516
DI 10.1088/1742-2140/aab622
SC Geochemistry & Geophysics
UT WOS:000431401100009
ER

PT J
AU Geng, C
   Xu, C
   Li, L
   Gao, HR
AF Geng, Chong
   Xu, Chong
   Li, Lei
   Gao, Huiran
TI Landslide Inventory Mapping in the Upper Minjiang River, Eastern Tibetan
   Plateau, Using Multi-Source Satellite Remote Sensing
SO TRANSACTIONS IN GIS
DT Article
DE eastern margin of the Tibetan plateau; Google Earth; landslide
   inventory; upper Minjiang River; visual interpretation
ID VISUAL INTERPRETATION; SPATIAL-DISTRIBUTION; WENCHUAN EARTHQUAKE; CHINA;
   DATABASE; SICHUAN
AB Located on the eastern edge of the Tibetan Plateau, the upper Minjiang River region is highly prone to landslides due to unstable geology and frequent seismic activity. While landslide susceptibility has been studied, limited attention has been given to the spatial-temporal patterns of ancient or relic landslides. This study focuses on the Mao County-Diexi Town section, using Google Earth images and human-computer interaction methods to identify and analyze relic landslides. A total of 494 landslides were mapped, covering approximately 141 km2. The highest landslide number density (5 km radius) is 0.867/km2, with a maximum area density of 45.8%. Average height and length are 414.35 and 697.77 m, respectively. This comprehensive inventory improves upon previous datasets and provides crucial baseline data for understanding regional landslide development, supporting geohazard prevention and risk assessment efforts.
C1 [Geng, Chong; Xu, Chong; Gao, Huiran] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.
   [Geng, Chong; Xu, Chong; Gao, Huiran] Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
   [Li, Lei] Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher & Environm Coevolut, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.; Xu, C (corresponding author), Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
EM chongxu@ninhm.ac.cn
TC 0
Z9 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1361-1682
EI 1467-9671
PD NOV 30
PY 2025
VL 29
IS 8
SI SI
AR e70165
DI 10.1111/tgis.70165
SC Geography
UT WOS:001627679500001
ER

PT J
AU Sato, HP
   Harp, EL
AF Sato, H. P.
   Harp, E. L.
TI Interpretation of earthquake-induced landslides triggered by the 12 May
   2008, M7.9 Wenchuan earthquake in the Beichuan area, Sichuan Province,
   China using satellite imagery and Google Earth
SO LANDSLIDES
DT Article
DE Landslides; Sichuan; Wenchuan; Earthquake; Google Earth; FORMOSAT-2;
   SPOT5; Satellite
AB The 12 May 2008 M7.9 Wenchuan earthquake in the People's Republic of China represented a unique opportunity for the international community to use commonly available GIS (Geographic Information System) tools, like Google Earth (GE), to rapidly evaluate and assess landslide hazards triggered by the destructive earthquake and its aftershocks. In order to map earthquake-triggered landslides, we provide details on the applicability and limitations of publicly available 3-day-post- and pre-earthquake imagery provided by GE from the FORMOSAT-2 (formerly ROCSAT-2; Republic of China Satellite 2). We interpreted landslides on the 8-m-resolution FORMOSAT-2 image by GE; as a result, 257 large landslides were mapped with the highest concentration along the Beichuan fault. An estimated density of 0.3 landslides/km(2) represents a minimum bound on density given the resolution of available imagery; higher resolution data would have identified more landslides. This is a preliminary study, and further study is needed to understand the landslide characteristics in detail. Although it is best to obtain landslide locations and measurements from satellite imagery having high resolution, it was found that GE is an effective and rapid reconnaissance tool.
C1 [Sato, H. P.] Geog Survey Inst, Geog & Crustal Dynam Res Ctr, Tsukuba, Ibaraki 3050811, Japan.
   [Harp, E. L.] US Geol Survey, Denver Fed Ctr, Denver, CO 80225 USA.
C3 United States Department of the Interior; United States Geological
   Survey
RP Sato, HP (corresponding author), Geog Survey Inst, Geog & Crustal Dynam Res Ctr, Tsukuba, Ibaraki 3050811, Japan.
EM hsato@gsi.go.jp
TC 129
Z9 162
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JUN
PY 2009
VL 6
IS 2
BP 153
EP 159
DI 10.1007/s10346-009-0147-6
SC Engineering; Geology
UT WOS:000266262300007
ER

PT J
AU Yang, WT
   Qi, WW
   Wang, M
   Zhang, JJ
   Zhang, Y
AF Yang, Wentao
   Qi, Wenwen
   Wang, Ming
   Zhang, Jianjun
   Zhang, Yan
TI Spatial and temporal analyses of post-seismic landslide changes near the
   epicentre of the Wenchuan earthquake
SO GEOMORPHOLOGY
DT Article
DE Post-seismic landslides; Spatial and temporal changes; Remote sensing;
   Debris flow
ID 2005 KASHMIR EARTHQUAKE; VEGETATION RECOVERY; IMPACTS
AB Major earthquakes in mountain regions have persistent and significant influences on post-seismic landslides but their details have not been well understood. This work uses multi-year high-resolution satellite images and terrain parameters, such as elevation, slope, and aspect, to examine the topographic changes of post-seismic landslides. Despite disturbances during rainy months, landslide areas decreased significantly from 2008 to 2013 in all terrain parameters, indicating that landslide activity near the epicentre has been recovering to the pre-seismic level. The emergence of an increasingly active landslide type shows that landslide debris has been moving from hillslopes to valleys, which could impact post-seismic debris flows. The findings of this work provide important information for post-seismic infrastructure re-construction and disaster prevention in future mountain earthquake events. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Yang, Wentao; Zhang, Jianjun; Zhang, Yan] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing, Peoples R China.
   [Qi, Wenwen] Beijing Twenty First Century Sci & Technol Dev Co, Beijing, Peoples R China.
   [Wang, Ming] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China.
   [Wang, Ming] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing, Peoples R China.
C3 Beijing Forestry University; Beijing Normal University; Beijing Normal
   University
RP Yang, WT (corresponding author), Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing, Peoples R China.
EM yang_wentao@bjfu.edu.cn
TC 65
Z9 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD JAN 1
PY 2017
VL 276
BP 8
EP 15
DI 10.1016/j.geomorph.2016.10.010
SC Physical Geography; Geology
UT WOS:000388777800002
ER

PT J
AU Zhang, S
   Zhang, LM
   Peng, M
   Zhang, LL
   Zhao, HF
   Chen, HX
AF Zhang, S.
   Zhang, L. M.
   Peng, M.
   Zhang, L. L.
   Zhao, H. F.
   Chen, H. X.
TI Assessment of risks of loose landslide deposits formed by the 2008
   Wenchuan earthquake
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID INDUCED SLOPE FAILURE; MOBILITY; HAZARD; SUSCEPTIBILITY; ANGLE
AB A Geographic Information System (GIS)-based quantitative risk assessment methodology was adopted to evaluate the risks of loose deposits formed by the 2008 Wenchuan earthquake along a highway near the epicenter. A total of 305 loose deposits with a total volume of 4.0 x 10(7) m(3) has been identified. A physical model was used to determine the failure probability of these loose deposits under six rainfall scenarios, assuming the loose deposits as infinite slopes. The calculated probability of rain-induced slope failures is verified by the recorded landslides at the same site during a storm in 2010. Seventy-nine out of the 112 rain-induced loose deposit failures are predicted by the reliability analysis, with an accuracy of 71%. The results of reliability analysis and information on the consequence of these rain-induced landslides enable the estimation of the annual societal and individual risks of the loose deposits. Under the rainfall scenarios of 30 mm/12 h and 70 mm/12 h, the estimated annual societal risks reach 8.8 and 7.5, respectively, and the individual risks reach 0.05 and 0.04, respectively, which are very high compared with present risk acceptance criteria. The preliminary assessment provides a benchmark for studying the long-term risks of these loose deposits and engineering decision.
C1 [Zhang, S.; Zhang, L. M.; Peng, M.; Zhao, H. F.; Chen, H. X.] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China.
   [Zhang, L. L.] Shanghai Jiao Tong Univ, Dept Civil Engn, Shanghai 200030, Peoples R China.
C3 Hong Kong University of Science & Technology; Shanghai Jiao Tong
   University
RP Zhang, LM (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Clear Water Bay, Hong Kong, Peoples R China.
EM cezhangl@ust.hk
TC 66
Z9 74
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PY 2012
VL 12
IS 5
BP 1381
EP 1392
DI 10.5194/nhess-12-1381-2012
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000304061800012
ER

PT J
AU Li, N
   Wang, R
   Liu, YB
   Du, KN
   Chen, JQ
   Deng, YK
AF Li, Ning
   Wang, Robert
   Liu, Yabo
   Du, Kangning
   Chen, Jiaqi
   Deng, Yunkai
TI Robust river boundaries extraction of dammed lakes in mountain areas
   after Wenchuan Earthquake from high resolution SAR images combining
   local connectivity and ACM
SO ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
DT Article
DE Airborne SAR imagery; River boundaries extraction; Dammed lakes; Local
   connectivity; ACM
ID THRESHOLD SELECTION METHOD; ACTIVE CONTOURS DRIVEN; SEGMENTATION
AB River boundaries extraction from SAR imagery is valuable for flood monitoring and damage assessment. Several rivers, parts of which include dammed lakes caused by landslides and rock avalanches triggered by the 2008 Wenchuan Earthquake, were taken as a case study for robust extraction. In this paper, a novel state-of-the-art approach for automated river boundaries extraction using high resolution synthetic aperture radar (SAR) intensity imagery is presented. The key of our approach lies in the combined usage of local connectivity feature of the river and a region-based active contours model (ACM) in a variational level set framework to differentiate between river and the background. First, sub-patched intensity thresholding segmentation is applied to SAR imagery. Pixels with intensities below the threshold are selected as potential river pixels while the others are potential background pixels. Second, potential river pixels are divided into several connected regions, considering that the river is a big connected region, only relatively bigger regions with similar contrast value are retained as the regions of interest (ROI) while others are noise due to pixel-level decision approach in the first step or shadows due to mountains terrain. Third, the ROI and their contours are regarded as local region and the initial contours to refine the river boundaries, which are used to reduce the scene complexity of ACM and its sensitivity to initial situation, respectively. A novel ACM driven by local image fitting (LIF) energy is presented and used for river boundaries extraction for the first time, which is not only robust against inhomogeneity widely spread in SAR imagery but also can work with efficiency without the need of re-initialization during iteration compared to traditional ACM. The proposed approach was tested on numerous high resolution airborne SAR images containing connected rivers or dammed lakes obtained by Chinese domestic radar system after Wenchuan Earthquake. For the overall dataset, the average commission error, omission error and root mean squared error were 6.5%, 3.3%, and 0.51, respectively. The average computational time for 4000 by 4000 image size was 21 min using a PC-based MATLAB platform. Our experimental results demonstrate that the proposed approach is robust and effective. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
C1 [Li, Ning; Wang, Robert; Liu, Yabo; Du, Kangning; Chen, Jiaqi; Deng, Yunkai] Chinese Acad Sci, Inst Elect, Space Microwave Remote Sensing Syst Dept, Beijing 100190, Peoples R China.
   [Li, Ning; Du, Kangning] Univ Chinese Acad Sci, Beijing 100039, Peoples R China.
   [Chen, Jiaqi] Hohai Univ, Coll Comp & Informat Engn, Nanjing 210098, Jiangsu, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Electronics, CAS; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS;
   Hohai University
RP Wang, R (corresponding author), Chinese Acad Sci, Inst Elect, 19,North 4th Ring Rd West, Beijing 100190, Peoples R China.
EM yuwang@mail.ie.ac.cn
TC 30
Z9 38
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0924-2716
EI 1872-8235
PD AUG
PY 2014
VL 94
BP 91
EP 101
DI 10.1016/j.isprsjprs.2014.04.020
SC Physical Geography; Geology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000339134000009
ER

PT J
AU Wang, M
   Liu, M
   Yang, SN
   Shi, PJ
AF Wang, Ming
   Liu, Min
   Yang, Saini
   Shi, Peijun
TI Incorporating Triggering and Environmental Factors in the Analysis of
   Earthquake-Induced Landslide Hazards
SO INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
DT Article
DE Earthquake-induced landslides; Environmental factors; Triggering
   factors; Hazard analysis; Newmark displacement; Wenchuan earthquake
ID LOGISTIC-REGRESSION; SUSCEPTIBILITY; CALIFORNIA; MODELS; RATIO; AREA
AB Pingwu County of Sichuan Province was severely hit by the 12 May 2008 Wenchuan Earthquake and experienced widely distributed earthquake-induced landslides. We proposed an integrated method that incorporates landslide triggering factors embedded in the Newmark displacement computation and other environmental factors, expressed as lithology, land-use type, vegetation cover (Normalized Difference Vegetation Index, NDVI), elevation, and profile and plan curvature, in the analysis of earthquake-induced landslide hazards in the study area. The earthquake-induced landslide inventory of this area was obtained by visual interpretation of two high-resolution SPOT-5 images before and after the earthquake. We used GIS tools to generate an equal number of landslide and non-landslide cell samples in a 30-m grid map, and assigned triggering and environmental variables to each cell. A logistic regression model was built to investigate the occurrence of earthquake-induced landslides. The results show that Newmark displacement (in which triggering factors are embedded) and lithology (as an environmental factor) were the two dominant variables controlling landslide occurrence. Other environmental factors, including NDVI, land-use type, and elevation, also significantly affected landslide occurrences. Overall 81.2 % correctness was achieved in the regression model. The results confirm the predictive power of our method, which integrates both triggering and environmental factors in modeling earthquake-induced landslides.
C1 [Wang, Ming; Liu, Min; Yang, Saini; Shi, Peijun] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   [Wang, Ming; Liu, Min; Yang, Saini; Shi, Peijun] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Wang, M (corresponding author), Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
EM wangming@bnu.edu.cn
TC 28
Z9 32
PU SPRINGEROPEN
PI LONDON
PA CAMPUS, 4 CRINAN ST, LONDON, N1 9XW, ENGLAND
SN 2095-0055
EI 2192-6395
PD JUN
PY 2014
VL 5
IS 2
BP 125
EP 135
DI 10.1007/s13753-014-0020-7
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000353357700003
ER

PT J
AU Bai, SB
   Lu, P
   Wang, J
AF Bai Shi-biao
   Lu Ping
   Wang Jian
TI Landslide susceptibility assessment of the Youfang catchment using
   logistic regression
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Landslide; Susceptibility map; Logistic regression; Geographic
   Information System (GIS); Youfang catchment
ID EARTHQUAKE-TRIGGERED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE; 3 GORGES
   AREA; LAND-COVER; GIS; ZONATION; HAZARD; VALIDATION; RAINFALL; NETWORK
AB A detailed landslide susceptibility map was produced in the Youfang catchment using logistic regression method with datasets developed for a geographic information system (GIS). Known as one of the most landslide-prone areas in China, the Youfang catchment of Longnan mountain region, which lies in the transitional area among Qinghai-Tibet Plateau, loess Plateau and Sichuan Basin, was selected as a representative case to evaluate the frequency and distribution of landslides. Statistical relationships for landslide susceptibility assessment were developed using landslide and landslide causative factor databases. Logistic regression (LR) was used to create the landslide susceptibility maps based on a series of available data sources: landslide inventory; distance to drainage systems, faults and roads; slope angle and aspect; topographic elevation and topographical wetness index, and land use. The quality of the landslide susceptibility map produced in this paper was validated and the result can be used for designing protective and mitigation measures against landslide hazards. The landslide susceptibility map is expected to provide a fundamental tool for landslide hazards assessment and risk management in the Youfang catchment.
C1 [Bai Shi-biao; Wang Jian] Nanjing Normal Univ, Coll Geog Sci, Key Lab Virtual Geog Environm, Natl Educ Adm, Nanjing 210023, Jiangsu, Peoples R China.
   [Bai Shi-biao; Wang Jian] Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
   [Bai Shi-biao; Wang Jian] Nanjing Normal Univ, Jiangsu Key Lab Environm Change & Ecol Construct, Nanjing 210023, Jiangsu, Peoples R China.
   [Lu Ping] Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
C3 Nanjing Normal University; Nanjing Normal University; Nanjing Normal
   University; Tongji University
RP Lu, P (corresponding author), Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
EM shibiaobai@njnu.edu.cn; luping@tongji.edu.cn; wangjian@njnu.edu.cn
TC 38
Z9 41
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUL
PY 2015
VL 12
IS 4
BP 816
EP 827
DI 10.1007/s11629-014-3171-5
SC Environmental Sciences & Ecology
UT WOS:000358671900003
ER

PT J
AU Jiang, YJ
   Wang, CX
   Zhao, XD
AF Jiang, Yujing
   Wang, Chunxiang
   Zhao, Xiaodong
TI Damage assessment of tunnels caused by the 2004 Mid Niigata Prefecture
   Earthquake using Hayashi's quantification theory type II
SO NATURAL HAZARDS
DT Article
DE Tunnel; Earthquake; Damage; Geographic information system (GIS);
   Hayashi's quantification theory type II
AB Mountain tunnels, being underground structures and situated deep within rock layers, are generally considered to suffer appreciably less damage from earthquakes than surface structures. However, it has been reported that many tunnels were damaged by the 1923 Great Kantou earthquake, the 1995 Great Hanshin Earthquake, the 1999 Taiwan Chi-Chi Earthquake, the 2004 Mid Niigata Prefecture Earthquake and the May 2008 Great Wenchuan Earthquake in China. In this study, the damaged tunnels resulted of the 2004 Mid Niigata Prefecture Earthquake are the study objects. The damage patterns are analyzed, and the information which is considered to be of influence, such as the distance to epicenter, the completion time, the geological conditions, etc., are collected. A database of the damaged tunnels has been created using a Geographic Information System (GIS). The influence ranking for these factors has been analyzed using Hayashi's quantification theory II. The degree of the tunnel damage has also been assessed using GIS and Hayashi's quantification theory II. The field investigation is in close agreement with the assessment results following Hayashi's quantification theory II.
C1 [Jiang, Yujing; Wang, Chunxiang] Nagasaki Univ, Dept Civil Engn, Nagasaki 8528521, Japan.
   [Jiang, Yujing] Shandong Univ Sci & Technol, Shandong 250061, Peoples R China.
   [Zhao, Xiaodong] Dalian Univ Technol, Res Ctr Geoenvironm Sci, Dalian 116622, Peoples R China.
C3 Nagasaki University; Shandong University of Science & Technology; Dalian
   University of Technology
RP Jiang, YJ (corresponding author), Nagasaki Univ, Dept Civil Engn, Nagasaki 8528521, Japan.
EM jiang@civil.nagasaki-u.ac.jp
TC 77
Z9 84
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
PD JUN
PY 2010
VL 53
IS 3
BP 425
EP 441
DI 10.1007/s11069-009-9441-9
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000277179300002
ER

PT J
AU Jing, F
   Shen, XH
   Kang, CL
   Xiong, P
AF Jing, F.
   Shen, X. H.
   Kang, C. L.
   Xiong, P.
TI Variations of multi-parameter observations in atmosphere related to
   earthquake
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID LATENT-HEAT FLUX; IONOSPHERIC ANOMALIES; TEMPERATURE; TIME
AB Anomalies of multi-parameters (outgoing longwave radiation, surface latent heat flux, air temperature, relative humidity, and air pressure) before the 12 May 2008 Wenchuan M-s =8.0 earthquake were discussed in order to obtain the seismic precursors. Multi-parameter data were computed based on multi-year background data. The results indicated that these parameters had significant variations prior to this event. The anomaly of outgoing longwave radiation was observed firstly, which gives an early warning. Next were air temperature, relative humidity, and air pressure, which had quasi-simultaneous variations in the basin and the mountain region close to the epicenter. The last was surface latent heat flux, which happened the day before this event. The characteristics of the parameter variations for this event are similar to other earthquakes, which is demonstrated in some other publications. The variations can be attributed to solid earth degassing and chemical reactions in the atmosphere. Additionally, the emission of gases from solid earth into the atmosphere could be ascribed to the tectonic stress of the Wenchuan earthquake.
C1 [Jing, F.; Shen, X. H.; Xiong, P.] China Earthquake Adm, Inst Earthquake Sci, Beijing, Peoples R China.
   [Kang, C. L.] China Earthquake Adm, China Earthquake Networks Ctr, Beijing, Peoples R China.
C3 China Earthquake Administration; China Earthquake Administration; China
   Earthquake Networks Center, CEA
RP Jing, F (corresponding author), China Earthquake Adm, Inst Earthquake Sci, Beijing, Peoples R China.
EM jennyfer1111@163.com
TC 69
Z9 80
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PY 2013
VL 13
IS 1
BP 27
EP 33
DI 10.5194/nhess-13-27-2013
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000314414000003
ER

PT J
AU Li, Q
   Zhang, JF
   Jiang, HB
AF Li, Qiang
   Zhang, Jingfa
   Jiang, Hongbo
TI Incorporating multi-source remote sensing in the detection of
   earthquake-damaged buildings based on logistic regression modelling
SO HELIYON
DT Article
ID 2003 BAM; COLLAPSED BUILDINGS; JAPAN EARTHQUAKE; SATELLITE IMAGES; SAR;
   IRAN; RADAR; MULTISENSOR; EXTRACTION; POSTEVENT
AB After an earthquake, efficiently and accurately acquiring information about damaged buildings can help reduce casualties. Earth observation data have been widely used to map affected areas after earthquakes. However, fine post -earthquake assessment results are needed to manage recovery and reconstruction and to estimate economic losses. In this paper, for quantification and precision purposes, a method of earthquake-induced building damage information extraction incorporating multi-source remote sensing data is proposed. The method consists of three steps : (1) Analysis of multisource features that describe texture, colour, and geometry, (2) rough set theory is carried out to further determine the feature parameters, (3) Logistic regression model (LRM) was built to describe the relationship between the occurrence and absence of destroyed buildings within an individual object. Old Beichuan County (centered at approximately 31.833 degrees N, 104.459 degrees E), China, the area most devastated by the Wenchuan earthquake on May 12, 2008, is used to test the proposed hypothesis. Multi-source remote sensing imagery include optical data, synthetic aperture radar (SAR) data, and digital surface model (DSM) data generated by interpolating light detection and ranging (LiDAR) point cloud data. Through comparison with the ground survey, the experimental results show that the detection accuracy of the proposed method is 94.2 %; the area under the receiver operating characteristic (ROC) curve is 0.827. The efficiency of the proposed method is demonstrated using 6 modes of data combination acquired from the same area in old Beichuan County. The approach is one of the first attempts to extract damaged buildings through the fusion of three types of data with different features. The approach addresses multivariate regression methodologies and compares the potential of features for application in the damage detection field.
C1 [Li, Qiang; Zhang, Jingfa; Jiang, Hongbo] Natl Inst Nat Hazards, Minist Emergency Management, Beijing 100085, Peoples R China.
RP Li, Q (corresponding author), Natl Inst Nat Hazards, Minist Emergency Management, Beijing 100085, Peoples R China.
EM liqiang08@163.com
TC 3
Z9 3
PU CELL PRESS
PI CAMBRIDGE
PA 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139 USA
EI 2405-8440
PD JUN 30
PY 2024
VL 10
IS 12
AR e32851
DI 10.1016/j.heliyon.2024.e32851
EA JUN 2024
SC Science & Technology - Other Topics
UT WOS:001253475000001
ER

PT J
AU Wang, X
   Li, SD
   Liu, HH
   Liu, L
   Zeng, S
   Tang, QM
AF Wang, Xiao
   Li, Shaoda
   Liu, Hanhu
   Liu, Liang
   Zeng, Sen
   Tang, Qimin
TI Landslide susceptibility assessment in Wenchuan County after the 5.12
   magnitude earthquake
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslides; Wenchuan; Susceptibility evaluation; Certainty factor;
   Random forest; Logistic regression
ID RAINFALL-INDUCED LANDSLIDES; FUZZY INFERENCE SYSTEM; DATA MINING
   TECHNIQUES; LOGISTIC-REGRESSION; DECISION TREE; RANDOM FOREST;
   PERFORMANCE EVALUATION; SPATIAL-DISTRIBUTION; GENETIC ALGORITHM; GIS
AB Wenchuan was designated as one of the earthquake-stricken areas after the 2008 5.12-magnitude Wenchuan earthquake. During the decade following the earthquake, many post-earthquake landslides have occurred, seriously threatening the property of the local population's lives and property. At present, there are few long-term spatiotemporal changes studies on landslides generated after the earthquake. The main aim of the present study is to use Landsat multi-period remote sensing image data, combined with post-earthquake landslide interpretation point data, to extract landslide point information from 2011, 2014, and 2018 to analyze the spatial evolution of landslides and define reliable susceptibility models for landslides in 2018 using an assessed certainty factor (CF), an integrated CF with random forest (RF), and an integrated CF with logistic regression (LR). The area under cure (AUC) was used to test the accuracy of the three models and obtain the most reflective susceptibility map. The results show that the RF-CF model produced the optimal result in terms of its AUC value (0.84). Over the past decade, the high-density area has become more concentrated than that of other grades and its coverage small, and its proportion has gradually decreased; the proportion of landslides in low-density areas has been increasing, and its distribution has become more concentrated. These research results fill the gap in the study of temporal and spatial changes in landslides after an earthquake and provide a scientific basis for disaster management and prediction in landslide-prone areas such as Wenchuan.
C1 [Wang, Xiao; Li, Shaoda; Liu, Hanhu; Liu, Liang; Zeng, Sen] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
   [Zeng, Sen] Dept Nat Resources Sichuan Prov, Informat Ctr, Chengdu 610072, Peoples R China.
   [Tang, Qimin] Guangzhou HuaKe Environm Protect Engn Co Ltd, Emergency Ctr, Guangzhou 510655, Peoples R China.
C3 Chengdu University of Technology
RP Li, SD (corresponding author), Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
EM lisd@cdut.edu.cn
TC 16
Z9 18
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD JUL
PY 2021
VL 80
IS 7
BP 5369
EP 5390
DI 10.1007/s10064-021-02280-9
EA MAY 2021
SC Engineering; Geology
UT WOS:000651716800002
ER

PT J
AU Chen, XL
   Yu, L
   Wang, MM
   Lin, CX
   Liu, CG
   Li, JY
AF Chen, X. L.
   Yu, L.
   Wang, M. M.
   Lin, C. X.
   Liu, C. G.
   Li, J. Y.
TI Brief Communication: Landslides triggered by the
   Ms=7.0 Lushan earthquake, China
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID 2008 WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; FAULT; INVENTORIES; GIS
AB Earthquake-triggered landslides have drawn much attention around the world because of the severe hazards they pose. The 20 April 2013 M-s = 7.0 Lushan Earthquake, which occurred in the Longmen Shan region in Sichuan province, China, triggered more than 1000 landslides throughout an area of about 2200 km(2), and completely blocked many roads and exacerbated overall transportation problems in the mountainous terrain. Preliminary landslide inventory is complied immediately following the earthquake, mainly based on the high-resolution remote sensing images. At the same time, the distribution of these landslides is statistically investigated to determine how the occurrence of landslides correlates with distance from the earthquake epicenter, slope steepness, seismic intensity and rock type. Statistic analysis is conducted using landslide point density (LPD), which is defined as the number of landslides per square kilometer. It is found that LPD has a strong positive correlation with slope gradients and a negative-exponential decline with the distance from the epicenter. The higher LPD values occur in younger strata systems like Quaternary and Tertiary sediments in the study area. Spatially, the triggered landslides are controlled by the causative faults and mainly concentrated around the epicenter. All the landslides are located within the area with seismic intensity >= VII and in line with seismic intensity. Generally, LPD value decreases with increasing distance from the epicenter, and sometimes landslides are densely distributed along the roads in the mountainous region. Also, this study reveals that the empirical relationship between distance and seismic magnitude is more suitable for estimating the land-slide concentration area during the Lushan earthquake compared to other methods.
C1 [Chen, X. L.; Yu, L.; Li, J. Y.] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Wang, M. M.] Earthquake Adm Sichuan Prov, Chengdu, Peoples R China.
   [Lin, C. X.] Beijing Inst Geol, Beijing 100120, Peoples R China.
   [Liu, C. G.] China Earthquake Networks Ctr, Beijing 100045, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration; Sichuan Earthquake Agency, CEA; China
   Earthquake Administration; China Earthquake Networks Center, CEA
RP Chen, XL (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM 04chxl@sina.com
TC 23
Z9 30
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PY 2014
VL 14
IS 5
BP 1257
EP 1267
DI 10.5194/nhess-14-1257-2014
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000337948700016
ER

PT J
AU Chen, W
   Pourghasemi, HR
   Panahi, M
   Kornejady, A
   Wang, JL
   Xie, XS
   Cao, SB
AF Chen, Wei
   Pourghasemi, Hamid Reza
   Panahi, Mahdi
   Kornejady, Aiding
   Wang, Jiale
   Xie, Xiaoshen
   Cao, Shubo
TI Spatial prediction of landslide susceptibility using an adaptive
   neuro-fuzzy inference system combined with frequency ratio, generalized
   additive model, and support vector machine techniques
SO GEOMORPHOLOGY
DT Article
DE Landslide spatial modeling; ANFIS-FR; GAM; SVM; China
ID 2008 WENCHUAN EARTHQUAKE; DATA-MINING TECHNIQUES; REMOTE-SENSING DATA;
   LOGISTIC-REGRESSION; CONDITIONAL-PROBABILITY; DECISION TREE; RANDOM
   FOREST; GIS; AREA; BIVARIATE
AB The spatial prediction of landslide susceptibility is an important prerequisite for the analysis of landslide hazards and risks inany area. This research uses three data mining techniques, such as an adaptive neuro-fuzzy inference system combined with frequency ratio (ANFIS-FR), a generalized additive model (GAM), and a support vector machine (SVM), for landslide susceptibility mapping in Hanyuan County,. China. In the first step, in accordance with a review of the previous literature, twelve conditioning factors, including slope aspect, altitude, slope angle, topographic wetness index (TWI), plan curvature, profile curvature, distance to rivers, distance to faults, distance to roads, land use, normalized difference vegetation index (NDVI), and lithology, were selected. In the second step, a collinearity test and correlation analysis between the conditioning factors and landslides were applied. In the third step, we used three advanced methods, namely, ANFIS-FR, GAM, and SVM, for landslide susceptibility modeling. Subsequently, the results of their accuracy were validated using a receiver operating characteristic curve. The results showed that all three models have good prediction capabilities, while the SVM model has the highest prediction rate of 0.875, followed by the ANFIS-FR and GAM models with prediction rates of 0.851 and 0.846, respectively. Thus, the landslide susceptibility maps produced in the study area can be applied for management of hazards and risks in landslide-prone Hanyuan County. (C) 2017 Elsevier B.V. All rights reserved.
C1 [Chen, Wei; Wang, Jiale; Xie, Xiaoshen] Xian Univ Sci & Technol, Coll Geol & Environm, Xian 710054, Shaanxi, Peoples R China.
   [Chen, Wei] Shandong Univ Sci & Technol, Shandong Prov Key Lab Deposit Mineralizat & Sedim, Qingdao 266590, Peoples R China.
   [Pourghasemi, Hamid Reza] Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz, Iran.
   [Panahi, Mahdi] Islamic Azad Univ, North Tehran Branch, Dept Geophys, Young Researchers & Elites Club, Tehran, Iran.
   [Kornejady, Aiding] Gorgon Univ Agr Sci & Nat Resources, Dept Watershed Management Engn, Gorgon, Iran.
   [Cao, Shubo] Sichuan Inst Nucl Geol, 35 Huaguan Rd, Chengdu 610052, Sichuan, Peoples R China.
C3 Xi'an University of Science & Technology; Shandong University of Science
   & Technology; Shiraz University; Islamic Azad University; Gorgan
   University of Agricultural Sciences & Natural Resources
RP Pourghasemi, HR (corresponding author), Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz, Iran.
EM hr.pourghasemi@shirazu.ac.ir
TC 240
Z9 253
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD NOV 15
PY 2017
VL 297
BP 69
EP 85
DI 10.1016/j.geomorph.2017.09.007
SC Physical Geography; Geology
UT WOS:000414818800005
ER

PT J
AU Xu, C
   Xu, XW
   Yao, X
   Dai, FC
AF Xu, Chong
   Xu, Xiwei
   Yao, Xin
   Dai, Fuchu
TI Three (nearly) complete inventories of landslides triggered by the May
   12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial
   distribution statistical analysis
SO LANDSLIDES
DT Article
DE The 2008 Wenchuan earthquake; Landslides; Inventory; Statistical
   analysis; Spatial distribution; Landslide area percentage; Landslide
   number density
ID PREFECTURE EARTHQUAKE; NIIGATA PREFECTURE; 1994 NORTHRIDGE; LOMA-PRIETA;
   MID-NIIGATA; SUSCEPTIBILITY; GIS; CALIFORNIA; RUPTURE; PATTERN
AB The May 12, 2008 Wenchuan earthquake of China (Mw 7.9 or Ms 8.0) triggered hundreds of thousands of landslides. Mapping such a large number of landslides is a major task, considering the large size of the affected area and the availability of pre- and post-earthquake remote sensing images. This paper compares three (nearly) complete landslide inventories that were compiled from visual image interpretation. The three inventories differ in the manner in which the landslides are represented, either as polygons, centroid points, or top points. Landslides in the three inventories use one-to-one correspondence. Each of the three inventories includes a large proportion of the 197,481 landslides triggered by the earthquake. These landslides were delineated as individual solid polygons and points using visual interpretation of high-resolution aerial photographs and satellite images acquired following the earthquake and verified by selected field checking throughout a broad area of approximately 110,000 km(2). These landslides cover a total area of approximately 1,160 km(2). Based on the inventories of landslide polygons and landslide centroid points, two types of density maps were constructed. Correlations of landslide occurrence with seismic, geologic, and topographic parameters were analyzed using the three landslide inventories. Statistical analysis of their spatial distribution was performed using both the landslide area percentage (LAP), defined as the percentage of the area affected by the landslides and the landslide number density (LND), defined as the number of landslides per square kilometer. There are two types of LNDs: the LND-centroid (based on the centroid point of the landslide) and the LND-top (based on the top point of the landslide). We used the three indexes to determine how the occurrence of the landslides correlates with elevation, slope angle, slope aspect, slope position, slope curvature, lithology, distance from the epicenter, seismic intensity, distance from the Yingxiu-Beichuan surface fault rupture, peak ground acceleration (PGA), and coseismic surface displacements (including horizontal, vertical, and total displacements). Both the LAP and the two types of LND values were observed to have continuous positive or negative correlations with the slope angle, slope curvature, distance from the epicenter and from the Yingxiu-Beichuan surface fault rupture, seismic intensity, and coseismic surface displacement. In addition, the highest values of the LAP and LND values appear at ranges from 1,200 to 3,000 m in elevation. Moreover, the landslides have preferred orientations, dominated by the eastern, southeastern, and southern directions. In addition, the sandstone, siltstone (Z), and granitic rocks experienced more concentrated landslides. No obvious correlations were observed between the LAP and LND values and slope position. Finally, we studied the orders of eight earthquake-triggered landslide impact factor effect on landslide occurrence.
   The 197,481 landslides triggered by the 2008 Wenchuan earthquake were delineated.
   Three landslide inventories were constructed: polygon, centroid, and top point inventories.
   The landslides were spatially analyzed with topographic, lithology, and seismic parameters.
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
   [Yao, Xin] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Dai, Fuchu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; China Earthquake Administration;
   Institute of Geology, CEA; China Geological Survey; Institute of
   Geomechanics, Chinese Academy of Geological Sciences; Chinese Academy of
   Geological Sciences; Chinese Academy of Sciences; Institute of Geology &
   Geophysics, CAS
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
EM xc11111111@126.com
TC 489
Z9 601
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JUN
PY 2014
VL 11
IS 3
BP 441
EP 461
DI 10.1007/s10346-013-0404-6
SC Engineering; Geology
UT WOS:000337061000009
ER

PT J
AU Lin, LX
   Chen, G
   Shi, W
   Jin, JC
   Wu, J
   Huang, FC
   Chong, Y
   Meng, Y
   Li, YJ
   Zhang, Y
AF Lin, Linxin
   Chen, Guan
   Shi, Wei
   Jin, Jiacheng
   Wu, Jie
   Huang, Fengchun
   Chong, Yan
   Meng, Yang
   Li, Yajun
   Zhang, Yi
TI Spatiotemporal Evolution Pattern and Driving Mechanisms of Landslides in
   the Wenchuan Earthquake-Affected Region: A Case Study in the Bailong
   River Basin, China
SO REMOTE SENSING
DT Article
DE landslide; evolution characteristics; state of activity; earthquake;
   rainfall; the Bailong River basin
ID RAINFALL THRESHOLDS; SPATIAL-DISTRIBUTION; SURFACE DEFORMATION; SHALLOW
   LANDSLIDES; INVENTORY; SUSCEPTIBILITY; INITIATION; AREA; INTERFEROMETRY;
   CALIFORNIA
AB Understanding the spatiotemporal evolution and driving mechanisms of landslides following a mega-earthquake at the catchment scale can lead to improved landslide hazard assessment and reduced related risk. However, little effort has been made to undertake such research in the Wenchuan earthquake-affected region, outside Sichuan Province, China. In this study, we used the Goulinping valley in the Bailong River basin in southern Gansu Province, China, as an example. By examining the multitemporal inventory, we revealed various characteristics of the spatiotemporal evolution of landslides over the past 13 years (2007-2020). We evaluated the activity of landslides using multisource remote-sensing technology, analyzed the driving mechanisms of landslides, and further quantified the contribution of landslide evolution to debris flow in the catchment. Our results indicate that the number of landslides increased by nearly six times from 2007 to 2020, and the total volume of landslides approximately doubled. The evolution of landslides in the catchment can be divided into three stages: the earthquake driving stage (2008), the coupled driving stage of earthquake and rainfall (2008-2017), and the rainfall driving stage (2017-present). Landslides in the upstream limestone area were responsive to earthquakes, while the middle-lower loess-phyllite-dominated reaches were mainly controlled by rainfall. Thus, the current landslides in the upstream region remain stable, and those in the mid-downstream are vigorous. Small landslides and mid-downstream slope erosion can rapidly provide abundant debris flow and reduce its threshold, leading to an increase in the frequency and scale of debris flow. This study lays the foundation for studying landslide mechanisms in the Bailong River basin or similar regions. It also aids in engineering management and landslide risk mitigation under seismic activity and climate change conditions.
C1 [Lin, Linxin; Chen, Guan; Jin, Jiacheng; Wu, Jie; Huang, Fengchun; Li, Yajun; Zhang, Yi] Lanzhou Univ, Sch Earth Sci, Lanzhou 730000, Peoples R China.
   [Lin, Linxin; Chen, Guan; Shi, Wei; Jin, Jiacheng; Wu, Jie; Huang, Fengchun; Chong, Yan; Li, Yajun; Zhang, Yi] Lanzhou Univ, Technol & Innovat Ctr Environm Geol & Geohazards, Lanzhou 730000, Peoples R China.
   [Chen, Guan; Li, Yajun; Zhang, Yi] Lanzhou Univ, Gansu Geohazards Field Observat & Res Stn, Lanzhou 730000, Peoples R China.
   [Shi, Wei; Chong, Yan] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
   [Meng, Yang] Lanzhou Country Garden Sch, Lanzhou 730000, Peoples R China.
C3 Lanzhou University; Lanzhou University; Lanzhou University; Lanzhou
   University
RP Chen, G (corresponding author), Lanzhou Univ, Sch Earth Sci, Lanzhou 730000, Peoples R China.; Chen, G (corresponding author), Lanzhou Univ, Technol & Innovat Ctr Environm Geol & Geohazards, Lanzhou 730000, Peoples R China.; Chen, G (corresponding author), Lanzhou Univ, Gansu Geohazards Field Observat & Res Stn, Lanzhou 730000, Peoples R China.
EM linlx20@lzu.edu.cn; gchen@lzu.edu.cn; shiw19@lzu.edu.cn;
   jinjch21@lzu.edu.cn; wuj21@lzu.edu.cn; huangfch21@lzu.edu.cn;
   zhongy2018@lzu.edu.cn; mengyang@brightscholar.com; yajunli@lzu.edu.cn;
   zhangyigeo@lzu.edu.cn
TC 8
Z9 9
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAY
PY 2022
VL 14
IS 10
AR 2339
DI 10.3390/rs14102339
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000801646000001
ER

PT J
AU Qu, TT
   Lu, P
   Liu, C
   Wu, HB
   Shao, XH
   Wan, H
   Li, N
   Li, RX
AF Qu, Tengteng
   Lu, Ping
   Liu, Chun
   Wu, Hangbin
   Shao, Xiaohang
   Wan, Hong
   Li, Nan
   Li, Rongxing
TI Hybrid-SAR Technique: Joint Analysis Using Phase-Based and
   Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring
SO REMOTE SENSING
DT Article
DE hybrid-SAR technique; joint analysis; phase-based SAR; amplitude-based
   SAR; giant complex landslide monitoring
ID PERMANENT SCATTERERS; NORTHERN CALIFORNIA; WENCHUAN EARTHQUAKE; D-INSAR;
   DISPLACEMENT; AREA; INTERFEROMETRY; ALGORITHM; TRACKING; IMAGES
AB Early detection and early warning are of great importance in giant landslide monitoring because of the unexpectedness and concealed nature of large-scale landslides. In China, the western mountainous areas are prone to landslides and feature many giant complex landslides, especially following the Wenchuan Earthquake in 2008. This work concentrates on a new technique, known as the "hybrid-SAR technique", that combines both phase-based and amplitude-based methods to detect and monitor large-scale landslides in Li County, Sichuan Province, southwestern China. This work aims to develop a robust methodological approach to promptly identify diverse landslides with different deformation magnitudes, sliding modes and slope geometries, even when the available satellite data are limited. The phase-based and amplitude-based techniques are used to obtain the landslide displacements from six TerraSAR-X Stripmap descending scenes acquired from November 2014 to March 2015. Furthermore, the application circumstances and influence factors of hybrid-SAR are evaluated according to four aspects: ( 1) quality of terrain visibility to the radar sensor; ( 2) landslide deformation magnitude and different sliding mode; ( 3) impact of dense vegetation cover; and ( 4) sliding direction sensitivity. The results achieved from hybrid-SAR are consistent with in situ measurements. This new hybrid-SAR technique for complex giant landslide research successfully identified representative movement areas, e.g., an extremely slow earthflow and a creeping region with a displacement rate of 1 cm per month and a typical rotational slide with a displacement rate of 2-3 cm per month downwards and towards the riverbank. Hybrid-SAR allows for a comprehensive and preliminary identification of areas with significant movement and provides reliable data support for the forecasting and monitoring of landslides.
C1 [Qu, Tengteng; Lu, Ping; Liu, Chun; Wu, Hangbin; Shao, Xiaohang; Wan, Hong; Li, Nan; Li, Rongxing] Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Liu, C (corresponding author), Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
EM 1989tengteng@tongji.edu.cn; luping@tongji.edu.cn; liuchun@tongji.edu.cn;
   hb@tongji.edu.cn; 1533336@tongji.edu.cn; 8lovehappy@tongji.edu.cn;
   123linan@tongji.edu.cn; rli@tongji.edu.cn
TC 25
Z9 30
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD OCT
PY 2016
VL 8
IS 10
AR 874
DI 10.3390/rs8100874
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000387357300088
ER

PT J
AU Luo, G
   Chen, XA
   Zhang, Q
   He, K
   Wu, ML
   Shen, WG
   Liu, B
AF Luo, Gang
   Chen, Xinan
   Zhang, Qian
   He, Kun
   Wu, Maolin
   Shen, Weigang
   Liu, Bo
TI Failure mechanism and sedimentary characteristics of a catastrophic
   rockslide avalanche induced by the 2008 Wenchuan earthquake
SO LANDSLIDES
DT Article
DE Earthquake-induced rockslide; Rockslide-avalanche; Failure mechanism;
   Carbonate rock; Finite difference method
ID ROCK AVALANCHE; LANDSLIDES; CHINA; RIVER
AB The infrastructure construction in tectonically active mountainous areas is faced with the threat of earthquake-induced rockslide-avalanches. We took the Woqian rockslide-avalanche induced by the Wenchuan earthquake near the Qinchuan active fault, Southwestern China as an instance to elucidate a unique initiation mechanism of the inward inclined bedding slope, which had a characteristic of twice destabilization in succession. The high-resolution satellite images, UAV aerial photography, field investigation, and numerical simulation were conducted to reveal the failure processes. The results suggested that (1) the long-term headward erosion of the gully runoff had locally exposed the unconformity contact plane within the strata, which evolved as a part of the sliding plane; (2) the seismic loading produced a rapid shear strain increment on the unconformity plane; (3) the brittle rupture occurred along the sliding plane at the bottom of the sliding source I developed at 6 s after the seismic wave arrival; (4) as a "resistance barrier", the sliding source I first collapsed and most of it accumulated at a short distance; (5) the sliding source II subsequently slid along the apparent dip of the bedding plane and then entrained the deposits of the source I into a catastrophic rock avalanche. The failure mechanism of such carbonaceous bedding slopes with similar geological conditions could provide an insight into the early risk recognition of potential rockslides and the safe site selection of infrastructures.
C1 [Luo, Gang; Chen, Xinan; Zhang, Qian; He, Kun; Wu, Maolin; Shen, Weigang; Liu, Bo] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China.
C3 Southwest Jiaotong University
RP Luo, G (corresponding author), Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China.
EM luogang@home.swjtu.edu.cn
TC 12
Z9 12
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JAN
PY 2023
VL 20
IS 1
BP 25
EP 38
DI 10.1007/s10346-022-01955-y
EA AUG 2022
SC Engineering; Geology
UT WOS:000847639600004
ER

PT J
AU Guo, CW
   Huang, YD
   Yao, LK
   Alradi, H
AF Guo Chen-wen
   Huang Yi-dan
   Yao Ling-kan
   Alradi, Helal
TI Size and spatial distribution of landslides induced by the 2015 Gorkha
   earthquake in the Bhote Koshi river watershed
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Landslide distribution; Gorkha earthquake; Himalaya; Cellular automata;
   selforganized criticality
ID 2008 WENCHUAN EARTHQUAKE; STATISTICAL-ANALYSIS; NEPAL; INVENTORIES;
   INITIATION; EVOLUTION
AB The Mw 7.8 Gorkha earthquake in Nepal on April 25, 2015, produced thousands of landslides in the Himalayan mountain range. After the earthquake, two field investigations along Araniko Highway were conducted. Then, using remote sensing technology and geographic information system (GIS) technology, 1481 landslides were identified along the Bhote Koshi river. Correlations between the spatial distribution of landslides with slope gradient and lithology were analyzed. The power-law relationship of the size distribution of earthquake-induced landslides was examined in both the Higher Himalaya and Lesser Himalaya. Possible reasons for the variability of the power exponent were explored by examining differences in the geological situations of these areas. Multi-threshold cellular automata were introduced to model the complexity of system components. Most of the landslides occurred at slope gradients of 30 degrees-40 degrees, and the landslide density was positively correlated with slope gradient. Landslides in hard rock areas were more common than in soft rock areas. The cumulative number-area distribution of landslides induced by the Gorkha earthquake exhibited a negative power-law relationship, but the power exponents were different: 1.13 in the Higher Himalaya, 1.36 and Lesser Himalaya. Furthermore, the geological conditions were more complex and varied in the Lesser Himalaya than in the Higher Himalaya, and the cellular automata simulation results indicated that, as the complexity of system components increased, the power exponent increased. Therefore, the variability of the power exponent of landslide size distribution should ascribe to the complexity of geological situations in the Bhote Koshi river watershed.
C1 [Guo Chen-wen; Huang Yi-dan; Yao Ling-kan; Alradi, Helal] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Sichuan, Peoples R China.
   [Huang Yi-dan; Yao Ling-kan] Sichuan Key Lab Seism Engn & Technol, Rd & Railway Engn Res Inst, Chengdu 610031, Sichuan, Peoples R China.
   [Huang Yi-dan; Yao Ling-kan] MOE Key Lab High Speed Railway Engn, Chengdu 610031, Sichuan, Peoples R China.
C3 Southwest Jiaotong University
RP Huang, YD (corresponding author), Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Sichuan, Peoples R China.; Huang, YD (corresponding author), Sichuan Key Lab Seism Engn & Technol, Rd & Railway Engn Res Inst, Chengdu 610031, Sichuan, Peoples R China.; Huang, YD (corresponding author), MOE Key Lab High Speed Railway Engn, Chengdu 610031, Sichuan, Peoples R China.
EM hbgcw1989@163.com; huangyidan@home.swjtu.edu.cn;
   yaolk@home.swjtu.edu.cn; helalalradi@hotmail.com
TC 19
Z9 23
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2017
VL 14
IS 10
BP 1938
EP 1950
DI 10.1007/s11629-016-4140-y
SC Environmental Sciences & Ecology
UT WOS:000412313000003
ER

PT J
AU Chen, W
   Pourghasemi, HR
   Naghibi, SA
AF Chen, Wei
   Pourghasemi, Hamid Reza
   Naghibi, Seyed Amir
TI Prioritization of landslide conditioning factors and its spatial
   modeling in Shangnan County, China using GIS-based data mining
   algorithms
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslide susceptibility mapping; Multivariate adaptive regression
   spline; Random forest; Geographic information system (GIS); China
ID ANALYTICAL HIERARCHY PROCESS; SUPPORT VECTOR MACHINE;
   EARTHQUAKE-TRIGGERED LANDSLIDES; CATCHMENT NORTHERN CALABRIA; ARTIFICIAL
   NEURAL-NETWORKS; 2008 WENCHUAN EARTHQUAKE; REMOTE-SENSING DATA;
   LOGISTIC-REGRESSION; FREQUENCY RATIO; SUSCEPTIBILITY ASSESSMENT
AB The main objective of the current study is to apply a random forest (RF) data-driven model and prioritization of landslide conditioning factors according to this method and its comparison to a multivariate adaptive regression spline (MARS) model for landslide susceptibility mapping in China. For this purpose, at first, landslide locations were identified by earlier reports, aerial photographs, and field surveys and a total of 348 landslides were mapped from various sources in GIS. Then, the landslide inventory was randomly split into a training dataset (70% = 244 landslides) and the remaining (30% = 104 landslides) were used for validation. In this study, 12 landslide conditioning factors were applied to detect the most susceptible areas. These factors were slope aspect, altitude, distance to faults, lithology, normalized difference vegetation index, plan curvature, profile curvature, distance to rivers, distance to roads, slope angle, stream power index, and topographic wetness index. The relationship between each conditioning factor and landslide was finalized using a frequency ration (FR) model. Subsequently, landslide-susceptible areas were mapped using the MARS and RF models. The results revealed that the most important conditioning factors according to the accuracy measure (mean decrease) of the RF model are lithology (23.47%), distance to faults (22.21%), and altitude (19.58%). We also notice that altitude (19.04%), distance to faults (18.83%), and distance to roads (15.29%) have the highest importance according to the Gini measure. Finally, the accuracy of the landslide susceptibility maps produced from the two models was verified using a receiver operating characteristics curve. The results showed that the landslide susceptibility map produced using the MARS model has a higher prediction rate than RF by area under the curve values of 87.51 and 77.32%, respectively. According to the validation results, the map produced by the MARS model exhibits the better accuracy and could be proposed for land-use planning in the study area.
C1 [Chen, Wei] Xian Univ Sci & Technol, Coll Geol & Environm, Xian 710054, Shaanxi, Peoples R China.
   [Pourghasemi, Hamid Reza] Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz, Iran.
   [Naghibi, Seyed Amir] Tarbiat Modares Univ, Dept Watershed Management Engn, Coll Nat Resources, Noor, Mazandaran, Iran.
C3 Xi'an University of Science & Technology; Shiraz University; Tarbiat
   Modares University
RP Pourghasemi, HR (corresponding author), Shiraz Univ, Dept Nat Resources & Environm Engn, Coll Agr, Shiraz, Iran.
EM hamidreza.pourghasemi@yahoo.com
TC 94
Z9 102
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD MAY
PY 2018
VL 77
IS 2
BP 611
EP 629
DI 10.1007/s10064-017-1004-9
SC Engineering; Geology
UT WOS:000431300600012
ER

PT J
AU Chi, CQ
   Li, CY
   Han, Y
   Yu, ZN
   Li, X
   Zhang, DW
AF Chi, Chengquan
   Li, Chenyang
   Han, Ying
   Yu, Zining
   Li, Xiang
   Zhang, Dewang
TI Pre-earthquake anomaly extraction from borehole strain data based on
   machine learning
SO SCIENTIFIC REPORTS
DT Article
ID WENCHUAN EARTHQUAKE; STRESS CHANGES; PREDICTION
AB Borehole strain monitoring plays a critical role in earthquake precursor research. With the accumulation of observation data, traditional data processing methods struggle to handle the challenges of big data. This study proposes a segmented variational mode decomposition method and a GRU-LUBE deep learning network based on machine learning theory. The algorithm enhances data correlation during decomposition and effectively predicts borehole strain data changes. We extract pre-earthquake anomalies from four-component borehole strain data of the Guza station for two major earthquakes in Sichuan (Wenchuan and Lushan earthquakes), obtaining more comprehensive anomalies than previous studies. Statistical analysis reveals similar abnormal phenomena in the Guza station's borehole strain data before both earthquakes, suggesting shared crustal stress accumulation and release patterns. These findings highlight the need for further research to improve earthquake prediction and preparedness through understanding underlying mechanisms.
C1 [Chi, Chengquan; Li, Chenyang; Li, Xiang; Zhang, Dewang] Hainan Normal Univ, Sch Informat Sci & Technol, Haikou, Peoples R China.
   [Han, Ying] Hainan Normal Univ, Coll Geog & Environm Sci, Haikou, Peoples R China.
   [Yu, Zining] Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Peoples R China.
C3 Hainan Normal University; Hainan Normal University; Ocean University of
   China
RP Zhang, DW (corresponding author), Hainan Normal Univ, Sch Informat Sci & Technol, Haikou, Peoples R China.; Han, Y (corresponding author), Hainan Normal Univ, Coll Geog & Environm Sci, Haikou, Peoples R China.
EM hanying0729@126.com; zhangdwsan@163.com
TC 10
Z9 10
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD NOV 16
PY 2023
VL 13
IS 1
AR 20095
DI 10.1038/s41598-023-47387-z
SC Science & Technology - Other Topics
UT WOS:001107148400053
ER

PT J
AU Zhang, Y
   Su, XJ
   Meng, XM
   Li, YX
   Qi, TJ
   Liu, WC
   Meng, XP
AF Zhang, Yi
   Su, Xiaojun
   Meng, Xingmin
   Li, Yuanxi
   Qi, Tianjun
   Liu, Wangcai
   Meng, Xiangpei
TI Insights into the deformation kinematics of Xieliupo landslide, Zhouqu,
   China, through remote sensing and geomorphological observations
SO LANDSLIDES
DT Article
DE Xieliupo landslide; Fault belt; Deformation kinematics; Remote sensing
ID SLOW-MOVING LANDSLIDES; SPATIAL-DISTRIBUTION; JIUZHAIGOU EARTHQUAKE;
   WENCHUAN EARTHQUAKE; HAZARD ASSESSMENT; D-INSAR; INVENTORY; SICHUAN;
   FAULT; INTERFEROMETRY
AB The Xieliupo landslide is a typical large-scale active landslide in Zhouqu, China, in the Pingding-Huama fault zone that has slid eight times since the beginning of the twentieth century. The landslide has caused catastrophic environmental, economic, and life losses in the area. In this study, combining the geomorphological field surveys, Unmanned Aerial Vehicle (UAV) mapping, interpretation of optical images, InSAR, and Cosi-Corr (Co-registration of Optically Sensed Images and Correlation) monitoring analysis, we conducted insights into the deformation kinematics of large Xieliupo landslide. The Xieliupo landslide has the characteristics of graded sub-activity with eight secondary landslides. The secondary landslides I and II in the upper parts are loess slide-flow with a moving pattern of creep-rip-push on the condition of steep gradient and the triggering of intense precipitation. The middle part was divided into two sides by a relatively stable ridge, where the loess rotational landslides III and collapse VI in the northern side are controlled by low-lying terrain in the valley, and the landslides IV and V are moderately active under the influence of steep gradient and compression from the landslides I and II. The secondary landslides VII and VIII in the toe are relatively slightly active with a gentle slope gradient influenced by road construction and Bailong River erosion. Time-series InSAR deformation from 2015 to 2020 revealed a close positive correlation between accelerating displacements and increasing precipitation. The deformation response characteristics of cascade collapse retreat and fluctuating acceleration of the Xieliupo landslide to heavy rainfall were revealed. The seismic activity is one probable factor contributing to the reactivated displacement of Xieliupo landslide. Notably, the intense rainfall on August 13, 2020, triggered the maximum displacement of 5.93 m in a sliding direction of 319 & DEG; (NW) at secondary landslide II. This study significantly provides new insight into the deformation characteristics and kinematics of Xieliupo and reference for catastrophic landslide hazard mitigation. The proposed technique strategy can be used for analyzing similar large complex landslides in other mountainous regions.
C1 [Zhang, Yi; Su, Xiaojun; Meng, Xingmin; Li, Yuanxi; Qi, Tianjun; Liu, Wangcai; Meng, Xiangpei] Lanzhou Univ, Technol & Innovat Ctr Environm Geol & Geohazards P, Sch Earth Sci, Lanzhou 730000, Peoples R China.
   [Su, Xiaojun; Meng, Xingmin] Lanzhou Univ, Coll Earth & Environm Sci, MOE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China.
C3 Lanzhou University; Lanzhou University
RP Su, XJ (corresponding author), Lanzhou Univ, Technol & Innovat Ctr Environm Geol & Geohazards P, Sch Earth Sci, Lanzhou 730000, Peoples R China.
EM zhangyigeo@lzu.edu.cn; suxj17@lzu.edu.cn
TC 8
Z9 9
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD NOV
PY 2023
VL 20
IS 11
BP 2359
EP 2377
DI 10.1007/s10346-023-02110-x
EA JUL 2023
SC Engineering; Geology
UT WOS:001023999200002
ER

PT J
AU Yu, M
   Huang, Y
   Xu, Q
   Guo, P
   Dai, ZL
AF Yu, Miao
   Huang, Yu
   Xu, Qiang
   Guo, Peng
   Dai, Zili
TI Application of virtual earth in 3D terrain modeling to visual analysis
   of large-scale geological disasters in mountainous areas
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Sudden large-scale geological disaster; Virtual earth; 3D terrain
   modeling; Visual analysis; Google Earth; Hazard assessment
ID 2008 WENCHUAN EARTHQUAKE; GOOGLE EARTH; LANDSLIDE; PHOTOGRAMMETRY;
   VISUALIZATION
AB Sudden large-scale geological disasters can be triggered in mountainous areas by events such as earthquakes, rainfall, volcanic eruptions, or human activity, leading to serious loss of life and property. Generating digital elevation model (DEM) for such geological disasters allows the rapid identification of affected areas, which is essential for emergency response and hazard mitigation. The main aim of this study is to propose a low-cost and efficient method based on virtual earth to generate a three-dimensional (3D) DEM. Based on the terrain model, numerical simulations can be conducted and the results integrated with virtual earth to perform 3D visualization and visual analysis. The method proposed in this study may solve some limitations existing in other more traditional methods. For example, historical topographic maps exist mostly in paper format, which is not conducive to spatial analysis, while interpretation of remote-sensing images generally requires professional knowledge at a high cost. The emergence of the virtual earth platform of Google Earth (GE) provides new possibilities for generating terrain models. Terrain information can be extracted efficiently and freely from GE using an application programming interface (API) and then used to generate DEM. In this paper, the Donghekou landslide-debris flow triggered by the 2008 Wenchuan earthquake was selected as a case study. 3D visualization of the temporal-spatial dynamic process of a natural disaster was carried out by combination of the numerical results and GE imaging. The comparison of the study case with field survey data proves the validity of the proposed method as it describes the real terrain shape and determines the slide distance accurately, although the elevation error may be large. The free and easy-to-use method proposed here can provide an intuitive basis for hazard assessment and rapid responses to geological disasters.
C1 [Yu, Miao; Huang, Yu; Guo, Peng; Dai, Zili] Tongji Univ, Dept Geotech Engn, Coll Civil Engn, Shanghai 200092, Peoples R China.
   [Huang, Yu] Tongji Univ, Key Lab Geotech & Underground Engn, Minist Educ, Shanghai 200092, Peoples R China.
   [Xu, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Tongji University; Tongji University; Chengdu University of Technology
RP Huang, Y (corresponding author), Tongji Univ, Dept Geotech Engn, Coll Civil Engn, Shanghai 200092, Peoples R China.; Huang, Y (corresponding author), Tongji Univ, Key Lab Geotech & Underground Engn, Minist Educ, Shanghai 200092, Peoples R China.
EM yhuang@tongji.edu.cn
TC 28
Z9 29
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
PD APR
PY 2016
VL 75
IS 7
AR 563
DI 10.1007/s12665-015-5161-5
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000373635400022
ER

PT J
AU Chen, M
   Tang, C
   Yang, Y
   Xiong, J
AF Chen, Ming
   Tang, Chuan
   Yang, Yu
   Xiong, Jiang
TI Quantifying spatio-temporal changes in the ecological environment
   quality and their implications for surface mass movement after a
   high-magnitude earthquake
SO GLOBAL ECOLOGY AND CONSERVATION
DT Article
DE Wenchuan earthquake; Ecological quality; Spatio-temporal evolution;
   Controlling factor; Surface mass movement
ID VEGETATION RECOVERY; SOIL-EROSION; INDEX; AREA; IMPACTS; SYSTEM; BASIN
AB The accurate detection and assessment of changes in the quality of the ecological environment is crucial under seismic disturbances for regional ecological environment recovery and protection. To ensure ecological safety and reduce the geo-ecological risks in the Wenchuan earthquakeaffected areas, assessing the quality of the ecological environment and its underlying influencing factors is an important initiative. First, we developed the multi-temporal remote sensing ecological quality (RSEI) dataset spanning from 2007 to 2023 in the Wenchuan earthquakeaffected area. Subsequently, we quantitatively assessed the spatio-temporal evolution of the ecosystem quality based on eight RSEI maps. Meanwhile, we examined the control of elevation, slope, aspect, and gully density on the spatiotemporal variation in RSEI. Finally, we explored the interactions between ecological quality and surface mass movement. We found that the average RSEI decreased from 0.80 before the earthquake to 0.47 after the earthquake, and increased to 0.66 after the 15-year recovery period, which indicates a gradual increase in the general ecological quality from 2008 to 2023. In 2023, 36.2 % of the area will still be below the good level of RSEI. Areas with higher elevations, steeper slopes, SE orientation or higher gully densities have lower ecological resilience. We also found that the susceptibility to surface mass movements such as debris flows and landslides was higher in catchments with poorer ecological quality. Generally, the RSEI oscillatory increasing trend was observed after the 2008 Wenchuan earthquake. If RSEI follows the fitted trend, ecological quality will recover to pre-earthquake levels in 2035. Our study will contribute important information and decision-making references for policymakers to carry out more targeted environmental protection, ecological recovery, and sustainable development efforts.
C1 [Chen, Ming; Tang, Chuan] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
   [Yang, Yu] Xihua Univ, Sch Emergency Sci, Chengdu 610039, Peoples R China.
   [Xiong, Jiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610044, Peoples R China.
C3 Chengdu University of Technology; Xihua University; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS
RP Chen, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM chenminggeo@163.com
TC 6
Z9 7
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
EI 2351-9894
PD APR
PY 2025
VL 58
AR e03454
DI 10.1016/j.gecco.2025.e03454
EA JAN 2025
SC Biodiversity & Conservation; Environmental Sciences & Ecology
UT WOS:001407377900001
ER

PT J
AU Althuwaynee, OF
   Pradhan, B
   Park, HJ
   Lee, JH
AF Althuwaynee, Omar F.
   Pradhan, Biswajeet
   Park, Hyuck-Jin
   Lee, Jung Hyun
TI A novel ensemble decision tree-based CHi-squared Automatic Interaction
   Detection (CHAID) and multivariate logistic regression models in
   landslide susceptibility mapping
SO LANDSLIDES
DT Article
DE Landslide; Ensemble modeling; Decision tree; CHAID.LR; GIS; Remote
   sensing; South Korea
ID HOA BINH PROVINCE; ANALYTICAL HIERARCHY PROCESS; EVIDENTIAL BELIEF
   FUNCTIONS; FUZZY-LOGIC; WENCHUAN EARTHQUAKE; SPATIAL PREDICTION;
   LIKELIHOOD RATIO; GIS; HAZARD; MOUNTAINS
AB An ensemble algorithm of data mining decision tree (DT)-based CHi-squared Automatic Interaction Detection (CHAID) is widely used for prediction analysis in variety of applications. CHAID as a multivariate method has an automatic classification capacity to analyze large numbers of landslide conditioning factors. Moreover, it results two or more nodes for each independent variable, where every node contains numbers of presence or absence of landslides (dependent variable). Other DT methods such as Quick, Unbiased, Efficient Statistic Tree (QUEST) and Classification and Regression Trees (CRT) are not able to produce multi branches based tree. Thus, the main objective of this paper is to use CHAID method to perform the best classification fit for each conditioning factors, then, combined it with logistic regression (LR) to find the corresponding coefficients of best fitting function that assess the optimal terminal nodes. In the first step, a landslide inventory map with 296 landslide locations were extracted from various sources over the Pohang-Kyeong Joo catchment (South Korea). Then, the inventory was randomly split into two datasets, 70% was used for training the models, and the remaining 30% was used for validation purpose. Thirteen landslide conditioning factors were used for the susceptibility modeling. Then, CHAID was applied and revealed that some conditioning factors such as altitude, soil drain, soil texture and TWI, as terminal nodes and reflected the best classification fit. Then, a proposed ensemble technique was applied and the interpretations of the coefficients showed that the relationship between the decision tree branch nodes distance from drain, soil drain, and TWI, respectively, leads to better consequences assessment of landslides in the current study area. The validation results showed that both success and prediction rates, 75 and 79%, respectively. This study proved the efficiency and reliability of ensemble DT and LR model in landslide susceptibility mapping.
C1 [Althuwaynee, Omar F.; Pradhan, Biswajeet] Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Serdang 43400, Selangor Darul, Malaysia.
   [Park, Hyuck-Jin; Lee, Jung Hyun] Sejong Univ, Dept Geoinformat Engn, Seoul 143747, South Korea.
C3 Universiti Putra Malaysia; Sejong University
RP Pradhan, B (corresponding author), Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Serdang 43400, Selangor Darul, Malaysia.
EM biswajeet@mailcity.com; hjpark@sejong.ac.kr
TC 139
Z9 161
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2014
VL 11
IS 6
BP 1063
EP 1078
DI 10.1007/s10346-014-0466-0
SC Engineering; Geology
UT WOS:000345324100010
ER

PT J
AU Aghdam, IN
   Pradhan, B
   Panahi, M
AF Aghdam, Iman Nasiri
   Pradhan, Biswajeet
   Panahi, Mahdi
TI Landslide susceptibility assessment using a novel hybrid model of
   statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy
   inference system (ANFIS) at southern Zagros Mountains in Iran
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Landslide susceptibility; Remote sensing; GIS; Statistical bivariate;
   ANFIS; Iran
ID ANALYTICAL HIERARCHY PROCESS; LOGISTIC-REGRESSION; FREQUENCY RATIO;
   WENCHUAN EARTHQUAKE; GIS; HAZARD; WEIGHTS; INDEX; ENTROPY; BASIN
AB The aim of landslide susceptibility mapping ( LSM) is to produce the most important and basic information required for overall landslide disaster planning and mitigation. Different statistical bivariate methods such as frequency ratio ( FR) and weights-of-evidence ( WOE) have been widely used for LSM. Although results of these aforementioned statistical methods are generally acceptable, however, they can be improved further by fine tuning the conditioning factor's classes. The purpose of this paper is to overcome some drawbacks of the bivariate models by developing a novel hybrid method using adaptive neuro-fuzzy inference system ( ANFIS) and statistical bivariate methods ( FR and WOE) in geographical information system. The provinces of southern Zagros Mountains ( Iran) are chosen as a case study to implement the proposed method. First, landslide inventory map was produced using various data source such as historical landslides locations, remote sensing images and land surveying techniques. Second, the inventory data were divided into a ratio 70: 30 for training and testing the models. Third, twelve landslide conditioning and triggering factors ( such as altitude, slope, aspect, plan and profile curvatures, distance to roads, distance to streams, distance to faults, rainfall, seismicity, land use and lithology) were selected and categorized in two groups consisting of numerical and nominal values. Then, each conditioning factor was classified and the weight of each class was determined by using FR and WOE models. The outputs of individual statistical and hybrid methods were applied to determine nominal and continuous numerical data, respectively. In the hybrid approach, the calculated weights of each class were allocated to the center of each class, and the rest of the weights were determined by ANFIS. Landslide locations which were not used in training the models were used for validation. The produced susceptibility maps were validated and compared using area under the curve ( AUC). Results indicated that predictive performances of hybrid models ( FR-ANFIS and WOE-ANFIS) have better performance than the statistical models ( FR and WOE). The AUCs of success rates are 85, 86, 87 and 87% and the AUCs of predicted rates are 82, 82, 85 and 84% for FR, WOE, FR-ANFIS, and WOE-ANFIS, respectively. Additionally, frequency ratio plots ( FRP) and seed cells area index SCAI methods were also employed for a second round of validation. The FRP and SCAI graphs illustrated higher performance for the hybrid LSM models. The proposed approach can be applied in other types of natural hazard modeling such as flood, land subsidence, and gully erosion.
C1 [Aghdam, Iman Nasiri] Islamic Azad Univ, Dept Remote Sensing & Geog Informat Syst, Fac Environm & Energy, Sci & Res Branch, Tehran, Iran.
   [Aghdam, Iman Nasiri; Pradhan, Biswajeet] Univ Putra Malaysia, Dept Civil Engn, GISRC, Fac Engn, Serdang, Malaysia.
   [Aghdam, Iman Nasiri; Pradhan, Biswajeet; Panahi, Mahdi] Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea.
   [Panahi, Mahdi] Islamic Azad Univ, Young Researcher & Elits Club, North Tehran Branch, Tehran, Iran.
C3 Islamic Azad University; Universiti Putra Malaysia; Sejong University;
   Islamic Azad University
RP Aghdam, IN (corresponding author), Islamic Azad Univ, Dept Remote Sensing & Geog Informat Syst, Fac Environm & Energy, Sci & Res Branch, Tehran, Iran.; Pradhan, B (corresponding author), Univ Putra Malaysia, Dept Civil Engn, GISRC, Fac Engn, Serdang, Malaysia.; Pradhan, B (corresponding author), Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea.
EM Nasiriaghdam.iman@gmail.com; biswajeet24@gmail.com
TC 72
Z9 77
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
PD MAR
PY 2017
VL 76
IS 6
AR 237
DI 10.1007/s12665-017-6558-0
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000398451000005
ER

PT J
AU Jing, F
   Singh, RP
   Cui, YJ
   Sun, K
AF Jing, Feng
   Singh, Ramesh P.
   Cui, Yueju
   Sun, Ke
TI Microwave Brightness Temperature Characteristics of Three Strong
   Earthquakes in Sichuan Province, China
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Brightness temperature; earthquakes; passive microwave remote sensing;
   thermal anomalies
ID WENCHUAN EARTHQUAKE; JIUZHAIGOU EARTHQUAKE; SEISMOGENIC STRUCTURE;
   SATELLITE TECHNIQUES; INFRARED RADIATION; ANOMALIES; ATMOSPHERE
AB Passive microwave remote sensing technology is an effective means to identify the thermal anomalies associated with earthquakes due to its penetrating capability through clouds compared with infrared sensors. However, observed microwave brightness temperature is strongly influenced by soil moisture and other surface parameters. In the present article, the segmented threshold method has been proposed to detect anomalous microwave brightness temperature associated with the strong earthquakes occurred in Sichuan province, China, an earthquake-prone area with high soil moisture. The index of microwave radiation anomaly (IMRA) computed by the proposed method is found to enhance prior to the three strong earthquakes, 2008 Wenchuan (M = 7.8), 2013 Lushan (M = 6.6), and 2017 Jiuzhaigou (M = 6.5), occurred during 2008-2018 using the Defense Meteorological Space Program Special Sensor Microwave Imager/Sounder F17 satellite data. Our results show that the microwave brightness temperature anomalies appeared about two months prior to the three strong earthquakes. For the Wenchuan and Lushan earthquakes, the enhanced IMRA distributed along the main fault, which is consistent with the variations of our earlier studies of the 1997 Manyi (M = 7.5) and the 2001 Kokoxili (M = 7.8) earthquakes in the region with low soil moisture. For the Jiuzhaigou earthquake, the anomalies distributed around the epicenter and do not indicate the seismogenic structure, which could be due to the presence of a blind fault. It should be noted that quantitative evaluation of IMRA is limited due to infrequent occurrence of earthquakes.
C1 [Jing, Feng; Cui, Yueju; Sun, Ke] China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
   [Singh, Ramesh P.] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA.
C3 China Earthquake Administration; Institute of Earthquake Forecasting,
   CEA; Chapman University System; Chapman University
RP Jing, F (corresponding author), China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
EM jingfeng@cea-ies.ac.cn; rsingh@chapman.edu; cehuicuiyueju@126.com;
   sunke22@126.com
TC 28
Z9 32
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2020
VL 13
BP 513
EP 522
DI 10.1109/JSTARS.2020.2968568
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000526772200001
ER

PT J
AU Chen, Y
   Song, C
   Li, ZH
   Yu, C
   Liu, ZJ
   Zhang, XS
   Chen, B
   Hu, XN
AF Chen, Yi
   Song, Chuang
   Li, Zhenhong
   Yu, Chen
   Liu, Zhenjiang
   Zhang, Xuesong
   Chen, Bo
   Hu, Xiaoning
TI Characterizing the evolution of the Daguangbao landslide nearly 15 years
   after the 2008 Wenchuan earthquake by InSAR observations
SO ENGINEERING GEOLOGY
DT Article
DE Daguangbao landslide; InSAR; Post-seismic kinematics; Stabilization
   time; Landslide thickness; Risk assessment
ID DEBRIS FLOWS; TIME-SERIES; DEFORMATION; RAINFALL; FAULT; GPS; RUPTURE;
   CHINA; AREA
AB The Daguangbao landslide (DGBL), the largest landslide triggered by the 2008 Ms 8.0 Wenchuan earthquake, has received much attention, but its long-term post-earthquake evolution and driving force of activity are still poorly understood. As the evolutionary behavior of the DGBL is complicated by the influence of mainshock, aftershocks and rainfall, it is of great significance to study the dynamics of the landslide. In this study, a systematic and comprehensive framework for assessing the long-term stability and risk of co-seismic landslides was proposed. Based on ALOS-1 and Sentinel-1 data, time-series InSAR technology was used to reveal the nearly 15-year postseismic evolution characteristics of the DGBL at different stages, followed by the prediction of the stabilization time, the estimation of the landslide thickness and risk assessment. The first stage was identified as three years after the earthquake (2008-2011). During this stage, ALOS-1 results show that the deformation of DGBL was intense (300 mm/year) with uneven spatial distribution, and an aftershock (Ms 5.3), along with increased rainfall, triggered its acceleration in 2009. The second stage was the period from 2014 to 2022. For this stage, we used the mass conservation approach to invert the thickness of the DGBL, revealing that a new sliding surface and thickness center had formed following the co-seismic failure in 2008. Sentinel-1 time series results indicated that the DGBL remains active even 15 years after the Wenchuan earthquake, but the deformation of DGBL has significantly slowed down (50 mm/year). The stabilization time for different segments of DGBL was predicted to range from 2027 to 2040 according to an exponential model. Beyond the overall trend of recovery, seasonal movements (including localized acceleration in 2021) closely related to rainfall remained evident, but the impact of aftershocks on the DGBL was severely weakened over time. UAV and field survey results suggested that the risk of localized debris flows at DGBL still exists. Our study improves our understanding of the long-term evolutionary pattern of DGBL and provides an important reference for post-earthquake landslide risk assessment and disaster prevention.
C1 [Chen, Yi; Song, Chuang; Li, Zhenhong; Yu, Chen; Liu, Zhenjiang; Zhang, Xuesong; Chen, Bo; Hu, Xiaoning] Changan Univ, Coll Geol Engn & Geomatics, Xian 710054, Peoples R China.
   [Chen, Yi; Liu, Zhenjiang; Zhang, Xuesong; Chen, Bo; Hu, Xiaoning] Changan Univ, Big Data Ctr Geosci & Satellites, Xian 710054, Peoples R China.
   [Chen, Yi; Song, Chuang; Li, Zhenhong; Yu, Chen; Liu, Zhenjiang; Zhang, Xuesong; Chen, Bo; Hu, Xiaoning] Key Lab Loess, Xian 710054, Peoples R China.
   [Song, Chuang; Li, Zhenhong; Yu, Chen] Minist Educ, Key Lab Western Chinas Mineral Resources & Geol En, Xian 710054, Peoples R China.
C3 Chang'an University; Chang'an University
RP Song, C; Li, ZH (corresponding author), Changan Univ, Coll Geol Engn & Geomatics, Xian 710054, Peoples R China.
EM chuang.song@chd.edu.cn; zhenhong.li@chd.edu.cn
TC 10
Z9 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD NOV
PY 2024
VL 342
AR 107748
DI 10.1016/j.enggeo.2024.107748
EA OCT 2024
SC Engineering; Geology
UT WOS:001332264900001
ER

PT J
AU Mohan, A
   Singh, AK
   Kumar, B
   Dwivedi, R
AF Mohan, Amrita
   Singh, Amit Kumar
   Kumar, Basant
   Dwivedi, Ramji
TI Review on remote sensing methods for landslide detection using machine
   and deep learning
SO TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
DT Review
ID SUSCEPTIBILITY ASSESSMENT; PERMANENT SCATTERERS; LOGISTIC-REGRESSION;
   WENCHUAN EARTHQUAKE; SPATIAL PREDICTION; SATELLITE IMAGERY;
   NEURAL-NETWORKS; DECISION TREE; TIME-SERIES; CLASSIFICATION
AB Landslide, one of the most critical natural hazards, is caused due to specific compositional slope movement. In the past decades, due to inflation of urbanized area and climate change, a compelling expansion in landslide prevalence took place which is also termed as mass/slope movement and mass wasting, causing extensive collapse around the world. The principal reason for its pursuance is a reduction in the internal resistance of soil and rocks, classified as a slide, topple, fall, and flow. Slopes can be differentiated based on earth material and the nature of its movements. The downward flow of landslides occurs due to excessive rainfall, snowmelt, earthquake, volcanic eruption, and so on. This review article revisits the conventional approaches for identification of landslides, predicting future risk, associated with slope failures, followed by emphasizing the advantages of modern geospatial techniques such as aerial photogrammetry, satellite remote sensing images (ie, panchromatic, multispectral, radar images), Terrestrial laser scanning, and High-Resolution Digital Elevation Model (HR-DEM) in updating landslide inventory maps. Machine learning techniques like Support Vector Machine, Artificial neural network, deep learning has been extensively used with geographical data producing effective results for assessment of natural hazard/resources and environmental research. Based on recent studies, deep learning is a reliable tool addressing remote sensing challenges such as trade-off in imaging system producing poor quality investigation, in addition, to expedite consequent task such as image recognition, object detection, classification, and so on. Conventional methods, like pixel and object-based machine learning methods, have been broadly explored. Advanced development in deep learning technique like CNN (Convolutional neural network) has been extensively successful in information extraction from an image and has exceeded other traditional approaches. Over the past few years, minor attempts have been made for landslide susceptibility mapping using CNN. In addition, small sample sizes for training purpose will be major drawback and notably remarkable while using deep learning techniques. Also, assessment of the model's performance with diverse training and testing proportion other than commonly utilized ratio, that is, 70/30 needs to be explored further. The review article briefly highlights the remote sensing methods for landslide detection using machine learning and deep learning.
C1 [Mohan, Amrita; Dwivedi, Ramji] MNNIT Allahabad, GIS Cell, Allahabad, Uttar Pradesh, India.
   [Singh, Amit Kumar] NIT Patna, CSE Dept, Patna, Bihar, India.
   [Kumar, Basant] MNNIT Allahabad, ECE Dept, Allahabad, Uttar Pradesh, India.
C3 National Institute of Technology (NIT System); Motilal Nehru National
   Institute of Technology; National Institute of Technology (NIT System);
   National Institute of Technology Patna; National Institute of Technology
   (NIT System); Motilal Nehru National Institute of Technology
RP Mohan, A (corresponding author), MNNIT Allahabad, GIS Cell, Allahabad, Uttar Pradesh, India.
EM er.amritacs@gmail.com
TC 223
Z9 252
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 2161-3915
PD JUL
PY 2021
VL 32
IS 7
SI SI
AR e3998
DI 10.1002/ett.3998
EA JUN 2020
SC Telecommunications
UT WOS:000542033600001
ER

PT J
AU Tong, XH
   Hong, ZH
   Liu, SJ
   Zhang, X
   Xie, H
   Li, ZY
   Yang, SL
   Wang, WA
   Bao, F
AF Tong, Xiaohua
   Hong, Zhonghua
   Liu, Shijie
   Zhang, Xue
   Xie, Huan
   Li, Zhengyuan
   Yang, Sonlin
   Wang, Weian
   Bao, Feng
TI Building-damage detection using pre- and post-seismic high-resolution
   satellite stereo imagery: A case study of the May 2008 Wenchuan
   earthquake
SO ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
DT Article
DE Building collapse detection; Earthquake; Rational polynomial
   coefficient; Geopositioning accuracy; Digital elevation model; IKONOS
   stereo images
ID GEOPOSITIONING ACCURACY; SENSOR ORIENTATION; RATIONAL FUNCTIONS; IKONOS
   IMAGERY; SAR; ALGORITHMS; GENERATION; AREAS; GIS; DTM
AB To address the disadvantage of traditional methods providing only two-dimensional (2D) damage change of the collapsed buildings, this paper presents an approach for the detection of the buildings that have collapsed in an earthquake based on 3D geometric changes, particularly height change of the buildings, using pre- and post-seismic IKONOS stereo image pairs. One of the critical issues - the accuracy of the 3D ground point determination from high-resolution satellite imagery (HRSI) - is first addressed employing a bias-compensation model based on the rational function polynomial coefficient bundle adjustment. With the refined 3D ground coordinates, two ways of detecting the collapsed buildings are proposed: (1) detection of an individual collapsed building by comparing the height differences at the corner points of the building calculated from the pre- and post-seismic IKONOS stereo pairs and (2) determination of the region of collapsed buildings by calculating the difference between the pre- and post-seismic digital elevation models (DEMs) generated again from the pre- and post-seismic stereo images. At the same time, a pre-seismic DEM based on a topographical map is generated for detection comparison in the study.
   The experiment results for Dujiangyan using two IKONOS stereo pairs before and after the Wenchuan earthquake demonstrated the following. (1) Accuracy of better than 1.1 m in planimetry and 1.5 m in height can be achieved from the pre- and post-seismic IKONOS stereo image pairs using the affine bias compensation model. This accuracy guarantees the feasibility of detecting the 3D geometric changes of the earthquake-induced building collapses from pre- and post-seismic HRSI stereo images. (2) Using the refined 3D coordinates of the ground points computed from the pre- and post-seismic IKONOS stereo pairs, the status (i.e., totally collapsed, partially collapsed or not collapsed) and the number of collapsed storeys can be estimated for an individual building being assessed. (3) The region of collapsed buildings can be determined by differencing the pre- and post-seismic DEMs created from the pre- and post-seismic IKONOS stereo pairs. An overall accuracy of better than 90% is achieved for the detection of the collapsed buildings based on the difference DEM using the pixel- and object-based assessment methods. (C) 2011 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
C1 [Tong, Xiaohua; Hong, Zhonghua; Liu, Shijie; Zhang, Xue; Xie, Huan; Wang, Weian; Bao, Feng] Tongji Univ, Dept Surveying & Geoinformat, Key Lab Modem Engn Surveying, State Bur Surveying & Mapping, Shanghai 200092, Peoples R China.
   [Li, Zhengyuan] China Earthquake Adm, China Earthquake Networks Ctr, Beijing 100045, Peoples R China.
   [Yang, Sonlin] Beijing Jiaotong Univ, Sch Civil Engn, Beijing 100044, Peoples R China.
C3 Tongji University; China Earthquake Administration; China Earthquake
   Networks Center, CEA; Beijing Jiaotong University
RP Tong, XH (corresponding author), Tongji Univ, Dept Surveying & Geoinformat, Key Lab Modem Engn Surveying, State Bur Surveying & Mapping, 1239 Siping Rd, Shanghai 200092, Peoples R China.
EM xhtong@tongji.edu.cn
TC 125
Z9 137
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0924-2716
EI 1872-8235
PD MAR
PY 2012
VL 68
BP 13
EP 27
DI 10.1016/j.isprsjprs.2011.12.004
SC Physical Geography; Geology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000303072800002
ER

PT J
AU Shen, HW
   Yang, ZQ
   Hu, GS
   Tian, SF
   Rahman, M
   Ren, JC
   Zhang, Y
AF Shen, Haowen
   Yang, Zhiquan
   Hu, Guisheng
   Tian, Shufeng
   Rahman, Mahfuzur
   Ren, Jincheng
   Zhang, Yong
TI Causal mechanisms and evolution processes of "block-burst" debris flow
   hazard chains in mountainous urban areas: a case study of Meilong gully
   in Danba county, Sichuan Province, China
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE debris flow; hazard chain; slope instability; formation and evolution
   mechanism; monitoring and early warning; risk assessment
ID STANDARDIZED PRECIPITATION INDEX; 2008 WENCHUAN EARTHQUAKE; LANDSLIDES;
   RAINFALL; FAILURE
AB The research interest in multi-hazard chains lies in the comprehension of how various hazards, such as debris flows, floods, and landslides, can interact and amplify one another, resulting in cascading or interconnected hazards. On 17 June 2020, at approximately 3:20 a.m., a debris flow occurred in Meilong gully (MLG), located in Banshanmen Town, Danba County, in southwest China's Sichuan Province. The debris flow had a discharge volume of approximately 40 x 104 m3 and rushed out to block the Xiaojinchuan (XJC) river, subsequently forming a barrier lake. This event ultimately induced a hazard chain that included heavy rainfall, debris flow, landslides, the formation of a barrier lake, and an outburst flood. The impact of this chain resulted in the displacement of 48 households and affected 175 individuals. Furthermore, it led to the destruction of an 18 km section of National Highway G350, stretching from Xiaojin to Danba County, causing economic losses estimated at 65 million yuan. The objective of this study is to analyze the factors leading to the formation of this hazard chain, elucidate its triggering mechanisms, and provide insights for urban areas in the western mountainous region of Sichuan to prevent similar dam-break type debris flow hazard chains. The research findings, derived from field investigations, remote sensing imagery analysis, and parameter calculations, indicate that prior seismic disturbances and multiple dry-wet cycle events increased the volume of loose solid materials within the MLG watershed. Subsequently, heavy rainfall triggered the initiation of the debris flow in MLG. The cascading dam-break, resulting from three unstable slopes and boulders within the channel, amplified the scale of the hazard chain, leading to a significant amount of solid material rushing into the XJC river, thus creating a dam that constricted the river channel. With the intensification of river scouring, the reactivation and destabilization of the Aniangzhai (ANZ) paleolandslide occurred, ultimately leading to the breach of the dam and the formation of an outburst flood. The research comprehensively and profoundly reveals the causal mechanism of the MLG hazard chain, and proposes measures to disrupt the chain at various stages, which can aid in enhancing monitoring, early warning, forecasting systems, and identifying key directions for ecological environmental protection in urban areas within the western mountainous region of Sichuan. Additionally, it could also serve as a reference for mountainous urban areas such as the Tianshan, Alps, Rocky Mountains, and Andes, among others.
C1 [Shen, Haowen; Yang, Zhiquan; Ren, Jincheng] Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Peoples R China.
   [Shen, Haowen; Hu, Guisheng; Tian, Shufeng] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China.
   [Shen, Haowen; Yang, Zhiquan; Ren, Jincheng] Minist Emergency Management Peoples Republ China, Key Lab Geol Disaster Risk Prevent & Control & Eme, Kunming, Peoples R China.
   [Yang, Zhiquan; Ren, Jincheng] Key Lab Early Rapid Identificat Prevent & Control, Kunming 650093, Yunnan, Peoples R China.
   [Hu, Guisheng] Acad Plateau Sci & Sustainabil, Xining, Peoples R China.
   [Rahman, Mahfuzur] Int Univ Business Agr & Technol IUBAT, Dept Civil Engn, Dhaka, Bangladesh.
   [Zhang, Yong] Anyang Inst Technol, Anyang, Peoples R China.
C3 Kunming University of Science & Technology; Chinese Academy of Sciences;
   Institute of Mountain Hazards & Environment, CAS; International
   University of Business Agriculture & Technology (IUBAT); Anyang
   Institute of Technology
RP Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Peoples R China.; Yang, ZQ (corresponding author), Minist Emergency Management Peoples Republ China, Key Lab Geol Disaster Risk Prevent & Control & Eme, Kunming, Peoples R China.; Yang, ZQ (corresponding author), Key Lab Early Rapid Identificat Prevent & Control, Kunming 650093, Yunnan, Peoples R China.
EM yzq1983816@kust.edu.cn
TC 1
Z9 1
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD JAN 22
PY 2024
VL 12
AR 1334074
DI 10.3389/feart.2024.1334074
SC Geology
UT WOS:001156305400001
ER

PT J
AU Huang, MW
   Chen, CY
   Wu, TH
   Chang, CL
   Liu, SY
   Kao, CY
AF Huang, Ming-Wey
   Chen, Chien-Yuan
   Wu, Tzu-Hsiu
   Chang, Chi-Ling
   Liu, Sheu-Yien
   Kao, Ching-Yun
TI GIS-based evaluation on the fault motion-induced coseismic landslides
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Coseismic landslide; GIS; Chi-Chi earthquake
ID CHI-CHI-EARTHQUAKE; PEAK GROUND ACCELERATION; ERH-SHAN LANDSLIDE;
   WENCHUAN EARTHQUAKE; STATISTICAL-ANALYSIS; LOMA-PRIETA; ATTENUATION;
   SUSCEPTIBILITY; TAIWAN; RUPTURE
AB Earthquake-induced potential landslides are commonly estimated using landslide susceptibility maps. Nevertheless, the fault location is not identified and the ground motion caused by it is unavailable in the map. Thus, potential coseismic landslides for a specific fault motion-induced earthquake could not be predicted using the map. It is meaningful to incorporate the fault location and ground motion characteristics into the landslide predication model. A new method for a specific fault motion-induced coseismic landslide prediction model using GIS (Geographic Information System) is proposed herein. Location of mountain ridges, slope gradients over 45o, PVGA (Peak Vertical Ground Accelerations) exceeded 0.15 g, and PHGA (Peak Horizontal Ground Accelerations) exceeded 0.25 g of slope units were representing locations that initiated landslides during the 1999 Chi-Chi earthquake in Taiwan. These coseismic landslide characteristics were used to identify areas where landslides occurred during Meishan fault motion-induced strong ground motions in Chiayi County in Taiwan. The strong ground motion (over 8 Gal in the database, 1 Gal = 0.01 m/s(2), and 1 g = 981 Gal) characteristics were evaluated by the fault length, site distance to the fault, and topography, and their attenuation relations are presented in GIS. The results of the analysis show that coseismic landslide areas could be identified promptly using GIS. The earthquake intensity and focus depth have visible effects on ground motion. The shallower the focus depth, the larger the magnitude increase of the landslides. The GIS-based landslide predication method is valuable combining the geomorphic characteristics and ground motion attenuation relationships for a potential region landslide hazard assessment and in disaster mitigation planning.
C1 [Chen, Chien-Yuan] Chiayi Univ, Dept Civil & Water Resources Engn, Chiayi 60004, Taiwan.
   [Huang, Ming-Wey; Wu, Tzu-Hsiu; Chang, Chi-Ling; Liu, Sheu-Yien] Sci Technol Ctr Disaster Reduct NCDR, New Taipei City 231, Taiwan.
   [Kao, Ching-Yun] Chia Nan Univ Pharm & Sci, Inst Ind Safety & Disaster Prevent, Tainan 71710, Taiwan.
C3 Chia Nan University of Pharmacy & Science
RP Chen, CY (corresponding author), Chiayi Univ, Dept Civil & Water Resources Engn, Chiayi 60004, Taiwan.
EM chienyuc@mail.ncyu.edu.tw
TC 6
Z9 7
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2012
VL 9
IS 5
BP 601
EP 612
DI 10.1007/s11629-012-2434-2
SC Environmental Sciences & Ecology
UT WOS:000309183900002
ER

PT J
AU Liu, FZ
   Xu, Q
   Dong, XJ
   Yu, B
   Frost, JD
   Li, HJ
AF Liu, F. Z.
   Xu, Q.
   Dong, X. J.
   Yu, B.
   Frost, J. D.
   Li, H. J.
TI Design and performance of a novel multi-function debris flow mitigation
   system in Wenjia Gully, Sichuan
SO LANDSLIDES
DT Article
DE Wenjia mitigation system; Debris flow; Early Warning System; Wenchuan
   Earthquake; Co-seismic landslide
ID 13 AUGUST 2010; RAINFALL THRESHOLDS; SHALLOW LANDSLIDES; PREDICTION
   MODEL; DURATION CONTROL; CHINA; INTENSITY; EARTHQUAKE; COLORADO; HAZARDS
AB The post-earthquake debris flows in the Wenjia Gully led to the exposure of the shortcomings in the design of the original conventional debris flow mitigation system. A predicament for the Wenjia mitigation system is a large amount of loose material (est. 50 x 10(6) m(3)) that has been deposited in the gully by the co-seismic landslide, providing abundant source material for debris flows under saturation. A novel design solution for the replacement mitigation system was proposed and constructed, and has exhibited excellent performance and resilience in subsequent debris flows. The design was governed by the three-phase philosophy of controlling water, sediment, and erosion. An Early Warning System (EWS) for debris flow that uses real-time field data was developed; it issues alerts based on the probabilistic and empirical correlations between rainfall and debris flows. This two-fold solution reduces energy of the debris flow by combining different mitigation measures while minimizing the impact through event forecasting and rapid public information sharing. Declines in the number and size of debris flows in the gully, with increased corresponding rainfall thresholds and mean rainfall intensity-duration (I-D) thresholds, indicate the high efficacy of the new mitigation system and a lowered debris flow susceptibility. This paper reports the design of the mitigation system and analyzes the characteristics of rainfall and debris flow events that occurred before and after implementation of the system; it evaluates the effectiveness of one of the most advanced debris flow mitigation systems in China.
C1 [Liu, F. Z.; Xu, Q.; Dong, X. J.; Yu, B.; Li, H. J.] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
   [Liu, F. Z.; Frost, J. D.] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA.
C3 Chengdu University of Technology; University System of Georgia; Georgia
   Institute of Technology
RP Xu, Q (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
EM xuqiang_68@126.com
TC 43
Z9 47
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2017
VL 14
IS 6
BP 2089
EP 2104
DI 10.1007/s10346-017-0849-0
SC Engineering; Geology
UT WOS:000416361600016
ER

PT J
AU Yuen, KV
   Ortiz, GA
   Huang, K
AF Yuen, Ka-Veng
   Ortiz, Gilberto A.
   Huang, Ke
TI Novel nonparametric modeling of seismic attenuation and directivity
   relationship
SO COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
DT Article
DE Bayesian inference; General regression; Model selection; Nonparametric
   regression; Peak ground acceleration; Seismic attenuation
ID PEAK GROUND ACCELERATION; STRONG-MOTION RECORDS; PROBABILISTIC APPROACH;
   NOISE PARAMETERS; PREDICTION; EARTHQUAKE; IDENTIFICATION; RELIABILITY;
   WENCHUAN; UNCERTAINTIES
AB Seismic attenuation modeling is a core element in earthquake disaster assessment and earthquake early warning. In this paper, a novel nonparametric methodology, namely Bayesian Nonparametric General Regression (BNGR), is introduced for the modeling of peak ground acceleration attenuation relationship. In contrast to most existing methods, this method does not require a prescribed functional form of the attenuation relationship. Furthermore, it selects the proper set of variables necessary to model this relationship. Moreover, the proposed model does not only consider the epicentral distance but also the location of the measured station so it allows for the modeling of the attenuation directivity. The proposed method is demonstrated with a case study using a comprehensive database of ground motion records at 271 monitoring stations for the 2008 Ms 8.0 Wenchuan earthquake. Results show that the proposed methodology is capable to represent the seismic attenuation relationship. Furthermore, the contour plots of the peak ground acceleration provides valuable information for the study of the earthquake directivity characteristics. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Yuen, Ka-Veng; Ortiz, Gilberto A.; Huang, Ke] Univ Macau, Dept Civil & Environm Engn, Macau 999078, Peoples R China.
C3 University of Macau
RP Yuen, KV (corresponding author), Univ Macau, Dept Civil & Environm Engn, Macau 999078, Peoples R China.
EM kvyuen@umac.mo
TC 25
Z9 28
PU ELSEVIER SCIENCE SA
PI LAUSANNE
PA PO BOX 564, 1001 LAUSANNE, SWITZERLAND
SN 0045-7825
EI 1879-2138
PD NOV 1
PY 2016
VL 311
BP 537
EP 555
DI 10.1016/j.cma.2016.09.004
SC Engineering; Mathematics; Mechanics
UT WOS:000387520000023
ER

PT J
AU Wu, SB
   Zhao, RH
   Liao, LP
   Yang, YCA
   Wei, Y
   Wei, WZ
AF Wu, Shanbai
   Zhao, Ruihua
   Liao, Liping
   Yang, Yunchuan
   Wei, Yao
   Wei, Wenzhi
TI Failure mode of rainfall-induced landslide of granite residual soil,
   southeastern Guangxi Province, China
SO EARTH SURFACE DYNAMICS
DT Article
ID WATER CHARACTERISTIC CURVE; ANTECEDENT RAINFALL; WENCHUAN EARTHQUAKE;
   SLOPE STABILITY; SHEAR-STRENGTH; DEBRIS FLOWS; GRAVEL SOIL;
   INFILTRATION; MECHANISMS; STRESS
AB Granite residual soil landslides are widely distributed in the southeast of Guangxi, China. They pose threats to local communities, economic development and ecological restoration. To understand the failure mode, the landslide can provide a scientific basis for early warning and prevention. In this study, we conducted artificial flume model tests to investigate the failure mode of granite residual soil landslide. The macroscopic phenomena of landslides were observed and summarized The response and variations of soil moisture content and pore water pressure were analyzed. And the discrepancies in landslide initiation were explored. The results had three aspects: (1) the response of volume moisture content was not synchronized with that of pore water pressure. Their variations were influenced by initial dry density, slope angle and rainfall intensity. The fluctuation of pore water pressure depended on soil mechanical behavior and its diffusion. (2) The differences in the formation process of granite residual soil landslides included the initiation time and mode. The starting time of landslide was delayed with increasing initial dry density and slope angle but shortened with increasing rainfall intensity. The failure mode could be changed from a sudden type to a progressive type due to the increase in initial dry density. (3) There are five stages in the landslide mobilization as follows: rain infiltration and crack generation, soil slide at the slope toe, occurrence of surface runoff and soil erosion, formation of steep-free surface, and soil slide at the upper slope. This research can provide valuable reference for the prevention and early warning of granite residual soil landslide in southeastern Guangxi.
C1 [Wu, Shanbai; Zhao, Ruihua; Liao, Liping; Yang, Yunchuan; Wei, Yao; Wei, Wenzhi] Guangxi Univ, Coll Civil Engn & Architecture, Nanning 530004, Peoples R China.
   [Wu, Shanbai; Zhao, Ruihua; Liao, Liping; Yang, Yunchuan; Wei, Yao; Wei, Wenzhi] Guangxi Univ, Guangxi Key Lab Disaster Prevent & Engn Safety, Nanning 530004, Peoples R China.
   [Wu, Shanbai; Zhao, Ruihua; Liao, Liping; Yang, Yunchuan; Wei, Yao; Wei, Wenzhi] Guangxi Univ, Key Lab Disaster Prevent & Struct Safety, Minist Educ, Nanning 530004, Peoples R China.
   [Wu, Shanbai] China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China.
C3 Guangxi University; Guangxi University; Guangxi University; China
   University of Geosciences
RP Liao, LP; Yang, YCA (corresponding author), Guangxi Univ, Coll Civil Engn & Architecture, Nanning 530004, Peoples R China.; Liao, LP; Yang, YCA (corresponding author), Guangxi Univ, Guangxi Key Lab Disaster Prevent & Engn Safety, Nanning 530004, Peoples R China.; Liao, LP; Yang, YCA (corresponding author), Guangxi Univ, Key Lab Disaster Prevent & Struct Safety, Minist Educ, Nanning 530004, Peoples R China.
EM 01llp@163.com; yyunchuan@163.com
TC 8
Z9 8
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 2196-6311
EI 2196-632X
PD NOV 4
PY 2022
VL 10
IS 6
BP 1079
EP 1096
DI 10.5194/esurf-10-1079-2022
SC Physical Geography; Geology
UT WOS:000878598200001
ER

PT J
AU Chen, S
   Miao, ZL
   Wu, LX
   He, YG
AF Chen, Shuai
   Miao, Zelang
   Wu, Lixin
   He, Yueguang
TI Application of an Incomplete Landslide Inventory and One Class
   Classifier to Earthquake-Induced Landslide Susceptibility Mapping
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Terrain factors; Earthquakes; Remote sensing; Support vector machines;
   Analytical models; Vegetation mapping; Earth; Earthquake-induced
   landslide; incomplete landslide inventory; landslide susceptibility;
   one-class support vector machine; slope unit
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; NEWMARK DISPLACEMENT;
   LOGISTIC-REGRESSION; MODELS; IMAGES; LUSHAN; CHINA; MAP
AB Rapid and effective evaluation of landslide susceptibility after earthquakes is critical for various applications, such as emergency rescue, land planning, and disaster prevention. Current research suffers from the lack of a complete landslide inventory and sample selection uncertainty issues. To solve these problems, this study presents a landslide susceptibility mapping model that integrates one-class support vector machine (OCSVM) and an incomplete landslide inventory, which was established with the aid of change detection from bi-temporal Landsat images. Wenchuan County is selected as the study area to test the performance of the proposed method. The proposed method is also compared with standard two-class SVM that selects a sample randomly. Experimental results show that OCSVM can achieve better performance than SVM when only an incomplete landslide inventory is available. The findings of this study can be applied to determine regional landslide susceptibility after earthquakes and provide an essential reference for emergency response.
C1 [Chen, Shuai; Miao, Zelang; Wu, Lixin] Cent South Univ, Minist Educ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.
   [Chen, Shuai; Miao, Zelang; Wu, Lixin] Cent South Univ, Minist Educ, Key Lab Metallogen Predict Nonferrous Met & Geol, Changsha 410083, Peoples R China.
   [He, Yueguang] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410004, Peoples R China.
C3 Central South University; Central South University; Changsha University
   of Science & Technology
RP Miao, ZL (corresponding author), Cent South Univ, Minist Educ, Sch Geosci & Infophys, Changsha 410083, Peoples R China.; Miao, ZL (corresponding author), Cent South Univ, Minist Educ, Key Lab Metallogen Predict Nonferrous Met & Geol, Changsha 410083, Peoples R China.
EM chens1227@163.com; zelang.miao@outlook.com; awulixin@263.net;
   894077350@qq.com
TC 32
Z9 34
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2020
VL 13
BP 1649
EP 1660
DI 10.1109/JSTARS.2020.2985088
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000532340300002
ER

PT J
AU Rao, G
   Cheng, YL
   Lin, AM
   Yan, B
AF Rao, Gang
   Cheng, Yali
   Lin, Aiming
   Yan, Bing
TI Relationship between Landslides and Active Normal Faulting in the
   Epicentral Area of the AD 1556 M∼8.5 Huaxian Earthquake, SE Weihe
   Graben (Central China)
SO JOURNAL OF EARTH SCIENCE
DT Article
DE landslides; active normal faults; Huaxian Earthquake; Weihe Graben;
   Ordos Block
ID MADRID SEISMIC ZONE; STATISTICAL-ANALYSIS; WENCHUAN EARTHQUAKE;
   COSEISMIC LANDSLIDES; TECTONICS; BASIN; DEFORMATION; CALIFORNIA;
   EXTENSION; EVOLUTION
AB In this paper, we focus on the characteristics of the landslides developed in the epicentral area of AD 1556 M similar to 8.5 Huaxian Earthquake, and discuss their relations to the active normal faults in the SE Weihe Graben, Central China. The results from analyzing high-resolution remote-sensing imagery and digital elevation models (DEMs), in combination with field survey, demonstrate that: (i) the landslides observed in the study area range from small-scale debris/rock falls to large-scale rock avalanches; (ii) the landslides are mostly developed upon steep slopes of >= 30*; and (iii) the step-like normal fault scarps along the range-fronts of the Huashan Mountains as well as the thick loess sediments in the Weinan area may facilitate the occurrence of large landslides. The results presented in this study would be helpful to assess the potential landslide hazards in densely-populated areas affected by active normal faulting.
C1 [Rao, Gang; Cheng, Yali] Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Zhejiang, Peoples R China.
   [Rao, Gang; Lin, Aiming; Yan, Bing] Kyoto Univ, Grad Sch Sci, Dept Geophys, Kyoto 6068502, Japan.
   [Yan, Bing] Nanjing Univ, Sch Earth Sci & Engn, Nanjing 210093, Jiangsu, Peoples R China.
C3 Zhejiang University; Kyoto University; Nanjing University
RP Rao, G (corresponding author), Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Zhejiang, Peoples R China.; Rao, G (corresponding author), Kyoto Univ, Grad Sch Sci, Dept Geophys, Kyoto 6068502, Japan.
EM raogang@zju.edu.cn
TC 24
Z9 34
PU CHINA UNIV GEOSCIENCES, BEIJING
PI WUHAN
PA 388 LUMO RD, WUHAN, 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD JUN
PY 2017
VL 28
IS 3
BP 545
EP 554
DI 10.1007/s12583-017-0900-z
SC Geology
UT WOS:000402694100014
ER

PT J
AU Bai, Y
   Li, AN
   Lei, GB
   Bian, JH
   Zhang, ZJ
   Nan, X
   Chen, LM
   Lin, XH
   Deng, Y
   Shao, HY
AF Bai, Yi
   Li, Ainong
   Lei, Guangbin
   Bian, Jinhu
   Zhang, Zhengjian
   Nan, Xi
   Chen, Limin
   Lin, Xiaohan
   Deng, Yi
   Shao, Huaiyong
TI Identifying spatiotemporal dynamics and driving factors of landscape
   pattern in Giant Panda National Park (GPNP) using an interpretable
   machine learning technology
SO ECOLOGICAL INDICATORS
DT Article
DE Landscape pattern; XGBoost-SHAP; Habitat quality; Conservation planning;
   Remote sensing
ID WOLONG NATURE-RESERVE; CLIMATE-CHANGE; AILUROPODA-MELANOLEUCA; WENCHUAN
   EARTHQUAKE; QINLING MOUNTAINS; HABITAT; FRAGMENTATION; CONSERVATION;
   ECOSYSTEM; SICHUAN
AB Giant Panda National Park (GPNP) is one of China's landmark conservation initiatives within its national park system and serves as a critical stronghold for global biodiversity. The spatiotemporal changes in its landscape patterns profoundly influence giant panda habitat quality and ecosystem resilience. In this study, we developed a comprehensive framework to analyze landscape-pattern dynamics and their driving mechanisms in GPNP. The framework leverages multi-temporal (1990-2020) land use/cover remote-sensing data combined with landscape pattern metrics to quantify habitat type transitions and capture spatiotemporal pattern changes. The influence of environmental and anthropogenic drivers was quantified, and the complex interactions shaping landscape dynamics were revealed with an interpretable XGBoost-SHAP model. The results show that the most significant habitat transitions occurred during 2005-2010, accounting for 50.6 % of the total transition area, largely driven by ecological restoration and natural disturbances. Landscape connectivity steadily increased, reflecting the positive effects of ecological restoration policies targeting GPNP's environment. The XGBoost-SHAP framework achieved strong predictive performance (accuracy = 0.74, AUC = 0.89), enabling reliable interpretation of landscape transitions. Among sixteen drivers, precipitation, NDVI, temperature, GPP, terrain ruggedness (TRI), and distance to roads (Lrdl) were identified as the most influential in shaping long-term landscape patterns in GPNP. These findings suggest that effective monitoring of GPNP's landscape pattern dynamics can provide a scientific basis for the conservation and management of giant panda habitats. Moreover, the proposed framework offers a transferable approach for analyzing landscape changes and driving mechanisms in similar wildlife ecosystems.
C1 [Bai, Yi; Li, Ainong; Lei, Guangbin; Bian, Jinhu; Zhang, Zhengjian; Nan, Xi; Chen, Limin; Lin, Xiaohan; Deng, Yi] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610299, Peoples R China.
   [Bai, Yi; Li, Ainong; Shao, Huaiyong] Chengdu Univ Technol, Coll Geog & Planning, Chengdu 610059, Peoples R China.
   [Bai, Yi; Li, Ainong; Lei, Guangbin; Bian, Jinhu; Zhang, Zhengjian; Nan, Xi; Chen, Limin; Lin, Xiaohan; Deng, Yi] Wanglang Mt Remote Sensing Observat & Res Stn Sich, Mianyang 621000, Peoples R China.
   [Li, Ainong; Chen, Limin; Lin, Xiaohan; Deng, Yi] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; Chinese Academy of
   Sciences; University of Chinese Academy of Sciences, CAS
RP Li, AN (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610299, Peoples R China.
EM ainongli@imde.ac.cn
TC 0
Z9 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1470-160X
EI 1872-7034
PD SEP
PY 2025
VL 178
AR 114121
DI 10.1016/j.ecolind.2025.114121
EA AUG 2025
SC Biodiversity & Conservation; Environmental Sciences & Ecology
UT WOS:001575572500002
ER

PT J
AU Jing, F
   Singh, RP
AF Jing, Feng
   Singh, Ramesh P.
TI Response of Surface and Atmospheric Parameters Associated With the Iran
   M 7.3 Earthquake
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Earthquakes; Satellites; Terrestrial atmosphere; Storms; Brightness
   temperature; Electromagnetic heating; Temperature sensors; Atmospheric
   variation; earthquake; microwave brightness temperature; remote sensing;
   satellite observation
ID LATENT-HEAT FLUX; ROBUST SATELLITE TECHNIQUE; WENCHUAN EARTHQUAKE;
   LAQUILA EARTHQUAKE; ANOMALIES; TECTONICS; RADIATION; EZGELEH; LAND; TIME
AB Multiparameter observed from satellite, including microwave brightness temperature, skin temperature, air temperature, and carbon monoxide, have been analyzed to identify the anomalous signals associated with the M 7.3 Iran earthquake of November 12, 2017. Besides removing the multiyear variability of parameters as background, the effect of surface and atmosphere of a dust storm event in Middle East region during October 29-November 1 is considered to distinguish the possible anomalies associated with the earthquake. The characteristic behaviors of surface and atmospheric parameters clearly show the signals associated with the M 7.3 earthquake and the dust storm event. The multiple parameters at different pressure levels provide clear evidence to identify the anomalous signals associated with an earthquake, which could help us to minimize the false alarms. Our results show the atmospheric disturbances caused by other natural hazard events could mask the thermal anomalies induced by tectonic activities, which cannot be ignored when detecting the abnormal surface and atmospheric signals associated with earthquake activities.
C1 [Jing, Feng] China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
   [Jing, Feng] China Earthquake Adm, Key Lab Earthquake Predict, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
   [Singh, Ramesh P.] Chapman Univ, Schmid Coll Sci & Technol, Orange, CA 92866 USA.
C3 China Earthquake Administration; Institute of Earthquake Forecasting,
   CEA; China Earthquake Administration; Institute of Earthquake
   Forecasting, CEA; Chapman University System; Chapman University
RP Jing, F (corresponding author), China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
EM jingfeng@cea-ies.ac.cn; rsingh@chapman.edu
TC 10
Z9 10
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2022
VL 15
BP 5841
EP 5852
DI 10.1109/JSTARS.2022.3188003
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000833772900010
ER

PT J
AU Guzzetti, F
   Mondini, AC
   Cardinali, M
   Fiorucci, F
   Santangelo, M
   Chang, KT
AF Guzzetti, Fausto
   Mondini, Alessandro Cesare
   Cardinali, Mauro
   Fiorucci, Federica
   Santangelo, Michele
   Chang, Kang-Tsung
TI Landslide inventory maps: New tools for an old problem
SO EARTH-SCIENCE REVIEWS
DT Article
DE Geomorphology; Landslide; Inventory map; Remote sensing; Satellite
   Image; LiDAR
ID RAINFALL-INDUCED LANDSLIDES; TIBER RIVER-BASIN; HAZARD ASSESSMENT;
   QUANTITATIVE ASSESSMENT; PERMANENT SCATTERERS; WENCHUAN EARTHQUAKE;
   INTERFEROMETRIC SAR; SHALLOW LANDSLIDES; NORTHERN APENNINES; SATELLITE
   IMAGERY
AB Landslides are present in all continents, and play an important role in the evolution of landscapes. They also represent a serious hazard in many areas of the world. Despite their importance, we estimate that landslide maps cover less than 1% of the slopes in the landmasses, and systematic information on the type, abundance, and distribution of landslides is lacking. Preparing landslide maps is important to document the extent of landslide phenomena in a region, to investigate the distribution, types, pattern, recurrence and statistics of slope failures, to determine landslide susceptibility, hazard, vulnerability and risk, and to study the evolution of landscapes dominated by mass-wasting processes. Conventional methods for the production of landslide maps rely chiefly on the visual interpretation of stereoscopic aerial photography, aided by field surveys. These methods are time consuming and resource intensive. New and emerging techniques based on satellite, airborne, and terrestrial remote sensing technologies, promise to facilitate the production of landslide maps, reducing the time and resources required for their compilation and systematic update. In this work, we first outline the principles for landslide mapping, and we review the conventional methods for the preparation of landslide maps, including geomorphological, event, seasonal, and multi-temporal inventories. Next, we examine recent and new technologies for landslide mapping, considering (i) the exploitation of very-high resolution digital elevation models to analyze surface morphology, (ii) the visual interpretation and semiautomatic analysis of different types of satellite images, including panchromatic, multispectral, and synthetic aperture radar images, and (iii) tools that facilitate landslide field mapping. Next, we discuss the advantages and the limitations of the new remote sensing data and technology for the production of geomorphological, event, seasonal, and multi-temporal inventory maps. We conclude by arguing that the new tools will help to improve the quality of landslide maps, with positive effects on all derivative products and analyses, including erosion studies and landscape modeling, susceptibility and hazard assessments, and risk evaluations. (c) 2012 Elsevier B.V. All rights reserved.
C1 [Guzzetti, Fausto; Mondini, Alessandro Cesare; Cardinali, Mauro; Fiorucci, Federica; Santangelo, Michele] CNR IRPI, I-06128 Perugia, Italy.
   [Mondini, Alessandro Cesare; Fiorucci, Federica; Santangelo, Michele] Univ Perugia, I-06123 Perugia, Italy.
   [Chang, Kang-Tsung] Kainan Univ, Tao Yuan 33857, Taiwan.
C3 Consiglio Nazionale delle Ricerche (CNR); Istituto di Ricerca per la
   Protezione Idrogeologica (IRPI-CNR); University of Perugia; Kainan
   University
RP Guzzetti, F (corresponding author), CNR IRPI, Via Madonna Alta 126, I-06128 Perugia, Italy.
EM F.Guzzetti@irpi.cnr.it
TC 1448
Z9 1618
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0012-8252
EI 1872-6828
PD APR
PY 2012
VL 112
IS 1-2
BP 42
EP 66
DI 10.1016/j.earscirev.2012.02.001
SC Geology
UT WOS:000304726200003
ER

PT J
AU Xu, C
   Xu, XW
AF Xu, Chong
   Xu, Xiwei
TI Controlling parameter analyses and hazard mapping for
   earthquake-triggered landslides: an example from a square region in
   Beichuan County, Sichuan Province, China
SO ARABIAN JOURNAL OF GEOSCIENCES
DT Article
DE The 2008 Wenchuan earthquake; Landslides; Statistical analysis;
   Geographic Information Systems (GIS); Landslide area percentage;
   Landslide number density; Landslide hazard mapping
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; STATISTICAL-ANALYSIS;
   PREFECTURE EARTHQUAKE; NIIGATA PREFECTURE; MID-NIIGATA; FUZZY-LOGIC;
   ROCK FALLS; SUSCEPTIBILITY; GIS
AB On May 12, 2008, at 1428 hours (Beijing time), a catastrophic earthquake, with a magnitude of Ms 8.0, struck the Sichuan Province, China. About 200,000 landslides, as a secondary geological hazard associated with the earthquake, were triggered over a broad area. These landslides were of almost all types such as shallow, disrupted landslides, rock falls, deep-seated landslides, and rock avalanches. Some of these landslides damaged and destroyed large part of some towns, blocked roads, dammed rivers, and caused other serious damages. The purpose of this study is to detect correlations between landslide occurrence and the surface rupture plane, ground shaking conditions (measured by peak ground acceleration, PGA), lithology, slope gradient, slope aspect, topographic position, and distance from drainages by using two indices, landslide area percentage (LAP) and the landslide number density (LND), based on geographic information system (GIS) technology and statistical analysis method in a square region (study area) of Beichuan County, Sichuan Province, China. There were 5,096 landslides related with the earthquake which were delineated by visual interpretation and selected field checking throughout the study area. The total area (horizontal projection) of the 5,096 landslides is about 41.103 km(2). The LAP, which is defined as the percentage of the plane area affected by landslides, was 10.276 %, and the LND, means the number of landslides per square kilometers, was 12.74 landslides/km(2). Statistical analysis results show that both LAP and LND have a positive correlation with slope gradient and a negative correlation with distance from the surface rupture. However, the correlation between the occurrence of landslides with PGA, topographic position, and distance from drainages are uncertain, or has just a little positive correlation. The correlation between landslide and slope aspect also shows the effect of the directivity of the seismic wave. The Zbq formation had the most concentrated landslide activity with the LND value of 21.78 landslides/km (,) (2) and the a(1) q Gr. geological units had the highest LAP value. Furthermore, weight index (W (i)) model is performed with a GIS platform to derive landslide hazard index map. The success rate of the model was 71.615 % and, thus, it was valid. In addition, comparison of five landslide controlling parameters' influence on landslide occurrences was also carried out.
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xc11111111@126.com
TC 27
Z9 30
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1866-7511
EI 1866-7538
PD OCT
PY 2013
VL 6
IS 10
BP 3827
EP 3839
DI 10.1007/s12517-012-0646-y
SC Geology
UT WOS:000324320400018
ER

PT J
AU Chen, HX
   Zhang, S
   Peng, M
   Zhang, LM
AF Chen, H. X.
   Zhang, S.
   Peng, M.
   Zhang, L. M.
TI A physically-based multi-hazard risk assessment platform for regional
   rainfall-induced slope failures and debris flows
SO ENGINEERING GEOLOGY
DT Article
DE Slope stability; Landslide; Debris flow; Risk assessment; GIS; Wenchuan
   earthquake
ID LANDSLIDE RISK; SHALLOW LANDSLIDES; RUNOUT CHARACTERISTICS; MODEL;
   EARTHQUAKE; SUSCEPTIBILITY; VULNERABILITY; THRESHOLDS; SIMULATION;
   INITIATION
AB Rainfall-induced slope failures and debris flows are two major hazards in mountainous areas. A physically-based multi-hazard risk assessment platform for regional rainfall-induced slope failures and debris flows has been developed in this study. The platform enables prompt assessment of risks posed by regional rainfall-induced slope failures and debris flows across multiple catchments, which is required in landslide risk management in a large area. It considers the contribution of slope failures to debris flows and the scenario of a location impacted by multiple slope failures or debris flows or both. The contribution of slope failures to debris flows is considered by adding the increased amount of channel deposit from slope failures to the source material of debris flows. The platform is applied to a highway near the epicentre of the 2008 Wenchuan earthquake. The platform predicts the impact areas and runout distances of regional debris flows reasonably well. The risk assessment results indicate that both slope failures and debris flows pose a great danger to travellers along the road shortly after the earthquake due to the presence of a large amount of loose landslide deposits on steep terrains. The materials from the slope failures triggered during a storm substantially increase the channel deposit volume, leading to significantly increased debris flow volume and risk. A multi-hazard risk assessment approach is necessary to consider the scenario of a location impacted by multiple slope failures or debris flows or both, since assessing risks of slope failures and debris flows separately may underestimate the risk. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Chen, H. X.; Zhang, S.; Zhang, L. M.] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
   [Peng, M.] Tongji Univ, Dept Geotech Engn, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai 200092, Peoples R China.
C3 Hong Kong University of Science & Technology; Tongji University
RP Zhang, LM (corresponding author), Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Hong Kong, Peoples R China.
EM cechenhx@ust.hk; zhangs@ust.hk; pengming@tongji.edu.cn; cezhangl@ust.hk
TC 60
Z9 65
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD MAR 25
PY 2016
VL 203
BP 15
EP 29
DI 10.1016/j.enggeo.2015.12.009
SC Engineering; Geology
UT WOS:000372688600003
ER

PT J
AU Kahal, AY
   Abdelrahman, K
   Alfaifi, HJ
   Yahya, MMA
AF Kahal, Ali Y.
   Abdelrahman, Kamal
   Alfaifi, Hussain J.
   Yahya, Madyan M. A.
TI Landslide hazard assessment of the Neom promising city, northwestern
   Saudi Arabia: An integrated approach
SO JOURNAL OF KING SAUD UNIVERSITY SCIENCE
DT Article
DE Landslide; Susceptibility; GIS; Thematic layers; Neom; Saudi Arabia
ID 2008 WENCHUAN EARTHQUAKE; ZONATION; AREA; GIS; INVENTORY; MODEL; RISK
AB Landslides hazard as one of the major environmental threats of the Neom promising city in northwestern Saudi Arabia has been assessed through data integration of several sources including topographic, geologic, and seismologic data sets. Moreover, Landsat imagery and historical landslide data are introduced in assessing landslide susceptibility of the study area. All these data oriented to generate eight thematic layers representing eight landslide conditioning factors. These factors arranged according to their relative importance for landslide susceptibility mapping as follows: slope angle, elevation, curvature, aspect, earthquake density, fault density, drainage density, and lineaments density. These factors were assessed using GIS through a numerical rating scheme for thematic layers. The ranks and weights were given in association with intensive field studies and authors' experiences. The estimated values of Landslide Potential Index (LPI) varies from 32 up to 107. Then, the resultant landslide susceptibility map classifies the landslide hazards into three relative classes of susceptibility: high, moderate, and low. Furthermore, this map was tested through several field checks and the extracted historical landslides within Neom area as well. This landslide susceptibility map will boost decision-making authority while executing the developing projects throughout the Neom promising area either avoiding strategic facilities or applying corrective geotechnical procedures to minimize the landslide hazardous impact for Neom city.
C1 [Kahal, Ali Y.; Abdelrahman, Kamal; Alfaifi, Hussain J.] King Saud Univ, Dept Geol & Geophys, POB 2455, Riyadh 11451, Saudi Arabia.
   [Abdelrahman, Kamal] Natl Res Inst Astron & Geophys, Seismol Dept, EL Marsad St 1, Cairo, Egypt.
   [Yahya, Madyan M. A.] King Abdulaziz Univ, Jeddah, Saudi Arabia.
C3 King Saud University; Egyptian Knowledge Bank (EKB); National Research
   Institute of Astronomy & Geophysics - NRIAG; King Abdulaziz University
RP Kahal, AY (corresponding author), King Saud Univ, Dept Geol & Geophys, POB 2455, Riyadh 11451, Saudi Arabia.
EM akahal@ksu.edu.sa
TC 20
Z9 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 1018-3647
EI 2213-686X
PD MAR
PY 2021
VL 33
IS 2
AR 101279
DI 10.1016/j.jksus.2020.101279
SC Science & Technology - Other Topics
UT WOS:000632597900005
ER

PT J
AU Lyu, HM
   Shen, JS
   Arulrajah, A
AF Lyu, Hai-Min
   Shen, Jack Shuilong
   Arulrajah, Arul
TI Assessment of Geohazards and Preventative Countermeasures Using AHP
   Incorporated with GIS in Lanzhou, China
SO SUSTAINABILITY
DT Article
DE geohazards; risk assessment; AHP and GIS; prevention countermeasures;
   Lanzhou City
ID WENCHUAN EARTHQUAKE-LANDSLIDE; SHALLOW LANDSLIDES; BAILONGJIANG BASIN;
   ZHOUQU SEGMENT; DEBRIS FLOWS; FLOOD RISK; MODEL; PREVENTION; STRENGTH;
   BEHAVIOR
AB This research investigates geohazards and preventative countermeasures for Lanzhou City, China. To investigate the factors related to the development of geohazards in Lanzhou, the regional geological conditions around Lanzhou were investigated. The geomorphology of the region is comprised of a loess landform underlying quaternary loess deposits. A large number of faults induced by strong neotectonic movements are present in the area. Therefore, earthquakes frequently occur around Lanzhou. Earthquakes cause numerous rock falls and landslides, with landslide masses found scattered on the upper middle level of the area's mountains. When intense rainfall occurs, a lot of loose deposits are brought together along steep gullies, forming debris flows; hence, a disaster chain of earthquake landslide debris flow is formed. To evaluate the georisks around Lanzhou, the Analytic Hierarchy Process (AHP) was employed to assess geohazards. The spatial distribution of the evaluated georisk levels was mapped using a Geographic Information System (GIS). Based on the assessed results, about 55% of the urban area and 44% of Gaolan County have high or very high-risk levels. The ratio of relatively high disaster risk levels is up to 31% of the total area. To mitigate these geohazards, both strategic decision making and technical countermeasures should be implemented.
C1 [Lyu, Hai-Min; Shen, Jack Shuilong] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
   [Lyu, Hai-Min; Shen, Jack Shuilong] Shanghai Jiao Tong Univ, Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Dept Civil Engn, Shanghai 200240, Peoples R China.
   [Arulrajah, Arul] Swinburne Univ Technol, Dept Civil & Construct Engn, Hawthorn, Vic 3122, Australia.
C3 Shanghai Jiao Tong University; Collaborative Innovation Center for
   Advanced Ship & Deep Sea Exploration; Shanghai Jiao Tong University;
   Swinburne University of Technology
RP Shen, JS (corresponding author), Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.; Shen, JS (corresponding author), Shanghai Jiao Tong Univ, Collaborat Innovat Ctr Adv Ship & Deep Sea Explor, Dept Civil Engn, Shanghai 200240, Peoples R China.
EM lvhaimin@sjtu.edu.cn; slshen@sjtu.edu.cn; aarulrajah@swin.edu.au
TC 132
Z9 148
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD FEB
PY 2018
VL 10
IS 2
AR 304
DI 10.3390/su10020304
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000425943100027
ER

PT J
AU Liu, B
   Chen, XD
   Zhou, ZL
   Tang, M
   Li, SM
AF Liu, Bin
   Chen, Xudong
   Zhou, Zhongli
   Tang, Min
   Li, Shiming
TI Research on disaster resilience of earthquake-stricken areas in
   Longmenshan fault zone based on GIS
SO ENVIRONMENTAL HAZARDS-HUMAN AND POLICY DIMENSIONS
DT Article
DE Longmenshan fault zone; earthquake-stricken areas; GIS; seismic
   intensity; topographic complexity; disaster resilience; post-earthquake
   effect
ID 2008 WENCHUAN EARTHQUAKE; COMMUNITY RESILIENCE; INDUCED LANDSLIDES;
   INDEX; EPICENTER
AB Since the Ms 8.0 earthquake occurred in Yingxiu, a town in Wenchuan County in Sichuan Province, on May 12, 2008, frequent geological disasters ensued on the land affected by earthquakes in the Longmenshan fault zone have caused a large number of casualties and property losses. Therefore, measuring the disaster resilience of earthquake-stricken areas is the priority for disaster prevention and mitigation science. Based on the in-depth analysis of the hazard of disaster resilience, this paper constructs the compatibility coefficient of industrial and employment structure and per capita GDP growth rate from the socio-economic perspective to measure the disaster resilience. Considering seismic intensity, this paper, with the help of Geographic Information Systems (GIS) technology and the topographic complexity index described by the topographic information entropy method, analyses the temporal and spatial change rule of disaster resilience in the heavily damaged area. The results show that the impact of the "post-earthquake effect" on disaster resilience tends to decrease concussively over time, and the seismic intensity and topographic complexity are important internal factors that restrict the improvement in disaster resilience. This paper will provide a broader application scenario for the concept of resilience, especially in post-earthquake integrated risk management and reconstruction process.
C1 [Liu, Bin; Tang, Min; Li, Shiming] Univ Elect Sci & Technol China, Sch Management & Econ, Chengdu, Sichuan, Peoples R China.
   [Liu, Bin; Chen, Xudong; Zhou, Zhongli] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Sichuan, Peoples R China.
   [Liu, Bin] Geomath Key Lab Sichuan Prov, Chengdu, Sichuan, Peoples R China.
C3 University of Electronic Science & Technology of China; Chengdu
   University of Technology
RP Chen, XD (corresponding author), Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Sichuan, Peoples R China.
EM chenxudong198401@163.com
TC 7
Z9 9
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1747-7891
EI 1878-0059
PD JAN 1
PY 2020
VL 19
IS 1
SI SI
BP 50
EP 69
DI 10.1080/17477891.2019.1671785
EA SEP 2019
SC Environmental Sciences & Ecology
UT WOS:000488187700001
ER

PT J
AU Li, RH
   Hu, XY
   Xu, D
   Liu, Y
   Yu, N
AF Li, Ruiheng
   Hu, Xiangyun
   Xu, Dong
   Liu, Yang
   Yu, Nian
TI Characterizing the 3D hydrogeological structure of a debris landslide
   using the transient electromagnetic method
SO JOURNAL OF APPLIED GEOPHYSICS
DT Article
DE Debris landslide; 3D hydrogeophysics model; Transient electromagnetic
   method; Preferential flow
ID WENCHUAN EARTHQUAKE; TEM DATA; INVERSION; AQUIFER; RESISTIVITY; SMOOTH;
   MODELS
AB Debris landslides are one of the most common types of landslides in the Wenchuan earthquake area. The characteristics of the hydrogeological structure are the basis for landslide stability evaluation and protection treatment. The preferred seepage paths developed in debris landslides control the flow of groundwater and have a direct impact on the soil instability and sliding surface instability.There fore, it is particularly important to understand the groundwater seepage system. Recently, many joint geophysical surveys have been used to detect the hydrogeological structure of landslides. However, these joint surveys aim to detect structures on a large scale and do not focus on the seepage path systems in debris landslides. It is difficult to detect the 3D structure of the seepage path system in detail, taking into account the portability, penetration, and resolution while meeting the practical needs of landslide prevention. To date, no one method has been identified as the best detection method for characterizing complex 3D hydrogeological structures. To reveal the complex seepage paths efficiently, we investigated a debris landslide in Xishan village, Sichuan Province, China, by using the transient electromagnetic method (TEM), which is a fast and portable method. Additionally, we proposed an effective quasi-3D inversion strategy with kdTree to determine the geoelectric structure and to make a geological interpretation. The interpretation was verified with field engineering surveys, other geophysical surveys, and remote sensing data. The results suggest that the complex 3D structure in this debris landslide is characterized by a dendritic pipe network-like seepage drainage system. In addition, this work assessed the ability to detect different parts of the landslide based on the given resolution. Furthermore, the resolution and detection efficiency of the TEM were compared with those of other geophysical methods. The assessment and comparison demonstrated that the TEM can be used as the main survey method to fulfill the real-world demands of detecting seepage path systems in a debris landslide. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Li, Ruiheng; Liu, Yang; Yu, Nian] Chongqing Univ, Sch Elect Engn, Chongqing 400044, Peoples R China.
   [Hu, Xiangyun; Xu, Dong] China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China.
C3 Chongqing University; China University of Geosciences
RP Yu, N (corresponding author), Chongqing Univ, Sch Elect Engn, Chongqing 400044, Peoples R China.; Hu, XY (corresponding author), China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China.
EM xyhu@163.com; yunian@126.com
TC 25
Z9 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0926-9851
EI 1879-1859
PD APR
PY 2020
VL 175
AR 103991
DI 10.1016/j.jappgeo.2020.103991
SC Geology; Mining & Mineral Processing
UT WOS:000527307000014
ER

PT J
AU Su, HC
   Fernandez, G
   Hu, XX
   Wu, SL
   Di, BF
   Tan, CP
AF Su, Haichuan
   Fernandez, Glenn
   Hu, Xiaoxi
   Wu, Shaolin
   Di, Baofeng
   Tan, Chunping
TI Predicting Change in Adaptation Strategies of Households to Geological
   Hazards in the Longmenshan Area, China Using Machine Learning and GIS
SO WATER
DT Article
DE landslide; adaptation strategy; GBDT; machine learning; mountain hazards
ID WENCHUAN EARTHQUAKE; LANDSLIDE SUSCEPTIBILITY; NATURAL DISASTERS; RISK;
   RECONSTRUCTION; IMPACTS; STATE
AB Hydrological changes combined with earthquakes easily trigger secondary disasters, including geological hazards. The secondary hazard of precipitation is the main disaster type in the Longmenshan Area (China). The 2008 Wenchuan earthquake caused more than 60,000 landslides, severely affecting rural households. This study aimed to answer two questions: (1) How did households adapt to the landslide-prone post-earthquake environment? (2) How will the households' adaptation strategies change if landslide frequency changes? Different post-disaster adaptation strategies of households in Longmenshan Town, Sichuan, China were identified through a questionnaire survey and then clustered into groups based on similarity using a K-means algorithm. Afterward, a gradient boosting decision tree (GBDT) was used to predict change in adaptation strategies if there was a change in the frequency of landslides. The results show that there are three types of landslide adaptation strategies in the study area: (1) autonomous adaptation; (2) policy-dependent adaptation; and (3) hybrid adaptation, which is a mixture of the first two types. If the frequency of landslides is increased, then around 5% of households previously under the autonomous adaptation type would be converted to policy-dependent and hybrid adaptation types. If the frequency of landslides is reduced, then around 5% of households with policy-dependent adaptation strategies would be converted to the autonomous adaptation type. This exploratory study provides a glimpse of how machine learning can be utilized to predict how adaptation strategies would be modified if hazard frequency changed. A follow-up long-term study in Longmenshan Town is needed to confirm whether the predictions are indeed correct.
C1 [Su, Haichuan; Fernandez, Glenn; Hu, Xiaoxi; Wu, Shaolin; Di, Baofeng; Tan, Chunping] Sichuan Univ, Inst Disaster Management & Reconstruct, Hong Kong Polytech Univ, Chengdu 610207, Peoples R China.
   [Su, Haichuan] Xihua Univ, Coll Emergency Management, Chengdu 611730, Peoples R China.
   [Di, Baofeng] Sichuan Univ, Coll Architecture & Environm, Chengdu 610065, Peoples R China.
   [Tan, Chunping] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
C3 Sichuan University; Hong Kong Polytechnic University; Xihua University;
   Sichuan University; Chinese Academy of Sciences; Institute of Mountain
   Hazards & Environment, CAS
RP Tan, CP (corresponding author), Sichuan Univ, Inst Disaster Management & Reconstruct, Hong Kong Polytech Univ, Chengdu 610207, Peoples R China.; Tan, CP (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM ethansu8@163.com; glenn@scu.edu.cn; romeo1992@163.com;
   wushaolin@stu.scu.edu.cn; dibaofeng@scu.edu.cn; chunping.tan@scu.edu.cn
TC 2
Z9 2
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-4441
PD APR
PY 2022
VL 14
IS 7
AR 1023
DI 10.3390/w14071023
SC Environmental Sciences & Ecology; Water Resources
UT WOS:000781670800001
ER

PT J
AU Zhang, JH
   Zhang, YL
   Dannenberg, MP
   Guo, QF
   Atkins, JW
   Li, WH
   Sun, G
AF Zhang, Jiehao
   Zhang, Yulong
   Dannenberg, Matthew P.
   Guo, Qinfeng
   Atkins, Jeff W.
   Li, Wenhong
   Sun, Ge
TI Eco-hydrological recovery following large vegetation disturbances from a
   mega earthquake on the eastern Tibetan plateau
SO JOURNAL OF HYDROLOGY
DT Article
DE Vegetation disturbance; Earthquake; Casual impact analysis;
   Eco-hydrological modeling; Evapotranspiration; Gross primary
   productivity
ID WENCHUAN EARTHQUAKE; DEBRIS FLOWS; TIME-SERIES; IMPACT; LANDSLIDES;
   AREAS; MODEL
AB Catastrophic earthquakes induce significant, enduring vegetation disturbances through extensive landslides and geomorphological alterations. The post-earthquake vegetation recovery hinges on the disturbance severity, climatic variability, and strategic human intervention, yet understanding of these critical processes and their influences on eco-hydrological functions at the landscape level remains limited. This study aims to quantify the earthquake's impacts on vegetation structure and eco-hydrological functions and to elucidate the recovery mechanisms driven by climate variability and human efforts. We focused on the 2008 Wenchuan Earthquake on China's eastern Tibetan plateau as a case study to investigate its influences on vegetation cover and ecohydrological functions in gross primary productivity (GPP), evapotranspiration (ET) and water yield (WY) using remote sensing, spatial-resolved causal impact analysis, and ecohydrological modeling. We found that the earthquake caused widespread vegetation disturbances from 2008 to 2010, altering land cover over 12% of the study area, and reducing GPP and ET by 7.0% and 14.7%, respectively. During this period, the affected regions witnessed a larger variation in WY, primarily due to a decrease in ET. From 2010 to 2018, GPP and ET showed rapid recovery, driven by both climatic factors (accounting for 23%-56% of the recovery), and human intervention (contributing 30%-42% to the recovery). Though WY did not show a statistically significant trend, human intervention-induced ET change was responsible for 38.9% to the changes in WY during the recovery period. Nevertheless, by 2018, 45% of the affected area still had not returned to pre-earthquake levels, with recovered areas remaining below the projected non-earthquake levels, indicating the vulnerability of mountainous ecosystems in recovery. Our findings highlight the significant, long-lasting eco-hydrological impacts of a catastrophic earthquake and underscore the effectiveness of integrating natural regeneration with targeted human restoration efforts. These insights improve our understanding of ecological vulnerability and resilience following natural hazards, providing valuable guidance for future post-natural disaster restoration initiatives.
C1 [Zhang, Jiehao] Chinese Acad Sci, Wuhan Bot Garden, Wuhan 430074, Peoples R China.
   [Zhang, Jiehao] China Univ Geosci, Dept Land Resources Adm, Wuhan 430074, Peoples R China.
   [Zhang, Jiehao; Zhang, Yulong; Guo, Qinfeng; Sun, Ge] US Forest Serv, Eastern Forest Environm Threat Assessment Ctr, USDA, Res Triangle Pk, NC 27709 USA.
   [Zhang, Yulong; Li, Wenhong] Duke Univ, Nicholas Sch Environm, Div Earth & Climate Sci, Durham, NC 27708 USA.
   [Dannenberg, Matthew P.] Univ Iowa, Dept Geog & Sustainabil Sci, Iowa City, IA 52245 USA.
   [Atkins, Jeff W.] US Forest Serv, USDA, Southern Res Stn, New Ellenton, SC 29809 USA.
C3 Chinese Academy of Sciences; Wuhan Botanical Garden, CAS; China
   University of Geosciences; United States Department of Agriculture
   (USDA); United States Forest Service; Duke University; University of
   Iowa; United States Department of Agriculture (USDA); United States
   Forest Service
RP Zhang, YL (corresponding author), US Forest Serv, Eastern Forest Environm Threat Assessment Ctr, USDA, Res Triangle Pk, NC 27709 USA.; Zhang, YL (corresponding author), Duke Univ, Nicholas Sch Environm, Div Earth & Climate Sci, Durham, NC 27708 USA.
EM yulong.zhang@duke.edu
TC 4
Z9 4
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
PD APR
PY 2025
VL 651
AR 132595
DI 10.1016/j.jhydrol.2024.132595
EA DEC 2024
SC Engineering; Geology; Water Resources
UT WOS:001421885900001
ER

PT J
AU Wang, ZL
   Zhang, JH
AF Wang, Zhile
   Zhang, Jihai
TI Agent-based evaluation of humanitarian relief goods supply capability
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
DT Article
DE Humanitarian relief; Agent-based simulation; GIS; Quantitative
   evaluation
ID SIMULATION; SYSTEM; CHAIN; MODEL; FRAMEWORK; GIS
AB Natural disasters cause great damage to lives, assets, and the economy. In disaster areas, relief goods are essential sources of life supplies, particularly in the post-disaster context. This study develops a prototype of a spatially explicit agent-based model and uses it to evaluate the deviation of end products between supply and demand for humanitarian relief goods in the areas affected by disaster within a specified time frame. The case modeled here is the supply of refined oil to areas affected by the 2008 Wenchuan earthquake in China. The approach focuses on supply and uses socio-spatial datasets, as well as transport and refined oil supply data. Based on the supply of refined oil to the disaster areas after the disaster, this study conducted a quantitative analysis using agent-based simulation of the humanitarian relief supply chain. The study finds that the approach is viable, despite the limitations of publicly available datasets on relief goods in China. The study asserts that this approach has potential in assisting policymakers seeking to identify system vulnerabilities and increase resilience in disaster-prone and disaster areas.
C1 [Wang, Zhile; Zhang, Jihai] Beijing Inst Technol, Sch Management & Econ, Dept Management Sci & Engn, 5 Zhongguancun South St, Beijing 100081, Peoples R China.
C3 Beijing Institute of Technology
RP Zhang, JH (corresponding author), Beijing Inst Technol, Sch Management & Econ, Dept Management Sci & Engn, 5 Zhongguancun South St, Beijing 100081, Peoples R China.
EM wzle1991@163.com; zhangjihai@bit.edu.cn
TC 37
Z9 42
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 2212-4209
PD MAY
PY 2019
VL 36
AR 101105
DI 10.1016/j.ijdrr.2019.101105
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000466496900018
ER

PT J
AU Zhang, JD
   Hull, V
   Huang, JY
   Yang, W
   Zhou, SQ
   Xu, WH
   Huang, Y
   Ouyang, ZY
   Zhang, HM
   Liu, JG
AF Zhang, Jindong
   Hull, Vanessa
   Huang, Jinyan
   Yang, Wu
   Zhou, Shiqiang
   Xu, Weihua
   Huang, Yan
   Ouyang, Zhiyun
   Zhang, Hemin
   Liu, Jianguo
TI Natural recovery and restoration in giant panda habitat after the
   Wenchuan earthquake
SO FOREST ECOLOGY AND MANAGEMENT
DT Article
DE Earthquake; Restoration; Natural recovery; Giant panda
ID WILDLIFE HABITAT; DISTURBANCE; DYNAMICS; CHINA; REGENERATION;
   BIODIVERSITY; ENVIRONMENT; LANDSLIDES; SUCCESSION; DIVERSITY
AB Natural disasters affect forest ecosystems in profound and complex ways. Artificial restoration projects have been conducted worldwide to repair disaster damage to forests, but the efficacy of such projects in light of naturally occurring recovery processes is rarely evaluated. To fill such an important knowledge gap, we investigated forest recovery and restoration in the world-renowned Wolong Nature Reserve in Sichuan, China after the catastrophic Wenchuan earthquake (magnitude 8.0) in 2008, which caused considerable damage to the forest and habitat of the endangered giant panda. This was the first multi-year field study to document natural recovery of forests in response to this disaster. Forest sampling conducted in panda habitat over a four-year period after the earthquake revealed that natural recovery was rapid, with vegetation covering roughly 70% of once denuded sites by the fourth sampling year. Vegetation recovery was further improved in sampled artificial restoration sites, which recovered from an average of 30% vegetation cover to 70% in only one year. Factors including soil cover and slope were correlated with successful vegetation recovery. New information learned from the multi-year field data provided a finer scale context for understanding the effects of disasters, a novel contribution considering that the majority of previous work has been conducted at the broader scale using remote sensing. Spatial analysis revealed that restoration sites were mainly distributed in areas of suitable slopes and elevations, but a measurable proportion (30-40%) were located too far from the existing panda distribution area and too close to human settlements. The restoration project has thus far had limited direct effect on giant panda conservation, but has indirect effects on improving forest cover in areas previously affected by human disturbances. This study provides a useful reference for understanding conditions affecting forest recovery, which can inform decision-making surrounding the implementation of forest restoration projects and conservation of endangered species, not only in China but also around the world. (C) 2014 Elsevier B.V. All rights reserved.
C1 [Zhang, Jindong; Xu, Weihua; Ouyang, Zhiyun] Chinese Acad Sci, Ecoenvironm Sci Res Ctr, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
   [Zhang, Jindong; Hull, Vanessa; Yang, Wu; Liu, Jianguo] Michigan State Univ, Dept Fisheries & Wildlife, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48823 USA.
   [Zhang, Jindong] China West Normal Univ, Inst Rare Anim & Plants, Nanchong 637002, Peoples R China.
   [Huang, Jinyan; Zhou, Shiqiang; Huang, Yan; Zhang, Hemin] China Conservat & Res Ctr Giant Panda, Wolong Nat Reserve, Sichuan 623006, Peoples R China.
C3 Chinese Academy of Sciences; Research Center for Eco-Environmental
   Sciences (RCEES), CAS; Michigan State University; China West Normal
   University
RP Ouyang, ZY (corresponding author), Chinese Acad Sci, Ecoenvironm Sci Res Ctr, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China.
EM zhangjd224@163.com; zyouyang@rcees.ac.cn; liuji@msu.edu
TC 65
Z9 87
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0378-1127
EI 1872-7042
PD MAY 1
PY 2014
VL 319
BP 1
EP 9
DI 10.1016/j.foreco.2014.01.029
SC Forestry
UT WOS:000335096900001
ER

PT J
AU Xu, XL
   Qiang, Y
   Li, L
   Liang, SY
   Chen, T
   Yang, WJ
   Tan, XY
   Wang, X
   Yang, H
AF Xu, Xinlong
   Qiang, Yue
   Li, Li
   Liang, Siyu
   Chen, Tao
   Yang, Wenjun
   Tan, Xinyi
   Wang, Xi
   Yang, He
TI A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for
   enhanced debris flow susceptibility assessment in rainfall-triggered
   terrains
SO SCIENTIFIC REPORTS
DT Article
DE Integrating model; Machine learning model; Physical model; Debris flow
   susceptibility mapping; Beichuan country
ID LANDSLIDE-SUSCEPTIBILITY; LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE;
   HAZARD
AB Traditional statistical models for debris-flow susceptibility often overlook critical triggering mechanisms and geotechnical parameters. To address this, we propose an innovative framework that couples the Maximum Entropy (MaxEnt) statistical model with the TRIGRS physical model, which simulates transient rainfall infiltration and grid-based regional slope stability. Focusing on seven towns in Beichuan County, China, we integrated thirteen environmental factors, geotechnical parameters, and historical hazard records to build a dual-driven "statistical-physical" evaluation framework. Our methodology consists of three steps: (1) Use TRIGRS to compute rainfall-induced safety factors (FS) and identify unstable zones (FS<1), which serve as the positive-sample database for MaxEnt; (2) Employ the MaxEnt model-using the TRIGRS-derived positive samples and historical debris-flow factors-to predict the spatial distribution of susceptibility; (3) Integrate both outputs spatially in GIS using dynamic weighting. Validation shows that the hybrid model improves prediction accuracy by 21% compared to MaxEnt alone (AUC=0.845). Its susceptibility map corrects 34.7% of the overpredicted areas from the statistical model and enlarges stable zones by 1.8 times. Additionally, to determine the optimal weighting between machine learning and the physical model, we tested three weight combinations and found that a 0.55:0.45 ratio (MaxEnt: TRIGRS) yields the best performance. Using an independent validation set from another study area, we correctly identified 83.6% of the historical debris-flow events in Changtan, demonstrating the framework's ability to integrate geostatistical patterns with geomechanical processes. This coupled framework offers a paradigm for multi-hazard chain assessment in complex terrain and can be directly applied to debris-flow early warning and regional disaster mitigation planning.
C1 [Xu, Xinlong; Qiang, Yue; Li, Li; Liang, Siyu; Chen, Tao; Yang, Wenjun; Tan, Xinyi; Wang, Xi] Chongqing Three Gorges Univ, Civil Engn Coll, Chongqing 404100, Peoples R China.
   [Yang, He] Chongqing Jiaotong Univ, Key Lab Hydraul & Waterway Engn, Minist Educ, Chongqing 400074, Peoples R China.
   [Yang, He] Chendu Univ, Architecture & Civil Engn Coll, Chengdu 610106, Peoples R China.
C3 Chongqing Three Gorges University; Chongqing Jiaotong University
RP Qiang, Y (corresponding author), Chongqing Three Gorges Univ, Civil Engn Coll, Chongqing 404100, Peoples R China.
EM qiangyue-320@163.com
TC 1
Z9 1
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD JUL 20
PY 2025
VL 15
IS 1
AR 26209
DI 10.1038/s41598-025-11284-4
SC Science & Technology - Other Topics
UT WOS:001555374800026
ER

PT J
AU Ge, YG
   Cui, P
   Zhang, JQ
   Zeng, C
   Su, FH
AF Ge Yong-gang
   Cui Peng
   Zhang Jian-qiang
   Zeng Chao
   Su Feng-huan
TI Catastrophic Debris Flows on July 10th 2013 along the Min River in Areas
   Seriously-hit by the Wenchuan Earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Debris flows; Wenchuan Earthquake; Characteristics; Damages; Causes;
   Preventions
ID LANDSLIDES; EPICENTER; EVENTS; CHINA
AB Over 240 debris flows occurred in hill-slopes, gullies ( indicated those with single-channel) and watersheds (indicated those with tributaries and channels) on July loth 2013 in the Wenchuan county, and caused 29 casualties and about 633x10(6) USD losses. This work aimed to analyze characteristics, hazards and causes of these events and explore mitigating measures based on field investigation and remote sensing images interpretation. The debris flows contained clay content of 0.1%similar to 3.56%, having densities of 1.72 similar to 2.14 t/m(3), velocities of 5.0 similar to 12.7 m/s, discharges of 335 similar to 2353 m(3)/s and sediment yields of 0.10 similar to 1.26x10(6) m(3), and also numerously occurred in large watersheds with the area over 10 km(2). Large debris flows formed 3 hazard-chains in slopes, gullies, watersheds and rivers, which all evolved in dammed lakes and outburst flood, and 26 dammed lakes and 10 newly ones were generated along the rivers of Min and Yuzi. The remarkable spatial difference of loose solid materials accumulation and intense rainfall, with the cumulative of about or more than 150 mm and the hourly of over 16mm, caused debris flows in the sections from Yingxiu to Miansi and Gengda. The damages on buildings, reconstructions, highways, factories and hydro power station originated from the impacting, scouring, burying of debris flows, the submerging of dammed lake and the scouring of outburst flood, and the huge losses came from the ruinous destructions of control engineering works of debris flows as well as the irrational location and low-resistant capabilities of reconstructions. For hazards mitigating of debris flows in long term, the feasible measures for short term, including risk-reassessing of foregone and potential hazard sites, regional alarming system establishing and integrated control in disastrous sites, and middle-long term, including improving reconstruction standard, rationally disposing river channel bed rise and selecting appropriate reconstruction time and plans, were strongly suggested.
C1 [Ge Yong-gang; Cui Peng; Zhang Jian-qiang; Su Feng-huan] Chinese Acad Sci, Chengdu Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Cui Peng] CAS Ctr Excellence Tibetan Plateau Earth Sci, Zurich, Switzerland.
   [Zeng Chao] Sichuan Engn Res Ctr Emergency Mapping & Disaster, Chengdu 610041, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS
RP Ge, YG (corresponding author), Chinese Acad Sci, Chengdu Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM gyg@imde.ac.cn; pengcui@imde.ae.cn; zhangjianqiang83@163.com;
   zeng3chao@163.com; fhsu@imde.ac.cn
TC 50
Z9 56
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JAN
PY 2015
VL 12
IS 1
BP 186
EP 206
DI 10.1007/s11629-014-3100-7
SC Environmental Sciences & Ecology
UT WOS:000348918000016
ER

PT J
AU Hu, M
   Liu, QQ
   Wu, F
   Yu, MT
   Jiang, SH
AF Hu, Man
   Liu, Qiuqiang
   Wu, Fei
   Yu, Mengting
   Jiang, Shenghua
TI GIS Enabled SPH-Soil Modeling for the Post-Failure Flow of Landslides
   Under Seismic Loadings
SO INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
DT Article
DE Landslide; smoothed particle hydrodynamics (SPH); earthquake; geographic
   information system (GIS)
ID PENETRATION; ALGORITHM; HYDRODYNAMICS; DEFORMATION; EARTHQUAKE;
   SIMULATION; FAILURE
AB Landslide can usually be induced by a strong earthquake, and it causes very serious property damage and human casualties. Modeling of post-failure flow of landslides is one of the important approaches that can be used to simulate landslide flow developments and predict the landslide hazard zone. In this paper, a Smoothed Particle Hydrodynamics (SPH) model based on the constitution of elastic-plastic constitutive mechanics for soil has been developed for simulating the behavior of a class of geo-materials under the seismic loadings. Our SPH-Soil model considers the plastic behavior of the materials, and hence it is very important for more accurate and realistic simulations of geo-materials of soil type. The implemented materials laws in the SPH-Soil code include classical elastic-plasticity with a linear elastic part, and different applicable yield surfaces with nonassociated flow rules. In order to apply this model to actual landslide modeling the Geographic Information System (GIS) is utilized to generate site-specific models. We have thus developed a C# code to generate the particles of a given landslide site, which produces realistic particle mass and actual complicated boundaries for the SPH-Soil model. With GIS enabled, complex topography and irregular boundary can be accurately and easily built up. Then the SPH-Soil code has been applied to the well-known Daguangbao landslide, which was triggered by Wenchuan earthquake in 2008. The topographies after failure were compared with that obtained from field collected data and good agreement was found.
C1 [Hu, Man; Wu, Fei; Yu, Mengting; Jiang, Shenghua] Southwest Univ, Coll Engn & Technol, Chongqing 400716, Peoples R China.
   [Liu, Qiuqiang] Minist Land & Resources China, Consultat Ctr Geohazard Emergency, Beijing 100081, Peoples R China.
C3 Southwest University - China; Ministry of Natural Resources of the
   People's Republic of China
RP Hu, M (corresponding author), Southwest Univ, Coll Engn & Technol, Chongqing 400716, Peoples R China.
EM humanyyyes@126.com
TC 13
Z9 13
PU WORLD SCIENTIFIC PUBL CO PTE LTD
PI SINGAPORE
PA 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
SN 0219-8762
EI 1793-6969
PD SEP
PY 2018
VL 15
IS 6
AR 1850046
DI 10.1142/S0219876218500469
SC Engineering; Mathematics
UT WOS:000443894800004
ER

PT J
AU Song, WW
   Zhang, R
   Yao, YB
   Liu, YY
   Hu, YM
AF Song, Weiwei
   Zhang, Rui
   Yao, Yibin
   Liu, Yanyan
   Hu, Yuming
TI PPP Sliding Window Algorithm and Its Application in Deformation
   Monitoring
SO SCIENTIFIC REPORTS
DT Article
ID POINT POSITIONING PPP; GPS DATA; EARTHQUAKE; RESOLUTION
AB Compared with the double-difference relative positioning method, the precise point positioning (PPP) algorithm can avoid the selection of a static reference station and directly measure the three-dimensional position changes at the observation site and exhibit superiority in a variety of deformation monitoring applications. However, because of the influence of various observing errors, the accuracy of PPP is generally at the cm-dm level, which cannot meet the requirements needed for high precision deformation monitoring. For most of the monitoring applications, the observation stations maintain stationary, which can be provided as a priori constraint information. In this paper, a new PPP algorithm based on a sliding window was proposed to improve the positioning accuracy. Firstly, data from IGS tracking station was processed using both traditional and new PPP algorithm; the results showed that the new algorithm can effectively improve positioning accuracy, especially for the elevation direction. Then, an earthquake simulation platform was used to simulate an earthquake event; the results illustrated that the new algorithm can effectively detect the vibrations change of a reference station during an earthquake. At last, the observed Wenchuan earthquake experimental results showed that the new algorithm was feasible to monitor the real earthquakes and provide early-warning alerts.
C1 [Zhang, Rui] South China Agr Univ, Coll Nat Resource & Environm, Guangzhou 510642, Guangdong, Peoples R China.
   [Song, Weiwei] Wuhan Univ, Res Ctr GNSS, Wuhan 430079, Peoples R China.
   [Yao, Yibin] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China.
   [Liu, Yanyan] Shenzhen Univ, Coll Civil Engn, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China.
   [Hu, Yuming] Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Guangdong, Peoples R China.
   [Hu, Yuming] Guangdong Prov Engn Res Ctr Land Informat Technol, Guangzhou 510642, Guangdong, Peoples R China.
   [Zhang, Rui] Key Lab Minist Land & Resources Construct Land T, Guangzhou 510642, Guangdong, Peoples R China.
C3 South China Agricultural University; Wuhan University; Wuhan University;
   Shenzhen University
RP Zhang, R (corresponding author), South China Agr Univ, Coll Nat Resource & Environm, Guangzhou 510642, Guangdong, Peoples R China.; Hu, YM (corresponding author), Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Guangdong, Peoples R China.; Hu, YM (corresponding author), Guangdong Prov Engn Res Ctr Land Informat Technol, Guangzhou 510642, Guangdong, Peoples R China.; Zhang, R (corresponding author), Key Lab Minist Land & Resources Construct Land T, Guangzhou 510642, Guangdong, Peoples R China.
EM zhangrui_sgg@126.com; ybyao@whu.edu.cn
TC 6
Z9 6
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD MAY 31
PY 2016
VL 6
AR 26497
DI 10.1038/srep26497
SC Science & Technology - Other Topics
UT WOS:000376873700001
ER

PT J
AU Du, K
   Long, TY
   Cheng, C
   Tai, M
AF Du, Kun
   Long, Tianyu
   Cheng, Chao
   Tai, Ming
TI Optimal layout of warning monitoring station in water distribution
   system in Earthquake-prone area
SO RESEARCH JOURNAL OF CHEMISTRY AND ENVIRONMENT
DT Article
DE Earthquake-prone area; water distribution system; water contamination;
   multi objective programming model; optimal layout of warning monitoring
   station
ID CONTAMINATION; REGION
AB As a result of the damages of the water distribution system in Wenchuan Earthquake occurring on May 12(th), 2008, the frequency of drinking water pollution incidents in earthquake-affected areas, such as Chengdu and Mianyang are much higher than that in usual areas. In order to get the-contamination information of drinking water effectively and timely in earthquake-prone area, the paper introduces an optimum method to select the placement of early warning monitoring station in water distribution system. Monitored by monitoring stations, an objective function about the time of the potential pollution was established by a multi objective programming model. Furthermore, an evaluation function is set up by using linear weighted sum method, in which the weight coefficient R-p is the probability of the contamination source in pipe after earthquake. Therefore, under the restriction condition of monitoring time limit, the optimal location of monitoring station could be fixed according to the solution of the evaluation function. In this paper, the method is applied to optimize the layout of warning monitoring station in water distribution system of Mianyang Sci-Tech Park.
C1 [Du, Kun; Long, Tianyu; Cheng, Chao; Tai, Ming] Chongqing Univ, Coll Urban Construct & Environm Engn, Chongqing 400044, Peoples R China.
   [Long, Tianyu] Chognqing Univ, Minist Educ, Key Lab Three Gorges Reservoir Area Ecol Environm, Chongqing 400045, Peoples R China.
C3 Chongqing University
RP Long, TY (corresponding author), Chongqing Univ, Coll Urban Construct & Environm Engn, Chongqing 400044, Peoples R China.
EM longty128@yahoo.com.cn
TC 6
Z9 6
PU DR JYOTI GARG
PI INDORE MP
PA SECTOR A/80 SCHEME NO 54, VIJAY NAGAR, A B ROAD, INDORE MP, 452 010,
   INDIA
SN 0972-0626
PD JUN
PY 2011
VL 15
IS 2
BP 768
EP 771
SC Chemistry; Environmental Sciences & Ecology
UT WOS:000294373200140
ER

PT J
AU Jiao, QJ
   Liu, QQ
   Lin, CG
   Jing, F
   Li, JJ
   Tian, YX
   Zhang, ZX
   Shen, XH
AF Jiao, Qijun
   Liu, Qinqin
   Lin, Changgui
   Jing, Feng
   Li, Jiajun
   Tian, Yuxiang
   Zhang, Zhenxia
   Shen, Xuhui
TI Spatiotemporal Analysis of Atmospheric Chemical Potential Anomalies
   Associated with Major Seismic Events (Ms ≥ 7) in Western China: A
   Multi-Case Study
SO REMOTE SENSING
DT Article
DE earthquake; seismic precursor; CAPRI algorithm; atmospheric chemical
   potential; temperature; relative humidity
ID EARTHQUAKE PREDICTION; WENCHUAN EARTHQUAKE; SATELLITE; PRECURSORS;
   SIGNALS
AB Focusing on major earthquakes (EQs; MS >= 7) in Western China, this study primarily analyzes the fluctuation in Atmospheric Chemical Potential (ACP) before and after the Wenchuan, Yushu, Lushan, Jiuzhaigou, and Maduo EQs via Climatological Analysis of Seismic Precursors Identification (CAPRI). The distribution of vertical ACP revealed distinct altitude-dependent characteristics. The ACP at lower atmospheric layers (100-2000 m) exhibited a high correlation, and this correlation decreased with increasing altitude. Anomalies were detected within one month prior to each of the five EQs studied, with the majority occurring 14 to 30 days before the events, followed by a few additional anomalies. The spatial distribution of anomalies is consistent with the distribution of fault zones, with noticeable fluctuation in surrounding areas. The ACP at an altitude of 200 m gave a balance between sensitivity to seismic signals and minimal surface interference and proved to be optimal for EQ monitoring in Western China. The results offer a significant reference for remote sensing studies related to EQ monitoring and the Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model, thereby advancing our understanding of pre-seismic atmospheric variations in Western China.
C1 [Jiao, Qijun; Zhang, Zhenxia] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
   [Liu, Qinqin; Li, Jiajun; Tian, Yuxiang; Shen, Xuhui] Chinese Acad Sci, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing 100190, Peoples R China.
   [Liu, Qinqin; Li, Jiajun; Tian, Yuxiang; Shen, Xuhui] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Solar Act & Space Weather, Beijing 100190, Peoples R China.
   [Lin, Changgui] Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing Technol, Beijing 100190, Peoples R China.
   [Jing, Feng] China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
   [Li, Jiajun; Tian, Yuxiang] Univ Chinese Acad Sci, Sch Emergency Management Sci & Engn, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; National Space Science Center, CAS; Chinese
   Academy of Sciences; National Space Science Center, CAS; Chinese Academy
   of Sciences; National Space Science Center, CAS; China Earthquake
   Administration; Institute of Earthquake Forecasting, CEA; Chinese
   Academy of Sciences; University of Chinese Academy of Sciences, CAS
RP Liu, QQ (corresponding author), Chinese Acad Sci, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing 100190, Peoples R China.; Liu, QQ (corresponding author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Solar Act & Space Weather, Beijing 100190, Peoples R China.
EM jiaoqijun22@mails.ucas.ac.cn; liuqinqin@nssc.ac.cn;
   linchanggui@nssc.ac.cn; jingfeng@cea-ies.ac.cn;
   lijiajun22@mails.ucas.ac.cn; tianyuxiang23@mails.ucas.ac.cn;
   zxzhang2018@163.com; shenxuhui@nssc.ac.cn
TC 0
Z9 0
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD JAN
PY 2025
VL 17
IS 2
AR 311
DI 10.3390/rs17020311
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001404608500001
ER

PT J
AU Li, N
   Guo, ZS
   Zhao, JH
   Wu, L
   Guo, ZW
AF Li, Ning
   Guo, Zhishun
   Zhao, Jianhui
   Wu, Lin
   Guo, Zhengwei
TI Characterizing Ancient Channel of the Yellow River From Spaceborne SAR:
   Case Study of Chinese Gaofen-3 Satellite
SO IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
DT Article
DE Scattering; Kernel; Image reconstruction; Convolution; Rivers; Soil;
   Satellites; Adaptive irregular convolution kernel U-Net (AICK-U-Net);
   ancient Yellow River (AYR); Gaofen-3; polarization decomposition;
   PolSAR; remote sensing archeology
ID WENCHUAN EARTHQUAKE
AB The lower reaches of the ancient Yellow River (AYR) migrated very frequently, like a loong swinging its tail on the land of China. As the origin of Chinese civilization, AYR provided natural conditions for the people to thrive. However, the sediment carried by AYR still has a negative impact on local agricultural production. This letter, based on Gaofen-3, extracted scattering characteristics of archeological anomalies, detecting part of AYR during Song and Jin Dynasties, which was confirmed with field investigations. Then, an adaptive irregular convolution kernel U-Net (AICK-U-Net) was proposed to reconstruct the channel of AYR, based on the images obtained by the different polarization decomposition methods in October, and the precision and recall reached 96.21% and 94.45%, respectively. Finally, two decision-level methods were proposed to optimize the reconstruction results, improving the precision and recall to 96.39% and 97.36%, respectively. In summary, Spaceborne synthetic aperture radar (SAR), with the application of polarization decomposition and neural network, provides new insights for detecting archeological anomalies and reconstructing archaeolandscapes.
C1 [Li, Ning; Guo, Zhishun; Zhao, Jianhui; Wu, Lin; Guo, Zhengwei] Henan Univ, Sch Comp & Informat Engn, Kaifeng 475004, Peoples R China.
   [Li, Ning; Guo, Zhishun; Zhao, Jianhui; Wu, Lin; Guo, Zhengwei] Henan Univ, Henan Key Lab Big Data Anal & Proc, Kaifeng 475004, Peoples R China.
   [Li, Ning; Guo, Zhishun; Zhao, Jianhui; Wu, Lin; Guo, Zhengwei] Henan Univ, Henan Engn Res Ctr Intelligent Technol & Applicat, Kaifeng 475004, Peoples R China.
C3 Henan University; Henan University; Henan University
RP Wu, L (corresponding author), Henan Univ, Sch Comp & Informat Engn, Kaifeng 475004, Peoples R China.
EM hedalining@henu.edu.cn; henuwl@henu.edu.cn
TC 21
Z9 21
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1545-598X
EI 1558-0571
PY 2022
VL 19
AR 1502805
DI 10.1109/LGRS.2021.3116693
SC Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science
   & Photographic Technology
UT WOS:000730789400016
ER

PT J
AU Hu, XD
   Hu, KH
   Tang, JB
   You, Y
   Wu, CH
AF Hu, Xudong
   Hu, Kaiheng
   Tang, Jinbo
   You, Yong
   Wu, Chaohua
TI Assessment of debris-flow potential dangers in the Jiuzhaigou Valley
   following the August 8, 2017, Jiuzhaigou earthquake, western China
SO ENGINEERING GEOLOGY
DT Article
DE Jiuzhaigou earthquake; Debris flow; Sediment augmentation; Potential
   danger assessment
ID 2008 WENCHUAN EARTHQUAKE; INDUCED LANDSLIDES; HAZARD ASSESSMENT; IMPACT;
   SIMULATION; PREDICTION; DISTANCES; MODEL; TIME; AREA
AB On August 8, 2017, an M-s 7.0 earthquake occurred at the Jiuzhaigou World Natural and Cultural Heritage, Sichuan Province, southwestern China. Eighty-three earthquake-induced landslides that directly damaged the Jiuzhaigou heritage sites were identified via remote-sensing interpretation and field survey. The coseismic landslides were concentrated primarily within 3 km of the seismogenic fault. Large volumes of sediments were transported into catchments of the Jiuzhaigou Valley, creating a geo-environment conducive to debris flow hazards triggered by post-earthquake heavy rainfall. A methodology combining the calculation of sediment augmentation, particle model, and numerical algorithm is developed to assess the potential dangers of post-quake debris flows. Five typical catchments strongly affected by the earthquake are chosen as study cases. The simulation results at Xiajijiehai Gully show a good agreement with the actual inundation area of the debris-flow event on September 25, 2017. The comparison of pre- and post-earthquake scenarios shows that an increase in sediment supply can greatly increase the debris-flow potential dangers characterized by higher maximum flow depths and larger inundation areas.
C1 [Hu, Xudong; Hu, Kaiheng; Tang, Jinbo; You, Yong; Wu, Chaohua] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Hu, Xudong; Hu, Kaiheng; Tang, Jinbo; You, Yong; Wu, Chaohua] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Hu, Xudong; Wu, Chaohua] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Hu, KH (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM huxudong@imde.ac.cn; khhu@imde.ac.cn; jinbotang@imde.ac.cn;
   yyong@imde.ac.cn; wuchaohua@imde.ac.cn
TC 71
Z9 84
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JUN 5
PY 2019
VL 256
BP 57
EP 66
DI 10.1016/j.enggeo.2019.05.004
SC Engineering; Geology
UT WOS:000472690300004
ER

PT J
AU Xu, ZG
   Chen, YM
   Yang, F
   Chu, TY
   Zhou, HY
AF Xu, Zhigiang
   Chen, Yumin
   Yang, Fan
   Chu, Tianyou
   Zhou, Hongyan
TI A Postearthquake Multiple Scene Recognition Model Based on Classical SSD
   Method and Transfer Learning
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE earthquake disasters; scene recognition; deep learning; classical SSD
   method; transfer learning
ID WENCHUAN EARTHQUAKE
AB The recognition of postearthquake scenes plays an important role in postearthquake rescue and reconstruction. To overcome the over-reliance on expert visual interpretation and the poor recognition performance of traditional machine learning in postearthquake scene recognition, this paper proposes a postearthquake multiple scene recognition (PEMSR) model based on the classical deep learning Single Shot MultiBox Detector (SSD) method. In this paper, a labeled postearthquake scenes dataset is constructed by segmenting acquired remote sensing images, which are classified into six categories: landslide, houses, ruins, trees, clogged and ponding. Due to the insufficiency and imbalance of the original dataset, transfer learning and a data augmentation and balancing strategy are utilized in the PEMSR model. To evaluate the PEMSR model, the evaluation metrics of precision, recall and F1 score are used in the experiment. Multiple experimental test results demonstrate that the PEMSR model shows a stronger performance in postearthquake scene recognition. The PEMSR model improves the detection accuracy of each scene compared with SSD by transfer learning and data augmentation strategy. In addition, the average detection time of the PEMSR model only needs 0.4565s, which is far less than the 8.3472s of the traditional Histogram of Oriented Gradient + Support Vector Machine (HOG+SVM) method.
C1 [Xu, Zhigiang; Chen, Yumin; Yang, Fan; Chu, Tianyou; Zhou, Hongyan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
C3 Wuhan University
RP Chen, YM (corresponding author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.
EM xuzq97@whu.edu.cn; ymchen@whu.edu.cn; fan_yang@whu.edu.cn;
   chutianyou@whu.edu.cn; 2019282050143@whu.edu.cn
TC 14
Z9 19
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD APR
PY 2020
VL 9
IS 4
AR 238
DI 10.3390/ijgi9040238
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000539535700053
ER

PT J
AU Wu, JW
   Huang, XM
   Xie, FR
AF Wu Ji-Wen
   Huang Xue-Meng
   Xie Fu-Ren
TI Late Quaternary slip rate of the Garze-Yushu fault zone (Dangjiang
   Segment)
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Late Quaternary strike-slip rate; Kinematic characteristics; Dangjiang
   fault; Garze-Yushu fault zone; Tibetan Plateau
ID ALTYN TAGH FAULT; SICHUAN-YUNNAN REGION; INDIA-ASIA COLLISION; TIBETAN
   PLATEAU; KUNLUN FAULT; CONTINENTAL DEFORMATION; WENCHUAN EARTHQUAKE;
   BATANG FAULT; ICE CORE; CHINA
AB Garze-Yushu fault zone is not only a large-scale left-lateral strike-slip fault in the central-eastern Tibet, but also a significant geological boundary between Bayan Har and Qiangtang blocks. The Dangjiang fault, which is located at the western segment of the Garze-Yushu fault zone, controls the development of a series of Quaternary fault valleys along it, such as the Dangjiangrong, Dangjiang and Zheda valleys. Based on the interpretation of remote sensing images, analysis of DEM data, field investigations, and optically stimulated luminescence (OSL) measurements, it is found that a series of gullies, fluvial terraces and alluvial fans are systematically offset by the Dangjiang fault, which suggests that the Dangjiang fault is a strongly active left-lateral strike-slip fault in late Quaternary. The time of the latest activity of this fault is after 3. 04 ka. Average left-lateral strike-slip rate of this fault is about 7+/-3 mm . a(-1). This study provides basic materials for the seismic hazard assessment of this area and kinematics analysis of northeastern margin of Tibetan Plateau.
C1 [Wu Ji-Wen; Huang Xue-Meng; Xie Fu-Ren] China Earthquake Adm, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.
   [Wu Ji-Wen] Chinese Acad Geol Sci, Inst Karst Geol, Guilin 541004, Peoples R China.
C3 China Earthquake Administration; China Geological Survey; Institute of
   Karst Geology, Chinese Academy of Geological Sciences; Chinese Academy
   of Geological Sciences
RP Huang, XM (corresponding author), China Earthquake Adm, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.
EM w751886823@sina.com; huangmeng00000@163.com
TC 12
Z9 15
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD OCT
PY 2017
VL 60
IS 10
BP 3872
EP 3888
DI 10.6038/cjg20171017
SC Geochemistry & Geophysics
UT WOS:000413176400017
ER

PT J
AU Li, YE
   Huang, JL
   Pu, H
   Han, Z
   Li, W
   Yan, B
AF Li, Yange
   Huang, Jianling
   Pu, Hao
   Han, Zheng
   Li, Wei
   Yan, Bin
TI Semiautomatic Landslide Detection Using Remote Sensing and Slope Units
SO TRANSPORTATION RESEARCH RECORD
DT Article
AB Landslides induced by earthquakes and rainfall pose severe threats to the infrastructure of highways and high-speed railways. To plan an immediate emergency response, the location and scale of these landslides should be known beforehand. Traditionally, to detect multitemporal landslides induced by earthquakes and the long-term effects, along with other factors such as subsequent rainfall, one had to carry out image classification multiple times to calculate the variance information. The accuracy of that method is affected by accumulated errors from multi-classification, and the process is very time-consuming. In this paper, a semiautomatic approach is proposed for rapid mapping of multitemporal landslides. The approach can obtain the variance information of each landslide event in one detection process. In addition, slope units are introduced to separate the extracted conjoined landslides. The area of Chenjiaba, China, which is located in the highest seismic intensity zone of the Wenchuan earthquake in Beichuan and had strong rainfall 4 months after the earthquake, was selected as a case study to demonstrate the validity of this methodology. Accuracy assessment was carried out by comparing extracted landslides with a manually prepared landslide inventory map. Correctly detected were 90.1% and 94.2% of earthquake- and rainfall-induced landslides, respectively. Results show that this approach is capable of mapping temporal landslides efficiently and quickly.
C1 [Li, Yange; Pu, Hao; Han, Zheng; Li, Wei; Yan, Bin] Cent S Univ, Sch Civil Engn, 22 Shaoshan South Rd, Changsha 410075, Hunan, Peoples R China.
   [Huang, Jianling] Cent S Univ, Sch Civil Engn, 932 South Lushan Rd, Changsha 410083, Hunan, Peoples R China.
C3 Central South University; Central South University
RP Han, Z (corresponding author), Cent S Univ, Sch Civil Engn, 22 Shaoshan South Rd, Changsha 410075, Hunan, Peoples R China.
EM hankzzz@163.com
TC 2
Z9 2
PU SAGE PUBLICATIONS INC
PI THOUSAND OAKS
PA 2455 TELLER RD, THOUSAND OAKS, CA 91320 USA
SN 0361-1981
EI 2169-4052
PD JAN
PY 2017
IS 2604
BP 104
EP 110
DI 10.3141/2604-13
SC Engineering; Transportation
UT WOS:000492896500010
ER

PT J
AU Qiu, HJ
   Cui, P
   Hu, S
   Regmi, AD
   Wang, XG
   Yang, DD
AF Qiu, Haijun
   Cui, Peng
   Hu, Sheng
   Regmi, Amar Deep
   Wang, Xingang
   Yang, Dongdong
TI Developing empirical relationships to predict loess slide travel
   distances: a case study on the Loess Plateau in China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslides; Empirical relationships; Travel distance; Comparison; Loess
ID WENCHUAN EARTHQUAKE AREA; RAPID LANDSLIDES; DEBRIS FLOWS; RUNOUT; MODEL;
   RAINFALL; MOBILITY; SIMULATION; AVALANCHES; SLOPES
AB To improve landslide hazard mapping quality, a functional relationship with travel distance prediction is essential. To obtain a more accurate empirical relationship for predicting loess slide travel distances, we developed a loess slide database for the central Loess Plateau using a combination of remote sensing image interpretations, existing datasets, and an intensive field survey. The loess slide travel distance was concentrated within less than 200m, according to a cumulative frequency analysis. Our results reveal that the loess slide volume, slope height, and slope inclination of the sliding area control the travel distance, and this relation is well-described by a power law function. Furthermore, statistical analysis suggested that the equivalent coefficient of friction decreases with an increase in loess slide volume but increases with an increase in slope inclination. We compared the prediction performances of four empirical relationships proposed in this study using the mean absolute percentage error and Theil inequality coefficient methods. We discovered that the empirical relationship with three independent variables can more accurately predict the loess slide travel distance than the relationships with one or two independent variables.
C1 [Qiu, Haijun] Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Shaanxi, Peoples R China.
   [Qiu, Haijun] Northwest Univ, Inst Earth Surface Syst & Hazards, Xian 710127, Shaanxi, Peoples R China.
   [Qiu, Haijun; Hu, Sheng; Yang, Dongdong] Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Shaanxi, Peoples R China.
   [Cui, Peng; Regmi, Amar Deep] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Wang, Xingang] Northwest Univ, State Key Lab Continental Dynam, Dept Geol, Xian 710069, Peoples R China.
C3 Northwest University Xi'an; Northwest University Xi'an; Northwest
   University Xi'an; Chinese Academy of Sciences; Institute of Mountain
   Hazards & Environment, CAS; Northwest University Xi'an
RP Qiu, HJ (corresponding author), Northwest Univ, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Shaanxi, Peoples R China.; Qiu, HJ (corresponding author), Northwest Univ, Inst Earth Surface Syst & Hazards, Xian 710127, Shaanxi, Peoples R China.; Qiu, HJ (corresponding author), Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Shaanxi, Peoples R China.
EM 13991345616@163.com
TC 13
Z9 14
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD NOV
PY 2018
VL 77
IS 4
BP 1299
EP 1309
DI 10.1007/s10064-018-1328-0
SC Engineering; Geology
UT WOS:000448255600002
ER

PT J
AU Hu, W
   Scaringi, G
   Xu, Q
   Huang, RQ
AF Hu, Wei
   Scaringi, Gianvito
   Xu, Qiang
   Huang, Runqiu
TI Acoustic Emissions and Microseismicity in Granular Slopes Prior to
   Failure and Flow-Like Motion: The Potential for Early Warning
SO GEOPHYSICAL RESEARCH LETTERS
DT Article
ID 2008 WENCHUAN EARTHQUAKE; SHEAR-WAVE VELOCITY; DEBRIS FLOWS; LANDSLIDE;
   SENSITIVITY; INSTABILITY; MOVEMENTS; DEPOSITS; BEHAVIOR; CRACKING
AB Rain-triggered landslides in loosely packed granular deposits are highly hazardous because of their sudden failure, flow-like motion, and high mobility. Predicting their initiation and establishing monitoring and early-warning strategies based on the actual mechanisms of failure, rather than on statistical-empirical relations, can be challenging. Experiments on artificial granular slopes revealed a systematic instability-triggering process entailing the internal erosion and seepage-driven transport of small grains. This rearrangement of matter generates acoustic signals and microseismicity detectable prior to any pore water pressures spikes or macroscopic deformations, which are common proxies for slope stability monitoring. Acoustic emissions are more pronounced in loose assemblies, while they are much weaker in densely packed mixtures, which will not exhibit fluid-like motion. Acoustic sensors and accelerometers in support to monitoring networks for flow-like landslides can improve our early warning capabilities, as long as their good performance is confirmed in real-scale applications.
   Plain Language Summary Some landslides initiated by rainfalls and evolving into very fast and destructive fluid-like movements are hardly predictable because they happen suddenly, with little warning. Traditional monitoring systems might fail to capture precursory signals, and thus, timely alarms cannot always be released. These systems mostly rely on known correlations between the amount and intensity of rainfall and the occurrence of landslides in the past or on the detection of water level and pressure changes by instruments installed within the slopes. However, these changes are often detected late, when the movement is already accelerating dramatically. In our experiments, we found that one of the processes that trigger flow-like landslides in granular soils is the internal erosion of small soil particles transported by water flowing within the slopes. This produces measurable vibrations (microseismicity) and sounds (acoustic emissions) well before water pressure changes and deformation trends can be identified. The performance of real-scale acoustic and seismic monitoring systems is still being verified, but we believe that complementing slopes monitoring with acoustic and seismic sensors can be the winning strategy to provide more timely alarms to evacuate people along the landslide paths and save more lives.
C1 [Hu, Wei; Scaringi, Gianvito; Xu, Qiang; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Scaringi, G (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Sichuan, Peoples R China.
EM g.scaringi@qq.com
TC 36
Z9 44
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
PD OCT 16
PY 2018
VL 45
IS 19
BP 10406
EP 10415
DI 10.1029/2018GL079724
SC Geology
UT WOS:000448656800044
ER

PT J
AU Zhao, B
   Wang, YS
   Luo, YH
   Li, J
   Mang, X
   Shen, T
AF Zhao, Bo
   Wang, Yun-sheng
   Luo, Yong-hong
   Li, Jia
   Mang, Xin
   Shen, Tong
TI Landslides and dam damage resulting from the Jiuzhaigou earthquake (8
   August 2017), Sichuan, China
SO ROYAL SOCIETY OPEN SCIENCE
DT Article
DE Jiuzhaigou Ms 7.0 earthquake; landslides; dam damaged; failure mode;
   distribution law
ID WENCHUAN EARTHQUAKE; 1994 NORTHRIDGE; SUSCEPTIBILITY; CALIFORNIA;
   MECHANISM
AB At 21.19 on 8 August 2017, an Ms 7.0 earthquake struck the Jiuzhaigou scenic spot in northwestern Sichuan Province, China. The Jiuzhaigou earthquake is a strike-slip earthquake with a focal depth of 20 km at 33.20 degrees N and 103.82 degrees E, and was caused by two concealed faults. According to emergency investigations and remote sensing interpretations, the Jiuzhaigou earthquake triggered 1780 landslides, damaged one dam (Nuorilang Waterfall) and broke one dam (Huohua Lake). The landslides mainly occurred in the Rize Valley and Shuzheng Valley and in Jiuzhai Paradise. The landslides involved hanging wall and back-slope effects, and the slope angle, slope aspect, seismic faults and valley trend were obviously related to the occurrence of the landslides. Specifically, most of the landslides were shallow landslides, rockfalls and rock avalanches and were small in scale. The failure modes of landslides mainly include wedge rock mass failure, residual deposit failure, relaxed rock mass failure and weathered rock mass failure. The initial low stability of the dam coupled with the topographic effect, back-slope effect and excess pore water pressure led to damage to the Nuorilang Waterfall dam.
C1 [Zhao, Bo; Wang, Yun-sheng; Luo, Yong-hong; Li, Jia; Mang, Xin; Shen, Tong] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Wang, YS (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM wangys60@163.com
TC 60
Z9 70
PU ROYAL SOC
PI LONDON
PA 6-9 CARLTON HOUSE TERRACE, LONDON SW1Y 5AG, ENGLAND
SN 2054-5703
PD MAR
PY 2018
VL 5
IS 3
AR 171418
DI 10.1098/rsos.171418
SC Science & Technology - Other Topics
UT WOS:000428874600014
ER

PT J
AU Deng, Y
   Deng, YK
AF Deng, Yang
   Deng, Yunkai
TI Two-Step Matching Approach to Obtain More Control Points for SIFT-like
   Very-High-Resolution SAR Image Registration
SO SENSORS
DT Article
DE VHR SAR image; SITF-OCT; CPs
ID ALGORITHM; OPERATOR
AB Airborne VHR SAR image registration is a challenging task. The number of CPs is a key factor for complex CP-based image registration. This paper presents a two-step matching approach to obtain more CPs for VHR SAR image registration. In the past decade, SIFT and other modifications have been widely used for remote sensing image registration. By incorporating feature point location affine transformation, a two-step matching scheme, which includes global and local matching, is proposed to allow for the determination of a much larger number of CPs. The proposed approach was validated by 0.5 m resolution C-band airborne SAR data acquired in Sichuan after the 2008 Wenchuan earthquake via a SAR system designed by the IECAS. With the proposed matching scheme, even the original SIFT, which is widely known to be unsuitable for SAR images, can achieve a much larger number of high-quality CPs than the one-step SIFT-OCT, which is tailored for SAR images. Compared with the classic one-step matching approach using both the SIFT and SITF-OCT algorithms, the proposed approach can obtain a larger number of CPs with improved precision.
C1 [Deng, Yang; Deng, Yunkai] Chinese Acad Sci, Aerosp Informat Res Inst, Space Microwave Remote Sensing Syst Dept, Beijing 100190, Peoples R China.
   [Deng, Yang; Deng, Yunkai] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100039, Peoples R China.
C3 Chinese Academy of Sciences; Aerospace Information Research Institute,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS
RP Deng, Y (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Space Microwave Remote Sensing Syst Dept, Beijing 100190, Peoples R China.; Deng, Y (corresponding author), Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100039, Peoples R China.
EM dengyang18@mails.ucas.edu.cn
TC 2
Z9 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 1424-8220
PD APR
PY 2023
VL 23
IS 7
AR 3739
DI 10.3390/s23073739
SC Chemistry; Engineering; Instruments & Instrumentation
UT WOS:000970338600001
ER

PT J
AU Wu, LX
   Qin, K
   Liu, SJ
AF Wu, Li-xin
   Qin, Kai
   Liu, Shan-jun
TI GEOSS-Based Thermal Parameters Analysis for Earthquake Anomaly
   Recognition
SO PROCEEDINGS OF THE IEEE
DT Article
DE Earthquake; remote sensing; temperature
ID TEMPERATURE-CHANGES; SATELLITE; PRECURSORS; FAILURE
AB Although earthquakes are difficult to be predicted because of the complexity of the Earth system and the uncertainty of seismogenic processes, GEOSS provides multiple sources of observation data and brings a possibility to extract a thermal anomaly that would have a significant effect on earthquake prediction. Referring to the analysis on the lithosphere-coversphere-atmosphere (LCA) coupling due to stress enhancement in seismogenic zone, six thermal parameters, including surface latent heat flux (SLHF), thermal infrared radiation (TIR), outgoing longwave radiation (OLR), diurnal temperature range (DTR), atmospheric temperature, and skin temperature, are selected for GEOSS-based earthquake anomaly recognition (EAR). The inherent relations between the six thermal parameters are preliminarily introduced in consideration of possible LCA coupling. With over-quantity, quasi-synchronism, and geo-consistency being defined as three rules for data mining, a deviation-time-space-thermal (DTS-T) EAR method as well as its procedures are developed in this paper. With 2008 M7.3 Yutian earthquake, China, 2008 M8.0 Wenchuan earthquake, China, and 2010 M7.1 Christchurch earthquake, New Zealand, being examples of tectonic earthquakes, the technical procedures of DTS-T method are demonstrated, which show that the obtained compositive thermal anomaly has a significant effect on earthquake prediction.
C1 [Wu, Li-xin] MOE Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China.
   [Wu, Li-xin; Qin, Kai] China Univ Min & Technol Beijing, Coll Geosci & Surveying Engn, Beijing 10083, Peoples R China.
   [Liu, Shan-jun] Northeastern Univ, Inst Geoinformat & Digital Mine, Shenyang 110019, Peoples R China.
C3 China University of Mining & Technology; Northeastern University - China
RP Wu, LX (corresponding author), MOE Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing 100875, Peoples R China.
EM awulixin@yahoo.com.cn; qinkai20071014@163.com; liusjdr@126.com
TC 89
Z9 105
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 0018-9219
EI 1558-2256
PD OCT
PY 2012
VL 100
IS 10
SI SI
BP 2891
EP 2907
DI 10.1109/JPROC.2012.2184789
SC Engineering
UT WOS:000308996200010
ER

PT J
AU Bayer, B
   Kind, R
   Hoffmann, M
   Yuan, X
   Meier, T
AF Bayer, B.
   Kind, R.
   Hoffmann, M.
   Yuan, X.
   Meier, T.
TI Tracking unilateral earthquake rupture by P-wave polarization analysis
SO GEOPHYSICAL JOURNAL INTERNATIONAL
DT Article
DE Time-series analysis; Earthquake source observations; Early warning
ID SUMATRA; LOCATION; EXTENT
AB Rapid estimation of earthquake rupture propagation is essential to declare an early warning for tsunami-generating earthquakes. An increasing number of seismological methods have been developed to determine rupture parameters, such as length, velocity and propagation direction, especially since the occurrence of the SumatraAndaman earthquake that resulted in a devastating tsunami in the Indian Ocean region. Here, we present a new method to follow the rupture process in near real time by a polarization analysis of local and regional P phases that permits a faster determination of rupture properties than using teleseismic records. The new technique has the capability to provide detailed information in less than 10 min. Originally, the method stems from a single-station earthquake location method and is expanded here to monitor P-phase polarization variations through time. As the earthquake source moves away from the hypocentre, the backazimuth of an incoming P phase is expected to change accordingly. With polarization analysis we may be able to monitor the temporal change in P-wave backazimuth to follow the rupture process in near real time. Three component P phases are scanned to determine the azimuthal variation as a function of time. The backazimuth of a moving rupture front is determined by the first eigenvector of the covariance matrix. The linearity of the particle motion is used as a measure of the quality of the data. Seismic stations at local and regional distances () are used. We tested the new method with a theoretical simulation and observed seismograms of the SumatraAndaman earthquake (2004 December 26, Mw= 9.3), and we were able to follow the rupture for the first 200 s. For larger ruptures, stations at more than 30 degrees epicentral distances would be required. The method is also successfully applied to the Wenchuan earthquake (2008 May 12, Mw= 8.0).
C1 [Meier, T.] Univ Kiel, D-24118 Kiel, Germany.
   [Kind, R.] Freie Univ, Berlin, Germany.
   [Bayer, B.; Kind, R.; Hoffmann, M.; Yuan, X.] Deutsch GeoForschungsZentrum GFZ, Potsdam, Germany.
C3 University of Kiel; Free University of Berlin; Helmholtz Association;
   Helmholtz-Center Potsdam GFZ German Research Center for Geosciences
RP Bayer, B (corresponding author), RWE Dea AG, Hamburg, Germany.
EM be.bayer@web.de
TC 11
Z9 13
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0956-540X
EI 1365-246X
PD MAR
PY 2012
VL 188
IS 3
BP 1141
EP 1153
DI 10.1111/j.1365-246X.2011.05304.x
SC Geochemistry & Geophysics
UT WOS:000300567400028
ER

PT J
AU Zhuang, JQ
   Peng, JB
   Iqbal, J
   Liu, TM
   Liu, N
   Li, YZ
   Ma, PH
AF Zhuang, Jianqi
   Peng, Jianbing
   Iqbal, Javed
   Liu, Tieming
   Liu, Na
   Li, Yazhe
   Ma, Penghui
TI Identification of landslide spatial distribution and susceptibility
   assessment in relation to topography in the Xi'an Region, Shaanxi
   Province, China
SO FRONTIERS OF EARTH SCIENCE
DT Article
DE landslide distribution; susceptibility assessment; logistic model; ROC;
   Xi'an
ID EARTHQUAKE-TRIGGERED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE;
   LOGISTIC-REGRESSION; DEBRIS FLOWS; RISK-ASSESSMENT; GIS; HAZARD; MODEL;
   AREA
AB Landslides are among the most serious of geohazards in the Xi'an Region, Shaanxi, China, and are responsible for extensive human and property loss. In order to understand the distribution of landslides and assess their associated hazards in this region, we used a combination of frequency analysis, logistic analysis, and Geographic Information System (GIS) analysis, with consideration of the spatial distribution of landslides. Using the GIS approach, the five key factors of surface topography, including slope gradient, topographic wetness index (TWI), height difference, profile curvature and slope aspect, were considered. First, the distribution and frequency of landslides were considered in relation to all of the five factors in each of three sub-regions susceptible to landslides (Qin Mountain, Li Mountain, and Loess Tableland). Secondly, each factor's influence was determined by a logistic regression method, and the relative importance of each of these independent variables was evaluated. Finally, a landslide susceptibility map was generated using GIS tools. Locations that had recorded landslides were used to validate the results of the landslide susceptibility map and the accuracy obtained was above 84%. The validation proved that there is sufficient agreement between the susceptibility map and existing records of landslide occurrences. The logistic regression model produced acceptable results (the areas under the Receiver Operating Characteristics (ROC) curve were 0.865, 0.841, and 0.924 in the Qin Mountain, Li Mountain and Loess Tableland). We are confident that the results of this study can be useful in preliminary planning for land use, particularly for construction work in high-risk areas.
C1 [Zhuang, Jianqi; Peng, Jianbing; Li, Yazhe; Ma, Penghui] Changan Univ, Sch Geol Engn & Surveying, Key Lab Western China Mineral Resources & Geol En, Xian 710054, Peoples R China.
   [Zhuang, Jianqi; Peng, Jianbing; Liu, Tieming; Liu, Na] Changan Univ, Inst Geohazards Mitigat, Xian 710054, Peoples R China.
   [Iqbal, Javed] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Iqbal, Javed] COMSATS Inst Informat Technol, Dept Earth Sci, Abbottabad, Pakistan.
C3 Chang'an University; Chang'an University; Chinese Academy of Sciences;
   Institute of Geology & Geophysics, CAS; COMSATS University Islamabad
   (CUI)
RP Peng, JB (corresponding author), Changan Univ, Sch Geol Engn & Surveying, Key Lab Western China Mineral Resources & Geol En, Xian 710054, Peoples R China.
EM rockfans09@163.com
TC 21
Z9 24
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 2095-0195
EI 2095-0209
PD SEP
PY 2015
VL 9
IS 3
BP 449
EP 462
DI 10.1007/s11707-014-0474-3
SC Geology
UT WOS:000358333000007
ER

PT J
AU Zhao, C
   Zhao, O
AF Zhao, Cen
   Zhao, John X.
TI S- and P-Wave Spectral Ratios for On-Site Earthquake Early
   Warning in Japan
SO BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
DT Article
ID MOTION PREDICTION EQUATIONS; GROUND-MOTION; WENCHUAN EARTHQUAKE; SHALLOW
   CRUSTAL; MAGNITUDE; PARAMETERS; RECORDS; SYSTEM; TAIWAN; PERIOD
AB Various earthquake early warning (EEW) systems have been used in many countries. For an on-site EEW method, earthquake magnitude and hypocentral distance are estimated from the first 3 s of P waves at the EEW site. Then S-wave parameters, such as peak ground velocity (PGV), are usually computed from a ground-motion prediction equation (GMPE) or a similar prediction model. Each step of the calculations brings in considerable uncertainties. In this study, we use the S- and P-wave response spectral ratio as an EEW parameter. This study aims to develop an on-site EEW model that will bypass the requirement of magnitude, distances, and earthquake tectonic locations under a set of conditions. Two empirical models are derived: one for the response spectral ratios between the first 3 s of S wave (after S-wave arrival time) and the first 3 s of P wave (R-3SP model) and the other model is for the spectral ratios between the full record and the first 3 s of P-wave (R-FP model). The effects of earthquake focal mechanisms are substantially reduced at many spectral periods, and the event tectonic locations are not required at all spectral periods. Both models are reduced to a constant plus a site term when magnitude, depth, and distance are within a given set of ranges; the corresponding ranges of these parameters for the R-3SP model are larger than those for the R-FP model. When magnitude and source distance are required, the effect of their errors on the EEW parameter is reduced significantly from those using a GMPE. Model R-3SP provides a lower bound for model R-FP, and the two models predict very similar S- and P-wave spectral ratios at short periods in the useful magnitude and distance ranges for practical EEW applications. Alarm issue rates for these two models are evaluated.
C1 [Zhao, Cen] Southwest Jiaotong Univ, 111 1st Northern Sect,Erhuan Rd, Chengdu 610031, Sichuan, Peoples R China.
   [Zhao, John X.] Shandong Jianzhu Univ, Lingang Dev Zone, Fengming Rd, Jinan 250101, Shandong, Peoples R China.
C3 Southwest Jiaotong University; Shandong Jianzhu University
RP Zhao, C (corresponding author), Southwest Jiaotong Univ, 111 1st Northern Sect,Erhuan Rd, Chengdu 610031, Sichuan, Peoples R China.
EM J.Zhao@gns.cri.nz
TC 8
Z9 8
PU SEISMOLOGICAL SOC AMER
PI ALBANY
PA 400 EVELYN AVE, SUITE 201, ALBANY, CA 94706-1375 USA
SN 0037-1106
EI 1943-3573
PD FEB
PY 2019
VL 109
IS 1
BP 395
EP 412
DI 10.1785/0120180116
SC Geochemistry & Geophysics
UT WOS:000462137200030
ER

PT J
AU Hu, Y
   Wang, JF
   Li, XH
   Ren, D
   Driskell, L
   Zhu, J
AF Hu, Yi
   Wang, Jinfeng
   Li, Xiaohong
   Ren, Dan
   Driskell, Luke
   Zhu, Jun
TI Exploring geological and socio-demographic factors associated with
   under-five mortality in the Wenchuan earthquake using neural network
   model
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH
DT Article
DE under-five mortality; risk factors; neural network model; Geographic
   Information System (GIS); earthquake
ID MULTIVARIATE; ADVANTAGES; INJURIES; DEATH
AB On 12 May 2008, a devastating earthquake occurred in Sichuan Province, China, taking tens of thousands of lives and destroying the homes of millions of people. Among the large number of dead or missing were children, particularly children aged less than five years old, a fact which drew significant media attention. To obtain relevant information specifically to aid further studies and future preventative measures, a neural network model was proposed to explore some geological and socio-demographic factors associated with earthquake-related child mortality. Sensitivity analysis showed that topographic slope (mean 35.76%), geomorphology (mean 24.18%), earthquake intensity (mean 13.68%), and average income (mean 11%) had great contributions to child mortality. These findings could provide some clues to researchers for further studies and to policy makers in deciding how and where preventive measures and corresponding policies should be implemented in the reconstruction of communities.
C1 [Hu, Yi; Wang, Jinfeng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China.
   [Hu, Yi] China Univ Geosci, Sch Earth & Mineral Resources, Beijing, Peoples R China.
   [Li, Xiaohong; Ren, Dan; Zhu, Jun] Sichuan Univ, Chengdu 610064, Peoples R China.
   [Driskell, Luke] Louisiana State Univ, Dept Geog & Anthropol, Baton Rouge, LA 70803 USA.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; China University of Geosciences; Sichuan
   University; Louisiana State University System; Louisiana State
   University
RP Wang, JF (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China.
EM wangjf@lreis.ac.cn; zhujun028@163.com
TC 1
Z9 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0960-3123
PY 2012
VL 22
IS 2
BP 184
EP 196
DI 10.1080/09603123.2011.613113
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
UT WOS:000304472000008
ER

PT J
AU Liu, M
   Zhang, Y
   Tian, SF
   Chen, NS
   Mahfuzr, R
   Javed, I
AF Liu Mei
   Zhang Yong
   Tian Shu-feng
   Chen Ning-sheng
   Mahfuzr, Rahman
   Javed, Iqbal
TI Effects of loose deposits on debris flow processes in the Aizi Valley,
   southwest China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Aizi Valley; Loose deposits; Debris flow process; Slope debris flow;
   Boulder blockage; Discharge amplification
ID WENCHUAN EARTHQUAKE AREA; SICHUAN PROVINCE; LANDSLIDE DAMS; HAZARD
   PREDICTION; YIELD-STRESS; DISCHARGE; SUSCEPTIBILITY; MECHANISM;
   DROUGHTS; PLATEAU
AB Loose deposits, rainfall and topography are three key factors that triggering debris flows. However, few studies have investigated the effects of loose deposits on the whole debris flow process. On June 28, 2012, a catastrophic debris flow occurred in the Aizi Valley, resulting in 40 deaths. The Aizi Valley is located in the Lower Jinsha River, southwestern Sichuan Province, China. The Aizi Valley debris flow has been selected as a case for addressing loose deposits effects on the whole debris flow process through remote sensing, field investigation and field experiments. Remote sensing interpretation and laboratory experiments were used to obtain the distribution and characteristics of the loose deposits, respectively. A field experiment was conducted to explore the mechanics of slope debris flows, and another field investigation was conducted to obtain the processes of debris flow formation, movement and amplification. The results showed that loose deposits preparation, slope debris flow initiation, gully debris flow confluence and valley debris flow amplification were dominated by the loose deposits. Antecedent droughts and earthquake activities may have increased the potential for loose soil sources in the Aizi Valley, which laid the foundation for debris flow formation. Slope debris flow initiated under rainfall, and the increase in the water content as well as the pore water pressure of the loose deposits were the key factors affecting slope failure. The nine gully debris flows converged in the valley, and the peak discharge was amplified 3.3 times due to a blockage and outburst caused by a large boulder. The results may help in predicting and assessing regional debris flows in dry-hot and seismic-prone areas based on loose deposits, especially considering large boulders.
C1 [Liu Mei; Zhang Yong; Tian Shu-feng; Chen Ning-sheng; Mahfuzr, Rahman; Javed, Iqbal] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
   [Liu Mei; Zhang Yong; Tian Shu-feng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Mahfuzr, Rahman] Int Univ Business Agr & Technol, Dept Civil Engn, Dhaka 1230, Bangladesh.
   [Javed, Iqbal] Univ Haripur, Dept Geol, Haripur 22620, Pakistan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; International University of Business
   Agriculture & Technology (IUBAT)
RP Chen, NS (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
EM lmeimei90@163.com; zhangyongcas@163.com; 05131895@cumt.edu.cn;
   chennsh@imde.ac.cn; mfz.rahman@iubat.edu; javediqbalgeo@gmail.com
TC 25
Z9 31
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JAN
PY 2020
VL 17
IS 1
BP 156
EP 172
DI 10.1007/s11629-019-5388-9
SC Environmental Sciences & Ecology
UT WOS:000512076900012
ER

PT J
AU Siyahghalati, S
   Saraf, AK
   Pradhan, B
   Jebur, MN
   Tehrany, MS
AF Siyahghalati, Sajad
   Saraf, Arun Kumar
   Pradhan, Biswajeet
   Jebur, Mustafa Neamah
   Tehrany, Mahyat Shafapour
TI Rule-based semi-automated approach for the detection of landslides
   induced by 18 September 2011 Sikkim, Himalaya, earthquake using IRS
   LISS3 satellite images
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
ID SUPPORT VECTOR MACHINE; WEIGHTS-OF-EVIDENCE; DECISION TREE; TIME-SERIES;
   LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; ENSEMBLE BIVARIATE; HAZARD
   ASSESSMENT; LAND-COVER; SUSCEPTIBILITY
AB Landslide is considered as one of the most devastating and most costly natural hazards in highlands, which is triggered mainly by rainfalls or earthquakes. In comparison with other methods, landslide mapping and monitoring via remote sensing data products are considered as the least expensive method of data collection. The current research attempts to detect landslides which occurred due to a 6.9 magnitude earthquake in Sikkim Himalaya, India, on 18 September 2011 and also to establish the spatial relationship between landslides and the slope of the terrain. To detect the landslides, decision tree method was applied on two Indian remote sensing satellites linear imaging self-scanning sensor (LISS III) images acquired from 2007 and 2011 which were taken before and after the earthquake. As the study area was relatively huge for identifying the landslides, the region was separated into two parts: tested study area and real study area. The overall accuracy of landslide detection was 76%, and 75% for tested and real study area, respectively. Then, the spatial relationship between the landslides and the slope of the terrain was conducted using the digital elevation model. The results revealed that most of the landslides occurred between the slope of 25 degrees and 45 degrees covering 2.3km(2) and no landslide recorded in the slope of 65 degrees-90 degrees in the real study area. The results obtained in this study may be useful for decision-making and policy support towards reconstruction effort after the landslide occurrence. In addition, the information can be useful for reducing the risk of potential damages to substructures and properties by developing new and efficient strategies.
C1 [Siyahghalati, Sajad; Pradhan, Biswajeet; Jebur, Mustafa Neamah; Tehrany, Mahyat Shafapour] Univ Putra Malaysia, Fac Engn, Geospatial Informat Sci Res Ctr, Dept Civil Engn, Serdang 43400, Selangor, Malaysia.
   [Saraf, Arun Kumar] Indian Inst Technol, Dept Earth Sci, Roorkee 247667, Uttarakhand, India.
C3 Universiti Putra Malaysia; Indian Institute of Technology System (IIT
   System); Indian Institute of Technology (IIT) - Roorkee
RP Pradhan, B (corresponding author), Univ Putra Malaysia, Fac Engn, Geospatial Informat Sci Res Ctr, Dept Civil Engn, Serdang 43400, Selangor, Malaysia.
EM biswajeet@upm.edu.my
TC 21
Z9 21
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PD JAN 2
PY 2016
VL 7
IS 1
BP 326
EP 344
DI 10.1080/19475705.2014.898702
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000367536300020
ER

PT J
AU Li, CR
   Wang, M
   Liu, K
AF Li, Congrong
   Wang, Ming
   Liu, Kai
TI A decadal evolution of landslides and debris flows after the Wenchuan
   earthquake
SO GEOMORPHOLOGY
DT Article
DE Landslides; Debris flows; Precipitation; Hazards evolution
ID TRIGGERED LANDSLIDES; VEGETATION RECOVERY; CHINA; EROSION; AREA;
   TOPOGRAPHY; INVENTORY; HIMALAYA; HAZARDS; REGIONS
AB The 2008 Wenchuan earthquake triggered numerous coseismic landslides. The loose materials were retained on steep terrains and deep gullies as well as in river channels, which increased higher flooding hazard and geohazard (landslides and debris flows) risks in the area. In this paper, between 2008 and 2016 we monitored landslides and debris flows occurred during rainfall, especially the high rainfall amounts in 2013, which caused serious damage to reconstructed villages. The changes over time aids in understanding long-term landscape evolution in the investigated area impacted by major earthquakes as well as in regions with comparable settings. With the aid of a GIS platform combined with field investigations, we continuously tracked the area and movement paths of the loose deposit materials in all the debris flow gullies and coseismic landslides in the study area. And then the spatial and temporal evolutionary patterns of these movements as well as the evolution under different triggering factors were analyzed using the terrain and precipitation information from the past nine years. The results showed that both the area and number of coseismic landslides decreased over time and that the deposited materials moved to areas of lower elevation and lower slope. In addition, the new landslides occurred more easily in areas of low elevation and high slope during periods of normal rainfall. Under the high rainfall, many new landslides and expansion processes occurred easily at high altitudes, providing loose materials for debris flows. Although the overall geoenvironment in the earthquake-stricken area has a recovering tendency, the outburst of hazards triggered by future extreme rainfalls is still expected and this kind of fluctuating cycle may last for an unexpectedly longer period. (C) 2018 Elsevier B.V. All rights reserved.
C1 [Wang, Ming] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
   Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Minist Educ, Beijing 100875, Peoples R China.
C3 Beijing Normal University; Beijing Normal University
RP Wang, M (corresponding author), Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China.
EM wangming@bnu.edu.cn
TC 77
Z9 80
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD DEC 15
PY 2018
VL 323
BP 1
EP 12
DI 10.1016/j.geomorph.2018.09.010
SC Physical Geography; Geology
UT WOS:000449897200001
ER

PT J
AU Xu, ZH
   Wu, LX
   Zhang, ZX
AF Xu, Zhihua
   Wu, Lixin
   Zhang, Zhenxin
TI Use of active learning for earthquake damage mapping from UAV
   photogrammetric point clouds
SO INTERNATIONAL JOURNAL OF REMOTE SENSING
DT Article
ID CLASSIFICATION; FEATURES; COLOR; IMAGERY; AREAS
AB This article presents an effective classification method for earthquake damage mapping from unmanned aerial vehicles (UAV) photogrammetric point clouds. The classification method consists of three main components: (a) construction of a point feature descriptor regarding to spectral, textural, and geometrical features, (b) optimization of collecting informative training samples through an active learning (AL) method, and (c) fine-tuning the point-based classification results with contextual information. Besides using existing spectral and geometrical features, we design a textural feature based on fractal theory to construct a point feature descriptor through linear combination. A batch-model AL method called Margin Sampling and Multiclass Level Uncertainty (MS-MCLU) is proposed based on classification uncertainty using a Support Vector Machine classifier. We use a multi-label Markov random fields to fine-tune the point-based classification results with a pairwise model. The proposed method was tested using three sets of point clouds generated from UAV images over Mirabello, Lushan, and Wenchuan earthquake scenarios in 2012, Italy, and in 2013 and 2008, China, respectively. The proposed classification method was compared with that of two other feature descriptors, i.e. spectral combined with textural features (Spe_Tex) and geometrical features (Geo). The results show that classification accuracies were improved by using the proposed point feature descriptor. Results also show that the proposed MS-MCLU AL method evidently saved the cost of collecting informative training samples and produced higher classification accuracies than a random sampling strategy. Moreover, contextual information contributed to the improvement on the point-based classification results and was suggested to be considered in earthquake damage mapping applications.
C1 [Xu, Zhihua] China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Peoples R China.
   [Wu, Lixin] Cent S Univ, Sch Geosci & Infophys, Changsha 410006, Hunan, Peoples R China.
   [Zhang, Zhenxin] Capital Normal Univ, Adv Innovat Ctr Imaging Technol, Beijing, Peoples R China.
C3 China University of Mining & Technology; Central South University;
   Capital Normal University
RP Wu, LX (corresponding author), Cent S Univ, Sch Geosci & Infophys, Changsha 410006, Hunan, Peoples R China.
EM awulixin@263.net
TC 21
Z9 22
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 0143-1161
EI 1366-5901
PY 2018
VL 39
IS 15-16
SI SI
BP 5568
EP 5595
DI 10.1080/01431161.2018.1466083
SC Remote Sensing; Imaging Science & Photographic Technology
UT WOS:000442288100037
ER

PT J
AU Zhang, Y
   Wang, RJ
   Zschau, J
   Chen, YT
   Parolai, S
   Dahm, T
AF Zhang, Yong
   Wang, Rongjiang
   Zschau, Jochen
   Chen, Yun-tai
   Parolai, Stefano
   Dahm, Torsten
TI Automatic imaging of earthquake rupture processes by iterative
   deconvolution and stacking of high-rate GPS and strong motion
   seismograms
SO JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
DT Article
ID STRONG-GROUND-MOTION; 7.9 WENCHUAN EARTHQUAKE; TOHOKU-OKI EARTHQUAKE;
   1979 IMPERIAL-VALLEY; JOINT INVERSION; SPATIAL-DISTRIBUTION; TELESEISMIC
   BODY; PACIFIC COAST; 1992 LANDERS; FAULT PLANE
AB By combining the complementary advantages of conventional network inversion and backprojection methods, we have developed an iterative deconvolution and stacking (IDS) approach for imaging earthquake rupture processes with near-field complete waveform data. This new approach does not need any manual adjustment of the physical (empirical) constraints, such as restricting the rupture time and duration, and smoothing the spatiotemporal slip distribution. Therefore, it has the ability to image complex multiple ruptures automatically. The advantages of the IDS method over traditional linear or nonlinear optimization algorithms are demonstrated by the case studies of the 2008 Wenchuan and 2011 Tohoku earthquakes. For such large earthquakes, the IDS method is considerably more stable and efficient than previous inversion methods. Additionally, the robustness of this method is demonstrated by comprehensive synthetic tests, indicating its potential contribution to tsunami and earthquake early warning and rapid response systems. It is also shown that the IDS method can be used for teleseismic waveform inversions. For the two major earthquakes discussed here, the IDS method can provide, without tuning any physical or empirical constraints, teleseismic rupture models consistent with those derived from the near-field GPS and strong motion data.
C1 [Zhang, Yong; Chen, Yun-tai] Peking Univ, Sch Earth & Space Sci, Beijing 100871, Peoples R China.
   [Zhang, Yong; Wang, Rongjiang; Zschau, Jochen; Parolai, Stefano; Dahm, Torsten] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Potsdam, Germany.
   [Chen, Yun-tai] China Earthquake Adm, Inst Geophys, Beijing, Peoples R China.
C3 Peking University; Helmholtz Association; Helmholtz-Center Potsdam GFZ
   German Research Center for Geosciences; China Earthquake Administration;
   Institute of Geophysics, CEA
RP Wang, RJ (corresponding author), GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, Potsdam, Germany.
EM wang@gfz-potsdam.de
TC 51
Z9 66
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9313
EI 2169-9356
PD JUL
PY 2014
VL 119
IS 7
BP 5633
EP 5650
DI 10.1002/2013JB010469
SC Geochemistry & Geophysics
UT WOS:000340416500021
ER

PT J
AU Lee, MJ
   Park, I
   Lee, S
AF Lee, Moung-Jin
   Park, Inhye
   Lee, Saro
TI Forecasting and validation of landslide susceptibility using an
   integration of frequency ratio and neuro-fuzzy models: a case study of
   Seorak mountain area in Korea
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Integration; Frequency ratio; Adaptive neuro-fuzzy inference system
   (ANFIS); Landslide; GIS Korea
ID SUPPORT VECTOR MACHINE; LOGISTIC-REGRESSION; INFERENCE SYSTEM; WENCHUAN
   EARTHQUAKE; DECISION-TREE; GIS; AGREEMENT; HAZARD; PROBABILITY; RAINFALL
AB Landslides susceptibility maps were constructed in Seorak mountain area, Korea, using an integration of frequency ratio and adaptive neuro-fuzzy inference system (ANFIS) in geographical information system (GIS) environment. Landslide occurrence areas were detected in the study by interpreting aerial photographs and field survey data. Landslide locations were randomly selected in a 50/50 ratio for training and validation of the models, respectively. Topography, geology, soil, and forest databases were also constructed. Maps relevant to landslide occurrence were assembled in a spatial database. Using the constructed spatial database, 17 landslide-related factors were extracted. The adaptive ANFIS model with different types of membership functions (MFs) was then applied for landslide susceptibility mapping in the study area. Two landslide susceptibility maps were prepared using the different MFs. The frequency ratio model was also applied to the landslide susceptibility mapping for comparing with the probabilistic ANFIS model. Finally, the resulting landslide susceptibility maps were validated using the landslide locations which were not used for training the ANFIS. The validation results showed 75.57 % accuracy using the generalized bell-shaped MF model, 74.94 % accuracy using the Sigmoidal 2 MF model and 73.07 % accuracy using frequency ratio model. These accuracy results show that an ANFIS can be an effective tool in landslide susceptibility mapping.
C1 [Lee, Moung-Jin] Korea Environm Inst, Sejong 339007, South Korea.
   [Park, Inhye] Univ Seoul, Dept Geoinformat, Seoul 130743, South Korea.
   [Lee, Saro] Korea Inst Geosci & Mineral Resources KIGAM, Div Geol Res, Taejon 305350, South Korea.
C3 Korea Environment Institute (KEI); University of Seoul; Korea Institute
   of Geoscience & Mineral Resources (KIGAM)
RP Lee, S (corresponding author), Korea Univ Sci & Technol, 217 Gajeong Ro, Taejon 305350, South Korea.
EM leesaro@kigam.re.kr
TC 51
Z9 54
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD JUL
PY 2015
VL 74
IS 1
BP 413
EP 429
DI 10.1007/s12665-015-4048-9
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000356347800031
ER

PT J
AU Liu, S
   Wei, L
   Hu, KH
AF Liu, Shuang
   Wei, Li
   Hu, Kaiheng
TI Topographical and geological variation of effective rainfall for
   debris-flow occurrence from a large-scale perspective
SO GEOMORPHOLOGY
DT Article
DE Debris flows; Dimensionless effective rainfall; Spatial heterogeneity;
   Topographical and geological impacts
ID SHALLOW LANDSLIDES; WENCHUAN EARTHQUAKE; TRIGGERING RAINFALL; HENGDUAN
   MOUNTAINS; DURATION CONTROL; TEMPORAL TRENDS; THRESHOLDS; INTENSITY;
   IMPACT; HAZARD
AB Understanding the spatial heterogeneity of the debris-flow rainfall threshold is meaningful for regional warning systems. However, regional topographical and geological impacts have not been well quantified. Using the Hengduan Mountains with distinct climatic, topographical, and geological settings as a typical study area, this study focused on the geological and topographical variations of effective rainfall for debris-flow occurrence from a large-scale perspective. Results showed that the probability of debris-flow occurrence was smallest in the cold-arid zone and largest in the humid zone. The mean dimensionless effective rainfall (the ratio of effective rainfall to mean annual precipitation) was about 5.2% for an initial warning and 7.7% for serious warnings. The contributions to the differences are regional climate, geomorphology, and geology, in sequence of importance. The zone with more complex terrain, thicker soil, and higher sand content would be more beneficial to debris-flow formation. Multiple regression analysis suggested that the geologically-related aspects may have a slightly greater effect than topographical factors on effective rainfall. In general, this work could be in favor of other similar regional, national, and even global work for debris-flow early warning. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Liu, Shuang; Wei, Li; Hu, Kaiheng] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Liu, Shuang; Wei, Li; Hu, Kaiheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Wei, Li] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Hu, KH (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM liushuang@imde.ac.cn; weili@imde.ac.cn; khhu@imde.ac.cn
TC 26
Z9 28
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29a, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD JUN 1
PY 2020
VL 358
AR 107134
DI 10.1016/j.geomorph.2020.107134
SC Physical Geography; Geology
UT WOS:000527307400019
ER

PT J
AU Wang, QK
   Xing, AG
   Liao, LB
   Liu, YW
   Zhuang, Y
AF Wang, Qiankuan
   Xing, Aiguo
   Liao, Liangbo
   Liu, Yiwei
   Zhuang, Yu
TI Insights into small landslides inducing major disasters in the Wumeng
   Mountain area from the Liangshui landslide
SO LANDSLIDES
DT Article
DE Liangshui landslide; RAMMS dynamic model; Small landslides inducing
   major disasters; Prolonged low-intensity rainfall (or snowfall)
ID WENCHUAN EARTHQUAKE; ROCK AVALANCHE; SICHUAN PROVINCE; CLIMATE-CHANGE;
   ZHAOTONG; INSAR; SNOW
AB The Wumeng Mountain area in China is highly susceptible to landslides due to tectonic movements, heavy monsoon rains, and human activities. Despite their small size, these landslides can cause significant damage. The 2024 Liangshui landslide, with a volume of about 70,000 m3, resulted in 44 fatalities and marked the third major winter geological disaster in the Zhenxiong range in recent years. Comprehensive research on this landslide is crucial for understanding its triggers and failure mechanisms. Using the Rapid Mass Movement Simulation dynamic model and remote sensing data, we analyzed the dynamic evolution of the Liangshui landslide, following a thorough survey of its characteristics and potential failure mechanisms. Our findings indicate that landslide-prone strata, fractured rock, and steep source areas provided the necessary material and mechanical foundation. Seepage of fracture water after a prolonged precipitation softened the rock mass and decreased slope stability. A sudden drop in temperature and snowfall caused frost heave, leading to the expansion of rock fractures and ultimately triggering the landslide. This research provides insight into how small landslides can induce major disasters in the Wumeng Mountain area, as well as those triggered by prolonged rainy (or snowy) conditions in Zhenxiong County.
C1 [Wang, Qiankuan; Xing, Aiguo; Liu, Yiwei; Zhuang, Yu] Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
   [Liao, Liangbo] Shanghai Huace Nav Technol Ltd, Shanghai 201702, Peoples R China.
C3 Shanghai Jiao Tong University
RP Xing, AG (corresponding author), Shanghai Jiao Tong Univ, State Key Lab Ocean Engn, Shanghai 200240, Peoples R China.
EM xingaiguo@sjtu.edu.cn
TC 5
Z9 5
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD MAR
PY 2025
VL 22
IS 3
SI SI
BP 857
EP 875
DI 10.1007/s10346-024-02414-6
EA DEC 2024
SC Engineering; Geology
UT WOS:001377529200001
ER

PT J
AU Wu, LZ
   Shi, JS
   Xu, Q
AF Wu, L. Z.
   Shi, J. S.
   Xu, Q.
TI The rainfall-induced Wulipo rockslide, China: a modified model for
   rockslide initiation
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Rock slope; Bedding sliding; Storm-induced rockslide; Initiation
   mechanism; Wulipo rockslide
ID ROCK SLOPE; STABILITY
AB During the May 12, 2008 Wenchuan earthquake, rock masses in the earthquake region were shaken, and subsequently, a number of post-earthquake landslides and debris flows occurred, triggered by heavy rainstorms. This paper presents a study of the rainfall-induced mechanism that triggered the landslides. This study is based on preand post-landslide geomorphology and geological features identified from pre-landslide high-resolution satellite imagery and post-landslide aerial photographs of the Wulipo landslide. The remote sensing observations were verified by field investigations. The results indicate that the heavy storm that occurred in July 2013 was the main trigger for the landslide although existing tensions and weak rock interfaces were the main internal causes for reactivation of the landslide. The bedding in the rocks dips in the same direction as the topographic slope. A tensile trough developed at the scarp. Based on data from the Wulipo rockslide, a model is proposed for calculating the safety factor for rockslides that takes into account the hydrostatic pressure along the structural plane of the rockslide. The results show that the proposed method can effectively estimate the stability of a storm-induced rockslide in regions underlain by bedded rocks. Based on this estimate, it is concluded that the Wulipo rockslide is a reactivated old rockslide.
C1 [Wu, L. Z.; Xu, Q.] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm, Chengdu 610059, Sichuan, Peoples R China.
   [Shi, J. S.] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Shi, J. S.] MLR, Key Lab Neotecton Movement & Geohazard, Beijing 100081, Peoples R China.
C3 Chengdu University of Technology; China Geological Survey; Chinese
   Academy of Geological Sciences; Institute of Geomechanics, Chinese
   Academy of Geological Sciences
RP Shi, JS (corresponding author), Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.; Shi, JS (corresponding author), MLR, Key Lab Neotecton Movement & Geohazard, Beijing 100081, Peoples R China.
EM shijusong@126.com
TC 9
Z9 12
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
PD JUL
PY 2017
VL 76
IS 14
AR 497
DI 10.1007/s12665-017-6826-z
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000406241000030
ER

PT J
AU Qi, WW
   Wei, MF
   Yang, WT
   Xu, C
   Ma, C
AF Qi, Wenwen
   Wei, Mengfei
   Yang, Wentao
   Xu, Chong
   Ma, Chao
TI Automatic Mapping of Landslides by the ResU-Net
SO REMOTE SENSING
DT Article
DE regional landslide mapping; remote sensing; deep learning models
ID WENCHUAN EARTHQUAKE; NETWORKS
AB Massive landslides over large regions can be triggered by heavy rainfalls or major seismic events. Mapping regional landslides quickly is important for disaster mitigation. In recent years, deep learning methods have been successfully applied in many fields, including landslide automatic identification. In this work, we proposed a deep learning approach, the ResU-Net, to map regional landslides automatically. This method and a baseline model (U-Net) were collectively tested in Tianshui city, Gansu province, where a heavy rainfall triggered more than 10,000 landslides in July 2013. All models were performed on a 3-band (near infrared, red, and green) GeoEye-1 image with a spatial resolution of 0.5 m. At such a fine spatial resolution, the study area is spatially heterogeneous. The tested study area is 128 km(2), 80% of which was used to train models and the remaining 20% was used to validate accuracy of the models. This proposed ResU-Net achieved higher accuracy than the baseline U-Net model in this mountain region, where F1 improved by 0.09. Compared with the U-Net model, this proposed model (ResU-Net) performs better in discriminating landslides from bare floodplains along river valleys and unplanted terraces. By incorporating environmental information, this ResU-Net may also be applied to other landslide mapping, such as landslide susceptibility and hazard assessment.
C1 [Qi, Wenwen; Xu, Chong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
   [Qi, Wenwen] Beijing Twenty First Century Sci & Technol Dev Co, Beijing 100096, Peoples R China.
   [Wei, Mengfei] Twenty First Century Aerosp Technol Co Ltd, Beijing 100096, Peoples R China.
   [Yang, Wentao; Ma, Chao] Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China.
C3 Beijing Forestry University
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
EM qiww@lreis.ac.cn; mengfei.wei@ia.ac.cn; yang_wentao@bjfu.edu.cn;
   qiww@lreis.ac.cn; machao1986@bjfu.edu.cn
TC 99
Z9 115
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD AUG
PY 2020
VL 12
IS 15
AR 2487
DI 10.3390/rs12152487
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000559562100001
ER

PT J
AU Yin, ZQ
   Chen, L
   Shao, H
   Sun, D
   Qin, XG
   Li, DM
AF Yin, Zhiqiang
   Chen, Liang
   Shao, Hai
   Sun, Dong
   Qin, Xiaoguang
   Li, Dameng
TI Formation mechanisms of large-scale ancient landslides in the Meigu
   River basin, eastern margin of Tibetan plateau
SO QUATERNARY INTERNATIONAL
DT Article
DE Large-scale ancient landslides; Formation mechanisms; Climatic
   fluctuations; Meigu river basin; Tibetan Plateau
ID EARTHQUAKE-INDUCED LANDSLIDES; WENCHUAN EARTHQUAKE; YELLOW-RIVER;
   HOLOCENE; CLASSIFICATION; CHINA
AB As one of the most serious natural hazards, landslides have caused extensive destruction to buildings and natural environments worldwide. However, the formation mechanisms of ancient landslides remain poorly understood due to the lack of detailed landslide inventories and chronological constraints. In this study, we present a systematic investigation of large-scale landslides in the Meigu River Basin (MRB), located on the eastern margin of the Tibetan Plateau in southwest China. Using high-spatiotemporal-resolution remote-sensing imagery, field verification, and a series of radiometric dates, we aim to examine the potential triggers of regional landslide activity. The results show that large-scale ancient landslides were mainly controlled by active faults, folds, joints, and soft interlayers, which rendered rock groups susceptible to movement. The integration of radiocarbon (14C) and optically stimulated luminescence (OSL) dating indicates that the MRB landslides developed during three main periods: the last glacial (66-40 ka), the late Pleistocene to early Holocene (20-9 ka), and the middle to late Holocene (6-0.2 ka). These results suggest a close coupling between large-scale ancient landslide formation and climatic fluctuations. Overall, this study highlights that geological controls and climatic triggers were the two key factors governing large-scale landslide development in the region.
C1 [Yin, Zhiqiang; Shao, Hai] China Geol Survey, Natl Ctr Comprehens Nat Resources Survey, Beijing 100055, Peoples R China.
   [Chen, Liang] Sichuan Inst Comprehens Geol Survey, Chengdu 610081, Peoples R China.
   [Sun, Dong; Li, Dameng] Sichuan Geol Environm Survey & Res Ctr, Chengdu 610081, Peoples R China.
   [Qin, Xiaoguang] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
C3 China Geological Survey; Chinese Academy of Sciences; Institute of
   Geology & Geophysics, CAS
RP Yin, ZQ (corresponding author), China Geol Survey, Natl Ctr Comprehens Nat Resources Survey, Beijing 100055, Peoples R China.
EM yinzhiqiang@mail.cgs.gov.cn
TC 0
Z9 0
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1040-6182
EI 1873-4553
PD JAN 1
PY 2026
VL 751
AR 110045
DI 10.1016/j.quaint.2025.110045
EA NOV 2025
SC Physical Geography; Geology
UT WOS:001617683900001
ER

PT J
AU Zhang, YB
   Chen, GQ
   Zheng, L
   Li, YG
   Wu, J
AF Zhang, Yingbin
   Chen, Guangqi
   Zheng, Lu
   Li, Yange
   Wu, Jian
TI Effects of near-fault seismic loadings on run-out of large-scale
   landslide: A case study
SO ENGINEERING GEOLOGY
DT Article
DE Earthquake-induced landslide; Daguangbao landslide; Seismic force;
   Run-out analysis; Size effect
ID DISCONTINUOUS DEFORMATION ANALYSIS; SAINT VENANT EQUATIONS; ERH-SHAN
   LANDSLIDE; STABILITY ANALYSIS; EARTHQUAKE; ROCK; SLOPE; DISPLACEMENT;
   MOTION; MODEL
AB This study presents the run-out analysis of the Daguangbao landslides subjected to near-fault multi-direction earthquake forces using discontinuous deformation analysis (DDA). The Daguangbao landslide is the largest landslide induced by the 2008 Wenchuan earthquake. In order to investigate the effects of near-fault seismic force on landslide run-out, kinematic behavior of sliding mass is simulated by a dynamic discrete numerical analysis method called DDA. In this simulation, based on the shape of failure surface and the feature of slope geology, the whole slope is divided into three parts: base block, upper sliding mass, and lower sliding mass. Then two sliding masses are divided into the smaller discrete deformable blocks based on pre-existing discontinuities. Size effect of the huge landslide is also considered. Baseline corrected real horizontal and vertical ground motions are taken as volume force acting to the base block. The results show that seismic force has a significant influence on the landslide progression, sliding distance, and shape of post-failure. Results of the horizontal-and-vertical situation are in good agreement with those obtained from post-earthquake field investigation, remote sensing image and description from the survivors. (C) 2013 Elsevier B.V. All rights reserved.
C1 [Zhang, Yingbin; Chen, Guangqi; Zheng, Lu; Li, Yange; Wu, Jian] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 8190395, Japan.
C3 Kyushu University
RP Zhang, YB (corresponding author), Geodisaster Prevent Lab, Nishi Ku, West 2-1110,744 Motooka, Fukuoka 8190395, Japan.
EM yingbinz719@126.com
TC 165
Z9 193
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD NOV 8
PY 2013
VL 166
BP 216
EP 236
DI 10.1016/j.enggeo.2013.08.002
SC Engineering; Geology
UT WOS:000327804700020
ER

PT J
AU Hong, HY
   Pradhan, B
   Bui, DT
   Xu, C
   Youssef, AM
   Chen, W
AF Hong, Haoyuan
   Pradhan, Biswajeet
   Dieu Tien Bui
   Xu, Chong
   Youssef, Ahmed M.
   Chen, Wei
TI Comparison of four kernel functions used in support vector machines for
   landslide susceptibility mapping: a case study at Suichuan area (China)
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Support vector machines; GIS; landslide; remote sensing; Suichuan; China
ID 3 GORGES RESERVOIR; ANALYTICAL HIERARCHY PROCESS; BELIEF FUNCTION MODEL;
   WEIGHTS-OF-EVIDENCE; LOGISTIC-REGRESSION; CONDITIONAL-PROBABILITY;
   SPATIAL-DISTRIBUTION; WENCHUAN EARTHQUAKE; SEDIMENT DISCHARGE; FREQUENCY
   RATIO
AB Suichuan is a mountainous area at the Jiangxi province in Central China, where rainfall-induced landslides occur frequently. The purpose of this study is to assess landslide susceptibility of this region using support vector machine (SVM) with four kernel functions: polynomial (PL), radial basis function (RBF), sigmoid (SIG), and linear (LN). A total of 178 landslides were used to accomplish this approach, of which, 125 (70%) landslides were randomly selected for training the landslide susceptibility models, whereas the remaining 53 (30%) were used for the model validation. Fifteen landslide conditioning factors were considered including slopeangle, altitude, slope-aspect, topographic wetness index (TWI), sediment transport index (STI), stream power index (SPI), plan curvature, profile curvature, distance to rivers, distance to faults, distance to roads, precipitation, landuse, normalized difference vegetation index (NDVI), and lithology. Using the training dataset, nine landslide susceptibility models for the Suichuan area were constructed with the four kernel functions. To evaluate the performance of these models, the receiver-operating characteristic curve (ROC) and area under the curve (AUC) were used. Using the training dataset, AUC values for the SVM-PL models with six degrees PL function (1-6) are 0.715, 0.801, 0.856, 0.891, 0.919, 0.953, respectively, and for the SVM-RBF model, the SVM-SIG model, and the SVM-LN model are 0.716, 0.741, and 0.740, respectively. Using the validation dataset, AUC values for the SVM-PL models with six degrees PL function (1-6) are 0.738, 0.730, 0.683, 0.648, 0.608, and 0.598, respectively, and for the SVM-RBF model, the SVM-SIG model, and the SVM-LN model are 0.716, 0.741, and 0.740, respectively. Our results suggested that the SVM-RBF model is the most suitable for landslide susceptibility assessment for the study area.
C1 [Hong, Haoyuan; Xu, Chong] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing, Peoples R China.
   [Hong, Haoyuan] Jiangxi Meteorol Bur, Jiangxi Prov Meteorol Observ, Nanchang, Jiangxi, Peoples R China.
   [Pradhan, Biswajeet] Univ Putra Malaysia, Fac Engn, GISRC, Dept Civil Engn, Selangor Darul Ehsan, Malaysia.
   [Pradhan, Biswajeet] Sejong Univ, Dept Energy & Mineral Resources Engn, Seoul, South Korea.
   [Dieu Tien Bui] Univ Coll Southeast Norway, Dept Business Adm & Comp Sci, Geog Informat Syst Grp, Bo I Telemark, Norway.
   [Youssef, Ahmed M.] Sohag Univ, Fac Sci, Dept Geol, Sohag, Egypt.
   [Chen, Wei] Xian Univ Sci & Technol, Coll Geol & Environm, Xian, Shaanxi, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Meteorological Administration; Jiangxi Meteorological Service, China
   Meteorological Administration; Universiti Putra Malaysia; Sejong
   University; University of South-Eastern Norway; Egyptian Knowledge Bank
   (EKB); Sohag University; Xi'an University of Science & Technology
RP Chen, W (corresponding author), Xian Univ Sci & Technol, Coll Geol & Environm, Xian, Shaanxi, Peoples R China.
EM chenwei.0930@163.com
TC 101
Z9 109
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PY 2017
VL 8
IS 2
BP 544
EP 569
DI 10.1080/19475705.2016.1250112
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000418899200024
ER

PT J
AU Chen, P
   Feng, Z
   Mannan, A
   Chen, S
   Ullah, T
AF Chen, P.
   Feng, Z.
   Mannan, A.
   Chen, S.
   Ullah, T.
TI ASSESSMENT OF SOIL LOSS FROM LAND USE/LAND COVER CHANGE AND DISASTERS IN
   THE LONGMEN SHAN MOUNTAINS, CHINA
SO APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH
DT Article
DE soil erosion; revised universal soil loss equation; Landsat;
   geo-hazards; ecosystem
ID LOESS PLATEAU; EROSION RISK; RUSLE MODEL; WATER; IMPACT; EARTHQUAKE;
   REDUCTION; GIS
AB Soil erosion is the main cause of the decline in global available land resources, and China is one of the countries suffering from severe soil erosion. In this paper, the RUSLE model and GIS were used to assess the changes in soil erosion in different ecosystems and counties. The results showed that from 2005 to 2017, the highest rate of ecosystem change was in the other ecosystems category, with an increase in mean soil loss to 4.06 t.ha(-1).year(-1). For the counties, the highest soil erosion was recorded in Maoxian County during the study period, because Maoxian County was one of the severely affected counties in the Wenchuan Earthquake. The mean soil loss in Yingjing was relatively small, as the estimates for 2005 and 2017 were 0.08 t.ha(-1).year(-1) and 0.09 t.ha(-1).year(-1), respectively. The areas with severe soil loss are along rivers, mainly distributed along the Minjiang and Tuojiang River basins and their tributaries. The findings of our study will be helpful for identifying high-risk zones, and developing policies to minimize human, environmental and economic losses in any disastrous event.
C1 [Chen, P.; Feng, Z.; Mannan, A.; Chen, S.] Beijing Forestry Univ, Beijing Key Lab Precis Forestry, Beijing 100083, Peoples R China.
   [Ullah, T.] Beijing Forestry Univ, Sch Nat Conservat, Beijing 100083, Peoples R China.
C3 Beijing Forestry University; Beijing Forestry University
RP Feng, Z (corresponding author), Beijing Forestry Univ, Beijing Key Lab Precis Forestry, Beijing 100083, Peoples R China.
EM fengzhongke@126.com
TC 13
Z9 14
PU CORVINUS UNIV BUDAPEST
PI BUDAPEST
PA VILLANYI UT 29/43, BUDAPEST, H-1118, HUNGARY
SN 1589-1623
EI 1785-0037
PY 2019
VL 17
IS 5
BP 11233
EP 11247
DI 10.15666/aeer/1705_1123311247
SC Environmental Sciences & Ecology
UT WOS:000490563900065
ER

PT J
AU Zhao, B
   Li, WL
   Wang, YS
   Lu, JY
   Li, X
AF Zhao, Bo
   Li, Weile
   Wang, Yunsheng
   Lu, Jiayan
   Li, Xiang
TI Landslides triggered by the Ms 6.9 Nyingchi earthquake, China (18
   November 2017): analysis of the spatial distribution and occurrence
   factors
SO LANDSLIDES
DT Article
DE Nyingchi Ms 6; 9 earthquake; Landslides; Spatial distribution; Tibet
   China
ID WENCHUAN EARTHQUAKE; TIBET; SUSCEPTIBILITY; AFTERSHOCKS; SICHUAN; LUSHAN
AB On 18 November 2017, a magnitude Ms. 6.9 (Mw 6.4) earthquake struck Nyingchi, Tibet Autonomous Region, China, which is located in the famous Grand Canyon region of the Yarlung Zangbo River in the eastern Himalayas, Tibet. The Nyingchi event was a thrusting event, with a focal depth of 12km at 29.87 degrees N and 95.02 degrees E. According to emergency investigations and remote sensing, the Nyingchi event triggered at least 1820 co-seismic landslides. The landslides mainly occurred in the Grand Canyon region within an area of 527km(2) (the inner area of Namcha Barwa tectonic node). The landslide distribution characterises an obvious hanging wall effect and is classified as small concentration region and large landslide distribution area. The failure patterns mainly consist of rock falls, rock avalanches, and deposit failures. One co-seismic landslide partially blocked the Yarlung Zangbo River, and the barrier lake remained. Different influencing factors, such as the seismic fault, river, slope aspect, slope angle, rocks, and elevation, have different influences on landslide occurrences, and the co-seismic landslides in the hanging wall area and footwall area present obviously different characteristics. Additionally, the post-earthquake effect impacted the recent Sedongpu landslide.
C1 [Zhao, Bo; Li, Weile; Wang, Yunsheng; Lu, Jiayan; Li, Xiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
C3 Chengdu University of Technology
RP Wang, YS (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM wangys60@163.com
TC 75
Z9 80
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD APR
PY 2019
VL 16
IS 4
BP 765
EP 776
DI 10.1007/s10346-019-01146-2
SC Engineering; Geology
UT WOS:000463099000008
ER

PT J
AU Xu, C
   Xu, XW
   Dai, FC
   Saraf, AK
AF Xu, Chong
   Xu, Xiwei
   Dai, Fuchu
   Saraf, Arun K.
TI Comparison of different models for susceptibility mapping of earthquake
   triggered landslides related with the 2008 Wenchuan earthquake in China
SO COMPUTERS & GEOSCIENCES
DT Article
DE Earthquake triggered landslides; Landslide susceptibility mapping;
   Bivariate statistics; Logistic regression; Artificial neural networks;
   Support vector machine
ID ARTIFICIAL NEURAL-NETWORKS; LOGISTIC-REGRESSION;
   CONDITIONAL-PROBABILITY; BIVARIATE STATISTICS; SAMPLING STRATEGIES;
   PREDICTION MODELS; GIS; ZONATION; TURKEY; KOYULHISAR
AB The main purpose of this study is to compare the following six GIS-based models for susceptibility mapping of earthquake triggered landslides: bivariate statistics (BS), logistic regression (LR), artificial neural networks (ANN), and three types of support vector machine (SVM) models that use the three different kernel functions linear, polynomial, and radial basis. The models are applied in a tributary watershed of the Fu River, a tributary of the Jialing River, which is part of the area of China affected by the May 12, 2008 Wenchuan earthquake. For this purpose, eleven thematic data layers are used: landslide inventory, slope angle, aspect, elevation, curvature, distance from drainages, topographic wetness index (TWI), distance from main roads, distance from surface rupture, peak ground acceleration (PGA), and lithology. The data layers were specifically constructed for analysis in this study. In the subsequent stage of the study, susceptibility maps were produced using the six models and the same input for each one. The validations of the resulting susceptibility maps were performed and compared by means of two values of area under curve (AUC) that represent the respective success rates and prediction rates. The AUC values obtained from all six results showed that the LR model provides the highest success rate (AUC = 80.34) and the highest prediction rate (AUC = 80.27). The SVM (radial basis function) model generates the second-highest success rate (AUC = 80.302) and the second-highest prediction rate (AUC = 80.151), which are close to the value from the LR model. The results using the SVM (linear) model show the lowest AUC values. The AUC values from the SVM (linear) model are only 72.52 (success rates) and 72.533 (prediction rates). Furthermore, the results also show that the radial basis function is the most appropriate kernel function of the three kernel functions applied using the SVM model for susceptibility mapping of earthquake triggered landslides in the study area. The paper also provides a counter-example for the widely held notion that validation performances of the results from application of the models obtained from soft computing techniques (such as ANN and SVM) are higher than those from applications of LR and BA models. (C) 2012 Elsevier Ltd. All rights reserved.
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Dai, Fuchu] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Saraf, Arun K.] Indian Inst Technol Roorkee, Dept Earth Sci, Roorkee 247667, Uttar Pradesh, India.
C3 China Earthquake Administration; Institute of Geology, CEA; Chinese
   Academy of Sciences; Institute of Geology & Geophysics, CAS; Indian
   Institute of Technology System (IIT System); Indian Institute of
   Technology (IIT) - Roorkee
RP Xu, XW (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xiweixu@vip.sina.com
TC 189
Z9 244
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0098-3004
EI 1873-7803
PD SEP
PY 2012
VL 46
BP 317
EP 329
DI 10.1016/j.cageo.2012.01.002
SC Computer Science; Geology
UT WOS:000307924200036
ER

PT J
AU Hu, Y
   Wang, JF
   Zhu, J
   Ren, D
AF Hu, Yi
   Wang, Jinfeng
   Zhu, Jun
   Ren, Dan
TI Mapping under-five mortality in the Wenchuan earthquake using
   hierarchical Bayesian modeling
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH
DT Article
DE under-five mortality rate; Hierarchical Bayesian (HB) model; Geographic
   Information System (GIS); smoothing; earthquake
ID EMPIRICAL BAYES
AB More than two years after the 2008 earthquake in Wenchuan, China, the total number of lives lost remains unclear, particularly for children under five years old. Mortality for this age group can be estimated using a variety of techniques, but sample proportion estimates may be unreliable in areas with low populations of children under five. To address this problem, we propose a hierarchical Bayesian model to map the distribution of under-five mortality in Wenchuan at the township scale. This model is based on conditional distributions for data conditioned on a spatial process and parameters to capture uncertainties usually identified as either spatially-correlated effects or heterogeneity effects. The method was adapted to obtain reliable estimates of the under-five mortality rate in townships with low under-five populations. The approach was compared to other models and, despite some limitations, was found to outperform other methods in its smoothing effect as well as in exploration of other aspects of spatial patterns.
C1 [Hu, Yi; Wang, Jinfeng] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.
   [Hu, Yi] China Univ Geosci, Sch Earth & Mineral Resource, Beijing, Peoples R China.
   [Zhu, Jun; Ren, Dan] Sichuan Univ, Natl Off Maternal & Child Hlth Surveillance, W China Hosp 2, Chengdu 610064, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; China University of Geosciences; Sichuan
   University
RP Wang, JF (corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.
EM wangjf@lreis.ac.cn; zhujun028@163.com
TC 2
Z9 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
SN 0960-3123
PY 2011
VL 21
IS 5
BP 364
EP 371
DI 10.1080/09603123.2011.560250
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
UT WOS:000299646600004
ER

PT J
AU Pokharel, B
   Althuwaynee, OF
   Aydda, A
   Kim, SW
   Lim, S
   Park, HJ
AF Pokharel, Badal
   Althuwaynee, Omar F.
   Aydda, Ali
   Kim, Sang-Wan
   Lim, Samsung
   Park, Hyuck-Jin
TI Spatial clustering and modelling for landslide susceptibility mapping in
   the north of the Kathmandu Valley, Nepal
SO LANDSLIDES
DT Article
DE Landslides; Unsupervised clustering; Spatial patterns; Logistic
   regression; Parametric analysis
ID ANALYTICAL HIERARCHY PROCESS; 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR
   MACHINE; LOGISTIC-REGRESSION; GORKHA EARTHQUAKE; DECISION TREE; GIS;
   PREDICTION; HAZARD; CLASSIFICATION
AB In this article, we propose and test alternative sampling strategies based on clustering distribution concepts to increase the efficiency of the landslide susceptibility model outcomes, instead of common random selection method for training and testing samples. To that end, we prepared a comprehensive landslide inventory and used six unsupervised clustering algorithms (K-means, K-medoids, hierarchical cluster (HC) analysis, expectation-maximization using Gaussian mixture models (EM/GMM), affinity propagation, and mini batch K-means) to generate six different training datasets. After getting the cluster pattern in each technique, we classified it into 70% and 30% for training and testing samples, respectively. We generated an additional training dataset using random selection procedure to test the hypothesis. The EM/GMM model exhibited the highest accuracy than the other methods. The findings confirm the hypothesis and recommend investing in natural distribution of landslides incident, as training concepts, instead of random sampling.
C1 [Pokharel, Badal; Lim, Samsung] Univ New South Wales, Sch Civil & Environm Engn, Sydney, NSW, Australia.
   [Althuwaynee, Omar F.; Kim, Sang-Wan; Park, Hyuck-Jin] Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neudong RoGwangjin Gu, Seoul 05006, South Korea.
   [Aydda, Ali] Ibn Zohr Univ, Dept Geol, Fac Sci, BP 8106, Agadir 80000, Morocco.
C3 University of New South Wales Sydney; Sejong University; Ibn Zohr
   University of Agadir
RP Althuwaynee, OF; Kim, SW (corresponding author), Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neudong RoGwangjin Gu, Seoul 05006, South Korea.
EM omar.faisel@gmail.com; swkim@sejong.edu
TC 34
Z9 39
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD APR
PY 2021
VL 18
IS 4
BP 1403
EP 1419
DI 10.1007/s10346-020-01558-5
EA NOV 2020
SC Engineering; Geology
UT WOS:000584378700001
ER

PT J
AU Fan, XM
   Scaringi, G
   Xu, Q
   Zhan, WW
   Dai, LX
   Li, YS
   Pei, XJ
   Yang, Q
   Huang, RQ
AF Fan, Xuanmei
   Scaringi, Gianvito
   Xu, Qiang
   Zhan, Weiwei
   Dai, Lanxin
   Li, Yusheng
   Pei, Xiangjun
   Yang, Qin
   Huang, Runqiu
TI Coseismic landslides triggered by the 8th August 2017
   Ms 7.0 Jiuzhaigou earthquake (Sichuan, China): factors
   controlling their spatial distribution and implications for the
   seismogenic blind fault identification
SO LANDSLIDES
DT Article
DE Coseismic landslides; Jiuzhaigou earthquake; Seismogenic fault;
   Landslide inventory; Landslide; spatial distribution
ID 2008 WENCHUAN EARTHQUAKE; DISTRIBUTION PATTERN; LUSHAN EARTHQUAKE; MASS
   MOVEMENTS; RUPTURE; HAZARDS; EROSION; HAITI; ZONE
AB On 8th August 2017, a magnitude M-s 7.0 earthquake struck the County of Jiuzhaigou, in Sichuan Province, China. It was the third M-s >= 7.0 earthquake in the Longmenshan area in the last decade, after the 2008 M-s 8.0 Wenchuan earthquake and the 2013 M-s 7.0 Lushan earthquake. The event did not produce any evident surface rupture but triggered significant mass wasting. Based on a large set of pre- and post-earthquake high-resolution satellite images (SPOT-5, Gaofen-1 and Gaofen-2) as well as on 0.2-m-resolution UAV photographs, a polygon-based interpretation of the coseismic landslides was carried out. In total, 1883 landslides were identified, covering an area of 8.11 km(2), with an estimated total volume in the order of 25-30 x 10(6) m(3). The total landslide area was lower than that produced by other earthquakes of similar magnitude with strike-slip motion, possibly because of the limited surface rupture. The spatial distribution of the landslides was correlated statistically to a number of seismic, terrain and geological factors, to evaluate the landslide susceptibility at regional scale and to identify the most typical characteristics of the coseismic failures. The landslides, mainly small-scale rockfalls and rock/debris slides, occurred mostly along two NE-SW-oriented valleys near the epicentre. Comparatively, high landslide density was found at locations where the landform evolves from upper, broad valleys to lower, deep-cut gorges. The spatial distribution of the coseismic landslides did not seem correlated to the location of any known active faults. On the contrary, it revealed that a previously-unknown blind fault segment-which is possibly the north-western extension of the Huya fault-is the plausible seismogenic fault. This finding is consistent with what hypothesised on the basis of field observations and ground displacements.
C1 [Fan, Xuanmei; Scaringi, Gianvito; Xu, Qiang; Zhan, Weiwei; Dai, Lanxin; Li, Yusheng; Pei, Xiangjun; Yang, Qin; Huang, Runqiu] Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
   [Zhan, Weiwei] Clemson Univ, Glenn Dept Civil Engn, Clemson, SC 29634 USA.
C3 Chengdu University of Technology; Clemson University
RP Fan, XM; Xu, Q (corresponding author), Chengdu Univ Technol, State Key Lab Geohazards Prevent & Geoenvironm Pr, Chengdu 610059, Sichuan, Peoples R China.
EM fxm_cdut@qq.com; xuqiang_68@126.com
TC 229
Z9 266
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD MAY
PY 2018
VL 15
IS 5
BP 967
EP 983
DI 10.1007/s10346-018-0960-x
SC Engineering; Geology
UT WOS:000431308800010
ER

PT J
AU He, N
   Fu, QX
   Zhong, W
   Yang, ZQ
   Cai, XQ
   Xu, LJ
AF He, Na
   Fu, Qixuan
   Zhong, Wei
   Yang, Zhiquan
   Cai, XianQing
   Xu, Linjuan
TI Analysis of the formation mechanism of debris flows after earthquakes -
   A case study of the Legugou debris flow
SO FRONTIERS IN ECOLOGY AND EVOLUTION
DT Article
DE debris flows; formation mechanism; earthquakes; grey correlation method;
   frequency method; human activities; artificial intelligence
ID EARLY WARNING SYSTEM; WENCHUAN EARTHQUAKE; SEISMIC RESPONSE; LANDSLIDE;
   RAINFALL; SICHUAN
AB By means of the Graphic Method, Gray Correlation Method and Frequency Method, the total amount of loose solid materials, the amount of loose solid materials per unit area in the source area, and the risk degree and critical rainfall of the study area are determined, respectively. On the basis of the calculation results, the total amount of loose solid materials is 57.2 x 10(4) m(3), the amount of loose solid materials per unit area is 0.13 m(3)/m(2) (greater than 0.1 m(3)/m(2)), which better meets the initiation conditions for dilute debris flow. The Hazard Evaluation Model of Debris Flow in earthquake areas is established by the gray correlation method and the hazard index H = 0.725 is determined. According to the hazard classification standards for debris flows in earthquake areas, the debris flow in Lecugou was moderate after the earthquake. The critical rainfall value of 1H, calculated by the frequency method, ranged from 17.45 to 22.21 mm (R-e = 25 mm) and 8.17 to 13.01 mm (R-e = 50 mm). The critical rainfall value at 10 min ranged from 6.23 to 8.44 mm (R-e = 25 mm) and 2.92 to 5.13 mm (R-e = 50 mm), respectively. The maximum rainfall intensity of 45.5 mm/h was reached between 10:00 and 11:00 on July 29, 2019 and the cumulative rainfall reached 144 mm, far exceeding the critical rainfall of Legugou. Under the influence of earthquakes and human activities, the loose solid source amount and loose solid source amount per unit area increased greatly, and the critical rainfall for debris flow after earthquakes decreased sharply, which induced debris flows under the influence of heavy rainfall. This research will be helpful for the establishment of monitoring and early warning systems based on artificial intelligence methods, and can greatly improve the effectiveness of disaster prevention and mitigation.
C1 [He, Na; Fu, Qixuan] Henan Polytech Univ, Sch Civil Engn, Jiaozuo, Henan, Peoples R China.
   [He, Na] GongQing Inst Sci & Technol, Gongqingchengshi, Jiangxi, Peoples R China.
   [He, Na] China Three Gorges Univ, Hubei Key Lab Disaster Prevent & Mitigat, Yichang, Hubei, Peoples R China.
   [Fu, Qixuan; Zhong, Wei] Chinese Acad Sci & Minist Water Resources, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R China.
   [Yang, Zhiquan] Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Yunnan, Peoples R China.
   [Yang, Zhiquan] Kunming Univ Sci & Technol, Key Lab Geol Disaster Risk Prevent & Control & Eme, Minist Emergency Management Peoples Republ China, Kunming, Yunnan, Peoples R China.
   [Yang, Zhiquan] Kunming Univ Sci & Technol, Key Lab Early Rapid Identificat Prevent & Control, Kunming, Yunnan, Peoples R China.
   [Cai, XianQing] Sichuan Commun Surveying & Design Inst Co Ltd, Chengdu, Sichuan, Peoples R China.
   [Xu, Linjuan] Yellow River Inst Hydraul Res YRCC, MWR, Key Lab Lower Yellow River Channel & Estuary Regul, Zhengzhou, Peoples R China.
C3 Henan Polytechnic University; China Three Gorges University; Chinese
   Academy of Sciences; Institute of Mountain Hazards & Environment, CAS;
   Ministry of Water Resources; Kunming University of Science & Technology;
   Kunming University of Science & Technology; Kunming University of
   Science & Technology; Chinese Academy of Sciences
RP Zhong, W (corresponding author), Chinese Acad Sci & Minist Water Resources, Inst Mt Hazards & Environm, Chengdu, Sichuan, Peoples R China.; Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Yunnan, Peoples R China.; Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Key Lab Geol Disaster Risk Prevent & Control & Eme, Minist Emergency Management Peoples Republ China, Kunming, Yunnan, Peoples R China.; Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Key Lab Early Rapid Identificat Prevent & Control, Kunming, Yunnan, Peoples R China.
EM zhongwei@imde.ac.cn; yzq1983816@kust.edu.cn
TC 7
Z9 8
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-701X
PD OCT 28
PY 2022
VL 10
AR 1053687
DI 10.3389/fevo.2022.1053687
SC Environmental Sciences & Ecology
UT WOS:000883671300001
ER

PT J
AU Zhao, C
   Zhao, JX
AF Zhao, Cen
   Zhao, John X.
TI On-Site Earthquake Early Warning Model for Selected Records in the
   NGA-West2 Dataset Using S- and P-Wave Spectral Ratios
SO BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
DT Article
ID MOTION PREDICTION EQUATIONS; GROUND-MOTION; VERTICAL-COMPONENT; SHALLOW
   CRUSTAL; WENCHUAN EARTHQUAKE; MAGNITUDE; SYSTEM; JAPAN; PARAMETERS;
   TAIWAN
AB On-site earthquake early warning (EEW) requires the best estimates of earthquake magnitude and distance parameters within a few seconds after the P- wave arrival for estimating the subsequent S- wave parameters. The errors in the estimates of the earthquake P- wave parameters will propagate into the estimates of the S- wave parameters. To solve this problem, we used the methodology by Zhao and Zhao (2019), which uses the spectral ratio R 3P between the response spectral values of the first 3 s of the S wave and that of the first 3 s of the P wave, referred to as the R3P model. The modeling presented here was based on strong-motion records from the Next Generation Attenuation (NGA)-West2 dataset. We also used the spectral ratio R FP between the response spectral values from the full records from the S- wave arrival time to the end of the record and that of the first 3 s P wave to develop a second EEW model (the RFP model). An advantage of these two models is that the magnitude and hypocentral distance are not required in considerable magnitude and distance ranges. This means that the errors in the estimated source and path parameters from the first 3 s of the P wave will not affect the model predictions. A theoretical justification for these results is that the magnitude and the distance scaling rates for the first 3 s of the P wave are similar to those of the first 3 s of the S wave. This may also apply to the full S- wave window within useful EEW magnitude and distance ranges. We also found that when the estimated magnitude and distance for a record are necessary, the effect of the corresponding errors would be smaller than using a ground-motion prediction equation (GMPE), because the magnitude and distance scaling rates from this study are smaller than those of many GMPEs.
C1 [Zhao, Cen] Southwest Petr Univ, Chengdu, Sichuan, Peoples R China.
   [Zhao, John X.] Shandong Jianzhu Univ, Key Lab Bldg Struct Retrofitting & Underground Spa, Minist Educ, Jinan, Peoples R China.
C3 Southwest Petroleum University; Shandong Jianzhu University
RP Zhao, JX (corresponding author), Shandong Jianzhu Univ, Key Lab Bldg Struct Retrofitting & Underground Spa, Minist Educ, Jinan, Peoples R China.
EM johnzhao1000@126.com
TC 0
Z9 0
PU SEISMOLOGICAL SOC AMER
PI ALBANY
PA 400 EVELYN AVE, SUITE 201, ALBANY, CA 94706-1375 USA
SN 0037-1106
EI 1943-3573
PD OCT
PY 2024
VL 114
IS 5
BP 2576
EP 2590
DI 10.1785/0120220257
SC Geochemistry & Geophysics
UT WOS:001338276900003
ER

PT J
AU Shrestha, S
   Kang, TS
   Suwal, MK
AF Shrestha, Suchita
   Kang, Tae-Seob
   Suwal, Madan Krishna
TI An Ensemble Model for Co-Seismic Landslide Susceptibility Using GIS and
   Random Forest Method
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE co-seismic landslide susceptibility; ensemble model; GIS; random forest
   method
ID EARTHQUAKE-INDUCED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE; FREQUENCY
   RATIO; LOGISTIC-REGRESSION; SPATIAL PREDICTION; BIVARIATE; ZONATION;
   WEIGHTS; HAZARDS; PRODUCE
AB The Mw 7.8 Gorkha earthquake of 25 April 2015 triggered thousands of landslides in the central part of the Nepal Himalayas. The main goal of this study was to generate an ensemble-based map of co-seismic landslide susceptibility in Sindhupalchowk District using model comparison and combination strands. A total of 2194 co-seismic landslides were identified and were randomly split into 1536 (similar to 70%), to train data for establishing the model, and the remaining 658 (similar to 30%) for the validation of the model. Frequency ratio, evidential belief function, and weight of evidence methods were applied and compared using 11 different causative factors (peak ground acceleration, epicenter proximity, fault proximity, geology, elevation, slope, plan curvature, internal relief, drainage proximity, stream power index, and topographic wetness index) to prepare the landslide susceptibility map. An ensemble of random forest was then used to overcome the various prediction limitations of the individual models. The success rates and prediction capabilities were critically compared using the area under the curve (AUC) of the receiver operating characteristic curve (ROC). By synthesizing the results of the various models into a single score, the ensemble model improved accuracy and provided considerably more realistic prediction capacities (91%) than the frequency ratio (81.2%), evidential belief function (83.5%) methods, and weight of evidence (80.1%).
C1 [Shrestha, Suchita; Kang, Tae-Seob] Pukyong Natl Univ, Div Earth Environm Syst Sci, 45 Yongso Ro, Busan 48513, South Korea.
   [Suwal, Madan Krishna] Univ Bergen, Dept Geog, Fosswinckelsgt 6, N-5020 Bergen, Norway.
C3 Pukyong National University; University of Bergen
RP Kang, TS (corresponding author), Pukyong Natl Univ, Div Earth Environm Syst Sci, 45 Yongso Ro, Busan 48513, South Korea.
EM suchitashrestha@gmail.com; tskang@pknu.ac.kr; madanksuwal@gmail.com
TC 26
Z9 29
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD NOV
PY 2017
VL 6
IS 11
AR 365
DI 10.3390/ijgi6110365
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000416779300046
ER

PT J
AU Zhou, RC
   He, K
   Hu, XW
   Cao, XC
   Xi, CJ
   Zhou, YH
   Gong, XQ
   Deng, L
AF Zhou, Ruichen
   He, Kun
   Hu, Xiewen
   Cao, Xichao
   Xi, Chuanjie
   Zhou, Yonghao
   Gong, Xueqiang
   Deng, Lin
TI Multi-temporal landslide inventory mapping after wildfire and
   implications for post-fire debris flow activity
SO ENGINEERING GEOLOGY
DT Article
DE Wildfire; Debris flow activity; Landslide; Spatiotemporal evolution;
   Remote sensing
ID OREGON COAST RANGE; VEGETATION RECOVERY; WENCHUAN EARTHQUAKE; SEDIMENT;
   FIRE; RAINFALL; EROSION; RUNOFF; CLASSIFICATION; INITIATION
AB Severe wildfires can alter vegetation and soil-hydraulic properties, increasing the likelihood of debris flows and landslides during post-fire rainstorms. However, the long-term impacts of wildfire on debris flow activity and landslides remain insufficiently examined, primarily due to the absence of multi-temporal mapping inventories that document both phenomena in burned areas. Therefore, investigating the spatial and temporal evolution of post-fire debris flow activity, along with its dynamic interactions with landslides and other potential controlling factors, is essential for effective post-fire hazard prevention and mitigation. Based on multi-temporal field investigations and multi-source remote sensing data, systematic inventories of landslides and debris flows were developed to quantify the spatiotemporal changes in post-fire debris flow activity and landslide sediment supply capacity from 2020 to 2023 following the 28 March 2020 Xiangjiao Fire in Muli County, China. The results indicate that post-fire debris flow activity increased until the second rainy season after the wildfire, then gradually decayed, with dominant mechanisms shifting from runoff erosion to channel-bed and landslide erosion. In contrast, the occurrence of post-fire landslides exhibited a lagged peak, with the landslide sediment supply capacity steadily increasing over the four-year period following fire. Most landslides occurred on steep, south-facing slopes and were characterized by small, shallow failure processes. Additionally, this study examined the dynamic impacts of fire severity, topography, and landslide materials on post-fire debris flow activity. In the early stages, basins with steeper slopes and higher fire severity exhibited higher debris flow activity, primarily driven by runoff erosion processes and minimally influenced by landslide materials. Over time, a strong spatial and temporal correlation emerged between debris flow activity and variations in landslide sediment supply capacity, indicating that sediment supply became the dominant factor in later stages. Consequently, basins with high landslide sediment supply potential may experience prolonged debris flow activity beyond initial expectations.
C1 [Zhou, Ruichen; He, Kun; Hu, Xiewen; Cao, Xichao; Xi, Chuanjie; Zhou, Yonghao; Gong, Xueqiang; Deng, Lin] Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu 611756, Peoples R China.
   [Hu, Xiewen] Southwest Jiaotong Univ, Engn Lab Combined Natl & Local Spatial Informat Te, Chengdu 610031, Peoples R China.
   [He, Kun; Hu, Xiewen] Sichuan Prov Engn Technol Res Ctr Ecol Mitigat, Chengdu 611756, Peoples R China.
C3 Southwest Jiaotong University; Southwest Jiaotong University
RP He, K (corresponding author), Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu 611756, Peoples R China.; He, K (corresponding author), Sichuan Prov Engn Technol Res Ctr Ecol Mitigat, Chengdu 611756, Peoples R China.
EM hekun@swjtu.edu.cn
TC 7
Z9 8
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD MAR 27
PY 2025
VL 348
AR 107948
DI 10.1016/j.enggeo.2025.107948
EA FEB 2025
SC Engineering; Geology
UT WOS:001425396900001
ER

PT J
AU Shafapourtehrany, M
   Batur, M
   Shabani, F
   Pradhan, B
   Kalantar, B
   Özener, H
AF Shafapourtehrany, Mahyat
   Batur, Maryna
   Shabani, Farzin
   Pradhan, Biswajeet
   Kalantar, Bahareh
   Ozener, Haluk
TI A Comprehensive Review of Geospatial Technology Applications in
   Earthquake Preparedness, Emergency Management, and Damage Assessment
SO REMOTE SENSING
DT Review
DE remote sensing; earthquake; geospatial; hazard; review
ID TOHOKU-OKI EARTHQUAKE; AIRBORNE LIDAR; RISK-ASSESSMENT; POSTSEISMIC
   DEFORMATION; SURFACE DEFORMATION; WENCHUAN EARTHQUAKE; SATELLITE
   IMAGERY; THERMAL ANOMALIES; NATURAL HAZARDS; URBAN AREAS
AB The level of destruction caused by an earthquake depends on a variety of factors, such as magnitude, duration, intensity, time of occurrence, and underlying geological features, which may be mitigated and reduced by the level of preparedness of risk management measures. Geospatial technologies offer a means by which earthquake occurrence can be predicted or foreshadowed; managed in terms of levels of preparation related to land use planning; availability of emergency shelters, medical resources, and food supplies; and assessment of damage and remedial priorities. This literature review paper surveys the geospatial technologies employed in earthquake research and disaster management. The objectives of this review paper are to assess: (1) the role of the range of geospatial data types; (2) the application of geospatial technologies to the stages of an earthquake; (3) the geospatial techniques used in earthquake hazard, vulnerability, and risk analysis; and (4) to discuss the role of geospatial techniques in earthquakes and related disasters. The review covers past, current, and potential earthquake-related applications of geospatial technology, together with the challenges that limit the extent of usefulness and effectiveness. While the focus is mainly on geospatial technology applied to earthquake research and management in practice, it also has validity as a framework for natural disaster risk assessments, emergency management, mitigation, and remediation, in general.
C1 [Shafapourtehrany, Mahyat; Ozener, Haluk] Bogazici Univ, Kandilli Observ, Dept Geodesy, TR-34680 Istanbul, Turkiye.
   [Shafapourtehrany, Mahyat; Ozener, Haluk] Bogazici Univ, Earthquake Res Inst, TR-34680 Istanbul, Turkiye.
   [Batur, Maryna] Istanbul Tech Univ, Grad Sch, Dept Geomat Engn, Ayazaga Campus, TR-34469 Istanbul, Turkiye.
   [Shabani, Farzin] Qatar Univ, Coll Arts & Sci, Dept Biol & Environm Sci, POB 2713, Doha, Qatar.
   [Pradhan, Biswajeet] Univ Technol Sydney, Fac Engn & IT, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Sch Civil & Environm, Ultimo, NSW 2007, Australia.
   [Pradhan, Biswajeet] Univ Kebangsaan Malaysia, Inst Climate Change, Earth Observat Ctr, Bangi 43600, Malaysia.
   [Kalantar, Bahareh] RIKEN Ctr Adv Intelligence Project, Disaster Resilience Sci Team, Goal Oriented Technol Res Grp, Tokyo 1030027, Japan.
C3 Bogazici University; Bogazici University; Istanbul Technical University;
   Qatar University; University of Technology Sydney; Universiti Kebangsaan
   Malaysia; RIKEN
RP Shabani, F (corresponding author), Qatar Univ, Coll Arts & Sci, Dept Biol & Environm Sci, POB 2713, Doha, Qatar.
EM fshabani@qu.edu.qa
TC 24
Z9 26
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD APR
PY 2023
VL 15
IS 7
AR 1939
DI 10.3390/rs15071939
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000968892100001
ER

PT J
AU Bhuyan, K
   Tanyas, H
   Nava, L
   Puliero, S
   Meena, SR
   Floris, M
   van Westen, C
   Catani, F
AF Bhuyan, Kushanav
   Tanyas, Hakan
   Nava, Lorenzo
   Puliero, Silvia
   Meena, Sansar Raj
   Floris, Mario
   van Westen, Cees
   Catani, Filippo
TI Generating multi-temporal landslide inventories through a general deep
   transfer learning strategy using HR EO data
SO SCIENTIFIC REPORTS
DT Article
ID 2008 WENCHUAN EARTHQUAKE; PATH DEPENDENCY; GORKHA EARTHQUAKE;
   SUSCEPTIBILITY; CLASSIFICATION; HAZARD; PREDICTION; DERIVATION; FAILURE;
   AREAS
AB Mapping of landslides over space has seen an increasing attention and good results in the last decade. While current methods are chiefly applied to generate event-inventories, whereas multi-temporal (MT) inventories are rare, even using manual landslide mapping. Here, we present an innovative deep learning strategy which employs transfer learning that allows for the Attention Deep Supervision Multi-Scale U-Net model to be adapted for landslide detection tasks in new areas. The method also provides the flexibility of re-training a pretrained model to detect both rainfall- and earthquake-triggered landslides on new target areas. For the mapping, we used archived Planet Lab remote sensing images spanning a period between 2009 till 2021 with spatial resolution of 3-5 m to systematically generate MT landslide inventories. When we examined all cases, our approach provided an average F1 score of 0.8 indicating that we successfully identified the spatiotemporal occurrences of landslides. To examine the size distribution of mapped landslides we compared the frequency-area distributions of predicted co-seismic landslides with manually mapped products from the literature. Results showed a good match between calculated power-law exponents where the difference ranges between 0.04 and 0.21. Overall, this study showed that the proposed algorithm could be applied to large areas to generate polygon-based MT landslide inventories.
C1 [Bhuyan, Kushanav; Nava, Lorenzo; Puliero, Silvia; Meena, Sansar Raj; Floris, Mario; Catani, Filippo] Univ Padua, Dept Geosci, Machine Intelligence & Slope Stabil Lab, I-35131 Padua, Italy.
   [Bhuyan, Kushanav; Tanyas, Hakan; Meena, Sansar Raj; van Westen, Cees] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Ctr Disaster Resilience, Dept Appl Earth Sci, NL-7514 AE Enschede, Netherlands.
C3 University of Padua; University of Twente
RP Bhuyan, K (corresponding author), Univ Padua, Dept Geosci, Machine Intelligence & Slope Stabil Lab, I-35131 Padua, Italy.; Bhuyan, K (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Ctr Disaster Resilience, Dept Appl Earth Sci, NL-7514 AE Enschede, Netherlands.
EM kushanav.bhuyan@studenti.unipd.it
TC 50
Z9 55
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD JAN 4
PY 2023
VL 13
IS 1
AR 162
DI 10.1038/s41598-022-27352-y
SC Science & Technology - Other Topics
UT WOS:001003343100043
ER

PT J
AU Zou, Y
   Qi, SW
   Guo, SF
   Zheng, BW
   Zhan, ZF
   He, NW
   Huang, XL
   Hou, XK
   Liu, HY
AF Zou, Yu
   Qi, Shengwen
   Guo, Songfeng
   Zheng, Bowen
   Zhan, Zhifa
   He, Naiwu
   Huang, Xiaolin
   Hou, Xiaokun
   Liu, Haiyang
TI Factors controlling the spatial distribution of coseismic landslides
   triggered by the Mw 6.1 Ludian earthquake in China
SO ENGINEERING GEOLOGY
DT Article
DE Ludian earthquake; Spatial analysis; Landslide concentration; Coseismic
   landslides; Engineering disturbance
ID 2008 WENCHUAN EARTHQUAKE; 2013 LUSHAN EARTHQUAKE; DISTRIBUTION PATTERN;
   LOMA-PRIETA; HAZARD; YUNNAN; FAULT; SUSCEPTIBILITY; TOPOGRAPHY; PROVINCE
AB Understanding the spatial distribution regularity of coseismic landslides is important for mitigation in future earthquakes. Unveiling the controlling factors of the distribution of coseismic landslides is a long-standing unsolved problem. On 3 August 2014, a Mw 6.1 earthquake occurred in Ludian County, Yunnan Province, China, and resulted in a great number of landslides and substantial losses. The coseismic landslide distribution in this earthquake, which was triggered by an unmapped fault, shows a different pattern. This paper conducted a spatial analysis to reveal the controlling factors in the Ludian earthquake. A spatial database of landslides has been built by interpreting the ZY-3 pre-earthquake, unmanned aerial vehicle (UAV), GeoEye-1 and GF-1 post-earthquake. A total of 1414 landslides were identified after a combination of image interpretation and field investigation in an area of 704.7 km(2). The geological setting of the study area, including the tectonics and lithology, has been mapped in detail. The digital elevation model (DEM) of the study area with a resolution of 30 m x 30 m was presented to address the topographic characteristics. A geographic information system (GIS) was used to analyse the spatial characterization of the landslides. Correlations between the occurrences of landslides and factors, i.e., slope gradient, elevation, slope aspect, intensity, distance to coseismic fault, distance to the epicentre, lithology, distance to non-coseismic faults, distance to rivers and distance to road, were characterized with a spatial analysis in GIS. It can be concluded that the slope gradient and the distance to the coseismic fault are the two most important factors for determining the spatial distribution of coseismic disasters. Some other factors play a role by influencing the slope gradient to a certain extent, and the movement of the coseismic fault is the prone direction of coseismic landslides. Slope cutting fractures the rock mass, increases the slope gradient, and significantly increases the occurrence of coseismic landslides. A statistics analysis indicates that the landslide concentration (LC) generally has an obvious exponential decrease with an increasing distance to the coseismic fault, while it has a good Weibull cumulative distribution with the slope gradient.
C1 [Zou, Yu; Qi, Shengwen; Guo, Songfeng; Zheng, Bowen; Huang, Xiaolin; Hou, Xiaokun; Liu, Haiyang] Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn KLSGG, Beijing 100029, Peoples R China.
   [Zou, Yu; Qi, Shengwen; Guo, Songfeng; Zheng, Bowen; Huang, Xiaolin; Hou, Xiaokun; Liu, Haiyang] Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China.
   [Zou, Yu; Qi, Shengwen; Guo, Songfeng; Zheng, Bowen; Huang, Xiaolin; Hou, Xiaokun; Liu, Haiyang] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China.
   [Zhan, Zhifa] China Renewable Energy Engn Inst, Beijing 100120, Peoples R China.
   [He, Naiwu] China Highway Engn Consulting Corp, Beijing 100089, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   Chinese Academy of Sciences; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Qi, SW (corresponding author), Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn KLSGG, Beijing 100029, Peoples R China.
EM qishengwen@mail.iggcas.ac.cn
TC 46
Z9 55
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JAN
PY 2022
VL 296
AR 106477
DI 10.1016/j.enggeo.2021.106477
SC Engineering; Geology
UT WOS:000787902300001
ER

PT J
AU Amatya, P
   Scheip, C
   Déprez, A
   Malet, JP
   Slaughter, SL
   Handwerger, AL
   Emberson, R
   Kirschbaum, D
   Jean-Baptiste, J
   Huang, MH
   Clark, MK
   Zekkos, D
   Huang, JR
   Pacini, F
   Boissier, E
AF Amatya, Pukar
   Scheip, Corey
   Deprez, Aline
   Malet, Jean-Philippe
   Slaughter, Stephen L.
   Handwerger, Alexander L.
   Emberson, Robert
   Kirschbaum, Dalia
   Jean-Baptiste, Julien
   Huang, Mong-Han
   Clark, Marin K.
   Zekkos, Dimitrios
   Huang, Jhih-Rou
   Pacini, Fabrizio
   Boissier, Enguerran
TI Learnings from rapid response efforts to remotely detect landslides
   triggered by the August 2021 Nippes earthquake and Tropical Storm Grace
   in Haiti
SO NATURAL HAZARDS
DT Article
DE 2021 Nippes earthquake; Tropical Storm Grace; Haiti; Landslides; Rapid
   response; Satellite imagery
ID 2008 WENCHUAN EARTHQUAKE; 7.8 GORKHA EARTHQUAKE; OBJECT-BASED APPROACH;
   OPTICAL IMAGERY; RADAR DATA; INVENTORIES; RAINFALL; HAZARD; MODEL; MAPS
AB On August 14, 2021, a Mw 7.2 earthquake struck the Tiburon Peninsula of western Haiti triggering thousands of landslides. Three days after the earthquake on August 17, 2021, Tropical Storm Grace crossed shallow waters offshore of southern Haiti triggering more landslides worsening the situation. In the aftermath of these events, several organizations with disaster response capabilities or programs activated to provide information on the location of landslides to first responders on the ground. Utilizing remote sensing to support rapid response, one organization manually mapped initiation point of landslides and three automatically detected landslides. The 2021 Haiti event also provided a unique opportunity to test different automated landslide detection methods that utilized both SAR and optical data in a rapid response scenario where rapid situational awareness was critical. As the methods used are highly replicable, the main goal of this study is to summarize the landslide rapid response products released by the organizations, detection methods, quantify accuracy and provide guidelines on how some of the shortcomings encountered in this effort might be addressed in the future. To support this validation, a manually mapped polygon-based landslide inventory covering the entire affected area was created and is also released through this effort.
C1 [Amatya, Pukar; Emberson, Robert] Univ Maryland Baltimore Cty, GESTAR II, Baltimore, MD 21250 USA.
   [Amatya, Pukar; Emberson, Robert] NASA Goddard Space Flight Ctr, Hydrol Sci Lab, Greenbelt, MD 20771 USA.
   [Scheip, Corey] BGC Engn, Golden, CO USA.
   [Deprez, Aline; Malet, Jean-Philippe; Jean-Baptiste, Julien] Univ Strasbourg, Sch & Observ Earth Sci EOST, CNRS, Strasbourg, France.
   [Malet, Jean-Philippe] Univ Strasbourg, Inst Earth & Environm Strasbourg ITES, CNRS, Strasbourg, France.
   [Slaughter, Stephen L.] US Geol Survey, Golden, CO USA.
   [Handwerger, Alexander L.] CALTECH, Jet Prop Lab, Pasadena, CA USA.
   [Handwerger, Alexander L.] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA USA.
   [Kirschbaum, Dalia] NASA Goddard Space Flight Ctr, Earth Sci Div, Greenbelt, MD USA.
   [Huang, Mong-Han] Univ Maryland, Dept Geol, College Pk, MD USA.
   [Clark, Marin K.] Univ Michigan, Dept Earth & Environm Sci, Ann Arbor, MI USA.
   [Zekkos, Dimitrios; Huang, Jhih-Rou] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA USA.
   [Pacini, Fabrizio; Boissier, Enguerran] Terradue Srl, Rome, Italy.
C3 University System of Maryland; University of Maryland Baltimore County;
   National Aeronautics & Space Administration (NASA); NASA Goddard Space
   Flight Center; Universites de Strasbourg Etablissements Associes;
   Universite de Strasbourg; Centre National de la Recherche Scientifique
   (CNRS); Centre National de la Recherche Scientifique (CNRS); Universites
   de Strasbourg Etablissements Associes; Universite de Strasbourg; United
   States Department of the Interior; United States Geological Survey;
   National Aeronautics & Space Administration (NASA); NASA Jet Propulsion
   Laboratory (JPL); California Institute of Technology; University of
   California System; University of California Los Angeles; National
   Aeronautics & Space Administration (NASA); NASA Goddard Space Flight
   Center; University System of Maryland; University of Maryland College
   Park; University of Michigan System; University of Michigan; University
   of California System; University of California Berkeley
RP Amatya, P (corresponding author), Univ Maryland Baltimore Cty, GESTAR II, Baltimore, MD 21250 USA.; Amatya, P (corresponding author), NASA Goddard Space Flight Ctr, Hydrol Sci Lab, Greenbelt, MD 20771 USA.
EM pukar.m.amatya@nasa.gov
TC 5
Z9 6
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD SEP
PY 2023
VL 118
IS 3
BP 2337
EP 2375
DI 10.1007/s11069-023-06096-6
EA JUL 2023
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001034605700001
ER

PT J
AU Qin, SW
   Guo, X
   Sun, JB
   Qiao, SS
   Zhang, LS
   Yao, JY
   Cheng, QS
   Zhang, YQ
AF Qin, Shengwu
   Guo, Xu
   Sun, Jingbo
   Qiao, Shuangshuang
   Zhang, Lingshuai
   Yao, Jingyu
   Cheng, Qiushi
   Zhang, Yanqing
TI Landslide Detection from Open Satellite Imagery Using Distant Domain
   Transfer Learning
SO REMOTE SENSING
DT Article
DE landslide detection; satellite optical imagery; distant domain transfer
   learning; attention mechanism; remote sensing scene classification
ID CONVOLUTIONAL NEURAL-NETWORKS; WENCHUAN EARTHQUAKE; SHALLOW LANDSLIDES;
   DEBRIS-FLOW; CLASSIFICATION; RAINFALL
AB Using convolutional neural network (CNN) methods and satellite images for landslide identification and classification is a very efficient and popular task in geological hazard investigations. However, traditional CNNs have two disadvantages: (1) insufficient training images from the study area and (2) uneven distribution of the training set and validation set. In this paper, we introduced distant domain transfer learning (DDTL) methods for landslide detection and classification. We first introduce scene classification satellite imagery into the landslide detection task. In addition, in order to more effectively extract information from satellite images, we innovatively add an attention mechanism to DDTL (AM-DDTL). In this paper, the Longgang study area, a district in Shenzhen City, Guangdong Province, has only 177 samples as the landslide target domain. We examine the effect of DDTL by comparing three methods: the convolutional CNN, pretrained model and DDTL. We compare different attention mechanisms based on the DDTL. The experimental results show that the DDTL method has better detection performance than the normal CNN, and the AM-DDTL models achieve 94% classification accuracy, which is 7% higher than the conventional DDTL method. The requirements for the detection and classification of potential landslides at different disaster zones can be met by applying the AM-DDTL algorithm, which outperforms traditional CNN methods.
C1 [Qin, Shengwu; Guo, Xu; Sun, Jingbo; Qiao, Shuangshuang; Zhang, Lingshuai; Yao, Jingyu; Cheng, Qiushi; Zhang, Yanqing] Jilin Univ, Coll Construct Engn, Changchun 130026, Peoples R China.
C3 Jilin University
RP Qin, SW (corresponding author), Jilin Univ, Coll Construct Engn, Changchun 130026, Peoples R China.
EM qinsw@jlu.edu.cn; guoxu19@mails.jlu.edu.cn; sunjb19@mails.jlu.edu.cn;
   qiaoss17@mails.jlu.edu.cn; zhangls19@mails.jlu.edu.cn;
   yaojy18@mails.jlu.edu.cn; chengqs19@mails.jlu.edu.cn;
   zhangyq19@mails.jlu.edu.cn
TC 45
Z9 54
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD SEP
PY 2021
VL 13
IS 17
AR 3383
DI 10.3390/rs13173383
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000694607100001
ER

PT J
AU Chang, M
   Liu, Y
   Zhou, C
   Che, HX
AF Chang, Ming
   Liu, Yang
   Zhou, Chao
   Che, Hongxiao
TI Hazard assessment of a catastrophic mine waste debris flow of Hou Gully,
   Shimian, China
SO ENGINEERING GEOLOGY
DT Article
DE Mine waste debris flow; Hou gully; Movement process; Numerical
   simulation; Hazard assessment
ID WENCHUAN EARTHQUAKE; RAINFALL INTENSITY; SHALLOW LANDSLIDES; DURATION
   CONTROL; RISK-ASSESSMENT; SIMULATION; INITIATION; DUMPS; DAMS; AREA
AB On July 4, 2013, a substantial disastrous debris flow occurred in the Hou Gully in Shimian County, China. The Hou gully belongs to mine waste debris flow, which seriously threatens a large number of traffic facilities, factories, farmland, and residents located in the accumulation area. This paper took the Hou gully as an example and aimed to describe a typical mine waste debris flow, analyze the formation conditions, calculate the static and dynamic parameters, simulate the movement process, and evaluate the hazard. Distribution characteristics of slag were interpreted using the method of remote sensing and field investigation. FLO-2D model was chosen to simulate the movement process of debris flow in Hou gully under different recurrence period. According to the maximum momentum and maximum accumulation depth obtained by numerical calculation, the classification standard of intensity was established for mine waste debris flow. The occurrence probability and intensity of mine waste debris flow as critical factors to classify the hazard of Hou gully. The study process of this paper are conducive to a better understanding of the formation condition, movement characteristic, and hazard scope of mine waste debris flows induced by intensive rainfall. The hazard assessment map of Hou gully can provide a scientific basis for reconstruction and mitigation projects in the future.
C1 [Chang, Ming; Liu, Yang; Zhou, Chao; Che, Hongxiao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Chang, Ming] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610044, Peoples R China.
   [Chang, Ming] Cardiff Univ, Sch Earth & Ocean Sci, Cardiff, Wales.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Institute
   of Mountain Hazards & Environment, CAS; Cardiff University
RP Chang, M (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM changming15@cdut.edu.cn
TC 42
Z9 49
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD SEP 20
PY 2020
VL 275
AR 105733
DI 10.1016/j.enggeo.2020.105733
SC Engineering; Geology
UT WOS:000560722900011
ER

PT J
AU Liu, M
   Fu, BH
   Dong, YF
AF Liu Ming
   Fu Bi-Hong
   Dong Yan-Fang
TI Neotectonics of NE-striking fault zones and earthquake risk in the
   Yunnan-Myanmar block, southeastern margin of the Tibetan plateau
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Strike-slip fault; Long-term slip rate; Earthquake risk; The
   Yunnan-Myanmar block; Southeastern margin of Tibetan plateau
ID 2008 WENCHUAN EARTHQUAKE; ACTIVE TECTONICS; KUNLUN FAULT; SE ASIA;
   DEFORMATION; MODEL; KINEMATICS; EVOLUTION; BENEATH; SICHUAN
AB The Yunnan-Burma block, located in the southeast margin of the Tibetan plateau, is one of the most tectonically active regions in mainland China. Since 1900, more than 10 earthquakes with magnitude over 7 occurred in this region, which account for more than a half of the great earthquakes in Yunnan. Moreover, the recent M(S)7. 2 earthquake occurred in Mong Hpayak on March 24, 2011, and a series of M(S)5. 5 earthquakes in the western Yunnan. If these earthquakes are not isolated, does they mean early warning of great earthquakes in the future? Therefore, for the purpose of earthquake prevention and disaster mitigation, it is urgent and necessary to carry out seismic risk assessment in this region especially along the NE-trending fault zones.
   The method of tectonic geomorphology was used to analyze fault activity. By measuring the deformation of the typical geomorphic or geologic units together with dating data, fault activity was estimated. The measurement was finished indoor or in the field. Remote sensing data were interpreted and geologic maps were prepared. According to the interpretation of drainage systems based on the remote sensing data, displacement of faults were determined. In the field, the rope and scale were employed for measurement ( if displacement is too long, GPS equipment was used). Using dating technology, motion rates on the faults in the study area were estimated.
   The analysis of tectonic geomorphology along the Nanting fault zone, and drainages and channels across the fault zone shows systematically left-lateral offset. The largest offset occurs along the Nujiang River, and total displacement of the fault here is about 10 km. Moreover, offsets of rivers near the village Datianba range from 1. 5 to 5. 5 km and 1. 8 to 2. 1 km near Panhe Farm, respectively. Besides geomorphic units, geologic units are also displaced. Granite bodies west of the Yun County show obviously sinistral slip ranging from 4. 1m to 5. 6 km.
   Based on the tectonic characteristics and deep dynamic mechanism of NE-trending tectonics within the Yunnan-Myanmar block, the following conclusions are obtained. Firstly, the maximum displacement of the NE-trending left lateral strike-slip fault zone is 10 km. According to its initial age of 5 Ma, the minimum of the left lateral strike slip rate is ca. 2 mm . a(-1). Secondly, the late Cenozoic tectonic deformation and seismic activity of the Yunnan-Myanmar block are mainly controlled by the East India plate subduction, and the deformation in dominated by strike slip on faults. Thirdly, based on the analysis of the scales of NE direction left-lateral faults and recurrence times of historical earthquakes, the study region including the Nantinghe, Wanding and Dayingjiang fault zones and the surrounding areas has risk of large earthquakes of magnitude 7 or greater. More attention should be paid to earthquake prevention and risk assessment of large engineering projects in this region.
C1 [Liu Ming; Fu Bi-Hong] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Fu Bi-Hong] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
   [Liu Ming] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Dong Yan-Fang] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS;
   Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS; China Earthquake Administration
RP Liu, M (corresponding author), Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
EM liumingzky@hotmail.com; fubh@radi.ac.cn
TC 7
Z9 10
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD NOV
PY 2015
VL 58
IS 11
BP 4174
EP 4186
DI 10.6038/cjg20151124
SC Geochemistry & Geophysics
UT WOS:000365695200024
ER

PT J
AU Cao, C
   Zhu, KX
   Xu, PH
   Shan, B
   Yang, G
   Song, SY
AF Cao, Chen
   Zhu, Kuanxing
   Xu, Peihua
   Shan, Bo
   Yang, Guang
   Song, Shengyuan
TI Refined landslide susceptibility analysis based on InSAR technology and
   UAV multi-source data
SO JOURNAL OF CLEANER PRODUCTION
DT Article
DE Landslide susceptibility; Machine learning; InSAR; Field investigation;
   Multi-source data
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; RIVER-BASIN; INTERFEROMETRY;
   COUNTY
AB Landslide susceptibility analysis at the regional scale is the focus of landslide risk management. To obtain more accurate and guiding significance results of landslide susceptibility, it is necessary to conduct a refined analysis on the basis of regional scale. Therefore, we proposed a refined method for landslide susceptibility assessment. This method comprehensively considered the geological and dynamic surface deformation information, and was applied in some areas of Maoxian County. We selected twelve influencing factors (elevation, slope, relief amplitude, curvature, aspect, engineering geological rock group, distance to fault, distance to river, land type, vegetation type, and topographic wetness index, rainfall) and used the traditional machine learning method for landslide susceptibility. Then, the Interferometric Synthetic Aperture Radar (InSAR) technology was introduced to modify the unsuitable zoning of the traditional landslide susceptibility. Based on the improved landslide susceptibility mapping, field investigation and UAV models were used to verify. The results showed that the introduction of InSAR technology and UAV multi-source data can rationalize the inappropriate zoning in traditional landslide susceptibility, and landslides (L1 and L7) with very high susceptibility were identified. The field investigation and spatial-temporal evolution characteristics of typical landslides indicated that both L1 and L7 were severely damaged and in the deformation stage. L1 showed significant deformation during road con-struction. However, the deformation of L1 reacted on the pavement, resulting in many tensile cracks. The deformation of L7 was mainly affected by rainfall and presented the characteristics of seasonal variation, and the deformation was accelerated in the rainy season. Therefore, the proposed method had a better performance in landslide susceptibility and improved the accuracy. It can realize the refined analysis of landslide susceptibility in a large area and provide technical support for geological hazard susceptibility assessment and reference for disaster prevention and mitigation.
C1 [Cao, Chen; Zhu, Kuanxing; Xu, Peihua; Yang, Guang; Song, Shengyuan] Jilin Univ, Coll Construct Engn, Changchun 130026, Jilin, Peoples R China.
   [Shan, Bo] China Power Engn Consulting Grp, Northeast Elect Power Design Inst CO LTD, Jilin 130000, Peoples R China.
   [Yang, Guang] Shenyang Geotech Invest & Surveying Res Inst Co Lt, Shenyang 110000, Liaoning, Peoples R China.
C3 Jilin University
RP Song, SY (corresponding author), Jilin Univ, Coll Construct Engn, Changchun 130026, Jilin, Peoples R China.
EM ccao@jlu.edu.cn; zhukx21@mails.jlu.edu.cn; xuph@jlu.edu.cn;
   shanbo@nepdi.net; guangyang17@mails.jlu.edu.cn; songshengyuan@jlu.edu.cn
TC 52
Z9 54
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0959-6526
EI 1879-1786
PD SEP 25
PY 2022
VL 368
AR 133146
DI 10.1016/j.jclepro.2022.133146
EA JUL 2022
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
UT WOS:000843189400002
ER

PT J
AU Dehnavi, A
   Aghdam, IN
   Pradhan, B
   Varzandeh, MHM
AF Dehnavi, Alireza
   Aghdam, Iman Nasiri
   Pradhan, Biswajeet
   Varzandeh, Mohammad Hossein Morshed
TI A new hybrid model using step-wise weight assessment ratio analysis
   (SWAM) technique and adaptive neuro-fuzzy inference system (ANFIS) for
   regional landslide hazard assessment in Iran
SO CATENA
DT Article
DE Landslide susceptibility; Step-wise weight assessment ratio analysis
   (SWARA) method; Adaptive neuro-fuzzy inference system (ANFIS);
   Geographical information system (GIS); Remote sensing; Iran
ID SUPPORT VECTOR MACHINE; ANALYTICAL HIERARCHY PROCESS; 3 GORGES AREA;
   LOGISTIC-REGRESSION; SHALLOW-LANDSLIDE; SUSCEPTIBILITY ASSESSMENT;
   DECISION-MAKING; LAND-USE; MULTICRITERIA DECISION; WENCHUAN EARTHQUAKE
AB In recent years, Iran has experienced many landslides due to high tectonic activity, and a variety of geological and climatic conditions. This paper proposes a novel hybrid model based on step-wise weight assessment ratio analysis (SWARA) method and adaptive neuro-fuzzy inference system (ANFTS) to evaluate landslide susceptible areas using geographical information system (GIS). At first, based on an inventory map, landslide locations were randomly divided into two parts, 70% of which were used for generating the landslide hazard map and 30% of which were used for the validation of the model. Then, twelve landslide predisposing factors, such as lithology, slope angle, slope aspect, plan curvature, profile curvature, altitude, distance to streams, distance to faults, distance to roads, land use, seismicity, and rainfall were considered for the analysis. All the factors were then weighted by the SWARA method. Considering the nature of predisposing factors, they were split into two groups, factors with discrete data and factors with continuous data. For factors with discrete data, the SWARA method was used for final weight of each class, and for factors with continuous data, results related to the center of each class were obtained from the SWARA method. Subsequently, AFNIS was used to obtain weight of each value. All the values obtained from the model were then used to generate the landslide hazard map of the study area. Finally, the landslide hazard map was validated by receiver operating characteristics (ROC) using both success rate curve and prediction rate curve. 70% of observed landslides were used for the former while the remaining was used for the latter. The validation results showed that the area under the success rate curve and prediction rate curve (AUC) are 0.84 and 0.80 respectively. Additionally, the prediction performance of the SWARA method for landslide hazard mapping was investigated and the results were compared with those obtained from the proposed model. The comparison revealed that the developed model has better prediction ability for landslide hazard assessment The results also indicated that the proposed model used in this study produced satisfactory and reliable landslide hazard map, which can be used for preliminary land use and infrastructure planning in Iran. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Dehnavi, Alireza] Sharif Univ Technol, Dept Civil Engn, Tehran, Iran.
   [Aghdam, Iman Nasiri] Islamic Azad Univ, Dept Remote Sensing & Geog Informat Syst, Fac Environm & Energy, Sci & Res Branch, Tehran, Iran.
   [Pradhan, Biswajeet] Univ Putra Malaysia, Dept Civil Engn, GISRC, Fac Engn, Serdang 43400, Malaysia.
   [Varzandeh, Mohammad Hossein Morshed] Islamic Azad Univ, South Tehran Branch, Young Researchers & Elite Club, Tehran, Iran.
C3 Sharif University of Technology; Islamic Azad University; Universiti
   Putra Malaysia; Islamic Azad University
RP Pradhan, B (corresponding author), Univ Putra Malaysia, Dept Civil Engn, GISRC, Fac Engn, Serdang 43400, Malaysia.
EM biswajeet24@gmail.com
TC 222
Z9 248
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD DEC
PY 2015
VL 135
BP 122
EP 148
DI 10.1016/j.catena.2015.07.020
SC Geology; Agriculture; Water Resources
UT WOS:000366225900015
ER

PT J
AU Cao, CJ
   Li, CD
   Yang, Q
   Liu, Y
   Qu, T
AF Cao, Cejun
   Li, Congdong
   Yang, Qin
   Liu, Yang
   Qu, Ting
TI A novel multi-objective programming model of relief distribution for
   sustainable disaster supply chain in large-scale natural disasters
SO JOURNAL OF CLEANER PRODUCTION
DT Article
DE Relief distribution; Sustainable disaster supply chain; Victims'
   perceived satisfaction; Multi-objective programming model; Genetic
   algorithm
ID LOGISTICS DISTRIBUTION; RESOURCE-ALLOCATION; EMERGENCY RESPONSE; BIG
   DATA; OPTIMIZATION; MANAGEMENT; RESILIENCE; OPERATIONS; EFFICIENCY;
   FRAMEWORK
AB To save lives and reduce suffering of victims, the focus of this paper is to design the strategies of relief distribution regarding beneficiary perspective on sustainability. This problem is formulated as a multi objective mixed-integer nonlinear programming model to maximize the lowest victims' perceived satisfaction, and minimize respectively the largest deviation on victims' perceived satisfaction for all demand points and sub-phases. Then, genetic algorithm is proposed to solve this mathematical model. To validate the proposed methodologies, a case study from Wenchuan earthquake is illustrated. Computational results demonstrate genetic algorithm here can achieve the trade-off between solution quality and computation time for relief distribution with the concern of sustainability. Furthermore, it indicates that the methodology provides the tools for decision-makers to optimize the structure of relief distribution network and inventory, as well as alleviate the suffering of victims. Increasingly, this paper expects to not only validate the proposed model and method, but also highlight the importance and urge of considering beneficiary perspective on sustainability into relief distribution problem. (C) 2017 Elsevier Ltd. All rights reserved.
C1 [Cao, Cejun; Li, Congdong] Tianjin Univ, Coll Management & Econ, Tianjin 300072, Peoples R China.
   [Li, Congdong] Jinan Univ, Sch Management, Guangzhou 510632, Guangdong, Peoples R China.
   [Cao, Cejun; Liu, Yang; Qu, Ting] Jinan Univ, Inst Phys Internet, Zhuhai Campus, Zhuhai 519070, Peoples R China.
   [Yang, Qin] Sichuan Normal Univ, Sch Business, Chengdu 610101, Sichuan, Peoples R China.
   [Liu, Yang] Linkoping Univ, Dept Management & Engn, SE-58183 Linkoping, Sweden.
   [Liu, Yang] Univ Vaasa, Dept Prod, Vaasa 65200, Finland.
C3 Tianjin University; Jinan University; Jinan University; Sichuan Normal
   University; Linkoping University; University of Vaasa
RP Li, CD (corresponding author), Jinan Univ, Sch Management, Guangzhou 510632, Guangdong, Peoples R China.; Liu, Y (corresponding author), Jinan Univ, Inst Phys Internet, Zhuhai Campus, Zhuhai 519070, Peoples R China.
EM licd@jnu.edu.cn; yang.liu@liu.se
TC 149
Z9 171
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0959-6526
EI 1879-1786
PD FEB 10
PY 2018
VL 174
BP 1422
EP 1435
DI 10.1016/j.jclepro.2017.11.037
SC Science & Technology - Other Topics; Engineering; Environmental Sciences
   & Ecology
UT WOS:000424727100127
ER

PT J
AU Guan, GF
   Lin, ZJ
   Gong, Y
   Jiang, ZJ
AF Guan, Gaofeng
   Lin, Zijun
   Gong, Yu
   Jiang, Zhijuan
TI Modeling and Simulation of Collaborative Dispatching of Disaster Relief
   Materials Based on Urgency
SO MATHEMATICAL PROBLEMS IN ENGINEERING
DT Article
ID HUMANITARIAN LOGISTICS; SUPPLY CHAINS; BIG DATA; EMERGENCY; DEMAND;
   COORDINATION; OPTIMIZATION; ANALYTICS; TIME
AB In order to address the lack of collaborative decision and failure to notice the emergency and fairness of relief after disasters have occurred, a collaborative decision-making system for emergency relief materials dispatching is established. According to the forecast of the demand for postdisaster relief materials, the entropy weight-TOPSIS method is applied to measure the urgency of the disaster area; then, a "Hub-and-Spoke" dispatching network is constructed. In this paper, a multiobjective collaborative relief material dispatching model is built, which has great performance in terms of minimal distribution cost and maximal fairness, and the objective of fairness requires minimizing the penalty cost caused by unsatisfied demands. Based on the urgency of demand points, the simulated annealing algorithm is designed to solve the Pareto disaggregation of multiobjective optimization model. The performance of the model is verified with the case of Wenchuan Earthquake. The results indicate that if the fair distribution of supplies is emphasized, it will increase the number of rescue vehicles and the number of distribution batches. On the other hand, a variety of relief material dispatching plans can be provided based on calculation of the Pareto front for policy-makers.
C1 [Guan, Gaofeng] Zhejiang Univ Sci & Technol, Sch Econ & Management, Hangzhou 310023, Peoples R China.
   [Guan, Gaofeng; Lin, Zijun] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu 610031, Peoples R China.
   [Gong, Yu] Univ Southampton, Southampton Business Sch, Southampton SO17 1BJ, Hants, England.
   [Jiang, Zhijuan] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China.
C3 Zhejiang University of Science & Technology; Southwest Jiaotong
   University; University of Southampton; Solent University; Nanjing
   University of Information Science & Technology
RP Gong, Y (corresponding author), Univ Southampton, Southampton Business Sch, Southampton SO17 1BJ, Hants, England.
EM minergaofeng@126.com; linzijunzoey@126.com; y.gong@soton.ac.uk;
   003248@nuist.edu.cn
TC 9
Z9 11
PU HINDAWI LTD
PI LONDON
PA ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON, W1T 5HF, ENGLAND
SN 1024-123X
EI 1563-5147
PD AUG 10
PY 2020
VL 2020
AR 4274106
DI 10.1155/2020/4274106
SC Engineering; Mathematics
UT WOS:000565248200005
ER

PT J
AU Tan, JY
   Yang, C
   Wang, YZ
   Xiong, HX
   Ma, CM
AF Tan, Jiayao
   Yang, Chi
   Wang, Yuzhou
   Xiong, Hanxiang
   Ma, Chuanming
TI A hybrid model to overcome landslide inventory incompleteness issue for
   landslide susceptibility prediction
SO GEOCARTO INTERNATIONAL
DT Article
DE Hybrid model; landslide susceptibility; optimization function;
   prevention and control; incomplete landslide inventory
ID GEOGRAPHICAL INFORMATION-SYSTEM; ARTIFICIAL NEURAL-NETWORKS; HIERARCHY
   PROCESS AHP; LOGISTIC-REGRESSION; HAZARD ASSESSMENT; WENCHUAN
   EARTHQUAKE; GIS; AREA; MAPS; MULTISCALE
AB Landslide inventory incompleteness (LII) may significantly affect the model performance in landslide susceptibility mapping (LSM). However, traditional methods, including heuristic, statistical and deterministic models, cannot address LII issue. In this work, we introduce a novel hybrid LEO-MAHP model, blending landslide frequency, empirical adjustments, optimization functions, and multi-participated analytic hierarchy process to address it by taking Badong County as the study area. This hybrid model mitigates the drawbacks of data-heavy statistical approaches and subjective heuristic models by incorporating LII into weight determination. The findings show that the LEO-MAHP model demonstrates superior performance (AUROC = 0.809 and 0.805) over conventional statistical (AUROC = 0.714 and 0.770) and heuristic models (AUROC = 0.738 and 0.741) across different LII levels. We further discuss alternative LII solutions, proposing an updated landslide management strategy that accounts for climate change and human activities. Our findings underscore the necessity of evaluating LII before applying statistical or machine learning methods in LSM.
C1 [Tan, Jiayao; Yang, Chi; Xiong, Hanxiang; Ma, Chuanming] China Univ Geosci, Sch Environm Studies, Wuhan, Peoples R China.
   [Wang, Yuzhou] Shanghai Jiao Tong Univ, Sch Environm Sci & Engn, Shanghai, Peoples R China.
   [Wang, Yuzhou] Eastern Inst Technol, Eastern Inst Adv Study, Ningbo, Peoples R China.
C3 China University of Geosciences; Shanghai Jiao Tong University; Eastern
   Institute of Technology, Ningbo; Eastern Institute for Advanced Study
RP Xiong, HX; Ma, CM (corresponding author), China Univ Geosci, Sch Environm Studies, Wuhan, Peoples R China.
EM hanxiangxiong@cug.edu.cn; machuanming@cug.edu.cn
TC 3
Z9 4
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1010-6049
EI 1752-0762
PD JAN 1
PY 2024
VL 39
IS 1
AR 2322066
DI 10.1080/10106049.2024.2322066
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001180017900001
ER

PT J
AU Han, SY
   Liu, B
   Fan, XY
   Feng, TT
   Yang, JJ
   Zhou, ZL
   Gong, H
   Luo, J
AF Han, Suyue
   Liu, Bin
   Fan, Xinyue
   Feng, Tingting
   Yang, JingJing
   Zhou, Zhongli
   Gong, Hao
   Luo, Jie
TI A new approach for landslide susceptibility assessments based on
   KDE-MDBN: A case study from mountainous regions impacted by the Wenchuan
   earthquake, China
SO ENVIRONMENTAL MODELLING & SOFTWARE
DT Article
DE Extremely earthquake-stricken areas; Landslide hazard; KDE; MDBN;
   Singularity index; Spatial susceptibility map
ID STATISTICAL-ANALYSIS; SLOPE INSTABILITY; GIS; AREA; SELECTION; ENTROPY;
   MODELS; TURKEY; INDEX; BASIN
AB Earthquake-stricken areas are characterized by frequent and long-lasting geological disasters. Therefore, a scientific and reasonable study on the spatial prediction of post-earthquake landslide hazards is beneficial to the sustainable development of these areas. Firstly, the spatial effects of landslide hazards are analyzed using KDE, and the singularity index is used to delineate the area where negative samples can be selected to reduce the impact of uncertainty on the model. Secondly, eight landslide influencing factors are selected, and the weights of each influencing factor are calculated by using a geodetector. Finally, the traditional binary dependent variable approach is changed, and a KDE-MDBN landslide hazard spatial susceptibility assessment model is constructed. The research indicates that the assessment model based on KDE-MDBN can accurately reflect the characteristics of the spatial distribution of landslide hazards in the area. The results of presented in this paper can provide reference information for subsequent susceptibility assessments.
C1 [Han, Suyue; Liu, Bin; Fan, Xinyue; Zhou, Zhongli; Gong, Hao] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
   [Liu, Bin; Feng, Tingting; Yang, JingJing; Zhou, Zhongli; Gong, Hao; Luo, Jie] Chengdu Univ Technol, Coll Math & Phys, Chengdu 610059, Peoples R China.
   [Han, Suyue; Liu, Bin; Fan, Xinyue; Feng, Tingting; Yang, JingJing; Zhou, Zhongli; Gong, Hao; Luo, Jie] Chengdu Univ Technol, Geomath Key Lab Sichuan Prov, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology;
   Chengdu University of Technology
RP Liu, B (corresponding author), Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
EM liubincim@163.com
TC 13
Z9 15
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 1364-8152
EI 1873-6726
PD SEP
PY 2023
VL 167
AR 105759
DI 10.1016/j.envsoft.2023.105759
EA JUL 2023
SC Computer Science; Engineering; Environmental Sciences & Ecology; Water
   Resources
UT WOS:001031863500001
ER

PT J
AU Hu, XD
   Yang, F
   Hu, KH
   Ding, M
   Liu, S
   Wei, L
AF Hu, Xudong
   Yang, Feng
   Hu, Kaiheng
   Ding, Miao
   Liu, Shuang
   Wei, Li
TI Estimating the debris-flow magnitude using landslide sediment
   connectivity, Qipan catchment, Wenchuan County, China
SO CATENA
DT Article
DE Debris -flow magnitude; Landslide connectivity; Sediment transport
   capacity; Wenchuan earthquake
ID JIUZHAIGOU EARTHQUAKE; CLASSIFICATION; IMPACTS; COVER; YIELD; MODEL; GIS
AB In an earthquake disturbed basin, the earthquake-induced landslides' connectivity with debris-flow channels determines the landslide sediment volume that is transported into debris flows, and the debris-flow magnitude as well. In this study, the index of sediment connectivity (IC) was used to analyze the evolution of landslide sediment transport capacity. A normalized IC was developed to quantify the movable volume of the landslide sediment available for debris flows. Combined with a landslide empirical relationship, sediment connectivity calculation, particle model, and numerical algorithm, two debris-flow events after the 2008 Wenchuan earth-quake were simulated for the Qipan catchment. The results show good agreement between the simulated and observed debris-flow magnitudes of peak discharges, inundated areas, and depths with approximately 9% average error, which indicates that the normalized landslide connectivity index is suitable for estimating the movable volume. Moreover, the IC and landslide characteristics (area and location) showed significant negative correlations, indicating that the spatial connectivity of landslide sediment generally decayed over time, with a corresponding reduction in debris-flow magnitude.
C1 [Hu, Xudong; Yang, Feng; Ding, Miao] China Three Gorges Univ, Key Lab Geol Hazards Three Gorges Reservoir Area, Minist Educ, Yichang 443002, Peoples R China.
   [Hu, Xudong; Yang, Feng; Ding, Miao] China Three Gorges Univ, Hubei Key Lab Disaster Prevent & Mitigat, Yichang 443002, Peoples R China.
   [Hu, Xudong; Yang, Feng; Ding, Miao] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
   [Hu, Kaiheng; Liu, Shuang; Wei, Li] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Hu, Kaiheng; Liu, Shuang; Wei, Li] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
C3 China Three Gorges University; China Three Gorges University; China
   Three Gorges University; Chinese Academy of Sciences; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS
RP Hu, XD (corresponding author), China Three Gorges Univ, Key Lab Geol Hazards Three Gorges Reservoir Area, Minist Educ, Yichang 443002, Peoples R China.
EM hxd@ctgu.edu.cn
TC 13
Z9 14
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD JAN
PY 2023
VL 220
AR 106689
DI 10.1016/j.catena.2022.106689
EA OCT 2022
PN A
SC Geology; Agriculture; Water Resources
UT WOS:000877708600002
ER

PT J
AU Mavrouli, M
   Mavroulis, S
   Lekkas, E
   Tsakris, A
AF Mavrouli, Maria
   Mavroulis, Spyridon
   Lekkas, Efthymios
   Tsakris, Athanassios
TI The Impact of Earthquakes on Public Health: A Narrative Review of
   Infectious Diseases in the Post-Disaster Period Aiming to Disaster Risk
   Reduction
SO MICROORGANISMS
DT Review
DE infectious diseases; earthquakes; landslides; gastrointestinal;
   respiratory infection; water-borne disease; vector-borne disease; wound
   infection; skin infection; disaster risk reduction
ID ANTHROPONOTIC CUTANEOUS LEISHMANIASIS; POSTTRAUMATIC-STRESS-DISORDER;
   CHI-CHI EARTHQUAKE; WOUND INFECTIONS; WENCHUAN EARTHQUAKE; NATURAL
   DISASTERS; CRUSH SYNDROME; MEDICAL RESPONSE; 1994 NORTHRIDGE; BAM
   EARTHQUAKE
AB Earthquakes are among the most impressive natural phenomena with very high potential to set off a chain of effects that significantly affects public health through casualties and injuries. Related disasters are attributed not only to the strong ground motion and coseismic phenomena but also to secondary effects, comprising mainly landslides and tsunamis, among others. All these can create harsh conditions favorable for the emergence of infectious diseases that are capable of causing additional human and economic losses and disruption of the emergency and recovery process. The present study comprises an extensive narrative review of the existing literature on the earthquake-triggered infectious diseases recorded worldwide, along with their symptoms, causative pathogens, associated risk factors, most vulnerable population groups, and prevention strategies. Respiratory, gastrointestinal, and vector-borne diseases, as well as wound and skin infections, are mainly recorded among the earthquake-affected population. Measures for effectively preventing earthquake-triggered infectious diseases are also proposed. One of the widely proposed measures is the establishment of a proper disease surveillance system in order to immediately and effectively identify the pre- and post-disaster occurrence of infectious diseases. This approach significantly contributes to disease trends monitoring, validation of early warning, and support of the emergency response and recovery actions.
C1 [Mavrouli, Maria; Tsakris, Athanassios] Natl & Kapodistrian Univ Athens, Med Sch, Dept Microbiol, Athens 11527, Greece.
   [Mavroulis, Spyridon; Lekkas, Efthymios] Natl & Kapodistrian Univ Athens, Fac Geol & Geoenvironm, Sch Sci, Dept Dynam Tecton Appl Geol, Athens 15784, Greece.
C3 National & Kapodistrian University of Athens; National & Kapodistrian
   University of Athens
RP Mavrouli, M (corresponding author), Natl & Kapodistrian Univ Athens, Med Sch, Dept Microbiol, Athens 11527, Greece.
EM mmavrouli@med.uoa.gr
TC 81
Z9 99
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-2607
PD FEB
PY 2023
VL 11
IS 2
AR 419
DI 10.3390/microorganisms11020419
SC Microbiology
UT WOS:000940509400001
ER

PT J
AU Hu, W
   Scaringi, G
   Xu, Q
   Pei, Z
   Van Asch, TWJ
   Hicher, PY
AF Hu, Wei
   Scaringi, Gianvito
   Xu, Qiang
   Pei, Zhuan
   Van Asch, Theo W. J.
   Hicher, Pierre-Yves
TI Sensitivity of the initiation and runout of flowslides in loose granular
   deposits to the content of small particles: An insight from flume tests
SO ENGINEERING GEOLOGY
DT Article
DE Flowslide; Landslide; Small particle content; Flume test; Fluidization;
   Instability
ID RAINFALL-INDUCED LANDSLIDES; DEBRIS FLOWS; WENCHUAN EARTHQUAKE;
   INSTABILITY; BEHAVIOR; MOBILIZATION; LIQUEFACTION; MOVEMENTS; FAILURE;
   MODEL
AB Landslides of the flow type are among the most destructive mass movements due to their potential high mobility, long runout distance and capacity of entraining further material during movement. Generation of positive pore pressure excess is considered to be a fundamental triggering mechanism which, in some cases, can produce stress state instability and fluidization of both fine-grained and granular deposits, resulting in extremely fast and catastrophic events. Several experimental works and theoretical studies have been carried out so far to investigate the initiation mechanism and runout of flowslides. However, efforts are still needed to improve the understanding, for instance, of the role of the soil grading on the initiation and evolution of the movement. To this aim, a series of flume tests has been carried out using granular mixtures of coarse and small particles. High temporal resolution data acquisition has been used to investigate the onset of failure in terms of pore pressures, surface and internal displacements and vibration signals. By means of shear-controlled triaxial tests and permeability tests, the hydraulic conductivity has been found to be a controlling factor in the landslide initiation, whereas the uniqueness of the instability line the lower bound of potentially unstable stress states regardless of the soil grading, suggests that pore pressure measurement in the field can serve as a reliable indicator in early warning systems.
C1 [Hu, Wei; Scaringi, Gianvito; Xu, Qiang; Pei, Zhuan; Van Asch, Theo W. J.] Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Van Asch, Theo W. J.] Univ Utrecht, Fac Geosci, Heidelberglaan 2, NL-3584 CS Utrecht, Netherlands.
   [Hicher, Pierre-Yves] Ecole Cent Nantes, CNRS, UMR 6183, GeM, Nantes, France.
C3 Chengdu University of Technology; Utrecht University; Nantes Universite;
   Ecole Centrale de Nantes; Centre National de la Recherche Scientifique
   (CNRS); CNRS - Institute for Engineering & Systems Sciences (INSIS)
RP Hu, W (corresponding author), Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
EM huwei1999@126.com
TC 58
Z9 60
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD DEC 14
PY 2017
VL 231
BP 34
EP 44
DI 10.1016/j.enggeo.2017.10.001
SC Engineering; Geology
UT WOS:000418975600005
ER

PT J
AU Di, BF
   Zhang, HY
   Liu, YY
   Li, JR
   Chen, NS
   Stamatopoulos, CA
   Luo, YZ
   Zhan, Y
AF Di, Baofeng
   Zhang, Hanyue
   Liu, Yongyao
   Li, Jierui
   Chen, Ningsheng
   Stamatopoulos, Constantine A.
   Luo, Yuzhou
   Zhan, Yu
TI Assessing Susceptibility of Debris Flow in Southwest China Using
   Gradient Boosting Machine
SO SCIENTIFIC REPORTS
DT Article
ID HAZARD ASSESSMENT; WENCHUAN EARTHQUAKE; SICHUAN PROVINCE; MEDIUM-SCALE;
   RISK; AREA; GIS; PREDICTION; INTENSITY; MODEL
AB A gradient boosting machine (GBM) was developed to model the susceptibility of debris flow in Sichuan, Southwest China for risk management. A total of 3839 events of debris flow during 1949-2017 were compiled from the Sichuan Geo-Environment Monitoring program, field surveys, and satellite imagery interpretation. In the cross-validation, the GBM showed better performance, with the prediction accuracy of 82.0% and area under curve of 0.88, than the benchmark models, including the Logistic Regression, the K-Nearest Neighbor, the Support Vector Machine, and the Artificial Neural Network. The elevation range, precipitation, and aridity index played the most important role in determining the susceptibility. In addition, the water erosion intensity, road construction, channel gradient, and human settlement sites also largely contributed to the formation of debris flow. The susceptibility map produced by the GBM shows that the spatial distributions of high-susceptibility watersheds were highly coupled with the locations of the topographical extreme belt, fault zone, seismic belt, and dry valleys. This study provides critical information for risk mitigating and prevention of debris flow.
C1 [Di, Baofeng] Hongkong Polytech Univ, Inst Disaster Management & Reconstruct, Sichuan Univ, Chengdu 610200, Sichuan, Peoples R China.
   [Di, Baofeng; Zhang, Hanyue; Liu, Yongyao; Li, Jierui; Zhan, Yu] Sichuan Univ, Dept Environm Sci & Engn, Chengdu 610065, Sichuan, Peoples R China.
   [Chen, Ningsheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China.
   [Stamatopoulos, Constantine A.] Stamatopoulos & Associates Co, Athens 11471, Greece.
   [Stamatopoulos, Constantine A.] Hellen Open Univ, Athens 11471, Greece.
   [Luo, Yuzhou] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA.
   [Zhan, Yu] Sichuan Univ, Sinogerman Ctr Water & Hlth Res, Chengdu 610065, Sichuan, Peoples R China.
   [Zhan, Yu] Sichuan Univ, Med Big Data Ctr, Chengdu 610041, Sichuan, Peoples R China.
C3 Hong Kong Polytechnic University; Sichuan University; Sichuan
   University; Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Hellenic Open University; University of California
   System; University of California Davis; Sichuan University; Sichuan
   University
RP Zhan, Y (corresponding author), Sichuan Univ, Dept Environm Sci & Engn, Chengdu 610065, Sichuan, Peoples R China.; Zhan, Y (corresponding author), Sichuan Univ, Sinogerman Ctr Water & Hlth Res, Chengdu 610065, Sichuan, Peoples R China.; Zhan, Y (corresponding author), Sichuan Univ, Med Big Data Ctr, Chengdu 610041, Sichuan, Peoples R China.
EM yzhan@scu.edu.cn
TC 56
Z9 62
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD AUG 29
PY 2019
VL 9
AR 12532
DI 10.1038/s41598-019-48986-5
SC Science & Technology - Other Topics
UT WOS:000483017100011
ER

PT J
AU Intrieri, E
   Raspini, F
   Fumagalli, A
   Lu, P
   Del Conte, S
   Farina, P
   Allievi, J
   Ferretti, A
   Casagli, N
AF Intrieri, Emanuele
   Raspini, Federico
   Fumagalli, Alfio
   Lu, Ping
   Del Conte, Sara
   Farina, Paolo
   Allievi, Jacopo
   Ferretti, Alessandro
   Casagli, Nicola
TI The Maoxian landslide as seen from space: detecting precursors of
   failure with Sentinel-1 data
SO LANDSLIDES
DT Article
DE Landslide; SAR interferometry; Monitoring; Early warning; Sentinel-1
ID WENCHUAN EARTHQUAKE; SAR; INTERFEROMETRY; SCATTERERS; PREDICTION;
   SATELLITE
AB Post-event Interferometric Synthetic Aperture Radar (InSAR) analysis on a stack of 45 C-band SAR images acquired by the ESA Sentinel-1 satellites from 9 October 2014 to 19 June 2017 allowed the identification of a clear precursory deformation signal for the Maoxian landslide (Mao County, Sichuan Province, China). The landslide occurred in the early morning of 24 June 2017 and killed more than 100 people in the village of Xinmo. Sentinel-1 images have been processed through an advanced multi-interferogram analysis capable of maximising the density of measurement points, generating ground deformation maps and displacement time series for an area of 460 km(2) straddling the Minjiang River and the Songping Gully. InSAR data clearly show the precursors of the slope failure in the source area of the Maoxian landslide, with a maximum displacement rate detected of 27 mm/year along the line of sight of the satellite. Deformation time series of measurement points identified within the main scarp of the landslide exhibit an acceleration starting from April 2017. A detailed time series analysis leads to the classification of different deformation behaviours. The Fukuzono method for forecasting the time of failure appear to be applicable to the displacement data exhibiting progressive acceleration. Results suggest that satellite radar data, systematically acquired over large areas with short revisiting time, could be used not only as a tool for mapping unstable areas, but also for landslide monitoring, at least for some typologies of sliding phenomena.
C1 [Intrieri, Emanuele; Raspini, Federico; Casagli, Nicola] Univ Florence, Dept Earth Sci, Via G La Pira 4, I-50121 Florence, Italy.
   [Fumagalli, Alfio; Del Conte, Sara; Allievi, Jacopo; Ferretti, Alessandro] TRE ALTAMIRA, Ripa di Porta Ticinese 79, I-20143 Milan, Italy.
   [Lu, Ping] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China.
   [Farina, Paolo] Univ Florence, Geoapp Srl, Largo E Fermi 2, I-50125 Florence, Italy.
C3 University of Florence; Tongji University; University of Florence
RP Raspini, F (corresponding author), Univ Florence, Dept Earth Sci, Via G La Pira 4, I-50121 Florence, Italy.
EM federico.raspini@unifi.it
TC 333
Z9 381
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD JAN
PY 2018
VL 15
IS 1
BP 123
EP 133
DI 10.1007/s10346-017-0915-7
SC Engineering; Geology
UT WOS:000419461100010
ER

PT J
AU Wang, SG
   Fang, LH
   Chevalier, ML
   Li, HB
   Li, J
   Huang, LY
   Pan, JW
   Ran, HM
   Liang, P
   Fan, LP
   Yao, Y
AF Wang, Shiguang
   Fang, Lihua
   Chevalier, Marie-Luce
   Li, Haibing
   Li, Jun
   Huang, Luyuan
   Pan, Jiawei
   Ran, Huimin
   Liang, Peng
   Fan, Liping
   Yao, Yuan
TI Seismogenic fault model of the 2024 Mw 7.0 Wushi earthquake,
   western China, from geomorphology and aftershock relocation
SO GEOLOGICAL SOCIETY OF AMERICA BULLETIN
DT Article; Early Access
ID DAY CRUSTAL DEFORMATION; SOUTHWESTERN TIAN-SHAN; BLIND-THRUST-FAULT;
   TIEN-SHAN; WENCHUAN EARTHQUAKE; CENOZOIC TECTONICS; NORTHWESTERN CHINA;
   RUPTURE PROCESS; STRESS CHANGES; TARIM BASIN
AB The 23 January 2024 moment magnitude (M-w) 7.0 Wushi earthquake, the largest instrumentally recorded event in the SW Tian Shan of Xinjiang, western China, provides a rare opportunity to investigate the complex fault geometry within this active fold-andthrust belt. Using high-resolution uncrewed aerial vehicle imagery, field investigation, remote sensing analysis, and relocation of the aftershock sequence, we study the seismogenic fault and associated structures. Surface cracks observed along the pre-existing fault scarp align with branches of the north and south Maidan fault, suggesting that both fault segments accommodated seismic energy during the mainshock. Analysis of pre-and post-earthquake satellite imagery reveals an ENE-trending,-4-km-long co-seismic surface rupture produced by the M(w )5.7 aftershock on 30 January, exhibiting a maximum vertical displacement of at least-1.3 m. Aftershock relocations of 4738 events within 40 days define a NE-SW-trending seismic zone extending over-70 km at depths <25 km. Focal depth distributions and surface rupture characteristics further indicate the activation of two south-dipping back-thrusts, reflecting the out-of-sequence thrusting of the Maidan fault system. These back-thrusts, along with the northern and southern branches of the Maidan fault, form two distinct pop-up structures. Given the irregular earthquake recurrence intervals and out-ofsequence faulting in the SW Tian Shan, additional investigations are essential for refining regional seismic hazard assessments.
C1 [Wang, Shiguang; Li, Jun; Huang, Luyuan; Fan, Liping] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
   [Wang, Shiguang] Beijing Baijiatuan Earth Sci Natl Observat & Res S, Beijing 100095, Peoples R China.
   [Fang, Lihua; Liang, Peng] China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100081, Peoples R China.
   [Chevalier, Marie-Luce; Li, Haibing; Pan, Jiawei] Chinese Acad Geol Sci, Inst Geol, Key Lab Continental Dynam, Minist Nat Resources, Beijing 100037, Peoples R China.
   [Ran, Huimin; Yao, Yuan] Earthquake Agcy Xinjiang Uygur Autonomous Reg, Urumqi 830011, Xinjiang, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA; China
   Earthquake Administration; Institute of Earthquake Forecasting, CEA;
   Ministry of Natural Resources of the People's Republic of China; China
   Geological Survey; Institute of Geology, Chinese Academy of Geological
   Sciences; Chinese Academy of Geological Sciences
RP Fang, LH (corresponding author), China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100081, Peoples R China.; Chevalier, ML (corresponding author), Chinese Acad Geol Sci, Inst Geol, Key Lab Continental Dynam, Minist Nat Resources, Beijing 100037, Peoples R China.
EM flh@cea-igp.ac.cn; mlchevalier@hotmail.com
TC 0
Z9 0
PU GEOLOGICAL SOC AMER, INC
PI BOULDER
PA PO BOX 9140, BOULDER, CO 80301-9140 USA
SN 0016-7606
EI 1943-2674
PD 2025 NOV 14
PY 2025
DI 10.1130/B38356.1
EA NOV 2025
SC Geology
UT WOS:001618017300001
ER

PT J
AU Hu, GS
   Chen, NS
   Tanoli, JI
   Liu, M
   Liu, RK
   Chen, KT
AF Hu, Gui-sheng
   Chen, Ning-sheng
   Tanoli, Javed Iqbal
   Liu, Mei
   Liu, Rong-Kun
   Chen, Kun-Ting
TI Debris flow susceptibility analysis based on the combined impacts of
   antecedent earthquakes and droughts: a case study for cascade hydropower
   stations in the upper Yangtze River, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Hydropower stations; Debris flow susceptibility; Earthquake; Drought;
   Geological Information System(GIS); Upper Yangtze River
ID WENCHUAN EARTHQUAKE; GIS; WEIGHTS; MODELS
AB The upper Yangtze River region is one of the most frequent debris flow areas in China. The study area contains a cascade of six large hydropower stations located along the river with total capacity of more than 70 million kilowatts. The purpose of the study was to determine potential and dynamic differences in debris flow susceptibility and intensity with regard to seasonal monsoon events. We analyzed this region's debris flow history by examining the effective peak acceleration of antecedent earthquakes, the impacts of antecedent droughts, the combined effects of earthquakes and droughts, with regard to topography, precipitation, and loose solid material conditions. Based on these factors, we developed a debris flow susceptibility map. Results indicate that the entire debris flow susceptibility area is 167,500 km(2), of which 26,800 km(2) falls within the high susceptibility area, with 60,900 km(2) in medium and 79,800 km(2) are in low susceptibility areas. Three of the six large hydropower stations are located within the areas with high risk of debris flows. The synthetic zonation map of debris flow susceptibility for the study area corresponds with both the investigation data and actual distribution of debris flows. The results of debris flow susceptibility provide base-line data for mitigating, assessing, controlling and monitoring of debris flows hazards.
C1 [Hu, Gui-sheng; Chen, Ning-sheng; Tanoli, Javed Iqbal; Liu, Mei; Chen, Kun-Ting] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Tanoli, Javed Iqbal] COMSATS Inst Informat Technol, Dept Earth Sci, Abbottabad 22060, Pakistan.
   [Liu, Rong-Kun] Ohio State Univ, Sch Environm & Nat Resources, Columbus, OH 43210 USA.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; COMSATS University Islamabad (CUI); University System
   of Ohio; Ohio State University
RP Chen, NS (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
EM huguisheng@imde.ac.cn; chennsh@imde.ac.cn; javedtanoli@gmail.com;
   lmeimei90@163.com; cotineliu@qq.com; kuntingchen@gmail.com
TC 10
Z9 12
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD SEP
PY 2017
VL 14
IS 9
BP 1712
EP 1727
DI 10.1007/s11629-017-4375-1
SC Environmental Sciences & Ecology
UT WOS:000409490000004
ER

PT J
AU Liu, XM
   Chen, JQ
   Chen, JS
   Jin, HX
AF Liu, Xiangmei
   Chen, Jiaqi
   Chen, Jiansheng
   Jin, Haixia
TI Shrinking lakes of rift valley system in southern Tibet: Is it the
   climate?
SO SCIENCE OF THE TOTAL ENVIRONMENT
DT Article
DE Remote sensing; Tibetan Plateau; Duoqing Co; Water leakage; Rift zone
ID GROUNDWATER LEVEL; PERMANENT SCATTERERS; WENCHUAN EARTHQUAKE; EVOLUTION;
   PLATEAU; CHINA; CO
AB In the context of global warming, the plateau lakes generally expand, but some lakes in the southern Tibetan Plateau appear to shrinkage, such as Duoqing Co Lake. We analyzed Duoqing Co which is located on the Yadong-Gulu Rift zone and two surrounding lakes using satellite and meteorological data. Optical and radar images were used to construct a time series of these lakes from 1988 to 2021. By comparing the area changes of surrounding lakes, it is found that Como Chamling Lake has shrunk, while Puma Yum Co Lake has shown an expansion trend. The interference deforma-tion results show that both sides of the Yadong-Gulu Rift zone where the Duoqing Co Lake is located have experienced strong uplift and subsidence, sinking in the east and uplifting in the west. Under the northward compression of the Indian plate, the blocks on both sides of the Yadong-Gulu Rift zone have been relatively displaced. The disappearance of Duoqing Co Lake could be attributed to the existence of leakage channels in the Yadong-Gulu Rift zone. The north -south rift zones of the Tibetan Plateau pass through the Qiangtang Basin, and some lakes in this basin are shrinking, which could be related to the leakage of these rift zones. This work provides a new perspective for studying lake changes on the Tibetan Plateau and is a good reference for studying the lake water cycle on the plateau.
C1 [Liu, Xiangmei; Chen, Jiaqi; Jin, Haixia] Hohai Univ, Sch Comp & Informat, Nanjing 211100, Peoples R China.
   [Chen, Jiaqi] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100190, Peoples R China.
   [Chen, Jiansheng] Hohai Univ, Sch Earth Sci & Engn, Nanjing 211100, Peoples R China.
C3 Hohai University; Chinese Academy of Sciences; Aerospace Information
   Research Institute, CAS; Hohai University
RP Chen, JQ (corresponding author), Hohai Univ, Sch Comp & Informat, Nanjing 211100, Peoples R China.
EM jiaqichen@hhu.edu.cn
TC 7
Z9 10
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0048-9697
EI 1879-1026
PD FEB 1
PY 2023
VL 858
AR 160016
DI 10.1016/j.scitotenv.2022.160016
EA NOV 2022
PN 3
SC Environmental Sciences & Ecology
UT WOS:000905229500014
ER

PT J
AU Chen, XL
   Lan, J
AF Chen, Xiaoli
   Lan, Jian
TI Impact of slope stability changes on landslide activity near the
   epicenter of the 2008 Wenchuan Ms8.0 earthquake, China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Co-seismic landslides; Post-seismic landslides; Slope stability; Newmark
   model; Remote sensing
ID RAINFALL-INDUCED LANDSLIDES; SPATIAL-DISTRIBUTION; AREA; EVOLUTION;
   SICHUAN; MODEL; FAULT; SIZE; NORTHRIDGE; TRANSPORT
AB Strong earthquakes in mountainous regions can trigger massive landslides, and not just during the period of shaking. This study uses a time series of remote images to better understand the distribution of landslides near the epicenter of the 2008 Wenchuan Ms8.0 earthquake. We use multi-year high-resolution satellite images to interpret landslides and establish landslide inventories spanning from 2008 to 2019. Based on differencing pre-earthquake and post-earthquake digital elevation models (DEMs), we calculate the factor of safety (F-s, i.e., resisting forces versus driving forces) of slopes using a simplified Newmark model. Results show that landslide occurrence highly relies on slope stability, demonstrated by both co-seismic and post-seismic landslide mapping. According to the F-s analysis, which is closely related to the gradual slope change after the earthquake, most slopes within the study area stabilized after the 2008 Wenchuan earthquake, consistent with the decreasing trend of the landslide activity level. However, due to lithologic variation, the changes of post-earthquake slope stability may differ with landscape features in various regions and result in different geologic hazards. Thus, we highlight the necessity of continuous post-seismic monitoring and analysis of slope stability in different affected regions. The results of this work provide useful information for post-seismic infrastructure reconstruction and future earthquake disaster prevention in mountainous areas.
C1 [Chen, Xiaoli; Lan, Jian] China Earthquake Adm, Key Lab Seism & Volcan Hazards, Beijing 100029, Peoples R China.
   [Chen, Xiaoli; Lan, Jian] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; China Earthquake Administration;
   Institute of Geology, CEA
RP Chen, XL (corresponding author), China Earthquake Adm, Key Lab Seism & Volcan Hazards, Beijing 100029, Peoples R China.; Chen, XL (corresponding author), China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
EM chenxl@ies.ac.cn
TC 5
Z9 6
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD JUL
PY 2021
VL 80
IS 7
BP 5259
EP 5270
DI 10.1007/s10064-021-02147-z
EA MAY 2021
SC Engineering; Geology
UT WOS:000646488900001
ER

PT J
AU Huang, YD
   Yao, LK
AF Huang, Yidan
   Yao, Lingkan
TI Size distribution law of earthquake-triggered landslides in different
   seismic intensity zones
SO NONLINEAR PROCESSES IN GEOPHYSICS
DT Article
AB The M-s 8.0 Wenchuan earthquake in 2008 and M-s 7.0 Lushan earthquake in 2013 produced thousands of landslides in the southern region of the Longmen Mountains in China. We conducted field investigations and analyzed remote sensing data to determine the distribution law of earthquake-triggered landslides. The results show a strong negative power law relationship between the size and frequency of landslides in VII, VIII, and IX seismic intensity zones, a weak power law in the X seismic intensity zone, and a lognormal distribution in the XI seismic intensity zone. Landslide density increases with increasing seismic intensity. A sandpile cellular automata model was built under the conceptual framework of self-organized criticality theory to simulate earthquake-induced landslides. Data from the simulations demonstrate that, with increasing disturbance intensity, the dynamical mechanism of the sandpile model changes from a strong power law to a weak power law and then to a lognormal distribution. Results from shaking table experiments of a one-sided slope sandpile show that, for peak ground acceleration (PGA) in the range of 0.075-0.125 g, the relation between the amount and frequency of sand follows a negative power law. For PGA between 0.15 and 0.25 g, the relation obeys a lognormal distribution. This verifies that the abovementioned distribution of earthquake-induced landslides should be a universal law from a physical viewpoint and may apply to other areas. This new perspective may be used to guide the development of an inventory of earthquake-triggered landslides and provide a scientific basis for their prediction.
C1 [Huang, Yidan; Yao, Lingkan] Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Peoples R China.
   [Huang, Yidan; Yao, Lingkan] MOE Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China.
   [Huang, Yidan; Yao, Lingkan] Natl Engn Lab Technol Geol Disaster Prevent Land, Chengdu 610031, Peoples R China.
C3 Southwest Jiaotong University
RP Yao, LK (corresponding author), Southwest Jiaotong Univ, Sch Civil Engn, Chengdu 610031, Peoples R China.; Yao, LK (corresponding author), MOE Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China.; Yao, LK (corresponding author), Natl Engn Lab Technol Geol Disaster Prevent Land, Chengdu 610031, Peoples R China.
EM yaolk@swjtu.edu.cn
TC 12
Z9 14
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1023-5809
EI 1607-7946
PD APR 16
PY 2021
VL 28
IS 1
BP 167
EP 179
DI 10.5194/npg-28-167-2021
SC Geology; Mathematics; Meteorology & Atmospheric Sciences; Physics
UT WOS:000641181000001
ER

PT J
AU Zhou, HF
   Ye, F
   Fu, WX
   Liu, B
   Fang, T
   Li, R
AF Zhou, Hongfu
   Ye, Fei
   Fu, Wenxi
   Liu, Bin
   Fang, Tian
   Li, Rui
TI Dynamic Effect of Landslides Triggered by Earthquake: A Case Study in
   Moxi Town of Luding County, China
SO JOURNAL OF EARTH SCIENCE
DT Article
DE dynamic effect; coupling of endogenic and exogenic processes;
   landslides; earthquakes; disaster prevention
ID EASTERN HIMALAYAN SYNTAXIS; 2008 WENCHUAN EARTHQUAKE; FAULT-ZONE;
   SPATIAL-DISTRIBUTION; TIBETAN PLATEAU; SLOPE; HAZARDS; FRACTURE; REGION;
   DAMAGE
AB The dynamic effect is a very important issue widely debated by scholars when studying the genetic and disaster-causing mechanisms of earthquake-triggered landslides. First, the dynamic effect mechanism and phenomena of earthquake-triggered landslides were summarized in this paper. Then, the primary types of dynamic effects were further used to interpret the Mogangling landslide in Moxi Town of Luding County, China. A field investigation, remote sensing, numerical calculation and theoretical analysis were carried out to illustrate the failure mechanism of slope rock masses affected by earthquakes. The interaction between seismic waves and slope rock masses and the induced dynamic effect of slope rock masses were primarily accounted for in the analysis. The slope topography, rock mass weathering and unloading characteristics, river erosion, regional seismogenic structure, and rock mass structure characteristics were also discussed. The results showed that the formation of the Mogangling landslide was mainly related to the high amplification effect of seismic acceleration and back slope effects, interface dynamic stress effects, and double-sided slope effects of seismic waves caused by the catastrophic Ms 7.75 Moxi Earthquake in 1786. The principles for the site and route selection of large-scale infrastructure in the planning stage and the scientific prevention of seismic geological disasters were proposed on the basis of the dynamic effect of earthquake-induced landslides.
C1 [Zhou, Hongfu; Fang, Tian; Li, Rui] China Geol Survey, Chengdu Ctr, Chengdu 610081, Peoples R China.
   [Ye, Fei; Fu, Wenxi] Sichuan Univ, State Key Lab Hydraul & Mt Rivers Protect, Chengdu 610065, Peoples R China.
   [Liu, Bin] Sichuan Geol Survey, Chengdu 610081, Peoples R China.
   [Fang, Tian; Li, Rui] Shandong Univ Sci & Technol, Qingdao 266590, Peoples R China.
C3 China Geological Survey; Chengdu Center, China Geological Survey;
   Sichuan University; Shandong University of Science & Technology
RP Zhou, HF (corresponding author), China Geol Survey, Chengdu Ctr, Chengdu 610081, Peoples R China.
EM zhf800726@163.com
TC 19
Z9 19
PU CHINA UNIV GEOSCIENCES, WUHAN
PI WUHAN
PA 388 LIMO RD, WUHAN, CHINA MAINLAND 430074, PEOPLES R CHINA
SN 1674-487X
EI 1867-111X
PD FEB
PY 2024
VL 35
IS 1
BP 221
EP 234
DI 10.1007/s12583-022-1806-y
SC Geology
UT WOS:001162401600027
ER

PT J
AU Yan, KM
   Wang, FW
   Fan, G
   Liu, Y
   Nam, K
   Zhang, B
AF Yan, Kongming
   Wang, Fawu
   Fan, Gang
   Liu, Yang
   Nam, Kounghoon
   Zhang, Bo
TI The Azijue debris flow induced by rainfall on 30 August 2020 in Ganluo
   County, Sichuan Province, southwestern China
SO LANDSLIDES
DT Article
DE Debris flow; Geo-hazard chain; Rainfall; Mountainous region
ID WENCHUAN EARTHQUAKE; MECHANISMS
AB At about 8:00 p.m. local time on 30 August 2020, a large-scale debris flow with an estimated volume of 3.2 million m(3) struck Azijue Village in north-eastern Ganluo County, Sichuan Province, China. The debris flow killed three residents, buried two villages, damaged a local middle school, crushed three bridges, and interrupted a significant transportation line (the Chengdu-Kunming Railway) for 14 days. This catastrophic debris flow was successfully detected by local residents 2 h before the final large-volume deposits arrived, which provided enough time for most of the residents to evacuate ahead of the deadly geohazard. To characterise the evolution process of the Azijue debris flow, a detailed field investigation was conducted with the aid of remote sensing technology. The results demonstrated that the debris flow, which had a high viscosity and large density, was part of a geohazard chain. Localised precipitation in a high-relief mountainous area primarily dominated by a subtropical monsoon climate was the main triggering factor for the debris flow. Thick ancient diluvial deposit in the debris flow gully was one of the main environmental factors that facilitated the rapid mass enlargement and long-runout movement of the debris flow. The catastrophic downstream loss of lives and infrastructure can be attributed to a major secondary landslide that originated at the end of the second sub-horizontal diluvial platform and initiated by the combined effect of continuous rainfall, top overloading, and toe cutting by the rapid and dense debris flow.
C1 [Yan, Kongming; Wang, Fawu; Nam, Kounghoon; Zhang, Bo] Tongji Univ, Coll Civil Engn, Shanghai 200092, Peoples R China.
   [Wang, Fawu] Tongji Univ, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai 200092, Peoples R China.
   [Fan, Gang] Sichuan Univ, Coll Water Resource & Hydropower, Chengdu 610065, Peoples R China.
   [Liu, Yang] Sichuan Normal Univ, Inst Technol, Chengdu 610101, Peoples R China.
C3 Tongji University; Tongji University; Sichuan University; Sichuan Normal
   University
RP Wang, FW (corresponding author), Tongji Univ, Coll Civil Engn, Shanghai 200092, Peoples R China.; Wang, FW (corresponding author), Tongji Univ, Minist Educ, Key Lab Geotech & Underground Engn, Shanghai 200092, Peoples R China.
EM wangfw@tongji.edu.cn
TC 11
Z9 11
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD APR
PY 2023
VL 20
IS 4
BP 771
EP 788
DI 10.1007/s10346-022-02022-2
EA JAN 2023
SC Engineering; Geology
UT WOS:000922247400001
ER

PT J
AU Bai, XF
   Dai, YQ
   Zhou, QY
   Yang, ZQ
AF Bai, Xianfu
   Dai, Yuqian
   Zhou, Qingyun
   Yang, Zhiquan
TI An MDT-based rapid assessment method for the spatial distribution of
   trafficable sections of roads hit by earthquake-induced landslides
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE rapid assessment; road trafficability; earthquake-induced landslides;
   multivariate decision tree; model
ID LOGISTIC-REGRESSION MODEL; 2008 WENCHUAN EARTHQUAKE; GIS; HAZARD;
   SUSCEPTIBILITY; SCALE
AB In mountainous areas, roads are often damaged by earthquake-induced landslides (EL). The degree of road damage and the existing functional state will have a very important impact on the whole earthquake relief work. However, this question has long been plaguing scientists engaged in the risk assessment. Now, an MDT-based rapid assessment method for the spatial distribution of trafficable sections of roads (TSR) hit by EL is proposed. The method mainly consists of three procedures: 1) Demarcate the road sections in the evaluated region; 2) Create the data for earthquake-induced landslide sensitivity level for the evaluated region; 3) Use the sample data to devise the MDT model for the TSR hit by EL and calculate the trafficability of road sections. This method was applied in the study of the 2008 Wenchuan Ms 8.0, the 2014 Ludian Ms 6.5, the 2012 Yiliang Ms 5.6 and Ms 5.7 earthquake-stricken regions. The case of Wenchuan earthquake was adopted to establish the method. The cares of Ludian and Yiliang were used to evaluate whether the method could be transplanted into similar regions. The p-value and the kappa coefficient were used to test and evaluate the significance and the consistence of the actual situation. Our results suggest: ⅰ) The Wenchuan evaluated region had the p-value 2.52 x 10-203 and the kappa coefficient 0.91. Less than 1% of the road sections that were inferred to be trafficable with the established method were actually interrupted by EL. The interruptions in the road sections that were inferred to be un-trafficable were 12 times of those in the other road sections. ⅱ) The Ludian and Yiliang earthquake-stricken regions had the p-value 9.7 x 10-107 and the kappa coefficient 0.81. Only 1.31% of the road sections that were trafficable according to the calculation results of the model had been actually interrupted by EL. The interruptions caused by EL in the un-trafficable road sections according to the calculation results were 5.2 times of those in the trafficable road sections. This method could be applied in other similar regions when a certain error was permitted.
C1 [Bai, Xianfu; Zhou, Qingyun] China Earthquake Adm, Kunming Inst Earthquake Predict, Kunming, Peoples R China.
   [Bai, Xianfu; Zhou, Qingyun] Yunnan Earthquake Agcy, Kunming, Peoples R China.
   [Dai, Yuqian] Earthquake & Disaster Reduct Bur Xishan Dist, Kunming, Peoples R China.
   [Yang, Zhiquan] Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Peoples R China.
C3 China Earthquake Administration; China Earthquake Administration; Yunnan
   Earthquake Agency, CEA; Kunming University of Science & Technology
RP Bai, XF (corresponding author), China Earthquake Adm, Kunming Inst Earthquake Predict, Kunming, Peoples R China.; Bai, XF (corresponding author), Yunnan Earthquake Agcy, Kunming, Peoples R China.; Yang, ZQ (corresponding author), Kunming Univ Sci & Technol, Fac Publ Safety & Emergency Management, Kunming, Peoples R China.
EM 282961394@qq.com; yzq1983816@kust.edu.cn
TC 0
Z9 0
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD OCT 18
PY 2023
VL 11
AR 1287577
DI 10.3389/feart.2023.1287577
SC Geology
UT WOS:001090689500001
ER

PT J
AU Chen, XY
   Guo, YG
AF Chen, Xiangyu
   Guo, Yonggang
TI Seismic Hazard Loss Assessment of Reservoir Dams Based on Random Forest
   Algorithm
SO NATURAL HAZARDS REVIEW
DT Article
DE Reservoir dams; Optimized random forests; Evaluation of earthquake
   damage levels; Disaster damage assessment
ID DISASTER LOSS; EARTH DAMS; GIS
AB Reservoir dams can have a significant impact on social production and daily life in the aftermath of earthquakes. Therefore, it is crucial to implement prompt and effective seismic damage assessment and emergency disposal programs for reservoir dams following seismic events. This paper combines the information of reservoir damage data of the Wenchuan earthquake, takes the reservoir dam as the main research body, analyzes the type of damage, formulates the water conservancy project seismic damage evaluation level, and selects 17 influence factors to establish a sample data set. The sample data are preprocessed first, stratified sampling is used for sample splitting cross validation, and parameter tuning is performed through random search. The optimized random forest algorithm model was compared with three regression algorithms to plot the R2 (determination coefficient) curve. The optimized random forest had the highest determination coefficient (0.84), indicating that it performed the best in predicting the reservoir dam seismic damage level. The loss ratio of the main project of the reservoir dam was calculated using the predicted earthquake damage level from the model. Subsequently, the direct economic loss was determined by considering the total cost of the main project within the designated assessment area.
C1 [Chen, Xiangyu] Tibet Coll Agricultureand Anim Husb, Sch Hydraul & Civil Engn, 8 Xueyuan Rd,Jemu St, Linzhi City, Tibet Autonomou, Peoples R China.
   [Guo, Yonggang] Tibet Coll Agr & Anim Husb, Sch Water Resources & Civil Engn, 8 Coll Rd,Jemu St, Linzhi City, Tibet Autonomou, Peoples R China.
C3 Xizang Agricultural & Animal Husbandry University
RP Chen, XY (corresponding author), Tibet Coll Agricultureand Anim Husb, Sch Hydraul & Civil Engn, 8 Xueyuan Rd,Jemu St, Linzhi City, Tibet Autonomou, Peoples R China.
EM 1835461087@qq.com; 1960373107@qq.com
TC 1
Z9 1
PU ASCE-AMER SOC CIVIL ENGINEERS
PI RESTON
PA 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400 USA
SN 1527-6988
EI 1527-6996
PD AUG 1
PY 2025
VL 26
IS 3
AR 04025034
DI 10.1061/NHREFO.NHENG-2111
SC Engineering; Environmental Sciences & Ecology; Geology; Meteorology &
   Atmospheric Sciences; Water Resources
UT WOS:001509491700003
ER

PT J
AU Perrin, C
   Manighetti, I
   Ampuero, JP
   Cappa, F
   Gaudemer, Y
AF Perrin, Clement
   Manighetti, Isabelle
   Ampuero, Jean-Paul
   Cappa, Frederic
   Gaudemer, Yves
TI Location of largest earthquake slip and fast rupture controlled by
   along-strike change in fault structural maturity due to fault growth
SO JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
DT Article
ID NORTH ANATOLIAN FAULT; SAN-JACINTO FAULT; SOMALIA PLATE BOUNDARY; AUGUST
   1999 IZMIT; LATERAL PROPAGATION; SEGMENT LINKAGE; ANDREAS FAULT;
   WENCHUAN EARTHQUAKE; DYNAMIC RUPTURE; CENTRAL OTAGO
AB Earthquake slip distributions are asymmetric along strike, but the reasons for the asymmetry are unknown. We address this question by establishing empirical relations between earthquake slip profiles and fault properties. We analyze the slip distributions of 27 large continental earthquakes in the context of available information on their causative faults, in particular on the directions of their long-term lengthening. We find that the largest slips during each earthquake systematically occurred on that half of the ruptured fault sections most distant from the long-term fault propagating tips, i.e., on the most mature half of the broken fault sections. Meanwhile, slip decreased linearly over most of the rupture length in the direction of long-term fault propagation, i.e., of decreasing structural maturity along strike. We suggest that this earthquake slip asymmetry is governed by along-strike changes in fault properties, including fault zone compliance and fault strength, induced by the evolution of off-fault damage, fault segmentation, and fault planarity with increasing structural maturity. We also find higher rupture speeds in more mature rupture sections, consistent with predicted effects of low-velocity damage zones on rupture dynamics. Since the direction(s) of long-term fault propagation can be determined from geological evidence, it might be possible to anticipate in which direction earthquake slip, once nucleated, may increase, accelerate, and possibly lead to a large earthquake. Our results could thus contribute to earthquake hazard assessment and Earthquake Early Warning.
C1 [Perrin, Clement; Manighetti, Isabelle; Cappa, Frederic] Univ Nice Sophia Antipolis, Observ Cote Azur, CNRS, Geoazur UMR7329, Sophia Antipolis, France.
   [Perrin, Clement] Columbia Univ, Lamont Doherty Earth Observ, New York, NY 10027 USA.
   [Ampuero, Jean-Paul] CALTECH, Seismol Lab, Pasadena, CA 91125 USA.
   [Cappa, Frederic] Inst Univ France, Paris, France.
   [Gaudemer, Yves] Univ Paris 07, Inst Phys Globe Paris, Sorbonne Paris Cite, CNRS, Paris, France.
C3 Universite Cote d'Azur; Observatoire de la Cote d'Azur; Centre National
   de la Recherche Scientifique (CNRS); CNRS - National Institute for Earth
   Sciences & Astronomy (INSU); Columbia University; California Institute
   of Technology; Institut Universitaire de France; Universite Paris Cite;
   Centre National de la Recherche Scientifique (CNRS)
RP Perrin, C (corresponding author), Univ Nice Sophia Antipolis, Observ Cote Azur, CNRS, Geoazur UMR7329, Sophia Antipolis, France.; Perrin, C (corresponding author), Columbia Univ, Lamont Doherty Earth Observ, New York, NY 10027 USA.
EM cperrin@ldeo.columbia.edu
TC 232
Z9 254
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9313
EI 2169-9356
PD MAY
PY 2016
VL 121
IS 5
BP 3666
EP 3685
DI 10.1002/2015JB012671
SC Geochemistry & Geophysics
UT WOS:000381626900028
ER

PT J
AU Tanyas, H
   Kirschbaum, D
   Lombardo, L
AF Tanyas, Hakan
   Kirschbaum, Dalia
   Lombardo, Luigi
TI Capturing the footprints of ground motion in the spatial distribution of
   rainfall-induced landslides
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslides; Earthquakes; Rainfall; Post-seismic landslide susceptibility
ID 2008 WENCHUAN EARTHQUAKE; REAL-TIME PREDICTION; SUSCEPTIBILITY MODELS;
   EVOLUTION; FAILURE; AREA
AB The coupled effect of earthquakes and rainfall is rarely investigated in landslide susceptibility assessments although it could be crucial to predict landslide occurrences. This is even more critical in the context of early warning systems and especially in cases of extreme precipitation regimes in post-seismic conditions, where the rock masses are already damaged due to the ground shaking. Here, we investigate this concept by accounting for the legacy of seismic ground shaking in rainfall-induced landslide (RFIL) scenarios. We do this to identify whether ground shaking plays a role in the susceptibility to post-seismic rainfall-induced landslides and to identify whether this legacy effect persists through time. With this motivation, we use binary logistic regression and examine time series of landslides associated with four earthquakes occurred in Indonesia: 2012 Sulawesi (M-w = 6.3), 2016 Reuleut (M-w = 6.5), 2017 Kasiguncu (M-w = 6.6) and 2018 Palu (M-w = 7.5) earthquakes. The dataset includes one co-seismic and three post-seismic landslide inventories for each earthquake. We use the peak ground acceleration map of the last strongest earthquake in each case as a predisposing factor of landslides representing the effect of ground shaking. We observe that, at least for the study areas under consideration and in a probabilistic context, the earthquake legacy contributes to increase the post-seismic RFIL susceptibility. This positive contribution decays through time. Specifically, we observe that ground motion is a significant predisposing factor controlling the spatial distribution of RFIL in the post-seismic period 110 days after an earthquake. We also show that this effect dissipates within 3 years at most.
C1 [Tanyas, Hakan; Lombardo, Luigi] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Tanyas, Hakan; Kirschbaum, Dalia] NASA, Hydrol Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.
   [Tanyas, Hakan] Univ Space Res Assoc, USRA, Columbia, MD 21046 USA.
C3 University of Twente; National Aeronautics & Space Administration
   (NASA); NASA Goddard Space Flight Center; Universities Space Research
   Association (USRA)
RP Tanyas, H (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.; Tanyas, H (corresponding author), NASA, Hydrol Sci Lab, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA.; Tanyas, H (corresponding author), Univ Space Res Assoc, USRA, Columbia, MD 21046 USA.
EM h.tanyas@utwente.nl
TC 28
Z9 30
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD JUN
PY 2021
VL 80
IS 6
BP 4323
EP 4345
DI 10.1007/s10064-021-02238-x
EA APR 2021
SC Engineering; Geology
UT WOS:000640852100002
ER

PT J
AU Su, YL
   Rong, GZ
   Ma, YN
   Chi, JW
   Liu, XP
   Zhang, JQ
   Li, TT
AF Su, Yulin
   Rong, Guangzhi
   Ma, Yining
   Chi, Junwen
   Liu, Xingpeng
   Zhang, Jiquan
   Li, Tiantao
TI Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning-A
   Case Study of Mao County, Sichuan Province
SO FRONTIERS IN EARTH SCIENCE
DT Review
DE hazard assessment; earthquake disaster chains; geological disasters;
   deep neural networks (DNN) model; machine learning
ID WENCHUAN EARTHQUAKE; RISK-ASSESSMENT; LANDSLIDE; DECISION; ZONE; TREE;
   GIS
AB Chain disasters often cause greater casualties and economic losses than single disasters. It plays an important role in the prevention and control to draw the susceptibility map and hazard map of geological hazards. To the best of our knowledge, the existing models are not suitable for the study of earthquake-geological disaster chains. Therefore, this study aims to establish a DNN model suitable for the study of earthquake-geological disaster chains. Firstly, nine key factors affecting geological disasters were selected and multi-source data sets were established based on geological disaster points in the study area. Secondly, the DNN model is trained to calculate the susceptibility of landslides and is discussed with the Support Vector Machine (SVM) model, Logistic Regression (LR) model, and Random Forest (RF) model. Finally, verify with the ROC curve. The verification results show that the DNN model has the highest accuracy among the proposed models. It is suitable for drawing geological hazard susceptibility maps and hazard maps. Therefore, it is proved that the model can be applied for the prediction of chain disasters and is a promising tool for geological hazard assessment.
C1 [Su, Yulin; Rong, Guangzhi; Ma, Yining; Liu, Xingpeng; Zhang, Jiquan] Northeast Normal Univ, Sch Environm, Changchun, Peoples R China.
   [Su, Yulin; Rong, Guangzhi; Ma, Yining; Liu, Xingpeng; Zhang, Jiquan] Northeast Normal Univ, Inst Nat Disaster Res, Changchun, Peoples R China.
   [Su, Yulin; Rong, Guangzhi; Ma, Yining; Liu, Xingpeng; Zhang, Jiquan] Minist Educ, Key Lab Vegetat Ecol, Changchun, Peoples R China.
   [Chi, Junwen] Northeast Normal Univ, Sch Informat Sci & Technol, Changchun, Peoples R China.
   [Li, Tiantao] Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu, Peoples R China.
   [Li, Tiantao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geo Environm Pro, Chengdu, Peoples R China.
C3 Northeast Normal University - China; Northeast Normal University -
   China; Northeast Normal University - China; Chengdu University of
   Technology; Chengdu University of Technology
RP Liu, XP; Zhang, JQ (corresponding author), Northeast Normal Univ, Sch Environm, Changchun, Peoples R China.; Liu, XP; Zhang, JQ (corresponding author), Northeast Normal Univ, Inst Nat Disaster Res, Changchun, Peoples R China.; Liu, XP; Zhang, JQ (corresponding author), Minist Educ, Key Lab Vegetat Ecol, Changchun, Peoples R China.
EM Liuxp912@nenu.edu.cn; Zhangjq022@nenu.edu.cn
TC 16
Z9 17
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD MAY 17
PY 2022
VL 9
AR 683903
DI 10.3389/feart.2021.683903
SC Geology
UT WOS:000803979900001
ER

PT J
AU Hu, XD
   Shen, YT
   Hu, KH
   Xu, WN
   Liu, DX
   He, ST
   Gao, JZ
   Wei, L
   Liu, S
AF Hu, Xudong
   Shen, Yitong
   Hu, Kaiheng
   Xu, Wennian
   Liu, Daxiang
   He, Songtang
   Gao, Jiazhen
   Wei, Li
   Liu, Shuang
TI Quantifying the impact of earthquakes and geological factors on spatial
   heterogeneity of debris-flow prone areas: A case study in the Hengduan
   Mountains
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE debris-flow prone areas; causal factors; GIS-based method; spatial
   heterogeneity; Hengduan Mountains
ID SUSCEPTIBILITY ASSESSMENT; WENCHUAN EARTHQUAKE; LANDSLIDES
AB Understanding the spatial heterogeneity of debris-flow-prone areas holds significant implications for regional risk management, particularly in seismically active regions with geological faults. Despite the significance of this knowledge, a comprehensive quantification of the influence of regional topographical and geological factors on the spatial heterogeneity of debris-flow-prone areas has been lacking. This study selected the Hengduan Mountains, an earthquake-prone region characterized by diverse surface conditions and complex landforms, as a representative study area. An improved units zoning and objective factors identification methodology was employed in earthquake and fault analysis to assess the impact of seismic activity and geological factors on spatial heterogeneity of debris-flow prone areas. Results showed that the application of GIS technology with hydrodynamic intensity and geographical units analysis can effectively analyze debris-flow prone areas. Meanwhile, earthquake and fault zones obviously increase the density of debris-flow prone catchments and make them unevenly distributed. The number of debris-flow prone areas shows a nonlinear variation with the gradual increase of geomorphic factor value. Specifically, the area with 1000 m-2500 m elevation difference, 25 degrees-30 degrees average slope, and 0.13-0.15 land use index is the most favorable conditions for debris-flow occurrence; The average annual rainfall from 600 to 1150 mm and landslides gradient from 16 degrees to 35 degrees are the main causal factors to trigger debris flow. Our study sheds light on the quantification of spatial heterogeneity in debris flow-prone areas in earthquake-prone regions, which can offer crucial support for post-debris flow risk management strategies.
C1 [Hu, Xudong; Shen, Yitong; Xu, Wennian; Liu, Daxiang; Gao, Jiazhen] China Three Gorges Univ, Hubei Prov Engn Res Ctr Slope Habitat Construct Te, Yichang 443002, Peoples R China.
   [Hu, Xudong; Shen, Yitong; Xu, Wennian; Liu, Daxiang] China Three Gorges Univ, Hubei Key Lab Disaster Prevent & Mitigat, Yichang 443002, Peoples R China.
   [Hu, Xudong; Xu, Wennian; Liu, Daxiang] China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
   [Shen, Yitong; Liu, Shuang] Design & Res Inst Co Ltd, Shanghai Invest, Shanghai 200335, Peoples R China.
   [Hu, Kaiheng; He, Songtang; Wei, Li; Liu, Shuang] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Hu, Kaiheng; He, Songtang; Wei, Li] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Gao, Jiazhen] Wuhan Polytech, Wuhan 430074, Peoples R China.
C3 China Three Gorges University; China Three Gorges University; China
   Three Gorges University; Chinese Academy of Sciences; Chinese Academy of
   Sciences; Institute of Mountain Hazards & Environment, CAS; Wuhan
   Technical University
RP Hu, XD (corresponding author), China Three Gorges Univ, Hubei Prov Engn Res Ctr Slope Habitat Construct Te, Yichang 443002, Peoples R China.; Hu, XD (corresponding author), China Three Gorges Univ, Hubei Key Lab Disaster Prevent & Mitigat, Yichang 443002, Peoples R China.; Hu, XD (corresponding author), China Three Gorges Univ, Coll Civil Engn & Architecture, Yichang 443002, Peoples R China.
EM hxd@ctgu.edu.cn; 1649047265@qq.com; khhu@imde.ac.cn; xwn@ctgu.edu.cn;
   ldx@ctgu.edu.cn; hest@imde.ac.cn; 740552073@qq.com; weili@imde.ac.cn;
   liushuang@imde.ac.cn
TC 3
Z9 3
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD MAY
PY 2024
VL 21
IS 5
BP 1522
EP 1533
DI 10.1007/s11629-023-8320-2
SC Environmental Sciences & Ecology
UT WOS:001245050300017
ER

PT J
AU Li, SY
   Wang, BR
   Lu, JQ
   Wang, A
   Zhang, HF
   Xie, ZN
   Tao, DW
AF Li ShanYou
   Wang BoRui
   Lu JianQi
   Wang, Ao
   Zhang HaiFeng
   Xie ZhiNan
   Tao DongWang
TI Prediction of instrumental intensity for a single station using a LSTM
   neural network
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
ID REAL-TIME; EARTHQUAKE LOCATION; WENCHUAN EARTHQUAKE; MAGNITUDE;
   PERFORMANCE; PARAMETERS; DAMAGE; FIELD; AREA; PGV
AB Seismic intensity is a key output of earthquake early warning (EEW) system. How to quickly predict the seismic intensity at the target site is a core issue of EEW related techniques. This paper proposes a Long Short-Term Memory (LSTM) neural network -based instrumental seismic intensity prediction model (LSTM-I). The model takes the sequential features of ground motion parameters observed at a station as model input, and continuously predicts the potential maximum intensity at the station. The model was trained using 5103 strong ground motion acceleration recordings of 102 earthquakes from K -NET in Japan. The generalization of the model was tested with the 3781 recordings of 89 earthquakes. The performance of the LSTM-I model is evaluated by three metrics: precision rate, false alarm rate and missed alarm rate. The results indicate that if the first 3. 0 s time series segment after the P wave onsets is employed, the probability of the missed alarm is 46. 78%, and the probability of false alarm is 1. 25%; While the first 10. 0 s time series segment is employed, the probability of missed alarm significantly reduces to 17. 6%, and the probability of false alarm reduces to 1. 14%. The results verify that LSTM-I model has well captured hidden characteristic of the ground motion sequential time series. Furthermore, the lead-time at station with potential VI degree intensity is evaluated, and the lead-time is close to that of P-S wave arrival time difference, which indicates high timeliness of LSTM-I model.
C1 [Li ShanYou; Wang BoRui; Lu JianQi; Wang, Ao; Zhang HaiFeng; Xie ZhiNan; Tao DongWang] China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Peoples R China.
   [Li ShanYou; Wang BoRui; Lu JianQi; Wang, Ao; Zhang HaiFeng; Xie ZhiNan; Tao DongWang] Minist Emergency Management, Key Lab Earthquake Disaster Mitigat, Harbin 150080, Peoples R China.
C3 China Earthquake Administration; Institute of Engineering Mechanics, CEA
RP Lu, JQ (corresponding author), China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin 150080, Peoples R China.; Lu, JQ (corresponding author), Minist Emergency Management, Key Lab Earthquake Disaster Mitigat, Harbin 150080, Peoples R China.
EM lishanyou@126.com; lujq_iem@163.com
TC 2
Z9 2
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD FEB
PY 2024
VL 67
IS 2
BP 587
EP 599
DI 10.6038/cjg2022Q0521
SC Geochemistry & Geophysics
UT WOS:001184348600013
ER

PT J
AU Li, CQ
   Zhang, J
   Gao, LC
   Chen, XL
   Ma, SY
   Yuan, RM
AF Li, Chengqiu
   Zhang, Jing
   Gao, Lichan
   Chen, Xiaoli
   Ma, Siyuan
   Yuan, Renmao
TI Spatial Clustering and distribution characteristics of large landslides
   in the Yalong River Basin, China
SO GEOMORPHOLOGY
DT Article
DE Yalong River Basin; Large landslides; Spatial analysis; Distribution
   characteristics
ID TIBETAN PLATEAU EVIDENCE; WENCHUAN EARTHQUAKE; EASTERN MARGIN;
   STRIKE-SLIP; DISPLACEMENT; EVOLUTION; PATTERN; HAZARD; FAULT
AB The Yalong River Basin (YRB), situated on the eastern margin of the Tibetan Plateau, is characterized by high vertical erosion rates, rugged terrain, narrow gorges, and steep hill slopes, which host many large landslides. Analyze the distribution characteristics of landslides in this region is significant for understanding geomorphic evolution and assessing potential landslide risks. In the current study, a landslide database for the Yalong River was initially established based on remote sensing interpretation and field investigation. A total of 729 landslides were mapped, including 191 medium-scale and 538 large-scale landslides. According to the updated Varnes classification, 538 large landslides (73.8 %) were recognized and divided into four major types: slides (344 cases), flows (109 cases), topples (56 cases), and slope deformations (29 cases). The total area of these landslides was 886.2 km2, and they were predominantly concentrated in the alpine canyon areas along the middle segment of the Yalong River. Based on integrated kernel density estimation and spatial autocorrelation, three landslide cluster zones (A, B, and C) were identified, with zone B showing the highest concentration of large landslides. Statistical results indicate that large landslides are concentrated in areas with elevations of 1500-3500 m, slopes of 20 degrees-40 degrees, topographic reliefs of 400-600 m, and dominant aspects being E, SE and SW. Active faults in the YRB play a crucial role in the formation and spatial distribution of landslides, showing a notable correlation with fault geometry, arrangement, and movement types.
C1 [Ma, Siyuan; Yuan, Renmao] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
   China Earthquake Adm, Key Lab Seism & Volcan Hazards, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration
RP Ma, SY; Yuan, RM (corresponding author), China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
EM masiyuan@ies.ac.cn; yuanrenmao@ies.ac.cn
TC 2
Z9 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD APR 15
PY 2025
VL 475
AR 109667
DI 10.1016/j.geomorph.2025.109667
EA FEB 2025
SC Physical Geography; Geology
UT WOS:001428258500001
ER

PT J
AU Shan, B
   Xiong, X
   Wang, RJ
   Zheng, Y
   Yadav, RBS
AF Shan, Bin
   Xiong, Xiong
   Wang, Rongjiang
   Zheng, Yong
   Yadav, R. B. S.
TI Stress evolution and seismic hazard on the Maqin-Maqu segment of East
   Kunlun Fault zone from co-, post-and interseismic stress changes
SO GEOPHYSICAL JOURNAL INTERNATIONAL
DT Article
DE Earthquake dynamics; Earthquake interaction, forecasting, and
   prediction; Early warning
ID 2008 WENCHUAN EARTHQUAKE; POSTSEISMIC DEFORMATION; SLIP-RATE; TECTONIC
   IMPLICATIONS; AREA; CALIFORNIA; MAGNITUDE; SEQUENCE; RUPTURE; OBLIQUE
AB The East Kunlun Fault zone, striking E-W to WNW-ESE, has been recognized as one of the largest and most active left-lateral strike-slip faults in the China continent. Presently, the Maqin-Maqu segment (MMS) is recognized as a seismic gap on the East Kunlun Fault. Since several highly populated counties are close to this region, understanding stress transfer and accumulation along this segment is important for hazard assessment along the MMS. In this study, we calculated the stress evolution along the MMS of the East Kunlun Fault zone during 1879-2008 by integrating coseismic effects, viscoelastic relaxation and tectonic loading. It is observed that the stress accumulation on the western part of the Maqin segment has been effected by the 1937 Tuosuo Lake earthquake, the stress on the eastern part of the Maqin segment. Also, the western part of the Maqu segment was relaxed by the 1947 Dari earthquake, and the stress loading on the eastern part of Maqu segment was increased by both the 1879 Wudu and 2008 Wenchuan earthquakes. It is observed that, compared to coseismic static stress changes, the post-seismic viscoelastic relaxation process has played a more important role on stress accumulation in the Maqu segment. The increased stress on the Maqin and Maqu segment is consistent with tectonic loading over 160 and 250 yr, respectively, which we expect will lead to future earthquakes and associated seismic hazard on these segments.
C1 [Shan, Bin; Xiong, Xiong; Zheng, Yong] Chinese Acad Sci, Inst Geodesy & Geophys, State Key Lab Geodesy & Earths Dynam, Wuhan 430077, Peoples R China.
   [Shan, Bin] Macquarie Univ, Dept Earth & Planetary Sci, Australian Res Council Ctr Excellence Core Crust, Sydney, NSW 2109, Australia.
   [Wang, Rongjiang] GFZ German Res Ctr Geosci, D-14473 Potsdam, Germany.
   [Yadav, R. B. S.] Kurukshetra Univ, Dept Geophys, Kurukshetra 136119, Haryana, India.
C3 Chinese Academy of Sciences; Innovation Academy for Precision
   Measurement Science & Technology, CAS; Macquarie University; Helmholtz
   Association; Helmholtz-Center Potsdam GFZ German Research Center for
   Geosciences; Kurukshetra University
RP Shan, B (corresponding author), Chinese Acad Sci, Inst Geodesy & Geophys, State Key Lab Geodesy & Earths Dynam, Wuhan 430077, Peoples R China.
EM binshan@whigg.ac.cn
TC 48
Z9 59
PU OXFORD UNIV PRESS
PI OXFORD
PA GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND
SN 0956-540X
EI 1365-246X
PD JAN
PY 2015
VL 200
IS 1
BP 244
EP 253
DI 10.1093/gji/ggu395
SC Geochemistry & Geophysics
UT WOS:000350041600020
ER

PT J
AU Yang, BY
   Li, Z
   Huang, JP
   Yang, XM
   Yin, HC
   Li, ZY
   Lu, HX
   Li, WJ
   Shen, XH
   Zeren, Z
   Tan, Q
   Zhou, N
AF Yang, Bai-Yi
   Li, Zhong
   Huang, Jian-Ping
   Yang, Xu-Ming
   Yin, Hui-Chao
   Li, Zong-Yu
   Lu, Heng-Xin
   Li, Wen-Jing
   Shen, Xu-Hui
   Zeren, Zhima
   Tan, Qiao
   Zhou, Na
TI EMD based statistical analysis of nighttime pre-earthquake ULF electric
   field disturbances observed by CSES
SO FRONTIERS IN ASTRONOMY AND SPACE SCIENCES
DT Article
DE ionospheric; CSES; EMD; superposed epoch analysis; electromagnetic waves
ID WENCHUAN EARTHQUAKE; DEMETER SATELLITE; TIME-SERIES; PERTURBATIONS;
   SIGNALS; WAVES; IONOSPHERE; PREDICTION; RADIATION; REGION
AB To explore the correlation between earthquakes and spatial ultra-low frequency electric field disturbances and to study the phenomenon of seismic ionospheric disturbances, this study uses 3 years of electric field ULF band data from 2019 to 2021 observed by the electric field detector carried by the CSES to identify anomalous disturbances using the anomaly automatic detection algorithm based on empirical mode decomposition for the 2,329 seismic events of magnitude not less than 5.0 and the electric field ULF disturbances in this period are analyzed by Superposed Epoch Analysis, and the statistical results are compared and analyzed in depth by earthquake location and different magnitudes in terms of both spatial and temporal scales and spatial distribution. The results show that: 1) There is a correlation between earthquakes of magnitude not less than 5.0 and ultra-low frequency disturbances in the electric field. The abnormal disturbance mainly occurred 11 days before the earthquake, 2 days before the earthquake to the day of the earthquake, and the location of the earthquake is within 200 km from the epicenter. 2) Sea earthquakes can observe more pre-seismic anomalous electromagnetic disturbances than land earthquakes. 3) In terms of earthquake magnitude, the larger the magnitude, the earlier the pre-earthquake anomalous disturbances appear and the wider the range of anomalies. This study provides an effective way to explain seismic ionospheric phenomena, and also provides a reference for the application of electromagnetic monitoring satellites in earthquake prediction and early warning as well as disaster prevention and mitigation.
C1 [Yang, Bai-Yi; Li, Zhong; Yang, Xu-Ming; Li, Zong-Yu] Hebei Key Lab Seism Disaster Instrument & Monitori, Langfang, Peoples R China.
   [Yang, Bai-Yi; Li, Zhong; Huang, Jian-Ping; Yang, Xu-Ming; Yin, Hui-Chao; Li, Zong-Yu] Inst Disaster Prevent, Inst Intelligent Emergency Informat Proc, Langfang, Peoples R China.
   [Yang, Bai-Yi; Li, Zhong; Yang, Xu-Ming] Inst Disaster Prevent, Sch Emergency Management, Langfang, Peoples R China.
   [Huang, Jian-Ping; Lu, Heng-Xin; Li, Wen-Jing; Shen, Xu-Hui; Zeren, Zhima; Tan, Qiao; Zhou, Na] Natl Inst Nat Hazards, Minist Emergency Management China, Beijing, Peoples R China.
   [Yin, Hui-Chao; Li, Zong-Yu] Inst Disaster Prevent, Sch Informat Engn, Langfang, Peoples R China.
C3 China Earthquake Administration; Institute of Disaster Prevention, CEA;
   China Earthquake Administration; Institute of Disaster Prevention, CEA;
   China Earthquake Administration; Institute of Disaster Prevention, CEA
RP Li, Z (corresponding author), Hebei Key Lab Seism Disaster Instrument & Monitori, Langfang, Peoples R China.; Li, Z; Huang, JP (corresponding author), Inst Disaster Prevent, Inst Intelligent Emergency Informat Proc, Langfang, Peoples R China.; Li, Z (corresponding author), Inst Disaster Prevent, Sch Emergency Management, Langfang, Peoples R China.; Huang, JP (corresponding author), Natl Inst Nat Hazards, Minist Emergency Management China, Beijing, Peoples R China.
EM lizhong@cidp.edu.cn; jianpinghuang@ninhm.ac.cn
TC 11
Z9 12
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
SN 2296-987X
PD JAN 4
PY 2023
VL 9
AR 1077592
DI 10.3389/fspas.2022.1077592
SC Astronomy & Astrophysics
UT WOS:000917190900001
ER

PT J
AU Tang, YX
   Zhang, ZJ
   Wang, C
   Zhang, H
   Wu, F
   Liu, M
AF Tang, Yixian
   Zhang, Zhengjia
   Wang, Chao
   Zhang, Hong
   Wu, Fan
   Liu, Meng
TI Characterization of the giant landslide at Wenjiagou by the insar
   technique using TSX-TDX CoSSC data
SO LANDSLIDES
DT Article
DE Bistatic InSAR; Landslide; Wenjiagou; Surface morphology
ID 2008 WENCHUAN EARTHQUAKE; APERTURE RADAR INTERFEROMETRY; SAR
   INTERFEROMETRY; TANDEM-X; CHINA; SUSCEPTIBILITY; SATELLITE; GIS;
   INVENTORY; WEIGHT
AB A landslide map is the most basic element for any landslide assessment, especially for giant landslides. However, due to remoteness and hazards, it is difficult to know the characteristics of these landslides after great earthquakes. In this study, the Coregistered Single look Slant range Complex(CoSSC) synthetic aperture radar (SAR) data from TerraSAR-X and its twin satellite TanDEM-X are employed to estimate a high-accuracy digital elevation model (DEM) for the giant landslide in Wenjiagou on Feb. 1, 2013, which was one of the biggest landslides triggered by the 2008 Wenchuan great earthquake. Then, compared to the DEM from SRTM, the elevation change can be estimated, and the characteristics of the Wenjiagou landslide, such as the source and deposit area, are highlighted. Based on the estimation of elevation change, the initial and deposit volumes are estimated as 5.09 x 10(7) m(3) and 4.47 x 10(7) m(3) respectively which are in agreement with previous field investigations by other researchers. And the results also show that using bistatic space-borne SAR data is an effective means for timely assessment of the giant landslide.
C1 [Tang, Yixian; Zhang, Zhengjia; Wang, Chao; Zhang, Hong; Wu, Fan; Liu, Meng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
   [Zhang, Zhengjia] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; The Institute of Remote Sensing & Digital
   Earth, CAS; Chinese Academy of Sciences; University of Chinese Academy
   of Sciences, CAS
RP Wang, C (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
EM wangchao@radi.ac.cn
TC 12
Z9 12
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD OCT
PY 2015
VL 12
IS 5
BP 1015
EP 1021
DI 10.1007/s10346-015-0616-z
SC Engineering; Geology
UT WOS:000361983500014
ER

PT J
AU Wang, Y
   Colombelli, S
   Zollo, A
   Li, SY
AF Wang, Yuan
   Colombelli, Simona
   Zollo, Aldo
   Li, Shanyou
TI Near-epicenter-based partial matching crossover algorithm for estimating
   the strong-shaking zone of large earthquakes
SO BULLETIN OF EARTHQUAKE ENGINEERING
DT Article
DE Earthquake early warning; Earthquake magnitude; Fault rupture extent;
   Lead time; P-wave amplitude parameters; Strong-shaking zone
ID GROUND-MOTION; FAULT EXTENT; RUPTURE; PREDICTION; INTENSITY; MAGNITUDE;
   SICHUAN
AB The rapid and accurate prediction of earthquake Strong-Shaking Zone (SSZ) is crucial for issuing precise early warnings to regions at high risk of strong ground shaking. Generally, the SSZ is derived from the real-time spatial distribution of observed ground motions. However, during the initial stages of large earthquakes, the SSZ is often underestimated and provide alerts without enough lead-time (the time interval between the alert declaration and the S-wave arrival to the target area). In this study, we propose an innovative approach termed Near-epicenter-based Partial Matching Crossover. Leveraging the characteristic that reliable magnitude estimates for large earthquakes are available earlier than accurate predictions of the peak ground velocity (PGV) distribution, this approach utilizes near-epicenter station data to rapidly estimate the SSZ. It achieves this by matching a segment of the fault, defined by a predetermined length, with the predicted PGV map within a 120 km radius centered at the epicenter. Application of our method to strong motion data from China, Japan and Turkey demonstrates its efficacy in quickly anticipating the post-earthquake intensity distributions for large earthquakes. Specifically, it offers a lead time of 5 s or more for 51.5% (39,354 km2), 43.3% (5772 km2), 31%(47,107 km2) and 75.3% (81,966 km2) of the IMM = V region during the M 8 Wenchuan earthquake, the M 7.3 Kumamoto earthquake, the M 7.8 Syria earthquake and M 7.6 Turkey earthquake, respectively. The presented approach introduces a novel methodology to extend the lead time for earthquake early warnings.
C1 [Wang, Yuan] Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing, Peoples R China.
   [Colombelli, Simona; Zollo, Aldo] Univ Naples Federico II, Dept Phys, Naples, Italy.
   [Li, Shanyou] China Earthquake Adm, Inst Engn Mech, Harbin, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; University of Naples Federico II; China
   Earthquake Administration; Institute of Engineering Mechanics, CEA
RP Wang, Y (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing, Peoples R China.
EM wangyuanseis@gmail.com; simona.colombelli@unina.it; aldo.zollo@unina.it;
   shanyou@iem.ac.cn
TC 1
Z9 1
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1570-761X
EI 1573-1456
PD SEP
PY 2024
VL 22
IS 11
BP 5545
EP 5570
DI 10.1007/s10518-024-01981-2
EA JUL 2024
SC Engineering; Geology
UT WOS:001276946200001
ER

PT J
AU Yan, KM
   Wang, GH
   Nikitas, N
   Bao, N
   Doi, I
   Tao, ZG
AF Yan, Kongming
   Wang, Gonghui
   Nikitas, Nikolaos
   Bao, Ning
   Doi, Issei
   Tao, Zhigang
TI Time-frequency analysis on seismic response and pre-toppling damage
   evolution of anti-dip rock slope under earthquake sequences by shaking
   table tests
SO ENGINEERING GEOLOGY
DT Article
DE Anti-dip rock slope; Seismic response; Toppling failure; Earthquake
   sequence; Shaking table test
ID 2008 WENCHUAN EARTHQUAKE; STABILIZATION
AB Anti-dip rock slopes in tectonically active regions are highly susceptible to seismic loading. While their response to individual mainshocks has been widely studied, the cumulative effect of sequential earthquakes, particularly in relation to gradual, subvisible damage preceding visible toppling, remains underexplored. This study employs a large-scale shaking table test to investigate both internal and external seismic responses and the damage progression of a generalized anti-dip slope model in the time and frequency domains. Results indicate that slope acceleration initially exhibits a linear amplification pattern but transitions to nonlinear behaviour as seismic intensity increases, with the free-face effect diminishing at higher intensities. Dominant frequency nonlinearly shifts and seismic energy variations correlate with both slope height and increasing seismic loads, while a decrease in natural frequency and an increase in damping ratio revealed by transfer function analysis, typically representative of internal damage accumulation. Notably, the major damage of the rock slope model occurs during the mainshock sequence, with subsequent aftershocks exerting limited further impact. Under sequentially increasing seismic loading, slope surface deformation initiates with bulging at the toe, intensifies toward the crest, and is accompanied by uneven settlement at the top. Internal strain readings further reveal progressive bending of rock strata in response to increasing seismic input, characteristic of pre-toppling deformation. These findings provide critical insights for early warning and risk evaluation of anti-dip rock slope stability, by offering a basis for identifying pre-toppling characteristics prior to a complex and visible toppling failure.
C1 [Yan, Kongming; Wang, Gonghui; Doi, Issei] Kyoto Univ, Disaster Prevent Res Inst, Uji 6110011, Japan.
   [Nikitas, Nikolaos] Univ Leeds, Sch Civil Engn, Leeds LS2 9JT, England.
   [Bao, Ning] Tongji Univ, Coll Civil Engn, Dept Geotech Engn, Shanghai 200092, Peoples R China.
   [Tao, Zhigang] China Univ Min & Technol Beijing, State Key Lab Tunnel Engn, Beijing 100083, Peoples R China.
C3 Kyoto University; University of Leeds; Tongji University; China
   University of Mining & Technology
RP Yan, KM; Wang, GH (corresponding author), Kyoto Univ, Disaster Prevent Res Inst, Uji 6110011, Japan.
EM yan.kongming.86x@st.kyoto-u.ac.jp; wang.gonghui.3r@kyoto-u.ac.jp
TC 3
Z9 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD AUG
PY 2025
VL 355
AR 108220
DI 10.1016/j.enggeo.2025.108220
EA JUL 2025
SC Engineering; Geology
UT WOS:001529345300002
ER

PT J
AU Chang, M
   Luo, CP
   Wu, BB
   Xiang, LL
AF Chang, Ming
   Luo, Chaopeng
   Wu, Binbin
   Xiang, Lanlan
TI Catastrophe process of outburst debris flow triggered by the landslide
   dam failure
SO JOURNAL OF HYDROLOGY
DT Article
DE Outburst debris flow; Numerical simulation; Flow amplification effect;
   Obstructive coefficient
ID WENCHUAN EARTHQUAKE; SICHUAN PROVINCE; PREDICTION; MODEL
AB Strong earthquakes can induce large amounts of loose solid materials, forming landslide dams and blocking narrow flow channels. Under extreme rainfall conditions, instability can lead to an outburst of debris flow once the landslide dam has formed it. On July 10, 2013, a volume of 4.5 x 10(4) m(3) of debris flow occurred in the Yangling gully, Wenchuan County, China. This event can be categorized as an outburst of the debris flow that might seriously threaten valley residents, existing sediment transport countermeasure works, and road infrastructures. This paper describes a typical outburst of debris flow, calculates its obstructive coefficient, simulates the process under various recurrence intervals, and analyzes the efficacy of a new mitigation project.
   Related research results have laid the foundation for further study of the risk assessment and early warning of debris flow due to landslide dam failure. In this paper, an accurate computational model for the obstructive coefficient, closely related to the flow amplification effect, is established based on a dam break's physical experiments. Combined with the numerical calculation method, the movement process of the Yangling gully was simulated under the old artificial dam and the flow channel engineering conditions. By comparing the measured and the simulated accumulation area, the verification results illustrate that the accumulation area considering the obstructive coefficient model is closer to the measured value. Based on the obstructive coefficient computational model, the results illustrate the outburst of debris flow discharge for various recurrence intervals (50, 100, and 200 years respectively) to perform scenario simulations of Yangling gully under the new mitigation project conditions.
C1 [Chang, Ming; Luo, Chaopeng; Wu, Binbin; Xiang, Lanlan] Chengdu Univ Technol, State Key Lab GeoHazard Prevent & GeoEnvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology
RP Chang, M (corresponding author), Chengdu Univ Technol, State Key Lab GeoHazard Prevent & GeoEnvironm Pro, Chengdu 610059, Peoples R China.
EM changming15@cdut.edu.cn
TC 14
Z9 16
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0022-1694
EI 1879-2707
PD JUN
PY 2022
VL 609
AR 127729
DI 10.1016/j.jhydrol.2022.127729
EA MAR 2022
SC Engineering; Geology; Water Resources
UT WOS:000790530300003
ER

PT J
AU Li, YJ
   Meng, XM
   Guo, P
   Dijkstra, T
   Zhao, Y
   Chen, G
   Yue, DX
AF Li, Yajun
   Meng, Xingmin
   Guo, Peng
   Dijkstra, Tom
   Zhao, Yan
   Chen, Guan
   Yue, Dongxia
TI Constructing rainfall thresholds for debris flow initiation based on
   critical discharge and S-hydrograph
SO ENGINEERING GEOLOGY
DT Article
DE Debris flow initiation; Rainfall thresholds; Intensity-duration; Channel
   bed erosion; Hydrological model
ID INTENSITY-DURATION THRESHOLDS; 2008 WENCHUAN EARTHQUAKE; SHALLOW
   LANDSLIDES; GANSU PROVINCE; CLIMATE-CHANGE; RUNOFF; GEOHAZARDS;
   PREDICTION; TRAVEL; GENERATION
AB Debris flows caused by channel bed erosion present major hazards affecting life, livelihoods, and the built environment in mountainous regions. An efficient way to decrease hazard impact is through reliable hazard forecasts and appropriate early-warning strategies. Rainfall thresholds are fundamental in achieving reliable hazard forecasts. However, a lack of rainfall records often impedes the empirical establishment of such thresholds. This paper constructs rainfall intensity-duration thresholds based on process-based critical runoff discharge for the initiation of debris flows and a mathematical approximation among peak discharge, rainfall intensity and duration. Simulations of conditions that triggered debris flow and non-debris flow events allowed determination of the lower and upper limits of critical discharge for debris flow initiation. In turn, these critical discharge limits are compared with four estimates derived from process-based approaches to test which approach best delimit the critical conditions. Hydrological simulations derive S-hydrographs for recorded rainfall events. Further analysis of the S-hydrographs results in a mathematical approximation of peak discharge as a function of rainfall intensity and duration and the establishment of the minimum rainfall required to produce a particular peak discharge. The minimum rainfall threshold to trigger an event can be calculated by setting the process-based critical discharge as the peak dis charge. In turn, this enables the establishment of a conventional rainfall I-D threshold for debris flow initiation. This process-based approach enables the construction of valley-specific I-D thresholds in data-poor areas and provides a promising pathway to improve the reliability of debris flow hazard forecasts and early warnings.
C1 [Li, Yajun; Meng, Xingmin; Guo, Peng; Zhao, Yan; Chen, Guan] Lanzhou Univ, Sch Earth Sci, Lanzhou 73000, Peoples R China.
   [Dijkstra, Tom; Yue, Dongxia] Loughborough Univ, Sch Architecture Bldg & Civil Engn, Loughborough, Leics, England.
   [Dijkstra, Tom; Yue, Dongxia] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 73000, Peoples R China.
C3 Lanzhou University; Loughborough University; Lanzhou University
RP Meng, XM (corresponding author), Lanzhou Univ, Sch Earth Sci, Lanzhou 73000, Peoples R China.
EM xmmeng@lzu.edu.cn
TC 18
Z9 19
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JAN
PY 2021
VL 280
AR 105962
DI 10.1016/j.enggeo.2020.105962
SC Engineering; Geology
UT WOS:000615526300038
ER

PT J
AU Lei, XH
   Wang, XY
   Zhang, SJ
   Yang, HJ
   Wang, DF
   Wei, FQ
AF Lei, Xiaohu
   Wang, Xiuying
   Zhang, Shaojie
   Yang, Hongjuan
   Wang, Defu
   Wei, Fangqiang
TI Regional landslide identification using the slope unit containing
   deformation information
SO NATURAL HAZARDS
DT Article
DE InSAR; Slope unit; Landslide boundary; Identify potential landslides;
   Receiver Operating Characteristic (ROC); Wenchuan earthquake-stricken
   area, China
ID PERMANENT SCATTERERS; INTERFEROMETRY; PREDICTION; RAINFALL; EXTRACTION;
   SUBSIDENCE; STABILITY; RADAR; GIS
AB Using Interferometric Synthetic Aperture Radar (InSAR) to identify potential landslides on a regional scale requires defining their boundary ranges and shape characteristics. However, InSAR data in grid form can only delineate the deformation area within a slope and cannot identify its boundary and geometric features. To address this issue, a morphological image analysis and homogeneous slope unit-based method was adopted to extract slope units. Using Geographic Information System spatial analysis technology, the slope unit (surface vector) and InSAR (raster data) datasets were superimposed (hereinafter referred to as SU_InSAR). This can delineate specific slope boundaries for InSAR data scattered on a regional scale, enhancing readability and yielding a slope unit which contains deformation information for the identification of potential landslides. SU_InSAR was used to identify potential landslides in Minjiang River basin in Aba Prefecture, Sichuan Province, China. The results derived from the new mapping unit were compared to those of a hydrological-mechanical model using the Receiver Operating Characteristic evaluation method. The comparison results showed that the accuracy of the SU_ InSAR-based model was 24.4% higher than that of the hydrologic-mechanical model, which is expected to improve landslide mitigation.
C1 [Lei, Xiaohu] Chongqing Jiaotong Univ, Sch River & Ocean Engn, Chongqing 400074, Peoples R China.
   [Lei, Xiaohu; Wang, Xiuying; Zhang, Shaojie; Yang, Hongjuan] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Lei, Xiaohu; Wei, Fangqiang] Chinese Acad Sci, Univ Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Sch, Chongqing 400714, Peoples R China.
   [Wang, Defu] Minist Nat Resource, Geoinformat Mapping Inst 3, Chengdu 610000, Sichuan, Peoples R China.
C3 Chongqing Jiaotong University; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   Chongqing Institute of Green & Intelligent Technology, CAS; University
   of Chinese Academy of Sciences, CAS
RP Zhang, SJ (corresponding author), Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM sj-zhang@imde.ac.cn
TC 0
Z9 0
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD JUN
PY 2025
VL 121
IS 10
BP 11885
EP 11914
DI 10.1007/s11069-025-07265-5
EA MAY 2025
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001494317300001
ER

PT J
AU Song, KL
   Yang, HQ
   Liu, XC
   Liang, D
   Chen, LC
AF Song, Kanglei
   Yang, Haiqing
   Liu, Xinchang
   Liang, Dan
   Chen, Lichuan
TI Risk assessment on the stability of barrier dam induced by Caijiaba
   landslide, SW China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Barrier dam; Caijiaba landslide; Risk assessment; Fluid continuous
   motion equation; Numerical modeling; Geomorphological index approaches
ID JINSHA RIVER; WENCHUAN EARTHQUAKE; DEBRIS FLOWS; NEW-ZEALAND; MODEL;
   RUNOUT; FAILURE; SICHUAN; HAZARD
AB The failure of barrier dams formed by landslides will cause flood disasters, a widespread problem worldwide. To reduce the damage of catastrophe caused by dam break, this research proposes a method to evaluate the barrier dam's stability quickly. This method has been verified in the case of the Caijiaba landslide in Yunyang County, Southwest China. This study uses the fluid continuous motion equation to simulate the propagation range and deposition square quantity of four potential landslide areas. The results show that the four landslides will eventually accumulate in the Longwang River Valley and form barrier dams. Then, combined with the geomorphological index approaches, the stability of the formed barrier dam is evaluated based on the numerical simulation results obtained and the critical value of geomorphic parameters given in the references. It is determined that the Caijiaba landslide cannot form a stable barrier dam in Longwang River, which will not cause dam-break disasters and do little harm to downstream villages. Compared with the existing barrier dam stability evaluation methods, the advantage of the method proposed in this study is that it can quickly obtain accurate evaluation results. Therefore, this method can be applied to the evolution state and stability evaluation of landslide dams with similar geological conditions. Additionally, this method can quickly obtain the evaluation results at a low cost, providing guidance and reference for the emergency early warning and risk assessment of landslide dam break disasters.
C1 [Song, Kanglei; Yang, Haiqing; Liu, Xinchang; Liang, Dan] Chongqing Univ, Sch Civil Engn, State Key Lab Coal Mine Disaster Dynam & Control, Chongqing 400045, Peoples R China.
   [Song, Kanglei; Yang, Haiqing; Liu, Xinchang; Liang, Dan] Natl Joint Engn Res Ctr Geohazards Prevent Reserv, Chongqing 400045, Peoples R China.
   [Liang, Dan; Chen, Lichuan] Minist Nat Resources, Technol Innovat Ctr Geohazards Automat Monitoring, Chongqing Inst Geol & Mineral Resources, Chongqing 401120, Peoples R China.
C3 Chongqing University; Ministry of Natural Resources of the People's
   Republic of China
RP Yang, HQ (corresponding author), Chongqing Univ, Sch Civil Engn, State Key Lab Coal Mine Disaster Dynam & Control, Chongqing 400045, Peoples R China.; Yang, HQ (corresponding author), Natl Joint Engn Res Ctr Geohazards Prevent Reserv, Chongqing 400045, Peoples R China.
EM yanghaiqing06@163.com
TC 11
Z9 11
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD JUN
PY 2022
VL 81
IS 6
AR 235
DI 10.1007/s10064-022-02729-5
SC Engineering; Geology
UT WOS:000795139300002
ER

PT J
AU Wei, CX
   Lu, XC
   Zhang, YS
   Guo, YX
   Wang, Y
AF Wei, Congxin
   Lu Xiaochun
   Zhang Yuansheng
   Guo Yingxia
   Wang Ying
TI A time-frequency analysis of the thermal radiation background anomalies
   caused by large earthquakes: A case study of the Wenchuan 8.0 earthquake
SO ADVANCES IN SPACE RESEARCH
DT Article
DE Remote sensing; Temporal-spatial anomalies; Wenchuan Ms 8.0 earthquake;
   Minxian-Zhangxian Ms 6.6 earthquake; Thermal radiation background
ID TEMPERATURE; RUPTURE
AB Strong earthquakes have an impact on the regional thermal radiation background, which has been both observed and confirmed. This effect produces anomalies in the thermal radiation background (TRBA) and increases the difficulty of extracting a thermal radiation anomaly (TRA) that is associated with an earthquake occurring during the same time period. The extraction and identification of such anomalies has been ignored by previous studies. In this study, we investigate the time-frequency analysis (TFA) method, together with the wavelet filtering of the Daubechies method and the relative power spectrum analysis of the Fourier Welch method to extract and analyse the TRBA caused by the 2008 Wenchuan Ms 8.0 earthquake and the TRA of the 2013 Minxian-Zhangxian Ms 6.6 earthquake using data concerning the brightness temperature of a black body (TBB) from the Fengyun-2 series of geostationary meteorological satellites developed by China. The result showed that this method can effectively extract and analyse the TRBA caused by the Wenchuan earthquake and the TRA of the Minxian-Zhangxian earthquake form a complex background environment. Furthermore, we discussed the impact of the earthquake on the TRBA and segmented the process. The impact is mainly reflected by three aspects; the characteristic period of the TRBA changes, the TRBA occurs at the same time every year, which is identical to the time at which the earthquake anomaly occurred, and the impact process is in stages. We also summarized the correlation between the characteristic parameters of a TRA and the regional thermal radiation background, geography, and climatic factors. (C) 2019 Published by Elsevier Ltd on behalf of COSPAR.
C1 [Wei, Congxin; Lu Xiaochun] Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China.
   [Wei, Congxin; Zhang Yuansheng; Wang Ying] China Earthquake Adm, Lanzhou Inst Seismol, Lanzhou 730000, Peoples R China.
   [Guo Yingxia] China Earthquake Adm, Earthquake Adm Jiangsu Prov, Nanjing 210014, Peoples R China.
   [Wei, Congxin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; National Time Service Center, CAS; China
   Earthquake Administration; China Earthquake Administration; Jiangsu
   Earthquake Agency, CEA; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Lu, XC (corresponding author), Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China.
EM luxc@ntsc.ac.cn
TC 8
Z9 9
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0273-1177
EI 1879-1948
PD JAN 1
PY 2020
VL 65
IS 1
BP 435
EP 445
DI 10.1016/j.asr.2019.09.019
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:000509784600035
ER

PT J
AU Jia, WJ
   Wang, MF
   Zhou, CH
   Yang, QH
AF Jia, Wei-Jie
   Wang, Meng-Fei
   Zhou, Cheng-Hu
   Yang, Qing-Hua
TI Analysis of the spatial association of geographical detector-based
   landslides and environmental factors in the southeastern Tibetan
   Plateau, China
SO PLOS ONE
DT Article
ID WENCHUAN EARTHQUAKE; RISK-ASSESSMENT; DECISION TREE; RANDOM FOREST;
   SUSCEPTIBILITY; REGION
AB Steep canyons surrounded by high mountains resulting from large-scale landslides characterize the study area located in the southeastern part of the Tibetan Plateau. A total of 1766 large landslides were identified based on integrated remote sensing interpretations utilizing multisource satellite images and topographic data that were dominated by 3 major regional categories, namely, rockslides, rock falls, and flow-like landslides. The geographical detector method was applied to quantitatively unveil the spatial association between the landslides and 12 environmental factors through computation of the q values based on spatially stratified heterogeneity. Meanwhile, a certainty factor (CF) model was used for comparison. The results indicate that the q values of the 12 influencing factors vary obviously, and the dominant factors are also different for the 3 types of landslides, with annual mean precipitation (AMP) being the dominant factor for rockslide distribution, elevation being the dominant factor for rock fall distribution and lithology being the dominant factor for flow-like distribution. Integrating the results of the factor detector and ecological detector, the AMP, annual mean temperature (AMT), elevation, river density, fault distance and lithology have a stronger influence on the spatial distribution of landslides than other factors. Furthermore, the factor interactions can significantly enhance their interpretability of landslides, and the top 3 dominant interactions were revealed. Based on statistics of landslide discrepancies with respect to diverse stratification of each factor, the high-risk zones were identified for 3 types of landslides, and the results were contrasted with the CF model. In conclusion, our method provides an objective framework for landslide prevention and mitigation through quantitative, spatial and statistical analyses in regions with complex terrain.
C1 [Jia, Wei-Jie; Zhou, Cheng-Hu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China.
   [Jia, Wei-Jie] Univ Chinese Acad Sci, Beijing, Peoples R China.
   [Jia, Wei-Jie; Wang, Meng-Fei; Yang, Qing-Hua] China Aero Geophys Survey & Remote Sensing Ctr Na, Dept Geol Remote Sensing, Beijing, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS
RP Jia, WJ (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing, Peoples R China.; Jia, WJ (corresponding author), Univ Chinese Acad Sci, Beijing, Peoples R China.; Jia, WJ (corresponding author), China Aero Geophys Survey & Remote Sensing Ctr Na, Dept Geol Remote Sensing, Beijing, Peoples R China.
EM sunleaver@gmail.com
TC 21
Z9 25
PU PUBLIC LIBRARY SCIENCE
PI SAN FRANCISCO
PA 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA
SN 1932-6203
PD MAY 20
PY 2021
VL 16
IS 5
AR e0251776
DI 10.1371/journal.pone.0251776
SC Science & Technology - Other Topics
UT WOS:000664631600061
ER

PT J
AU Gao, ZM
   Ding, MT
AF Gao, Zemin
   Ding, Mingtao
TI Application of convolutional neural network fused with machine learning
   modeling framework for geospatial comparative analysis of landslide
   susceptibility
SO NATURAL HAZARDS
DT Article
DE Landslide susceptibility; Hybrid convolutional neural networks; Machine
   learning models; Wenchuan County; Southwest China
ID RANDOM-FOREST; VULNERABILITY ASSESSMENT; WENCHUAN EARTHQUAKE; FREQUENCY
   RATIO; LOGISTIC-REGRESSION; SPATIAL PREDICTION; HAZARD ASSESSMENT;
   SICHUAN PROVINCE; DECISION TREE; DEBRIS FLOWS
AB Landslides in mountain settlements are among the most widespread and dangerous geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan, southwest China, as a case. For this purpose, we constructed an optimization method that combines a convolutional neural network with the machine learning algorithm of support vector machines, quadratic discriminant analysis, Bayesian optimized gradient boosting tree, and Bayesian optimized random forest. The model inputs were 13,886 historical seismic-induced landslide events interpreted from remote sensing imagery and ten evaluation features: elevation, slope angle, slope aspect, plan curvature, profile curvature, distance to roads, distance to rivers, distance to faults, land use pattern, and soil texture. The output was the probability of landslide occurrence for each prediction unit. Finally, we evaluated the assessed outcomes using both the receiver operating characteristic curve and 1074 latest recorded landslide dataset (2013-2020). The calculations showed that the overall susceptibility values to landslides in the high-very high interval produced by the hybrid convolutional neural networks was 9.95%-16.91%, which is close to the actual landslide susceptibility of the region. The receiver operating characteristic curve and statistical analysis of the latest landslide event outcomes demonstrated that the hybrid Bayesian optimized gradient boosting tree model had a higher classification accuracy than the other classifiers presented in this study. The research findings are available to local governments and disaster management authorities in guiding disaster prevention, mitigation policy formulation, and land use and provide reference value for evaluating landslide susceptibility in other mountainous areas.
C1 [Gao, Zemin; Ding, Mingtao] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
C3 Southwest Jiaotong University
RP Ding, MT (corresponding author), Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
EM zemingao@my.swjtu.edu.cn; mingtaoding@163.com
TC 23
Z9 23
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD SEP
PY 2022
VL 113
IS 2
BP 833
EP 858
DI 10.1007/s11069-022-05326-7
EA MAR 2022
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000772323100001
ER

PT J
AU Liu, M
   Deng, MF
   Chen, NS
   Tian, SF
   Wang, T
AF Liu, Mei
   Deng, Mingfeng
   Chen, Ningsheng
   Tian, Shufeng
   Wang, Tao
TI Analysis of the Low-Frequency Debris Flow Disaster Induced by a Local
   Rainstorm on 12 July 2022, in Pingwu County, China
SO REMOTE SENSING
DT Article
DE low-frequency debris flow; local rainstorm; large catchment; boulder
   blockage; discharge amplification
ID WENCHUAN EARTHQUAKE; RAINFALL THRESHOLDS; LANDSLIDES; INITIATION;
   HAZARD; AMPLIFICATION; UNCERTAINTY; FAILURE; SICHUAN; IMPACT
AB Low-frequency debris flows often lead to severe disasters due to large energy releases and strong concealment. However, the understanding of formation conditions, movement processes, and disaster-causing mechanisms of low-frequency debris flow is still limited, especially regarding occurrences within the large catchment (>50 km2). This study presents a typical case of large-scale, low-frequency debris flow occurring in the Heishui catchment (102.65 km(2)), Pingwu County, China. The movement process, disaster characteristics, and causes of the Heishui debris flow were analyzed in detail through field investigations and remote sensing interpretation. The results indicated that the Heishui debris flow is a large-scale, low-frequency, dilute debris flow with a recurrence period of over 100 years. The debris flow was primarily initiated from the right branch gully, Longchi gully, triggered by a local rainstorm with a maximum hourly rainfall return period of over 20 years. The main cause of casualties and building damage is attributed to large energy releases from boulder blockages and outbursts that occurred in the middle part of the main channel. This led to a sudden increase in peak discharge to 1287 m(3)/s, with a volume of 3.5 x 10(5) m(3) of solid materials being transported to the outlet of the gully. It is essential to enhance the identification of debris flows by comprehensively considering tributary gullies' susceptibility and strengthening joint meteorological and hydrological monitoring networks in the middle and upper reaches within large catchments. This preliminary work contributes towards improving prevention and mitigation strategies for low-frequency debris flows occurring within large catchments.
C1 [Liu, Mei] Xihua Univ, Sch Emergency Management, Chengdu 610039, Peoples R China.
   [Liu, Mei; Deng, Mingfeng; Chen, Ningsheng; Tian, Shufeng; Wang, Tao] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
C3 Xihua University; Chinese Academy of Sciences; Institute of Mountain
   Hazards & Environment, CAS
RP Wang, T (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
EM lmeimei@mail.xhu.edu.cn; dmf@imde.ac.cn; chennsh@imde.ac.cn;
   tiansf@imde.ac.cn; wtwang@imde.ac.cn
TC 3
Z9 4
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAY
PY 2024
VL 16
IS 9
AR 1547
DI 10.3390/rs16091547
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001220561000001
ER

PT J
AU Vanani, AAG
   Eslami, M
   Ghiasi, Y
   Keyvani, F
AF Vanani, A. A. Ghaedi
   Eslami, M.
   Ghiasi, Y.
   Keyvani, F.
TI Statistical analysis of the landslides triggered by the 2021 SW Chelgard
   earthquake (ML=6) using an automatic linear regression
   (LINEAR) and artificial neural network (ANN) model based on controlling
   parameters
SO NATURAL HAZARDS
DT Article
DE Statistical analysis; LINEAR and ANN model; Coseismic landslide; SW
   Chelgard earthquake
ID 2008 WENCHUAN EARTHQUAKE; GORKHA EARTHQUAKE; FREQUENCY RATIO;
   SUSCEPTIBILITY; AREA; PREDICTION; HAZARD; CLASSIFICATION; MECHANISM;
   CHINA
AB This study uses automatic linear regression (LINEAR) and artificial neural network (ANN) models to statistically analyze the area of landslides triggered by the 2021 SW Chelgard earthquake (M-L = 6) based on controlling parameters. We recorded and mapped the number of 632 landslides into four groups (based on the Hungr et al. 2014): rock avalanche-rock fall, debris avalanche-debris flow, rock slump, and slide earth flow-soil slump using remote sensing method, satellite images (before and after the earthquake), and field observation. The spatial distribution of landslides showed that the highest values of the landslide area percentage (LAP %) and of the landslide number density (LND, N/km(2)) occurred in the northern part of the fault on the hanging wall. The ANN models with R-2 = 0.51-0.80 provided more accurate predictions of landslide area (LA, m(2)) than the LINEAR models, with R-2 = 0.40-0.61 using multiple parameters. The LINEAR models revealed that the most influential controlling parameters for landslides were the topographic factors and ANN models showed that seismic parameters are effective on the coseismic landslides (e.g., the distance from the epicenter on the rock slumps; the PGA on debris avalanches- debris flow; the distance from the rupture surface of the fault and Ia on the rock avalanches-rockfall and slide earth flow-soil slump). Therefore, the classification of coseismic landslides can be helpful for predicting the LA more accurately and better understanding the failure mechanism.
C1 [Vanani, A. A. Ghaedi] Tarbiat Modares Univ, Fac Basic Sci, Dept Geol, Tehran 14115116, Iran.
   [Eslami, M.] Shiraz Univ, Fac Basic Sci, Dept Geol, Shiraz, Iran.
   [Ghiasi, Y.] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
   [Keyvani, F.] Univ Azad Joumhouri Eslami, Fac Basic Sci, Dept Geol, Eslami, Iran.
C3 Tarbiat Modares University; Shiraz University; University of Waterloo
RP Vanani, AAG (corresponding author), Tarbiat Modares Univ, Fac Basic Sci, Dept Geol, Tehran 14115116, Iran.
EM AliGhaedi@Modares.ac.ir; Mohaaeslami@gmail.com; syghiasi@uwaterloo.ca
TC 6
Z9 7
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD JAN
PY 2024
VL 120
IS 2
BP 1041
EP 1069
DI 10.1007/s11069-023-06240-2
EA OCT 2023
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001084642100005
ER

PT J
AU Yi, SJ
   Wu, CH
   Li, YS
   Huang, C
AF Yi Shu-jian
   Wu Chun-hao
   Li Yu-sheng
   Huang Chao
TI Source tectonic dynamics features of Jiuzhaigou Ms 7.0
   earthquake in Sichuan Province, China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Jiuzhaigou; Earthquake; Surface rupture; Tectonic dynamics; Radon
   activity
ID WENCHUAN EARTHQUAKE; SURFACE RUPTURES; SEISMOGENIC STRUCTURE; MECHANISM;
   FAULT
AB On August 8, 2017, a M-s 7.0 earthquake occurred 5 km to the west of Jiuzhaigou National Park, causing 25 deaths and injuring 525. The objective of this study was to explore the seismogenic fault of the earthquake and tectonic dynamics of the source rupture. Field investigations, radon activity tests, remote sensing interpretations, and geophysical data analyses were carried out immediately after the earthquake. The Jiuzhaigou earthquake occurred at the intersection of the northern margin of the Minshan uplift belt and the south part of the Wenxian-Maqin fault in the south margin of the West Qinling geosyncline. There are two surface rupture zones trending northwest (NW), which are ground coseismic ruptures caused by concealed earthquake faults. The rupture on the southwest is the structure triggering the earthquake, along the Jiuzhaitiantang-Epicenter-Wuhuahai. The other one on the northeast (Shangsizhai-Zhongcha-Bimang) is a reactivation and extension of the secondary fault trending NW. The source rupture of this earthquake is a strike-slip shear fracture associated with the fault plane trending NW 331 degrees and steeply dipping 75 degrees, which is continuously expanding at both ends. The tectonic dynamics process of the source rupture is that the "Jiuzhaigou protrusion" is left-lateral sheared along the seismogenic fault in the NW direction. Finally, the Maqin fault and the arc fault system at the top of the "Wenxian protrusion" will be gradually broken through sometime in far future, as well as earthquake-triggered landslides will be further occurred along the narrow corridor between the seismogenic faults. The research results revealed the basic geological data and tectonic dynamic mechanism in this earthquake.
C1 [Yi Shu-jian; Li Yu-sheng; Huang Chao] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
   [Yi Shu-jian; Wu Chun-hao] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Sichuan, Peoples R China.
   [Yi Shu-jian; Wu Chun-hao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Institute
   of Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Li, YS (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM yishujian24@foxmail.com; 92126wch@163.com; liyusheng@cdut.cn;
   huangchao10@foxmail.com
TC 7
Z9 7
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD OCT
PY 2018
VL 15
IS 10
BP 2266
EP 2275
DI 10.1007/s11629-017-4703-6
SC Environmental Sciences & Ecology
UT WOS:000447295900014
ER

PT J
AU Li, Y
   Cui, P
   Ye, CM
   Marcato, J Jr
   Zhang, ZT
   Guo, J
   Li, J
AF Li, Yao
   Cui, Peng
   Ye, Chengming
   Marcato Junior, Jose
   Zhang, Zhengtao
   Guo, Jian
   Li, Jonathan
TI Accurate Prediction of Earthquake-Induced Landslides Based on Deep
   Learning Considering Landslide Source Area
SO REMOTE SENSING
DT Article
DE spatial prediction; earthquake-induced landslide; source area feature;
   stacked autoencoder
ID SUSCEPTIBILITY ASSESSMENT; NEURAL-NETWORKS; RANDOM FOREST;
   CLASSIFICATION; STABILITY; PROVINCE; SICHUAN; MODELS; HAZARD; REGION
AB An earthquake-induced landslide (EQIL) is a rapidly changing process occurring at the Earth's surface that is strongly controlled by the earthquake in question and predisposing conditions. Predicting locations prone to EQILs on a large scale is significant for managing rescue operations and disaster mitigation. We propose a deep learning framework while considering the source area feature of EQIL to model the complex relationship and enhance spatial prediction accuracy. Initially, we used high-resolution remote sensing images and a digital elevation model (DEM) to extract the source area of an EQIL. Then, 14 controlling factors were input to a stacked autoencoder (SAE) to search for robust features by sparse optimization, and the classifier took advantage of high-level abstract features to identify the EQIL spatially. Finally, the EQIL inventory collected from the Wenchuan earthquake was used to validate the proposed model. The results show that the proposed method significantly outperformed conventional methods, achieving an overall accuracy (OA) of 91.88%, while logistic regression (LR), support vector machine (SVM), and random forest (RF) achieved 80.75%, 82.22%, and 84.16%, respectively. Meanwhile, this study reveals that shallow machine learning models only take advantage of significant factors for EQIL prediction, but deep learning models can extract more effective information related to EQIL distribution from low-value density data, which is why its prediction accuracy is growing with increasing input factors. There is hope that new knowledge of EQILs can be represented by high-level abstract features extracted by hidden layers of the deep learning model, which are typically acquired by statistical methods.
C1 [Li, Yao; Cui, Peng] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Li, Yao; Cui, Peng] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Ye, Chengming] Chengdu Univ Technol, Key Lab Earth Explorat & Informat Technol, Minist Educ, Chengdu 610059, Peoples R China.
   [Marcato Junior, Jose] Univ Fed Mato Grosso do Sul, Fac Engn Architecture & Urbanism & Geog, BR-79070900 Campo Grande, MS, Brazil.
   [Zhang, Zhengtao] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Minist Emergency Management, Beijing 100875, Peoples R China.
   [Zhang, Zhengtao] Beijing Normal Univ, Fac Geog Sci, Minist Educ, Beijing 100875, Peoples R China.
   [Guo, Jian] Changan Univ, Dept Geol Engn, Xian 710064, Peoples R China.
   [Li, Jonathan] Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Chengdu University of Technology; Universidade
   Federal de Mato Grosso do Sul; Beijing Normal University; Beijing Normal
   University; Chang'an University; University of Waterloo
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.; Cui, P (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM yaoli@imde.ac.cn; pengcui@imde.ac.cn; yechengming@cdut.edu.cn;
   jose.marcato@ufms.br; zhangzhengtao@bnu.edu.cn; jianguo@chd.edu.cn;
   junli@uwaterloo.ca
TC 23
Z9 27
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD SEP
PY 2021
VL 13
IS 17
AR 3436
DI 10.3390/rs13173436
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000694534300001
ER

PT J
AU Wang, J
   Wang, ZH
   Cheng, HB
   Kang, JM
   Liu, XL
AF Wang, Jun
   Wang, Zhihua
   Cheng, Hongbin
   Kang, Junmei
   Liu, Xiaoliang
TI Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area
   from Remote Sensing Data: A Case of Lushan County, Sichuan Province
SO LAND
DT Article
DE extremely hard hit by earthquakes; Lushan earthquake; land cover; time
   and space evolution
ID EARTHQUAKE-INDUCED LANDSLIDES; 2008 WENCHUAN EARTHQUAKE; GEO-HAZARDS;
   VEGETATION; RECONSTRUCTION; RECOVERY
AB Extremely hard-hit areas face frequent secondary geological hazards and difficulties in vegetation recovery, and subsequent effects have a significant impact on land cover changes. At present, there is a lack of research on the dynamic restoration of, and changes in, the ecological environment before and after an earthquake, and especially a lack of quantitative assessment of the impact of earthquakes on land cover at the microscopic scale of spatial distribution of landscape indices. Taking the Lushan earthquake in Sichuan Province as an example, this paper obtained land cover data from the study area between 2012 and 2020, and analyzes the spatial distribution characteristics and influencing factors of land cover change frequency by using a comprehensive land cover degree index, land cover transfer matrix and landscape ecology index. The results show that the types of cropland, forest, built-up and bare land have changed significantly in the study area. During the earthquake recovery period, the comprehensive land cover index of the study area showed an increasing trend, and land cover has been continuously improved under the effect of artificial measures and natural restoration. After 2013, patch density (PD) and landscape shape index (LSI) values decreased and aggregation index (AI) values increased for the vast majority of landscape land classes, indicating a benign ecological development across the region in the post-earthquake period. The research results are not only helpful to establish scientific ecological environmental management in the earthquake-stricken areas, but also helpful to formulate medium- and long-term ecological environmental monitoring and ecological restoration plans based on land cover change patterns.
C1 [Wang, Jun; Cheng, Hongbin; Kang, Junmei] China Earthquake Adm, Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China.
   [Wang, Zhihua; Liu, Xiaoliang] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Wang, Zhihua; Liu, Xiaoliang] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
C3 China Earthquake Administration; The Second Monitoring & Application
   Center, CEA; Chinese Academy of Sciences; Institute of Geographic
   Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences;
   University of Chinese Academy of Sciences, CAS
RP Wang, ZH (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.; Wang, ZH (corresponding author), Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China.
EM 2017026007@chd.edu.cn; zhwang@lreis.ac.cn; chenghongbin@smac.ac.cn;
   2017026008@chd.edu.cn; liuxiaoliang@lreis.ac.cn
TC 21
Z9 25
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2073-445X
PD AUG
PY 2022
VL 11
IS 8
AR 1205
DI 10.3390/land11081205
SC Environmental Sciences & Ecology
UT WOS:000846700400001
ER

PT J
AU Wu, CH
   Cui, P
   Li, YS
   Ayala, IA
   Huang, C
   Yi, SJ
AF Wu, Chun-hao
   Cui, Peng
   Li, Yu-sheng
   Ayala, Irasema Alcantara
   Huang, Chao
   Yi, Shu-jian
TI Seismogenic fault and topography control on the spatial patterns of
   landslides triggered by the 2017 Jiuzhaigou earthquake
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE 2017 Jiuzhaigou earthquake; Landslide; Seismogenic fault; Topography;
   Spatial pattern
ID M(S)7. 0 EARTHQUAKE; STATISTICAL-ANALYSIS; WENCHUAN EARTHQUAKE; HAITI
   EARTHQUAKE; ARIAS INTENSITY; COMPLEX RUPTURE; ROCK FALLS; CHINA;
   AMPLIFICATION; GREECE
AB Jiuzhaigou National Park, located in northwest plateau of Sichuan Province, is a UNESCO World Heritage Site, and one of the most popular scenic areas in China. On August 8, 2017, a Mw 6.5 earthquake occurred 5 km to the west of a major scenic area, causing 25 deaths and injuring 525, and the Park was seriously affected. The objective of this study was to explore the controls of seismogenic fault and topographic factors on the spatial patterns of these landslides. Immediately after the main shock, field survey, remote-sensing investigations, and statistical and spatial analysis were undertaken. At least 2212 earthquake-triggered landslides were identified, covering a total area of 11.8 km2. These were mainly shallow landslides and rock falls. Results demonstrated that landslides exhibited a close spatial correlation with seismogenic faults. More than 85% of the landslides occurred at 2200 to 3700 m elevations. The largest quantity of landslides was recorded in places with local topographic reliefs ranging from 200 to 500 m. Slopes in the range of similar to 20A degrees-50A degrees are the most susceptible to failure. Landslides occurred mostly on slopes facing east-northeast (ENE), east (E), east-southeast (ESE), and southeast (SE), which were nearly vertical to the orientation of the seismogenic fault slip. The back-slope direction and thin ridge amplification effects were documented. These results provide insights on the control of the spatial pattern of earthquake-triggered landslides modified by the synergetic effect of seismogenic faults and topography.
C1 [Wu, Chun-hao; Cui, Peng] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Peoples R China.
   [Wu, Chun-hao] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Cui, Peng] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
   [Li, Yu-sheng; Huang, Chao; Yi, Shu-jian] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
   [Ayala, Irasema Alcantara] Univ Nacl Autonoma Mexico, Inst Geog, Circuito Exterior S-N,Ciudad Univ, Mexico City 04510, DF, Mexico.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Chinese Academy of Sciences; Institute of
   Tibetan Plateau Research, CAS; Center for Excellence in Tibetan Plateau
   Earth Sciences (CETES), CAS; Chengdu University of Technology;
   Universidad Nacional Autonoma de Mexico
RP Cui, P (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Peoples R China.; Cui, P (corresponding author), Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China.
EM 92126wch@163.com; pengcui@imde.ac.cn; liyusheng@cdut.cn;
   irasema@igg.unam.mx; huangchao10@foxmail.com; yishujian24@foxmail.com
TC 54
Z9 67
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD APR
PY 2018
VL 15
IS 4
BP 793
EP 807
DI 10.1007/s11629-017-4761-9
SC Environmental Sciences & Ecology
UT WOS:000429949900010
ER

PT J
AU Huang, H
   Fan, XM
   Yang, DX
   Li, YL
   Gong, C
   Tian, Y
   Yang, YJ
   Jiansong, P
AF Huang, Hai
   Fan, Xuanmei
   Yang, Dongxu
   Li, Yuanling
   Gong, Cheng
   Tian, You
   Yang, Yongjie
   Jiansong, Peng
TI Initiation mechanism and dynamic characteristics of repeated debris
   flows in the Tianmo Gully, southeastern Tibetan Plateau
SO LANDSLIDES
DT Article
DE Tibetan Plateau; Debris flow; Rock-ice avalanche; Snow avalanche
   deposit; Hydrological processes; Velocity; Peak discharge
ID WENCHUAN EARTHQUAKE; GLACIAL TILL; LANDSLIDE; MITIGATION; BEHAVIOR;
   CHINA; LAKE
AB Debris flows originating in glacier and snow-covered catchments in cold high mountains exhibit distinctive initiation mechanisms and runout dynamics. However, due to limited records and data, their mechanisms and dynamics have been poorly studied, hindering effective monitoring and mitigation efforts. The Tianmo Gully (TMG) in the southeastern Tibetan Plateau has experienced repeated debris flows in recent years, presenting us with a unique opportunity to study their initiation mechanisms and dynamics. This study investigates the characteristics of five glacial debris flow events in TMG by employing a combination of field investigations and remote sensing interpretation and analyzes the spatial-temporal distribution of debris source materials and frozen water that control the initiation of debris flows. The results of this study reveal two distinct mechanisms responsible for the initiation of glacial debris flow in TMG, each exhibiting significant variations in triggering conditions. Specifically, the catastrophic event in 2007 was triggered by a rock collapse, subsequently leading to an ice avalanche. In contrast, the remaining four events were triggered by the deposition of snow avalanches. Notably, the velocity and discharge of glacial debris flow surpass those rainfall type debris flow events, with a 50% increase observed in both parameters. These significant differences are caused by the phase change of ice, which controls the hydrological processes and dynamic characteristics. Additionally, besides the influence of soil materials, the presence of snow avalanche deposits emerges as another key factor impacting the activity of glacial debris flow. The findings of this study provide indispensable insights for enhancing risk assessment and formulating effective mitigation strategies pertaining to glacial debris flow occurrences in alpine mountainous regions.
C1 [Huang, Hai; Fan, Xuanmei; Yang, Dongxu; Li, Yuanling; Jiansong, Peng] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
   [Huang, Hai; Li, Yuanling; Gong, Cheng; Tian, You; Yang, Yongjie] CAGS, Inst Explorat Technol, Chengdu 611734, Peoples R China.
   [Huang, Hai; Li, Yuanling; Gong, Cheng; Tian, You; Yang, Yongjie] Minist Nat Resources, Technol Innovat Ctr Risk Prevent & Mitigat Geohaza, Chengdu 611734, Peoples R China.
C3 Chengdu University of Technology; Ministry of Natural Resources of the
   People's Republic of China
RP Fan, XM (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Sichuan, Peoples R China.
EM fxm_cdut@qq.com
TC 0
Z9 2
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD MAY
PY 2025
VL 22
IS 5
BP 1609
EP 1622
DI 10.1007/s10346-025-02457-3
EA JAN 2025
SC Engineering; Geology
UT WOS:001391772200001
ER

PT J
AU Xiang, ZL
   Dou, J
   Yunus, AP
   Zhang, LL
   Wang, XK
   Luo, WQ
AF Xiang, Zilin
   Dou, Jie
   Yunus, Ali P.
   Zhang, Lele
   Wang, Xiekang
   Luo, Wanqi
TI Vegetation-landslide nexus and topographic changes post the 2004 Mw 6.6
   Chuetsu earthquake
SO CATENA
DT Article
DE Chuetsu earthquake; LiDAR DEM; Landslide behavior; Vegetation recovery;
   Post -seismic landslide evolution
ID NIIGATA PREFECTURE EARTHQUAKE; CHI-CHI-EARTHQUAKE; WENCHUAN EARTHQUAKE;
   SPATIAL-DISTRIBUTION; KASHMIR EARTHQUAKE; SHEAR-STRENGTH; AREA;
   RECOVERY; EROSION; IMPACTS
AB Ground shaking on steep slopes often triggers numerous landslides, which dramatically modify the landscape and have long-term effects on vegetation dynamics. However, we still have a limited understanding of the quantitative topographic evolution and the duration of post-seismic impacts on the landscapes due to the lack of longterm consistent observation, especially in low-elevation mountain regions. To address this issue, we used highresolution pre-and post-earthquake DEMs to investigate topographic changes, as well as multi-period and multiscale remote sensing images to analyze the post-seismic landslides and vegetation recovery in the sites affected by the Mw 6.6 2004 Chuetsu earthquake, Japan. Using a vegetation recovery rate (VRR) time series from 2004 to 2021, we examined the decaying tendency of post-seismic landslide activities and predicted the vegetation recovery rate. Our findings indicate that the Chuetsu earthquake mostly steepens and roughens the terrain in lowelevation areas. The changes to slope aspects are associated with coseismic lateral displacement. The vegetation damage area accounted for 87.98 % of the entire area after the earthquake, and the VRR reaches 85.55 % by June 2021. The number of active landslides decreased to 14.45 % after 15 years. Meanwhile, we predict that vegetation recovery areas will be restored to pre-earthquake levels in 2024, and the landslide activity rate will decrease by less than 1 % in 2026, indicating a stable hillslope devoid of debris flows in the future.
C1 [Xiang, Zilin; Dou, Jie; Zhang, Lele; Luo, Wanqi] China Univ Geosci, Badong Natl Observat & Res Stn Geohazards, Wuhan 430074, Peoples R China.
   [Dou, Jie; Wang, Xiekang] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Yunus, Ali P.] Indian Inst Sci Educ & Res Mohali, Dept Earth & Environm Sci, Ajitgarh 140306, Punjab, India.
C3 China University of Geosciences; Sichuan University; Indian Institute of
   Science Education & Research (IISER) - Mohali
RP Dou, J (corresponding author), China Univ Geosci, Badong Natl Observat & Res Stn Geohazards, Wuhan 430074, Peoples R China.
EM ZilinXiang@cug.edu.cn; doujie@cug.edu.cn; yunusp@iisermohali.ac.in;
   zhangll96@stu.cdut.edu.cn; wangxiekang@scu.edu.cn; luowq2016@cug.edu.cn
TC 26
Z9 29
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD APR
PY 2023
VL 223
AR 106946
DI 10.1016/j.catena.2023.106946
EA JAN 2023
SC Geology; Agriculture; Water Resources
UT WOS:000925545600001
ER

PT J
AU Tong, XH
   Lin, XF
   Feng, TT
   Xie, H
   Liu, SJ
   Hong, ZH
   Chen, P
AF Tong, Xiaohua
   Lin, Xiaofei
   Feng, Tiantian
   Xie, Huan
   Liu, Shijie
   Hong, Zhonghua
   Chen, Peng
TI Use of shadows for detection of earthquake-induced collapsed buildings
   in high-resolution satellite imagery
SO ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
DT Article
DE Hybrid approach; Shadow analysis; Building collapse detection;
   High-resolution satellite image; Earthquake-induced damage assessment;
   Accuracy
ID DAMAGE DETECTION; SAR; SEGMENTATION; CITY
AB In this paper, we present a hybrid shadow-analysis approach that integrates the model- and property-based methods for detecting collapsed buildings after an earthquake using high-resolution satellite imagery. The framework of the proposed approach has four main steps. (1) The three-dimensional (3D) building model is established according to its footprint and height data stored in a geographical information system. (2) The theoretical shadow area of the building at the time that the post-seismic image was acquired is calculated. And the polygon of the ground shadow area of the building, which is called the theoretical ground shadow polygon, is extracted. (3) The theoretical ground shadow polygon is overlaid with the casting shadow area of the building, which is called the actual shadow area in the post-seismic satellite image, and the mean value of the digital number values of the post-seismic image pixels within the polygon of the theoretical shadow area is calculated. (4) The calculated mean value is compared with predefined thresholds, which are determined by the training pixels collected from the different types of shadows. On this basis, the shadows of totally collapsed, partially collapsed and uncollapsed buildings can be distinguished. A comprehensive experiment for Dujiangyan city, one of the urban areas most severely damaged in the May 2008 Wenchuan Earthquake, was conducted, and the experimental results showed the superiority of the proposed approach to the other existing ones. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
C1 [Tong, Xiaohua; Lin, Xiaofei; Feng, Tiantian; Xie, Huan; Liu, Shijie; Hong, Zhonghua; Chen, Peng] Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, Shanghai 200092, Peoples R China.
C3 Tongji University
RP Tong, XH (corresponding author), Tongji Univ, Coll Surveying & Geoinformat, Ctr Spatial Informat Sci & Sustainable Dev Applic, 1239 Siping Rd, Shanghai 200092, Peoples R China.
EM xhtong@tongji.edu.cn
TC 62
Z9 73
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0924-2716
EI 1872-8235
PD MAY
PY 2013
VL 79
BP 53
EP 67
DI 10.1016/j.isprsjprs.2013.01.012
SC Physical Geography; Geology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000318889600005
ER

PT J
AU Wu, JW
   Huang, XM
   Xie, FR
AF Wu, Jiwen
   Huang, Xuemeng
   Xie, Furen
TI Deformation of the Most Recent Co-seismic Surface Ruptures Along the
   Garze-Yushu Fault Zone (Dangjiang Segment) and Tectonic Implications For
   the Tibetan Plateau
SO ACTA GEOLOGICA SINICA-ENGLISH EDITION
DT Article
DE co-seismic surface rupture zone; strike-slip fault; Dangjiang fault;
   Garze-Yushu fault zone; Tibetan Plateau; Proto-Tethys
ID STRIKE-SLIP FAULTS; WENCHUAN EARTHQUAKE; EASTERN MARGIN; XIAOJIANG
   FAULT; CHINA; GEOMETRY; FEATURES; BELT; ASIA; MECHANICS
AB The Garze-Yushu strike-slip fault in central Tibet is the locus of strong earthquakes (M > 7). The deformation and geometry of the co-seismic surface ruptures are reflected in the surface morphology of the fault and depend on the structure of the upper crust as well as the pre-existing tectonics. Therefore, the most recent co-seismic surface ruptures along the Garze-Yushu fault zone (Dangjiang segment) reveal the surface deformation of the central Tibetan Plateau. Remote sensing images and field investigations suggest a 85 km long surface rupture zone (striking NW-NWW), less than 50 m wide, defined by discontinuous fault scarps, right-stepping en echelon tensional cracks and left-stepping mole tracks that point to a left-lateral strike-slip fault. The gullies that cross fault scarps record systematic left-lateral offsets of 1.8 m to 5.0 m owing to the most recent earthquake, with moment magnitude of about M 7.5, in the Dangjiang segment. Geological and geomorphological features suggest that the spatial distribution of the 1738 co-seismic surface rupture zone was controlled by the pre-existing active Garze-Yushu fault zone (Dangjiang segment). We confirm that the Garze-Yushu fault zone, a boundary between the Bayan Har Block to the north and the Qiangtang Block to the south, accommodates the eastward extrusion of the Tibetan Plateau and generates strong earthquakes that release the strain energy owing to the relative motion between the Bayan Har and Qiangtang Blocks.
C1 [Wu, Jiwen; Huang, Xuemeng; Xie, Furen] China Earthquake Adm, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.
C3 China Earthquake Administration
RP Huang, XM (corresponding author), China Earthquake Adm, Inst Crustal Dynam, Key Lab Crustal Dynam, Beijing 100085, Peoples R China.
EM huangmeng00000@163.com
TC 7
Z9 7
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1000-9515
EI 1755-6724
PD APR
PY 2017
VL 91
IS 2
SI SI
BP 443
EP 454
DI 10.1111/1755-6724.13110
SC Geology
UT WOS:000400170400005
ER

PT J
AU Kilgore, A
   Restrepo, C
AF Kilgore, Ana
   Restrepo, Carla
TI Integrating Hyperspectral Imaging, Plant Functional Diversity, and
   Soil-Lithology to Uncover Mountainscape Disturbance Dynamics Induced by
   Landsliding
SO REMOTE SENSING
DT Review
DE functional diversity; hyperspectral remote sensing; landslides; LiDAR;
   plant functional traits; soil-rock attributes; spectral diversity;
   tropical mountainscapes
ID LAND-COVER; VEGETATION RECOVERY; WENCHUAN EARTHQUAKE; PHYSIOLOGICAL
   STATUS; BIOLOGICAL INVASION; SPECTRAL DIVERSITY; FOREST STRUCTURE;
   CANOPY NITROGEN; NATIONAL-PARK; TRAITS
AB The global biodiversity crisis has emphasized the unique contribution of functional diversity to ecosystem function, stability, and resilience. In this regard, the increasing availability of remotely sensed data together with the development of new sensors and approaches has the potential to improve our ability to quantify and monitor ecosystem traits and functions at unprecedented spatial, temporal, and spectral scales. In particular, air- and spaceborne hyperspectral data are making possible the measurement of plant-level functional traits to investigate ecosystem function and functional diversity in novel ways. In this review, we posit that these developments, together with similar ones on soils and lithologies, can help us understand relationships between functional diversity, ecosystem processes, and landsliding, and more broadly the disturbance dynamics of mountainscapes. Acknowledging the challenges associated with mountainous regions, this review aims to (1) synthesize broad established methods to retrieve functional traits from remotely sensed data, (2) summarize approaches to characterize functional diversity derived from remotely sensed functional traits, (3) review work addressing functional diversity, ecosystem functioning, and dynamics of mountainscapes, and (4) elaborate on how these methods and approaches can help develop a needed "ecosystem-centered" view of landslides. This view acknowledges that ecosystem diversity influences both slope resistance and susceptibility to failure and landslide recovery, that interactions between ecosystem and geomorphic processes drive the dynamics of mountainscapes mediated by landslides at multiple scales, and that the variability in landslide size represents a source of diversity while also playing a fundamental role in landslide recovery and landscape memory.
C1 [Kilgore, Ana; Restrepo, Carla] Univ Puerto Rico Rio Piedras, Dept Biol, San Juan, PR 00931 USA.
C3 University of Puerto Rico; University of Puerto Rico Rio Piedras
RP Kilgore, A (corresponding author), Univ Puerto Rico Rio Piedras, Dept Biol, San Juan, PR 00931 USA.
EM ana.kilgore@upr.edu; crestre@hpcf.upr.edu
TC 1
Z9 1
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD MAY 22
PY 2025
VL 17
IS 11
AR 1806
DI 10.3390/rs17111806
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001505830400001
ER

PT J
AU Xu, C
   Xu, XW
AF Xu Chong
   Xu Xi-Wei
TI The 2010 Yushu earthquake triggered landslides spatial prediction models
   based on several kernel function types
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Landslides triggered by the Yushu earthquake; Support vector machine;
   Kernel function; Spatial prediction
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; SUSCEPTIBILITY; GIS;
   RUPTURE; WEIGHT
AB Earthquake triggered landslides spatial prediction based on statistics learning theory and Geological Information Systems (GIS) technology is an important research direction, it can predict the area of earthquake triggered landslide occurrence during an earthquake of a similar magnitude in the future. On April 14, 2010 at 07 :49 (Beijing time), a catastrophic earthquake with M(w)6.9 struck Yushu County, Qinghai Province, China. 2036 landslides were interpreted from aerial photographs and satellite images, verified by selected field checking, these landslides were distributed in a rectangle area of 1455.3 km(2). The aim of this study was to carry out earthquake triggered landslides spatial prediction modelling in the rectangle area using several kernel function types, based on GIS and support vector machine (SVM) model. A spatial database, including landslides and associated controlling parameters which may have influence on the occurrence of landslides, was developed and analyzed using GIS technology. The twelve factors, including elevation, slope angle, slope aspect, slope curvature, slope position, drainages, lithology, faults, roads, normalized difference vegetation index (NDVI), co-seismic main surface fault-ruptures, and peak ground acceleration (PGA) were selected as earthquake triggered landslide spatial prediction factors. The landslide spatial prediction mapping was executed using several kernel function types including linear function, polynomial function, radial basis function, and sigmoid function based on SVM model, and Yushu earthquake triggered landslide hazard index maps, landslide hazard rank maps, and prediction result maps were created respectively. The success rate of the four kernel function types were 79.87%, 83.45%, 84.16%, 64.62% respectively. This showed that radial basis function was the best kernel function of the four in Yushu earthquake triggered landslides spatial prediction mapping. The training and discussions of the model were also carried out based on other three different training sample groups of random distribution and one training sample group of regular distribution. This paper provided an example for selecting appropriate kernel function types for earthquake triggered landslide prediction mapping using support vector machine modelling in the study area. Hazard rank maps and prediction result maps could be useful in landslides hazard mitigation by helping planners understand the probability of landslides in different regions.
C1 [Xu Chong; Xu Xi-Wei] Chinese Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), Chinese Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xc11111111@126.com; xiweixu@vip.sina.com
TC 11
Z9 31
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD SEP
PY 2012
VL 55
IS 9
BP 2994
EP 3005
DI 10.6038/j.issn.0001-5733.2012.09.018
SC Geochemistry & Geophysics
UT WOS:000309628400018
ER

PT J
AU Xu, LL
   Chen, CLP
   Qing, F
   Meng, XM
   Zhao, Y
   Qi, TJ
   Miao, TY
AF Xu, Lili
   Chen, C. L. Philip
   Qing, Feng
   Meng, Xingmin
   Zhao, Yan
   Qi, Tianjun
   Miao, Tianyao
TI Graph-Represented Broad Learning System for Landslide Susceptibility
   Mapping in Alpine-Canyon Region
SO REMOTE SENSING
DT Article
DE landslide; alpine-canyon region; susceptibility mapping; Laplacian
   matrix; broad learning system; Zhouqu County
ID WENCHUAN EARTHQUAKE; MULTISCALE; REGRESSION; MACHINE; SEGMENT; HAZARD;
   AREA; GIS
AB Zhouqu County is located at the intersection of two active structural belts in the east of the Qinghai-Tibet Plateau, which is a rare, high-incidence area of landslides, debris flow, and earthquakes on a global scale. The complex regional geological background, the fragile ecological environment, and the significant tectonic activities have caused great difficulties for the dynamic susceptibility assessment and prediction of landslides in the study area. Specifically, Zhouqu is a typical alpine-canyon region in geomorphology; currently there is still a lack of a landslide susceptibility assessment study for this particular type of area. Therefore, the development of landslide susceptibility mapping (LSM) in this area is of great significance for quickly grasping the regional landslide situation and formulating disaster reduction strategies. In this article, we propose a graph-represented learning algorithm named GBLS within a broad framework in order to better extract the spatially relevant characteristics of the geographical data and to quickly obtain the change pattern of landslide susceptibility according to the frequent variation (increase or decrease) of the data. Based on the broad structure, we construct a group of graph feature nodes through graph-represented learning to make better use of geometric correlation of data to upgrade the precision. The proposed method maintains the efficiency and effectiveness due to its broad structure, and even better, it is able to take advantage of incremental data to complete fast learning methodology without repeated calculation, thus avoiding time waste and massive computation consumption. Empirical results verify the excellent performance with high efficiency and generalization of GBLS on the 407 landslides in the study area inventoried by remote sensing interpretation and field investigation. Then, the landslide susceptibility map is drawn to visualize the landslide susceptibility assessment according to the result of GBLS with the highest AUC (0.982). The four most influential factors were ranked out as rainfall, NDVI, aspect, and Terrain Ruggedness Index. Our research provides a selection criterion that can be referenced for future research where GBLS is of great significance in LSM of the alpine-canyon region. It plays an important role in demonstrating and popularizing the research in the same type of landform environment. The LSM would help the government better prevent and confine the risk of landslide hazards in the alpine-canyon region of Zhouqu.
C1 [Xu, Lili] Beijing Normal Univ, Sch Appl Math, Zhuhai 519087, Peoples R China.
   [Chen, C. L. Philip] South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510641, Peoples R China.
   [Qing, Feng] Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing 100084, Peoples R China.
   [Meng, Xingmin; Zhao, Yan] Lanzhou Univ, Sch Earth Sci, Lanzhou 730000, Peoples R China.
   [Qi, Tianjun] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
   [Miao, Tianyao] China Re Catastrophe Risk Management Co LYD, Beijing 100052, Peoples R China.
C3 Beijing Normal University; Beijing Normal University Zhuhai; South China
   University of Technology; Tsinghua University; Lanzhou University;
   Lanzhou University
RP Chen, CLP (corresponding author), South China Univ Technol, Sch Comp Sci & Engn, Guangzhou 510641, Peoples R China.
EM xulili@bnuz.edu.cn; philip.chen@ieee.org; qingf16@lzu.edu.cn;
   xmmeng@lzu.edu.cn; zhaoyandz@lzu.edu.cn; qitj16@lzu.edu.cn;
   miaotianyao@chinarecrm.com.cn
TC 9
Z9 10
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD JUN
PY 2022
VL 14
IS 12
AR 2773
DI 10.3390/rs14122773
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000817537200001
ER

PT J
AU Zhou, SH
   Chen, GQ
   Fang, LG
AF Zhou, Suhua
   Chen, Guangqi
   Fang, Ligang
TI Distribution Pattern of Landslides Triggered by the 2014 Ludian
   Earthquake of China: Implications for Regional Threshold Topography and
   the Seismogenic Fault Identification
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE Ludian earthquake; landslide distribution; seismogenic fault; geographic
   information system (GIS); threshold topography
ID 2008 WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; NIIGATA PREFECTURE;
   INVENTORY; EROSION
AB The 3 August 2014 Ludian earthquake with a moment magnitude scale (Mw) of 6.1 induced widespread landslides in the Ludian County and its vicinity. This paper presents a preliminary analysis of the distribution patterns and characteristics of these co-seismic landslides. In total, 1826 landslides with a total area of 19.12 km(2) triggered by the 3 August 2014 Ludian earthquake were visually interpreted using high-resolution aerial photos and Landsat-8 images. The sizes of the landslides were, in general, much smaller than those triggered by the 2008 Wenchuan earthquake. The main types of landslides were rock falls and shallow, disrupted landslides from steep slopes. These landslides were unevenly distributed within the study area and concentrated within an elliptical area with a 25-km NW-SE striking long axis and a 15-km NW-SE striking short axis. Three indexes including landslides number (LN), landslide area ratio (LAR), and landslide density (LD) were employed to analyze the relation between the landslide distribution and several factors, including lithology, elevation, slope, aspect, distance to epicenter and distance to the active fault. The results show that slopes consisting of deeply weathered and fractured sandstones and mudstones were the more susceptible to co-seismic landslides. The elevation range of high landslide susceptibility was between 900-1300 m and 1800-2000 m. There was a generally positive correlation between co-seismic landslides and slope angle, until a maximum for the slope class 40 degrees-50 degrees. The co-seismic landslides occurred preferably on Southeast (SE), South (S) and Southwest (SW) oriented slopes. Results also show that the landslide concentration tends to decrease with distance from the surface projection of the epicenter rather than the seismogenic fault, and the highest landslide concentration is located within a 5-6 km distance of the seismogenic fault. Regarding the epicenter, the largest landslide clusters were found on the SE, northeast by east (NEE) and nearly West (W) of the epicenter. In addition, we also suggest that statistical results of slope gradients of landslides might imply a threshold topography of the study area within a tectonically active background. By analogy with other events, the statistical results of landslides aspects also imply the seismogenic fault of the Ludian earthquake might have been the Northwest (NW)-trending fault, which is consistent with other studies.
C1 [Zhou, Suhua; Chen, Guangqi] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 8190395, Japan.
   [Zhou, Suhua; Fang, Ligang] Cent S Univ, Dept Geotech Engn, Changsha 410075, Hunan, Peoples R China.
C3 Kyushu University; Central South University
RP Fang, LG (corresponding author), Cent S Univ, Dept Geotech Engn, Changsha 410075, Hunan, Peoples R China.
EM suhua.zhou867@gmail.com; chen_kyushu@163.com; 3te13087k@s.kyushu-u.ac.jp
TC 36
Z9 42
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD APR
PY 2016
VL 5
IS 4
AR 46
DI 10.3390/ijgi5040046
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000375233100008
ER

PT J
AU Zhao, M
   Chen, S
   Yuen, D
AF Zhao Ming
   Chen Shi
   Yuen, Dave
TI Waveform classification and seismic recognition by convolution neural
   network
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Convolutional neural network(CNN); Waveform auto-picking
ID P-PHASE; PICKING
AB The development of efficient, high-precision, and universal automatic waveform pick-up algorithm is more and more important in the background of earthquake big data. The main challenge comes from how to adapt to the classification of different types of seismic events in different regions. In this paper, according to the seismic event-noise classification problem, a convolutional neural network method was used to train the dataset based on 13839 Wenchuan earthquake aftershocks and 8900 new Wenchuan aftershock events were used as the test data set. The training and detection accuracy rates were both over 95%. In the detection of continuous waveforms, the CNN method is superior to the traditional methods of STA/LTA and Fbpicker in precision and recall rate, and can find a large number of manually selected microseismic events that are easily missed. Finally, we use the trained optimal model to identify 8-day continuous waveform data from 441 stations nationwide. CNN detects 7016 waveforms, then we pick up 1380 pairs of P and S arrival times using an automatic picking algorithm, finally the pick-ups were successfully associated with 540 earthquake catalog events. The overall recognition accuracy of events above magnitude 1 was 54% and 80% above magnitude 2, while in some areas such as Sichuan and Xinjiang the detection rate is higher. It is shown that CNN neural network has broad application prospects in the real-time earthquake detection and location.
C1 [Zhao Ming; Chen Shi] China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
   [Yuen, Dave] Univ Minnesota, New York, NY 10027 USA.
   [Yuen, Dave] China Univ Geosci, Wuhan 430074, Peoples R China.
C3 China Earthquake Administration; Institute of Geophysics, CEA;
   University of Minnesota System; China University of Geosciences
RP Chen, S (corresponding author), China Earthquake Adm, Inst Geophys, Beijing 100081, Peoples R China.
EM mzhao@cea.igp.ac.cn; chenshi@cea.igp.ac.cn
TC 62
Z9 96
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD JAN
PY 2019
VL 62
IS 1
BP 374
EP 382
DI 10.6038/cjg2019M0151
SC Geochemistry & Geophysics
UT WOS:000457640700029
ER

PT J
AU Zhang, N
   Huang, H
AF Zhang, N.
   Huang, H.
TI Assessment of world disaster severity processed by Gaussian blur based
   on large historical data: casualties as an evaluating indicator
SO NATURAL HAZARDS
DT Article
DE Hazard; Disaster severity; Gaussian blur; Risk assessment; Big data;
   World disasters
ID 2008 WENCHUAN EARTHQUAKE; RISK-ASSESSMENT; SOCIAL VULNERABILITY;
   INFORMATION; MANAGEMENT; LESSONS; HAZARDS; TAIWAN; IMAGES; CHINA
AB Natural and man-made disasters seriously threaten human life. Knowledge about the severity of disasters in general, and the disaster severity of individual countries, is useful in helping to reduce loss of life and economic losses caused by these disasters. In this paper, we provide a Gaussian blur-based method to calculate the average severity of disasters, instead of using the mean or median values as the average severity. This method can partly eliminate the right skewing that is a result of few serious disasters and the left skewing resulting from a great number of small disasters. A new definition of severity based on a natural logarithm is put forward to quantify the severity of all disasters. Droughts, extreme temperatures, and earthquakes are the top three disasters with the highest severity values. Storms have the highest uncertainty, although their severity is low. After analyzing the hazards of countries, China, Indonesia, India, and America were found to be the four highest hazard countries in the world. Finally, we established an annual disaster hazard value per unit area (H (area)) to represent the severity of disasters of countries, taking into account the country's area. Island countries naturally have high H (area), while most of the other high-H (area) countries lie in Africa.
C1 [Zhang, N.; Huang, H.] Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing, Peoples R China.
   [Zhang, N.] Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China.
C3 Tsinghua University; University of Hong Kong
RP Huang, H (corresponding author), Tsinghua Univ, Inst Publ Safety Res, Dept Engn Phys, Beijing, Peoples R China.
EM hhong@mail.tsinghua.edu.cn
TC 10
Z9 11
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD MAY
PY 2018
VL 92
IS 1
BP 173
EP 187
DI 10.1007/s11069-018-3199-x
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000429553900009
ER

PT J
AU Dong, JJ
   Tung, YH
   Chen, CC
   Liao, JJ
   Pan, YW
AF Dong, Jia-Jyun
   Tung, Yu-Hsiang
   Chen, Chien-Chih
   Liao, Jyh-Jong
   Pan, Yii-Wen
TI Logistic regression model for predicting the failure probability of a
   landslide dam
SO ENGINEERING GEOLOGY
DT Article
DE Landslide dam; Failure probability; Logistic regression; Geomorphic
   variables
ID HAZARD ASSESSMENT; STATISTICAL APPROACH; NEW-ZEALAND; SUSCEPTIBILITY;
   EARTHQUAKE; GIS; VALIDATION
AB Landslides may obstruct river flow and result in landslide dams; they occur in many regions of the world. The formation and disappearance of natural lakes involve a complex earth-surface process. According to the lessons learned from many historical cases, landslide dams usually break down rapidly soon after the formation of the lake. Regarding hazard mitigation, prompt evaluation of the stability of the landslide dam is crucial. Based on a Japanese dataset, this study utilized the logistic regression method and the jack-knife technique to identify the important geomorphic variables, including peak flow (or catchment area), dam height, width and length in sequence, affecting the stability of landslide dams. The resulting high overall prediction power demonstrates the robustness of the proposed logistic regression models. Accordingly, the failure probability of a landslide dam can also be evaluated based on this approach. Ten landslide dams (formed after the 1999 Chi-Chi Earthquake, the 2008 Wenchuan Earthquake and 2009 Typhoon Morakot) with complete dam geometry records were adopted as examples of evaluating the failure probability. The stable Tsao-Ling landslide dam, which was induced by the Chi-Chi earthquake, has a failure probability of 27.68% using a model incorporating the catchment area and dam geometry. On the contrary, the Tangjiashan landslide dam, which was artificially breached soon after its formation during the Wenchuan earthquake, has a failure probability as high as 99.54%. Typhoon Morakot induced the Siaolin landslide dam, which was breached within one hour after its formation and has a failure probability of 71.09%. Notably, the failure probability of the earthquake induced cases is reduced if the catchment area in the prediction model is replaced by the peak flow of the dammed stream for these cases. In contrast, the predicted failure probability of the heavy rainfall-induced case increases if the high flow rate of the dammed stream is incorporated into the prediction model. Consequently, it is suggested that the prediction model using the peak flow as causative factor should be used to evaluate the stability of a landslide dam if the peak flow is available. Together with an estimation of the impact of an outburst flood from a landslide-dammed lake, the failure probability of the landslide dam predicted by the proposed logistic regression model could be useful for evaluating the related risk. (C) 2010 Elsevier B.V. All rights reserved.
C1 [Dong, Jia-Jyun; Tung, Yu-Hsiang] Natl Cent Univ, Grad Inst Appl Geol, Jhongli 32001, Taiwan.
   [Dong, Jia-Jyun; Chen, Chien-Chih] Natl Cent Univ, Grad Inst Geophys, Jhongli 32001, Taiwan.
   [Liao, Jyh-Jong; Pan, Yii-Wen] Natl Chiao Tung Univ, Dept Civil Engn, Hsinchu 30010, Taiwan.
   [Liao, Jyh-Jong; Pan, Yii-Wen] Natl Chiao Tung Univ, Hazard Mitigat Res Ctr, Hsinchu 30010, Taiwan.
C3 National Central University; National Central University; National Yang
   Ming Chiao Tung University; National Yang Ming Chiao Tung University
RP Dong, JJ (corresponding author), 300 Jungda Rd, Tao Yuan 32001, Taiwan.
EM jjdong@geo.ncu.edu.tw
TC 115
Z9 137
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JAN 10
PY 2011
VL 117
IS 1-2
BP 52
EP 61
DI 10.1016/j.enggeo.2010.10.004
SC Engineering; Geology
UT WOS:000286853100006
ER

PT J
AU Farzam, A
   Nollet, MJ
   Khaled, A
AF Farzam, Azarm
   Nollet, Marie-Jose
   Khaled, Amar
TI Susceptibility modelling of seismically induced effects (landslides and
   rock falls) integrated to rapid scoring procedures for bridges using GIS
   tools for the Lowlands of the Saint-Lawrence Valley
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Site effects; geographic information systems; earthquakes; landslides
ID 2008 WENCHUAN EARTHQUAKE; OTTAWA; HAZARD; CLAY
AB Assessment of the seismic vulnerability of a bridge structure relies on its structural characteristics and site data. However, seismically induced effects, such as landslides or rock falls, are often unknown at a bridge site, making seismic risk assessment difficult. The objective of this paper is to develop a methodology to produce susceptibility map for landslides and rock falls for the Lowlands of the Saint-Lawrence Valley based on geological and slope models, groundwater table and proximity to watercourses. The methodology is inspired by the concepts of the methodology of Hazus and adapted to the specificity of the region of study. The final map of susceptibility to landslides shows a predominance of high level of susceptibility. The digital inventory of landslides is compared to the landslides susceptibility levels. Sixty-eight percentage (68%) of landslides from the inventory are located on areas evaluated as highly or very highly susceptible. Therefore, the method of attribution of susceptibility level is well correlated to the inventory of landslides. This map is used within scoring procedures for a rapid assessment of the seismic vulnerability of bridges giving a better classification of the most vulnerable installations, improving the effectiveness of mitigation measures and the efficiency of emergency planning.
C1 [Farzam, Azarm; Nollet, Marie-Jose; Khaled, Amar] Ecole Technol Super, Genie Construct, Montreal, PQ, Canada.
C3 University of Quebec; Ecole de Technologie Superieure - Canada
RP Farzam, A (corresponding author), Ecole Technol Super, Genie Construct, Montreal, PQ, Canada.
EM azarm.farzam.1@ens.etsmtl.ca
TC 5
Z9 6
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PY 2018
VL 9
IS 1
BP 589
EP 607
DI 10.1080/19475705.2018.1466731
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000432159600002
ER

PT J
AU Peng, GQ
   Wen, YN
   Li, YT
   Yue, SS
   Song, ZY
AF Peng, Guoqiang
   Wen, Yongning
   Li, Yuting
   Yue, Songshan
   Song, Zhiyao
TI Construction of collaborative mapping engine for dynamic disaster and
   emergency response
SO NATURAL HAZARDS
DT Article
DE Collaborative mapping; Dynamic disaster; Dynamic emergency response;
   Interactive mapping
ID NATURAL DISASTERS; GIS; VISUALIZATION; MANAGEMENT; TOOLS; RISK
AB In the collaborative mapping of disasters, response situations and decisions, it is important to support various emergency responders with a unified platform to help in decision making and coordinating emergency action. However, most existing symbol libraries focus primarily on representing disasters and related information. These libraries lack specific symbols to map response situations and emergency decisions. For representation of dynamic disasters and response factors, these symbols support rich interactive editing after the symbols are mapped. In addition, decision making and mapping of disasters and response situations typically involve different domains of expertise and different responsibilities of map makers. It is essential to construct a collaborative mapping engine that supports disaster and emergency mapping on a collaborative platform. However, most existing methods of collaboration cannot readily support collaboration on symbols containing complex data structures or accommodate rich interactive editing operations. This article proposes a collaborative mapping engine for dynamic disasters and emergency responses. To support collaborative mapping based on complex data structures and rich interactive map symbols, it proposes a method of mapping operation replication to implement collaboration. Additionally, strategies were designed to enhance the efficiency and stability of collaboration. Finally, an experiment was conducted using the Wenchuan earthquake as an example. The results reveal that the engine can contribute to improved mapping efficiency and management during emergencies.
C1 [Peng, Guoqiang; Wen, Yongning; Li, Yuting; Yue, Songshan; Song, Zhiyao] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China.
   [Peng, Guoqiang; Wen, Yongning; Li, Yuting; Yue, Songshan; Song, Zhiyao] State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China.
   [Peng, Guoqiang; Wen, Yongning; Li, Yuting; Yue, Songshan; Song, Zhiyao] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
C3 Nanjing Normal University; Nanjing Normal University
RP Peng, GQ (corresponding author), Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ, Nanjing 210023, Jiangsu, Peoples R China.; Peng, GQ (corresponding author), State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China.; Peng, GQ (corresponding author), Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
EM Geop1987@gmail.com
TC 14
Z9 15
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD JAN
PY 2018
VL 90
IS 1
BP 217
EP 236
DI 10.1007/s11069-017-3045-6
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000417720400011
ER

PT J
AU Li, LP
   Lan, HX
AF Li, Langping
   Lan, Hengxing
TI Integration of Spatial Probability and Size in Slope-Unit-Based
   Landslide Susceptibility Assessment: A Case Study
SO INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
DT Article
DE landslide susceptibility assessment; slope-unit; spatial probability;
   size; integration
ID 2008 WENCHUAN EARTHQUAKE; MAPPING UNITS; INVENTORY; AREA; MODELS;
   DELINEATION; CATCHMENT; ZONATION; GIS
AB Landslide spatial probability and size are two essential components of landslide susceptibility. However, in existing slope-unit-based landslide susceptibility assessment methods, landslide size has not been explicitly considered. This paper developed a novel slope-unit based approach for landslide susceptibility assessment that explicitly incorporates landslide size. This novel approach integrates the predicted occurrence probability (spatial probability) of landslides and predicted size (area) of potential landslides for a slope-unit to obtain a landslide susceptibility value for that slope-unit. The results of a case study showed that, from a quantitative point of view, integrating spatial probability and size in slope-unit-based landslide susceptibility assessment can bring remarkable increases of AUC (Area under the ROC curve) values. For slope-unit-based scenarios using the logistic regression method and the neural network method, the average increase of AUC brought by incorporating landslide size is up to 0.0627 and 0.0606, respectively. Slope-unit-based landslide susceptibility models incorporating landslide size had utilized the spatial extent information of historical landslides, which was dropped in models not incorporating landslide size, and therefore can make potential improvements. Nevertheless, additional case studies are still needed to further evaluate the applicability of the proposed approach.
C1 [Li, Langping; Lan, Hengxing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Lan, Hengxing] Changan Univ, Sch Geol Engn & Geomat, Xian 710064, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chang'an University
RP Li, LP (corresponding author), Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
EM lilp@lreis.ac.cn; lanhx@lreis.ac.cn
TC 16
Z9 16
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 1660-4601
PD NOV
PY 2020
VL 17
IS 21
AR 8055
DI 10.3390/ijerph17218055
SC Environmental Sciences & Ecology; Public, Environmental & Occupational
   Health
UT WOS:000588933200001
ER

PT J
AU Ding, MT
   Hu, KH
AF Ding, Mingtao
   Hu, Kaiheng
TI Susceptibility mapping of landslides in Beichuan County using cluster
   and MLC methods
SO NATURAL HAZARDS
DT Article
DE Susceptibility mapping; Landslide; Clustering analysis; Beichuan County
ID GIS; EARTHQUAKE; INFORMATION; REGION; TURKEY
AB Cluster analysis and maximum likelihood classification (MLC) are exploited to map the post-earthquake landslide susceptibility in Beichuan County that was affected by the Ms 8.0 Wenchuan earthquake. The methodology is applicable even if there is short of training data. Six effective factors are chosen for mapping the susceptibility, including land use, seismic intensity, average annual rainfall, relative relief, slop gradient and lithology. Four clusters are grouped from sampling grid cells by k-means clustering approach. MLC classifies all the cells in the study area into the four clusters according to their statistical characteristics. Four susceptibility classes (extreme low, low, moderate and high) are assigned to these clusters applying expert experience and hazard density. The final map gives a reasonable assessment of post-earthquake landslide susceptibility in Beichuan County. Comparing with the pre-earthquake susceptibility map made in Beichuan County geological disaster survey project, the result t using cluster and MLC classification has a better agreement with the dot density value of post-earthquake landslides in Beichuan County. The susceptibility map can be used to identify safety spots within the high danger area, which are suitable for habitations and facilities. It is also found that more landslides are densely concentrated at the boundary between high and moderate regions, and between high and extreme low regions.
C1 [Ding, Mingtao] Southwest Univ Sci & Technol, Sch Environm & Resources, Mianyang 621010, Peoples R China.
   [Ding, Mingtao; Hu, Kaiheng] Chinese Acad Sci, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Hu, Kaiheng] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
C3 Southwest University of Science & Technology - China; Chinese Academy of
   Sciences; Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS
RP Hu, KH (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM mingtaoding@163.com; khhu@imde.ac.cn
TC 20
Z9 22
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD JAN
PY 2014
VL 70
IS 1
BP 755
EP 766
DI 10.1007/s11069-013-0854-0
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000331391800038
ER

PT J
AU Liu, Y
   Xu, PH
   Cao, C
   Shan, B
   Zhu, KX
   Ma, QY
   Zhang, ZS
   Yin, H
AF Liu, Yue
   Xu, Peihua
   Cao, Chen
   Shan, Bo
   Zhu, Kuanxing
   Ma, Qiuyang
   Zhang, Zongshuo
   Yin, Han
TI A comparative evaluation of machine learning algorithms and an improved
   optimal model for landslide susceptibility: a case study
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Landslide susceptibility; support vector machine; maximum entropy;
   random forest; artificial neural network; Xulong gully
ID SUPPORT VECTOR MACHINE; LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; GIS;
   ENTROPY; BASIN; SVM; SELECTION; ZONATION; TREE
AB In this study, four representative machine learning methods (support vector machine (SVM), maximum entropy (MaxEnt), random forest (RF), and artificial neural network (ANN)) were employed to construct a landslide susceptibility map (LSM) in Xulong Gully (XLG), southwest China. The models were subsequently compared in order to select the best-performing model. This model was further improved to optimize the machine learning method. A total of 16 layers were extracted from the collected data and employed as conditional factors for the correlation analysis and subsequent modelling. The LSMs were then divided into four levels (very high susceptibility (VH), high susceptibility (H), moderate susceptibility (M) and low susceptibility (L)). The results were verified by receiver operating characteristic (ROC) curves, Root Mean Squared Error (RMSE) and Frequency Ratio (FR). The higher of the area under ROC curve (AUC) and the lower the RMSE, the more accurate and stable the performance. Following the factor performance analysis, the optimal SVM model was linearity improved to the Trace Ratio Criterion (TRC)-SVM, with a better performance and the ability to overcome the factor defect. The comprehensive comparisons and proposed LSM can support future research, as well as local authorities in the development of landslide remission strategies.
C1 [Liu, Yue; Xu, Peihua; Cao, Chen; Zhu, Kuanxing; Ma, Qiuyang; Zhang, Zongshuo; Yin, Han] Jilin Univ, Coll Construct Engn, Changchun, Jilin, Peoples R China.
   [Shan, Bo] Northeast Elect Power Design Inst Co Ltd, Engn Dept, Changchun, Jilin, Peoples R China.
C3 Jilin University
RP Cao, C (corresponding author), Jilin Univ, Coll Construct Engn, Changchun, Jilin, Peoples R China.
EM ccao@jlu.edu.cn
TC 12
Z9 13
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PD JAN 1
PY 2021
VL 12
IS 1
BP 1973
EP 2001
DI 10.1080/19475705.2021.1955018
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000678965100001
ER

PT J
AU Zhu, MN
   Du, XX
   Zhang, XH
   Luo, H
   Wang, GQ
AF Zhu, Moning
   Du, Xiaoxia
   Zhang, Xuehua
   Luo, He
   Wang, Guoqiang
TI Multi-UAV Rapid-Assessment Task-Assignment Problem in a Post-Earthquake
   Scenario
SO IEEE ACCESS
DT Article
DE Post-earthquake; multiple unmanned aerial vehicles; rapid-assessment
   task-assignment problem; target-revisit-allowed strategy
ID PARTICLE SWARM OPTIMIZATION; UNMANNED AERIAL VEHICLES; EARTHQUAKE;
   MULTICRITERIA; CONVERGENCE; ALGORITHM; BEHAVIOR; SYSTEMS
AB The rapid assessment of earthquake-stricken regions immediately after a seismic event is crucial for earthquake relief operations. Since unmanned aerial vehicles (UAVs) can quickly reach the affected areas and obtain images, they are widely used in the post-earthquake rapid assessment. However, sensor noise and other unavoidable errors can affect the quality of images acquired by sensors attached to the UAVs, which can, in turn, reduce the quality of the assessment. We defined a new problem in the application of multiple UAVs in the rapid assessment of earthquake-stricken regions. The rapid-assessment task-assignment problem (RATAP) was used to construct the assignment plan for multiple UAVs in a rapid-assessment task while considering the weights of potential targets, the endurance of the UAVs, and the sensor errors. The RATAP was formulated as a variant of the team orienteering problem (TOP) called the revisit-allowed TOP with reward probability (RTOP-RP). We then developed an efficient hybrid particle swarm optimization with simulated annealing (HPSO-SA) algorithm, which produced a high-quality solution for the RATAP, and confirmed the effectiveness and rapidity of our algorithm through numerical experiments. Finally, we conducted a case study based on real-world data from the 2008 Wenchuan earthquake in China to demonstrate our approach.
C1 [Zhu, Moning; Luo, He; Wang, Guoqiang] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China.
   [Du, Xiaoxia; Zhang, Xuehua] Natl Earthquake Response Support Serv, Beijing 100049, Peoples R China.
   [Zhu, Moning; Luo, He; Wang, Guoqiang] Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Anhui, Peoples R China.
C3 Hefei University of Technology
RP Wang, GQ (corresponding author), Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China.; Wang, GQ (corresponding author), Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Anhui, Peoples R China.
EM luohe@hfut.edu.cn
TC 36
Z9 37
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 2169-3536
PY 2019
VL 7
BP 74542
EP 74557
DI 10.1109/ACCESS.2019.2920736
SC Computer Science; Engineering; Telecommunications
UT WOS:000472651300001
ER

PT J
AU Vanani, AAG
   Shoaei, G
   Zare, M
AF Ghaedi Vanani, Ali Asghar
   Shoaei, Gholamreza
   Zare, Mehdi
TI Statistical analyses of landslide size and spatial distribution
   triggered by 1990 Rudbar-Manjil (Mw 7.3) earthquake, northern Iran:
   revised inventory, and controlling factors
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslide size and distribution; Rudbar-Manjil earthquake; Statistical
   analysis; Controlling factors
ID 2008 WENCHUAN EARTHQUAKE; SEISMIC LANDSLIDES; GORKHA EARTHQUAKE; TAROM
   EARTHQUAKE; MOUNTAIN BELT; HAZARD; VOLUME; SUSCEPTIBILITY; CHINA; MODEL
AB This study is a revised inventory of landslides triggered by the Rudbar-Manjil earthquake (Mw = 7.3), 1990, obtained through the study of Komak Panah and Hafezi Moghadas (1993), interpretations of the stereoscopic aerial photos, and field data. We mapped the 223 coherent landslides with a total area of 11.3 km(2) and a calculated volume of 3.8 x 10(8) m(3) using a digital elevation model (DEM, 12.5 m) within the geographical information system (GIS) software. The correlation between landslide occurrence (size and distribution) and the controlling factors was analyzed using the bivariate model and the linear automated modeling (LINEAR) procedure in the SPSS software. Both LINEAR models of landslide volume (LV, m(3)) and landslide area (LA, m(2)) indicate the distance from the fault surface rupture is the most influencing factor on size prediction of coseismic landslides. The LA is more dependent on seismic factors, whereas the LV is on the lithology and topographic factors. The result of principal component analysis (PCA) model, using the GIS, showed that most landslides occurred in the red band (including 95% of the variance of controlling factors). Thus, the selected factors to investigate the landslide occurrence are valid and the PCA can be used to identify regions prone to coseismic landslides. The curves of landslide number density (LND, landslides/km(2)), landslide area percentage (LAP, landslide area/total area%), LA, and LV have a multimodal distribution (several patterns of response) by the topographic and seismic factors. It is recommended that other models be applied to better investigate the local effects of factors on the coseismic landslides.
C1 [Ghaedi Vanani, Ali Asghar; Shoaei, Gholamreza] Tarbiat Modares Univ, Engn Geol, Tehran, Iran.
   [Zare, Mehdi] Int Inst Earthquake Engn & Seismol IIEES, Engn Seismol, Tehran, Iran.
C3 Tarbiat Modares University
RP Shoaei, G (corresponding author), Tarbiat Modares Univ, Engn Geol, Tehran, Iran.
EM shoaei@modares.ac.ir
TC 11
Z9 11
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD APR
PY 2021
VL 80
IS 4
BP 3381
EP 3403
DI 10.1007/s10064-021-02106-8
EA JAN 2021
SC Engineering; Geology
UT WOS:000610509300001
ER

PT J
AU Guo, CB
   Montgomery, DR
   Zhang, YS
   Wang, K
   Yang, ZH
AF Guo, Changbao
   Montgomery, David R.
   Zhang, Yongshuang
   Wang, Ke
   Yang, Zhihua
TI Quantitative assessment of landslide susceptibility along the Xianshuihe
   fault zone, Tibetan Plateau, China
SO GEOMORPHOLOGY
DT Article
DE Landslide susceptibility; Xianshuihe fault; GIS; Landslide; Active fault
ID 2008 WENCHUAN EARTHQUAKE; LOGISTIC-REGRESSION; FREQUENCY RATIO;
   CONDITIONAL-PROBABILITY; NEURAL-NETWORKS; EVIDENCE MODEL; WEST SICHUAN;
   GIS; HAZARD; AREA
AB The Xianshuihe fault (XSF) zone is a sinistral-slip fault system on the eastern margin of the Tibetan Plateau, with high Quaternary activity and frequent historic earthquakes. Large landslides along the fault zone have caused substantial damage and are the second-most important regional hazard after earthquakes. A landslide inventory in a 7339-km(2) area along the XSF zone documented 415 landslides and evaluated landslide distribution characteristics using frequency ratio (FR) and weight-of-evidence (WOE) models to map landslide susceptibility. A total of 11 variables were analyzed as input variables: slope angle, slope aspect, altitude, planform curvature, topographic wetness index, distance from active faults, lithology, annual rainfall, distance from rivers, distance from roads, and the NDVI of the study area. Among these factors, the distance from active faults, altitude, slope angle, aspect, lithology, and rainfall were the dominant influencing factors. Assessment of six susceptibility mapping schemes with FR and WOE models using the ROC method showed that, while all six of the model schemes produced good results, on the whole, the FR model performed better than the WOE model. The landslide susceptibility map of the FR model with six variables performed as well as the WOE model with the full 11 variables. Inclusion of more variables did not necessarily translate into a better predictive capability. Several factors typically associated with susceptibility to rainfall-triggered landslides-topographic convergence, rainfall, and topographic wetness index-either did not follow expected patterns (rainfall) or were not good general predictors of landslide locations (topographic convergence and wetness index). In contrast distance to active faults, slope aspect, and topographic divergence were the best predictors as measured by the FR method. This combination points to earthquakes rather than rainfall as the dominant landslide-triggering mechanism in the study area. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Guo, Changbao; Zhang, Yongshuang; Wang, Ke; Yang, Zhihua] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
   [Guo, Changbao; Zhang, Yongshuang; Yang, Zhihua] Minist Land & Resources, Key Lab Neotecton Movement & Geohazard, Beijing 100081, Peoples R China.
   [Montgomery, David R.] Univ Washington, Dept Earth & Space Sci, Seattle, WA 98195 USA.
C3 China Geological Survey; Institute of Geomechanics, Chinese Academy of
   Geological Sciences; Chinese Academy of Geological Sciences; Ministry of
   Natural Resources of the People's Republic of China; University of
   Washington; University of Washington Seattle
RP Guo, CB (corresponding author), Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
EM guochangbao@cags.ac.cn
TC 128
Z9 167
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD NOV 1
PY 2015
VL 248
BP 93
EP 110
DI 10.1016/j.geomorph.2015.07.012
SC Physical Geography; Geology
UT WOS:000361867900008
ER

PT J
AU Semlali, BEB
   Molina, C
   Park, H
   Camps, A
AF Semlali, Badr-Eddine Boudriki
   Molina, Carlos
   Park, Hyuk
   Camps, Adriano
TI First Results on the Systematic Search of Land Surface Temperature
   Anomalies as Earthquakes Precursors
SO REMOTE SENSING
DT Article
DE LST; time series; anomalies; earthquake precursors; big data analysis
ID WENCHUAN EARTHQUAKE; SATELLITE DATA; MODIS
AB Every year, earthquakes cause thousands of casualties and high economic losses. For example, in the time frame from 1998 to 2018, the total number of casualties due to earthquakes was larger than 846 thousand people, and the recorded economic losses were about USD 661 billion. At present, there are no earthquake precursors that can be used to trigger a warning. However, some studies have analyzed land surface temperature (LST) anomalies as a potential earthquake precursor. In this study, a large database of global LST data from the Geostationary Operational Environmental Satellite (GOES) and AQUA satellites during the whole year 2020 has been used to study the LST anomalies in the areas affected by earthquakes. A total of 1350 earthquakes with a magnitude larger than M4 were analyzed. Two methods widely used in the literature have been used to detect LST anomalies in the detrended LST time series: the interquartile (IQT) method and the standard deviation (STD). To the authors' knowledge, it is the first time that the confusion matrix (CM), the receiver operating characteristic curve (ROC), and some other figures of merit (FoM) are used to assess and optimize the performance of the methods, and to select the optimum combination that could be used as a proxy for their occurrence. A positive anomaly was found a few days before the studied earthquakes, followed by the LST decrease after the event. Further studies over larger regions and more extended periods will be needed to consolidate these encouraging results.
C1 [Semlali, Badr-Eddine Boudriki; Molina, Carlos; Park, Hyuk; Camps, Adriano] Univ Politecn Catalunya BarcelonaTech, Dept Signal Theory & Commun, CommSensLab UPC, Barcelona 08034, Spain.
   [Molina, Carlos; Park, Hyuk; Camps, Adriano] Inst Estudis Espacials Catalunya, IEEC, Barcelona 08034, Spain.
   [Park, Hyuk] Univ Politecn Catalunya BarcelonaTech, Dept Phys, Castelldefels 08860, Spain.
   [Camps, Adriano] UAE Univ, Coll Engn, POB 15551, Al Ain, U Arab Emirates.
C3 Universitat Politecnica de Catalunya; Institut d'Estudis Espacials de
   Catalunya (IEEC); Universitat Politecnica de Catalunya; United Arab
   Emirates University
RP Semlali, BEB (corresponding author), Univ Politecn Catalunya BarcelonaTech, Dept Signal Theory & Commun, CommSensLab UPC, Barcelona 08034, Spain.
EM badr-eddine.boudriki.semlali@upc.edu
TC 13
Z9 14
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD FEB
PY 2023
VL 15
IS 4
AR 1110
DI 10.3390/rs15041110
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000941837300001
ER

PT J
AU Li, Y
   Ming, DP
   Zhang, L
   Niu, YY
   Chen, YY
AF Li, Yan
   Ming, Dongping
   Zhang, Liang
   Niu, Yunyun
   Chen, Yangyang
TI Seismic Landslide Susceptibility Assessment Using Newmark Displacement
   Based on a Dual-Channel Convolutional Neural Network
SO REMOTE SENSING
DT Article
DE landslide; landslide susceptibility assessment; convolutional neural
   network (CNN); Newmark; earthquake
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; LUSHAN EARTHQUAKE; MODEL;
   MOTION
AB Landslide susceptibility assessment (LSA) is an essential tool for landslide hazard warning. The selection of earthquake-related factors is pivotal for seismic LSA. In this study, Newmark displacement (Dn) is employed as the earthquake-related factor, providing a detailed representation of seismic characteristics. On the algorithmic side, a dual-channel convolutional neural network (CNN) model is built, and the last classification layer is replaced with two machine learning (ML) models to facilitate the extraction of deeper features related to landslide development. This research focuses on Beichuan County in Sichuan Province, China. Fifteen landslide predisposing factors, including hydrological, geomorphic, geological, vegetation cover, anthropogenic, and earthquake-related features, were extensively collected. The results demonstrate some specific issues. Dn outperforms conventional earthquake-related factors such as peak ground acceleration (PGA) and Arias intensity (Ia) in capturing seismic influence on landslide development. Under the same conditions, the OA improved by 5.55% and AUC improved by 0.055 compared to the PGA; the OA improved by 3.2% and AUC improved by 0.0327 compared to the Ia. The improved CNN outperforms ML models. Under the same conditions, the OA improved by 4.69% and AUC improved by 0.0467 compared to RF; the OA improved by 4.47% and AUC improved by 0.0447 compared to SVM. Additionally, historical landslides validate the reasonableness of the landslide susceptibility maps. The proposed method exhibits a high rate of overlap with the historical landslide inventory. The proportion of historical landslides in the very high and high susceptibility zones exceeds 87%. The method not only enhances accuracy but also produces a more fine-grained susceptibility map, providing a reliable basis for early warning of seismic landslides.
C1 [Li, Yan; Ming, Dongping; Zhang, Liang; Niu, Yunyun] China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China.
   [Ming, Dongping] China Univ Geosci Beijing, Frontiers Sci Ctr Deep Time Digital Earth, Beijing 100083, Peoples R China.
   [Ming, Dongping] China Univ Geosci Beijing, Key Lab Intraplate Volcanoes & Earthquakes, Minist Educ, Beijing 100083, Peoples R China.
   [Chen, Yangyang] China Aero Geophys Survey & Remote Sensing Ctr Nat, Beijing 100083, Peoples R China.
C3 China University of Geosciences; China University of Geosciences; China
   University of Geosciences
RP Ming, DP (corresponding author), China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China.; Ming, DP (corresponding author), China Univ Geosci Beijing, Frontiers Sci Ctr Deep Time Digital Earth, Beijing 100083, Peoples R China.; Ming, DP (corresponding author), China Univ Geosci Beijing, Key Lab Intraplate Volcanoes & Earthquakes, Minist Educ, Beijing 100083, Peoples R China.
EM liyan98@email.cugb.edu.cn; mingdp@cugb.edu.cn;
   zhangliang96@email.cugb.edu.cn; yniu@cugb.edu.cn;
   3004180003@email.cugb.edu.cn
TC 10
Z9 11
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD FEB
PY 2024
VL 16
IS 3
AR 566
DI 10.3390/rs16030566
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001160133400001
ER

PT J
AU Wang, T
   Liu, XF
   Yuan, SY
   Hou, ZX
   Zhang, J
   Xu, JH
   Li, JG
   Jiang, GL
   Hu, JS
AF Wang, Tong
   Liu, Xian-feng
   Yuan, Sheng-yang
   Hou, Zhao-xu
   Zhang, Jun
   Xu, Jia-hang
   Li, Jian-guo
   Jiang, Guan-lu
   Hu, Jin-shan
TI Shaking Table Test on the Seismic Behavior of Fractured Rock Slopes with
   Dipping and Anti-dipping Layered Structures
SO JOURNAL OF TESTING AND EVALUATION
DT Article
DE seismic behavior; shaking table test; failure mode; Hilbert-Huang
   transform analysis
ID 2008 WENCHUAN EARTHQUAKE; DYNAMIC STABILITY; LANDSLIDES; MODE
AB Rock slopes with layered fractured structure are widely distributed in the mountainous areas of Southwest China. Under earthquake, these slopes are highly susceptible to disasters such as collapse, landslides, etc., adversely impacting the operation safety of transportation systems. This study aims to investigate the difference in seismic behaviors of two types of fractured rock slopes with typical dipping and anti-dipping layered structures. To do so, two sets of large-scale shaking table tests on the two typical fractured rock slopes were performed. The emphasis was made on the different failure mechanism of these slopes tested when subjected to four different seismic loadings with step-wise increase in amplitudes up to 0.7 g. We observed a three-stage destabilization process in both cases. For the dipping slope, the initial formation of microcracks and then their rapid development was followed by generation of terraced sliding surface through slope, whereas the formation of microcracks was followed by toppling of rock front until final collapse for the anti-dipping slope. Both slopes exhibit elevation amplification effects upon seismic loads as previously observed in other studies of similar slopes. The acceleration amplification effects near the bedrock interface and within slopes are more significant in the dipping case compared to the anti-dipping one. These effects are much enhanced at the top of slopes considered when the peak input acceleration exceeds 0.4 g. Further, Hilbert marginal spectrum analysis indicates that a sliding failure surface above the midslope was formed for the dipping slope, whereas the anti-dipping slope experienced more severe damages at the slope shoulder. The outcomes of this study are of important potential to assist the risk assessment and early warning of seismic hazards of fractured rock slopes.
C1 [Wang, Tong; Liu, Xian-feng; Yuan, Sheng-yang; Hou, Zhao-xu; Zhang, Jun; Xu, Jia-hang; Li, Jian-guo; Jiang, Guan-lu] Southwest Jiaotong Univ, Sch Civil Engn, 111,Sect 1 North Second Ring Rd, Chengdu 610031, Sichuan, Peoples R China.
   [Wang, Tong; Liu, Xian-feng; Yuan, Sheng-yang; Hou, Zhao-xu; Zhang, Jun; Xu, Jia-hang; Li, Jian-guo; Jiang, Guan-lu] Southwest Jiaotong Univ, Key Lab High Speed Railway Engn, Minist Educ, 111,Sect 1 North Second Ring Rd, Chengdu 610031, Sichuan, Peoples R China.
   [Liu, Xian-feng] Xinjiang Inst Engn, Sch Civil Engn, 1350 Aiding Lake Rd, Urumqi 830023, Xinjiang, Peoples R China.
   [Hu, Jin-shan] China Railway First Survey & Design Inst Grp Co Lt, 2 Xiying Rd, Xian 710043, Shaanxi, Peoples R China.
C3 Southwest Jiaotong University; Southwest Jiaotong University; Xinjiang
   Institute of Engineering
RP Liu, XF (corresponding author), Southwest Jiaotong Univ, Sch Civil Engn, 111,Sect 1 North Second Ring Rd, Chengdu 610031, Sichuan, Peoples R China.; Liu, XF (corresponding author), Southwest Jiaotong Univ, Key Lab High Speed Railway Engn, Minist Educ, 111,Sect 1 North Second Ring Rd, Chengdu 610031, Sichuan, Peoples R China.; Liu, XF (corresponding author), Xinjiang Inst Engn, Sch Civil Engn, 1350 Aiding Lake Rd, Urumqi 830023, Xinjiang, Peoples R China.
EM xianfeng.liu@swjtu.edu.cn
TC 1
Z9 1
PU AMER SOC TESTING MATERIALS
PI W CONSHOHOCKEN
PA 100 BARR HARBOR DR, W CONSHOHOCKEN, PA 19428-2959 USA
SN 0090-3973
EI 1945-7553
PY 2024
VL 52
IS 5
BP 3033
EP 3053
DI 10.1520/JTE20240027
EA AUG 2024
SC Materials Science
UT WOS:001292058900001
ER

PT J
AU Shu, YM
   Fang, RX
   Liu, Y
   Ding, D
   Qiao, LL
   Li, GX
   Liu, JN
AF Shu, Yuanming
   Fang, Rongxin
   Liu, Yang
   Ding, Dong
   Qiao, Lulu
   Li, Guangxue
   Liu, Jingnan
TI Precise coseismic displacements from the GPS variometric approach using
   different precise products: Application to the 2008 Mw 7.9
   Wenchuan earthquake
SO ADVANCES IN SPACE RESEARCH
DT Article
DE GPS variometric approach; IGS precise products; Coseismic displacements;
   Clock sampling interval
ID SEISMOLOGY; ORBIT
AB The Global Positioning System (GPS) variometric approach has emerged as an attractive alternative to traditional well-developed positioning techniques including relative positioning and precise point positioning. Previous studies have demonstrated the capability of the variometric approach to retrieve coseismic displacements at centimeter-level precision, in a real-time manner using only readily available broadcast ephemeris. This study presents the first results comparing the performance of the variometric approach by using a variety of precise satellite orbit and clock products. Totally six kinds of products are included in our evaluation, namely the broadcast, IGS (International GNSS Service) ultra-rapid (predicted), ultra-rapid (observed), rapid, final (30-s clock) and CODE (Center for Orbit Determination in Europe) final (5-s clock) products. Static and dynamic experiments are conducted using 1-Hz GPS data covering a relatively large area in China during the 2008 Wenchuan M-w 7.9 earthquake. After removing the linear trend, the displacements using broadcast, ultra-rapid (predicted), ultra-rapid (observed) and rapid products reach nearly equivalent precisions at centimeter level. By using final and CODE final products, the precision of displacements can be significantly improved from 1.9-2.0 cm to 0.4-0.7 cm horizontally, and from 6.0-6.2 cm to 1.0-1.7 cm vertically for the dynamic experiments. The displacements using the CODE final products achieve the best precision, improved by more than 40% compared to those using the IGS final products. With the availability of IGS high-rate real-time precise products, this approach is promising to capture coseismic displacements more precisely in real time, which is crucial for earthquake and tsunami early warning. (C) 2020 COSPAR. Published by Elsevier Ltd. All rights reserved.
C1 [Shu, Yuanming; Ding, Dong; Qiao, Lulu; Li, Guangxue] Ocean Univ China, Coll Marine Geosci, Qingdao 266100, Peoples R China.
   [Shu, Yuanming; Ding, Dong; Qiao, Lulu; Li, Guangxue] Minist Educ, Key Lab Submarine Geosci & Prospecting Tech, Qingdao 266100, Peoples R China.
   [Fang, Rongxin; Liu, Jingnan] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China.
   [Liu, Yang] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China.
C3 Ocean University of China; Wuhan University; First Institute of
   Oceanography, Ministry of Natural Resources; Ministry of Natural
   Resources of the People's Republic of China
RP Fang, RX (corresponding author), Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China.
EM rxfang@whu.edu.cn
TC 6
Z9 7
PU ELSEVIER SCI LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
SN 0273-1177
EI 1879-1948
PD MAY 15
PY 2020
VL 65
IS 10
BP 2360
EP 2371
DI 10.1016/j.asr.2020.02.013
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:000533505500010
ER

PT J
AU Zhang, JQ
   van Westen, CJ
   Tanyas, H
   Mavrouli, O
   Ge, YG
   Bajrachary, S
   Gurung, DR
   Dhital, MR
   Khanal, NR
AF Zhang, Jianqiang
   van Westen, Cees J.
   Tanyas, Hakan
   Mavrouli, Olga
   Ge, Yonggang
   Bajrachary, Samjwal
   Gurung, Deo Raj
   Dhital, Megh Raj
   Khanal, Narendral Raj
TI How size and trigger matter: analyzing rainfall- and
   earthquake-triggered landslide inventories and their causal relation in
   the Koshi River basin, central Himalaya
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID 2008 WENCHUAN EARTHQUAKE; LOGISTIC-REGRESSION; MOUNTAIN BELT; EROSION;
   SEDIMENT; TOPOGRAPHY; PREDICTION; EVOLUTION; DATABASE; VOLUMES
AB Inventories of landslides caused by different triggering mechanisms, such as earthquakes, extreme rainfall events or anthropogenic activities, may show different characteristics in terms of distribution, contributing factors and frequency-area relationships. The aim of this research is to study such differences in landslide inventories and the effect they have on landslide susceptibility assessment. The study area is the watershed of the transboundary Koshi River in the central Himalaya, shared by China, Nepal and India. Detailed landslide inventories were generated based on visual interpretation of remote-sensing images and field investigation for different time periods and triggering mechanisms. Maps and images from the period 1992 to 2015 were used to map 5858 rainfall-triggered landslides, and after the 2015 Gorkha earthquake, an additional 14 127 coseismic landslides were mapped. A set of topographic, geological and land cover factors were employed to analyze their correlation with different types and sizes of landslides. The frequency-area distributions of rainfall-and earthquake-triggered landslides (ETLs) have a similar cutoff value and power-law exponent, although the ETLs might have a larger frequency of a smaller one. In addition, topographic factors varied considerably for the two triggering events, with both altitude and slope angle showing significantly different patterns for rainfall-triggered and earthquake-triggered landslides. Landslides were classified into two size groups, in combination with the main triggering mechanism (rainfall-or earthquake-triggered). Susceptibility maps for different combinations of landslide size and triggering mechanism were generated using logistic regression analysis. The different triggers and sizes of landslide data were used to validate the models. The results showed that susceptible areas for small- and large-size rainfall-and earthquake-triggered landslides differed substantially.
C1 [Zhang, Jianqiang; Ge, Yonggang] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Sichuan, Peoples R China.
   [Zhang, Jianqiang; van Westen, Cees J.; Tanyas, Hakan; Mavrouli, Olga] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Bajrachary, Samjwal; Gurung, Deo Raj] Int Ctr Integrated Mt Dev ICIMOD, Lalitpur, Nepal.
   [Dhital, Megh Raj] Dept Geol, Trichandra Multiple Campus, Kathmandu, Nepal.
   [Khanal, Narendral Raj] Tribhuvan Univ, Cent Dept Geog, Kathmandu, Nepal.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; University of Twente; Tribhuvan University
RP Zhang, JQ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Sichuan, Peoples R China.; Zhang, JQ (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
EM zhangjq@imde.ac.cn
TC 35
Z9 41
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
EI 1684-9981
PD AUG 15
PY 2019
VL 19
IS 8
BP 1789
EP 1805
DI 10.5194/nhess-19-1789-2019
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000481730900002
ER

PT J
AU Mao, SJ
   Campillo, M
   van der Hilst, RD
   Brenguier, F
   Stehly, L
   Hillers, G
AF Mao, Shujuan
   Campillo, Michel
   van der Hilst, Robert D.
   Brenguier, Florent
   Stehly, Laurent
   Hillers, Gregor
TI High Temporal Resolution Monitoring of Small Variations in Crustal
   Strain by Dense Seismic Arrays
SO GEOPHYSICAL RESEARCH LETTERS
DT Article
ID 7.9 WENCHUAN EARTHQUAKE; VELOCITY CHANGES; DEPTH SENSITIVITY; PITON;
   CODA; FAULT; PERTURBATIONS; DEFORMATION; STABILITY; SURFACE
AB We demonstrate the feasibility of detecting very weak deformation in the shallow crust with high temporal resolution by monitoring the relative changes in seismic wave velocity (dv/v) using dense arrays of seismometers. We show that the dv/v variations are consistent between independent measurements from two seismic arrays. Dominant peaks in the observed dv/v spectrum suggest that tides and temperature changes are the major causes of daily and subdaily velocity changes, in accordance with theoretical strain modeling. Our analysis illustrates that dv/v perturbations of the order of 10(-4), corresponding to crustal strain changes of the order of 10(-8), can be measured from ambient seismic noise with a temporal resolution of 1hr. This represents a low-cost technique for high precision and high time-resolution monitoring of crustal deformation that is complementary to existing geodetic measurements and is instrumental in both the detection and understanding of low-amplitude precursory processes of natural catastrophic events.
   Plain Language Summary Theoretical and laboratory studies have shown that the onset of earthquakes, landslides, and volcanic eruptions is often preceded by a so-called initiation phase. Detecting such a precursory phenomenon will help in the prediction, early warning, or assessment of catastrophic geological events. The time scale and amplitude of these precursory evolutions are not well known, however, and their detection and characterization require monitoring techniques with both high precision and high temporal resolution. We present here an approach to monitor the elastic properties of crustal rocks using continuous recordings of ambient seismic noise by networks of dense autonomous sensors. We show that this technique allows the monitoring at a temporal resolution of 1hr for crustal strain variations of the order of 10(-8), namely, the deformation associated with tides. This technique can be used in concert with existing geodetic techniques for understanding and detecting transient crustal deformation.
C1 [Mao, Shujuan; Campillo, Michel; van der Hilst, Robert D.] MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
   [Campillo, Michel; Brenguier, Florent; Stehly, Laurent; Hillers, Gregor] Univ Grenoble Alpes, CNRS, IRD, ISTerre, Gieres, France.
   [Hillers, Gregor] Univ Helsinki, Inst Seismol, Helsinki, Finland.
C3 Massachusetts Institute of Technology (MIT); Communaute Universite
   Grenoble Alpes; Universite Grenoble Alpes (UGA); Centre National de la
   Recherche Scientifique (CNRS); Institut de Recherche pour le
   Developpement (IRD); Universite Gustave-Eiffel; Universite Savoie Mont
   Blanc; University of Helsinki
RP Mao, SJ (corresponding author), MIT, Dept Earth Atmospher & Planetary Sci, Cambridge, MA 02139 USA.
EM maos@mit.edu
TC 74
Z9 84
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0094-8276
EI 1944-8007
PD JAN 16
PY 2019
VL 46
IS 1
BP 128
EP 137
DI 10.1029/2018GL079944
SC Geology
UT WOS:000456938600015
ER

PT J
AU Li, N
   Niu, SL
   Guo, ZW
   Wu, L
   Zhao, JH
   Min, L
   Ge, DQ
   Chen, JQ
AF Li, Ning
   Niu, Shilin
   Guo, Zhengwei
   Wu, Lin
   Zhao, Jianhui
   Min, Lin
   Ge, Daqing
   Chen, Jiaqi
TI Dynamic Waterline Mapping of Inland Great Lakes Using Time-Series SAR
   Data From GF-3 and S-1A Satellites: A Case Study of DJK Reservoir, China
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Radar polarimetry; Reservoirs; Lakes; Satellites; Remote sensing;
   Monitoring; Danjiangkou (DJK) reservoir; Gaofen-3 (GF-3) and Sentinel-1A
   (S-1A) satellites; strategy of division in local regions (SDLR);
   waterline mapping
ID SURFACE-WATER; POYANG LAKE; DANJIANGKOU RESERVOIR; WENCHUAN EARTHQUAKE;
   LAND-USE; IMAGES; SEGMENTATION; DELTA; AREA; ALGORITHM
AB Great inland freshwater lakes play an important role in regulating inland water resources, and the usage of synthetic aperture radar (SAR) images for the accurate waterline mapping is an effective technical means to study the dynamic changes of great inland lakes. In this article, the Danjiangkou (DJK) reservoir is selected as a study case, and a novel waterline mapping method with four main parts is proposed to monitor the water area dynamically. First, a coarse segmentation method is implemented to extract the initial waterline. Second, a strategy of division in local regions is given to speed up the subsequent processes. Third, a combination of a speckle filter and an improved geometric active contour model is used for refined segmentation. Finally, a change detection method is used to study the changing lake. Furthermore, six SAR images obtained by the Gaofen-3 (GF-3) and Sentinel-1A (S-1A) satellites in the DJK reservoir, Hongze lake and Poyang lake are tested to verify the universality of the proposed water area extraction method. The results demonstrate excellent performances with an accuracy of over 97 and an average contour offset under 0.7 pixels. Besides, the time-series analysis of the DJK reservoir is applied based on the mapped waterlines of 37 SAR images collected from January to December in 2017. Comparing with the changing tendency of the water level surveyed in the DJK reservoir, the waterline mapping results and the filed survey data have great consistency, which further proves the validity of the proposed method, also presents the significant potential of the GF-3 and S-1A SAR images for managing the water resource.
C1 [Li, Ning; Niu, Shilin; Guo, Zhengwei; Wu, Lin; Zhao, Jianhui] Henan Univ, Coll Comp & Informat Engn, Key Lab Big Data Anal & Proc Henan Prov, Kaifeng 475004, Peoples R China.
   [Li, Ning; Niu, Shilin; Guo, Zhengwei; Wu, Lin; Zhao, Jianhui] Henan Univ, Henan Engn Res Ctr Intelligent Technol & Applicat, Kaifeng 475004, Peoples R China.
   [Min, Lin] Henan Univ, Network Informat Ctr Off, Kaifeng 475004, Peoples R China.
   [Ge, Daqing] China Aero Geophys Surveying & Remote Sensing Ctr, Beijing 100083, Peoples R China.
   [Chen, Jiaqi] Hohai Univ, Coll Comp & Informat Engn, Nanjing 210098, Peoples R China.
C3 Henan University; Henan University; Henan University; Hohai University
RP Li, N (corresponding author), Henan Univ, Coll Comp & Informat Engn, Key Lab Big Data Anal & Proc Henan Prov, Kaifeng 475004, Peoples R China.; Li, N (corresponding author), Henan Univ, Henan Engn Res Ctr Intelligent Technol & Applicat, Kaifeng 475004, Peoples R China.
EM lining_nuaa@163.com; nsl1993@foxmail.com; henugzw@foxmail.com;
   henuwl@henu.edu.cn; jhzhao@henu.edu.cn; mlin@henu.edu.cn;
   survery@sina.com; jiaqichen@hhu.edu.cn
TC 16
Z9 19
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PD NOV
PY 2019
VL 12
IS 11
BP 4297
EP 4314
DI 10.1109/JSTARS.2019.2952902
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000508437700012
ER

PT J
AU Hu, GS
   Chen, NS
   Tanoli, JI
   You, Y
   Li, J
AF Hu, Gui-Sheng
   Chen, Ning-Sheng
   Tanoli, Javed Iqbal
   You, Yong
   Li, Jun
TI Case Study of the Characteristics and Dynamic Process of July 10, 2013,
   Catastrophic Debris Flows in Wenchuan County, China
SO Earth Sciences Research Journal
DT Article
DE Debris flow; dynamic process; the block and burst characteristics;
   prevention and cure measures
ID RUNOUT CHARACTERISTICS; RAINFALL THRESHOLD; EARTHQUAKE; SICHUAN;
   SIMULATION; VALLEY; AREA
AB The Wenchuan earthquake of May 12, 2008, generated a significant amount of loose solid material that can produce devastating debris flows. In the five years since the earthquake, there have been many large-scale individual and group catastrophic debris flows that have caused lots of damage to the resettled population and the reconstruction efforts. The reconstructed towns of Yingxiu, Yinxing and Miansi have suffered debris flows and other secondary disasters in the past five years and are still not out of danger in the future. A debris-flow catastrophic event hit four towns of Wenchuan County along the Duwen Highway, part of China's National Highway 213, at midnight on July 10, 2013, following a local extreme rainfall of 176.2mm 24h-1. The debris flows occurred simultaneously along seven gullies. A total of 15000 people were affected due to the destruction of resettlement areas, factories, power stations, and houses. Because of this devastating event, traffic along the Duwen highway was completely disrupted during the disaster and recovery period. The present study focuses on the Lianshan Bridge debris flow gully; the disaster characteristics and cause of the debris flow were analyzed based on field investigations, remote sensing interpretation, and laboratory experiments. The particular dynamic parameters of the debris flow were calculated and analyzed including density, velocity, discharge, total volume and impact force. Also, the dynamic processes and changes that occurred in the debris flow were examined, and the block and burst characteristics of debris flow were studied based on statistical calculation and analysis dynamic characteristic parameters of debris flow. Finally, a program to prevent further debris flow was proposed according to the on-site investigation and based on the analysis of the features and dynamic processes of the debris flow.
C1 [Hu, Gui-Sheng; Chen, Ning-Sheng; Tanoli, Javed Iqbal; You, Yong; Li, Jun] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
   [Tanoli, Javed Iqbal] COMSATS Inst Informat Technol, Dept Earth Sci, Abbottabad 22060, Pakistan.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; COMSATS University Islamabad (CUI)
RP Chen, NS (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu 610041, Peoples R China.
EM huguisheng@imde.ac.cn; chennsh@imde.ac.cn
TC 7
Z9 8
PU UNIV NACIONAL DE COLOMBIA
PI BOGOTA
PA EDIFICIO MANUAL ANCIZAR AA, BOGOTA, 14490, COLOMBIA
SN 1794-6190
PD JUN
PY 2016
VL 20
IS 2
DI 10.15446/esrj.v20n2.48026
SC Geology
UT WOS:000392804600006
ER

PT J
AU Yi, YN
   Zhang, WC
AF Yi, Yaning
   Zhang, Wanchang
TI A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide
   Detection From Single-Temporal RapidEye Satellite Imagery
SO IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE
   SENSING
DT Article
DE Terrain factors; Earthquakes; Remote sensing; Training; Rocks; Earth;
   Adaptive optics; Convolutional neural network (CNN); deep learning;
   landslide detection; LandsNet; RapidEye; remote sensing
ID SPATIAL-DISTRIBUTION; JIUZHAIGOU EARTHQUAKE; WENCHUAN EARTHQUAKE;
   SICHUAN PROVINCE; EXTRACTION; INVENTORY; LUSHAN; CLASSIFICATION;
   NETWORK; REGION
AB Accurate landslide detection and mapping are essential for land use planning, managementassessment, and geo-disaster risk mitigation as well as post-disaster reconstructions. Till now, visual interpretation and field survey are still the most widely adopted techniques for landslide mapping, which are often criticized labor-intensive, time-consuming, and costly. With the rapid advancement of artificial intelligence, deep-learning-based approach for landslide detection and mapping has drawn great attention for its significant advantages over the traditional techniques. However, lack of sufficient training samples has constrained the application of deep-learning-based approach in landslide detection from satellite images for a long time. The present study aimed to examine the feasibility of a new deep-learning-based approach to intelligently detect and map earthquake-triggered landslides from single-temporal RapidEye satellite images. Specifically, the proposed approach consists of three steps. First of all, a standard data preprocessing workflow to automatically generate training samples was designed and some data augmentation strategies were implemented to alleviate the lack of training samples. Then, a cascaded end-to-end deep learning network, namely LandsNet, was constructed to learn various features of landslides. Finally, the identified landslide maps were further optimized with morphological processing. Experiments in two spatially independent earthquake-affected regions showed our proposed approach yielded the best F1 value of about 86.89, which was about 7 and 8 higher than that obtained by ResUNet and DeepUNet, respectively. Comparative studies on the feasibility and robustness of the proposed approach with ResUNet and DeepUNet demonstrated its strong application potentials in the emergency response of natural disasters.
C1 [Yi, Yaning; Zhang, Wanchang] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
   [Yi, Yaning; Zhang, Wanchang] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Aerospace Information Research Institute,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS
RP Zhang, WC (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.
EM yiyn@radi.ac.cn; zhangwc@radi.ac.cn
TC 101
Z9 112
PU IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
PI PISCATAWAY
PA 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
SN 1939-1404
EI 2151-1535
PY 2020
VL 13
BP 6166
EP 6176
DI 10.1109/JSTARS.2020.3028855
SC Engineering; Physical Geography; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000583501200004
ER

PT J
AU Zhang, ZL
   Wang, T
   Wu, SR
AF Zhang Ze-lin
   Wang Tao
   Wu Shu-ren
TI Distribution and features of landslides in the Tianshui Basin, Northwest
   China
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Loess Plateau; Landslide distribution; large-scale landslide; landslide
   types; slide distance; Qinling fault
ID WENCHUAN EARTHQUAKE; GANSU PROVINCE; HEAVY RAINFALL; DEBRIS FLOW; LOESS;
   DEFORMATION; INVENTORY; MECHANISM; AVALANCHE; HAZARD
AB Landslides in Tianshui Basin, Gansu Province, Northwest China, severely affect the local population and the economy; therefore, understanding their evolution and kinematics is of great interest for landslide risk assessment and prevention. However, there is no unified classification standard for the types of loess landslides in Tianshui. In this study, we explored the landslide distribution and failure characteristics by means of field investigation, remote sensing interpretation, geological mapping, drilling exploration and shearwave velocity tests, and established a database of Tianshui landslides. Our analysis shows that shear zones in mudstone usually develop in weak intercalated layers. Landslides occur mainly along the West Qinling faults on slopes with gradients of 10 degrees to 25 degrees and on southeast- and southwest-facing slopes. These landslides were classified into five types: loess landslides, loess-mudstone interface landslides, loess flow-slides, loess-mudstone plane landslides and loess-mudstone cutting landslides. We discussed the evolution and failure process of each landslide type and analyzed the formation mechanism and motion characteristics of large-scale landslides. The analysis results show that the landslides in the study area are characterized by a gentle slope, long runout and high risk. The relationship between the runout L and the vertical drop H of the large-scale landslides in the study area is L > 4H. There are good correlations between the equivalent friction coefficient of largescale landslides and their maximum height, runout, area and volume. The sliding zone of large-scale landslides often develops in the bedrock contact zone or in a weak interlayer within mudstone. From microstructure analysis, undisturbed mudstone consists mainly of small aggregates with dispersed inter-aggregate pores, whereas sheared clay has a more homogeneous structure. Linear striations are well developed on shear surfaces, and the clay pores in those surfaces have a more uniform distribution than those in undisturbed clay.
C1 [Zhang Ze-lin] China Agr Univ, Beijing 100083, Peoples R China.
   [Wang Tao; Wu Shu-ren] Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China.
C3 China Agricultural University; China Geological Survey; Chinese Academy
   of Geological Sciences; Institute of Geomechanics, Chinese Academy of
   Geological Sciences
RP Zhang, ZL (corresponding author), China Agr Univ, Beijing 100083, Peoples R China.
EM 249133236@qq.com; 58227005@qq.com; 18601257415@163.com
TC 22
Z9 26
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD MAR
PY 2020
VL 17
IS 3
BP 686
EP 708
DI 10.1007/s11629-019-5595-4
SC Environmental Sciences & Ecology
UT WOS:000519163500014
ER

PT J
AU Zhou, HF
   Liu, B
   Ye, F
   Fu, WX
   Tang, WQ
   Qin, YD
   Fang, T
AF Zhou Hong-fu
   Liu Bin
   Ye Fei
   Fu Wen-xi
   Tang Wen-qing
   Qin Ya-dong
   Fang Tian
TI Landslide distribution and sliding mode control along the Anninghe fault
   zone at the eastern edge of the Tibetan Plateau
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Tibetan Plateau; Anninghe fault zone; Landslide distribution; Sliding
   mode control
ID 2008 WENCHUAN EARTHQUAKE; SLOPE; SUSCEPTIBILITY
AB Tibetan Plateau is known as the roof of the world. Due to the continuous uplift of the Tibetan Plateau, many active fault zones are present. These active fault zones such as the Anninghe fault zone have a significant influence on the formation of special geomorphology and the distribution of geological hazards at the eastern edge of the Tibetan Plateau. The Anninghe fault zone is a key part of the Y-shaped fault pattern in the Sichuan-Yunnan block of China. In this paper, high-resolution topographic data, multitemporal remote sensing images, numerical calculations, seismic records, and comprehensive field investigations were employed to study the landslide distribution along the active part of the Anninghe. The influence of active faults on the lithology, rock mass structures and slope stress fields were also studied. The results show that the faults within the Anninghe fault zone have damaged the structure and integrity of the slope rock mass, reduced the mechanical strength of the rock mass and controlled the slope failure modes. The faults have also controlled the stress field, the distribution of the plastic strain zone and the maximum shear strain zone of the slope, thus have promoted the formation and evolution of landslides. We find that the studied landslides are linearly distributed along the Anninghe fault zone, and more than 80% of these landslides are within 2-3 km of the fault rupture zone. Moreover, the Anninghe fault zone provides abundant substance for landslides or debris flows. This paper presents four types of sliding mode control of the Anninghe fault zone, e.g., constituting the whole landslide body, controlling the lateral boundary of the landslide, controlling the crown of the landslide, and constituting the toe of the landslide. The results presented merit close attention as a valuable reference source for local infrastructure planning and engineering projects.
C1 [Zhou Hong-fu; Tang Wen-qing; Qin Ya-dong; Fang Tian] China Geol Survey, Chengdu Ctr, Chengdu, Peoples R China.
   [Liu Bin] Sichuan Geol Survey, Chengdu 610081, Peoples R China.
   [Ye Fei; Fu Wen-xi] Sichuan Univ, State Key Lab Hydraul & Mt Rivers Protect, Chengdu 610065, Peoples R China.
   [Zhou Hong-fu; Fang Tian] Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China.
C3 China Geological Survey; Chengdu Center, China Geological Survey;
   Sichuan University; Shandong University of Science & Technology
RP Zhou, HF (corresponding author), China Geol Survey, Chengdu Ctr, Chengdu, Peoples R China.; Zhou, HF (corresponding author), Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China.
EM zhf800726@163.com; 120601211@qq.com; yefei16scu@163.com;
   wxf_lee@scu.edu.cn; 1012109094@qq.com; qinyadong86@163.com;
   2696837959@qq.com
TC 18
Z9 20
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD AUG
PY 2021
VL 18
IS 8
BP 2094
EP 2107
DI 10.1007/s11629-020-6573-6
SC Environmental Sciences & Ecology
UT WOS:000681747700009
ER

PT J
AU Campbell, GE
   Walker, RT
   Abdrakhmatov, K
   Jackson, J
   Elliott, JR
   Mackenzie, D
   Middleton, T
   Schwenninger, JL
AF Campbell, G. E.
   Walker, R. T.
   Abdrakhmatov, K.
   Jackson, J.
   Elliott, J. R.
   Mackenzie, D.
   Middleton, T.
   Schwenninger, J. -L.
TI Great earthquakes in low strain rate continental interiors: An example
   from SE Kazakhstan
SO JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
DT Article
DE low strain rate faulting; continental interior faulting; neotectonics;
   tectonic geomorphology; late Quaternary dating; remote sensing
ID 7.9 WENCHUAN EARTHQUAKE; NORTHERN TIEN-SHAN; STRIKE-SLIP-FAULT;
   CENTRAL-ASIA; SURFACE DEFORMATION; ACTIVE TECTONICS; SINGLE-ALIQUOT;
   DISTRIBUTED DEFORMATION; SOURCE PARAMETERS; BLOCK ROTATIONS
AB The Lepsy fault of the northern Tien Shan, SE Kazakhstan, extends E-W 120km from the high mountains of the Dzhungarian Ala-tau, a subrange of the northern Tien Shan, into the low-lying Kazakh platform. It is an example of an active structure that connects a more rapidly deforming mountain region with an apparently stable continental region and follows a known Palaeozoic structure. Field-based and satellite observations reveal an approximate to 10m vertical offset exceptionally preserved along the entire length of the fault. Geomorphic analysis and age control from radiocarbon and optically stimulated luminescence dating methods indicate that the scarp formed in the Holocene and was generated by at least two substantial earthquakes. The most recent event, dated to sometime after approximate to 400years B.P., is likely to have ruptured the entire approximate to 120km fault length in a M-w 7.5-8.2 earthquake. The Lepsy fault kinematics were characterized using digital elevation models and high-resolution satellite imagery, which indicate that the predominant sense of motion is reverse right lateral with a fault strike, dip, and slip vector azimuth of approximate to 110 degrees, 50 degrees S, and 317-343 degrees, respectively, which is consistent with predominant N-S shortening related to the India-Eurasia collision. In light of these observations, and because the activity of the Lepsy fault would have been hard to ascertain if it had not ruptured in the recent past, we note that the absence of known active faults within low-relief and low strain rate continental interiors does not always imply an absence of seismic hazard.
C1 [Campbell, G. E.; Jackson, J.] Univ Cambridge, Dept Earth Sci, Bullard Labs, Cambridge CB2 3EQ, England.
   [Walker, R. T.; Elliott, J. R.; Mackenzie, D.; Middleton, T.] Univ Oxford, Dept Earth Sci, Oxford, England.
   [Abdrakhmatov, K.] Kyrgyz Inst Seismol, Bishkek, Kyrgyzstan.
   [Schwenninger, J. -L.] Univ Oxford, Res Lab Archaeol & Hist Art, Oxford, England.
C3 University of Cambridge; University of Oxford; University of Oxford
RP Campbell, GE (corresponding author), Univ Cambridge, Dept Earth Sci, Bullard Labs, Cambridge CB2 3EQ, England.
EM gc416@cam.ac.uk
TC 46
Z9 48
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9313
EI 2169-9356
PD AUG
PY 2015
VL 120
IS 8
BP 5507
EP 5534
DI 10.1002/2015JB011925
SC Geochemistry & Geophysics
UT WOS:000362224100007
ER

PT J
AU Zhan, YX
   Song, Z
   Li, D
   Xue, L
   Huang, TJ
AF Zhan, Yunxin
   Song, Zhi
   Li, Dan
   Xue, Lian
   Huang, Tianju
TI A Seismic Landslide Hazard Assessment in Small Areas Based on Multilevel
   Physical and Mechanical Parameters: A Case Study of the Upper Yangzi
   River
SO APPLIED SCIENCES-BASEL
DT Article
DE Newmark displacement model; seismic landslide; risk assessment;
   mechanical parameters
ID 2008 WENCHUAN EARTHQUAKE; LOGISTIC-REGRESSION; INFORMATION VALUE;
   ZONATION; MODELS; PROBABILITY; CHINA
AB Many landslides triggered by earthquakes have caused a countless loss of life and property, therefore, it is very important to predict landslide hazards accurately. In this work, regional seismic landslide data were obtained via a field survey, remote sensing interpretation, and data collection, and a multilevel physical and mechanical parameter system for seismic landslide hazard assessment was established; this system included a landslide inventory, loose accumulation layers, and geological units, enabling higher accuracy in the data. The Newmark displacement model with a modified correlation coefficient was used to assess the regional seismic landslide hazard in four scenarios (a = 0.1, 0.2, 0.3, 0.4) to study the influence of the landslide hazard at different peak ground accelerations. Moreover, the information value model was used to modify the calculated results to improve their accuracy in the assessment. By assessing the potential seismic landslide hazard in Shimian County in the upper reaches of the Yangtze River, the regional landslide distribution and pattern at different peak ground accelerations were obtained. The results show that with decreasing parameter accuracy in the system, the importance of the landslide inventory increases. When the peak ground acceleration is a = 0.3, which can be defined as a high hazard grade, in which the landslide area demonstrates a large-scale sharp increase, a devastating hazard threshold is reached. As the peak ground acceleration increases, the factor controlling landslides transforms from the landslide inventory to the slope, which reflects the reasonableness of the parameters in the system. The input parameters were regarded as important factors for efficiently increasing the accuracy of the results of the Newmark displacement model in the discussion.
C1 [Zhan, Yunxin; Song, Zhi; Li, Dan; Xue, Lian; Huang, Tianju] China Geol Survey, Chengdu Ctr, Geosci Innovat Ctr Southwest China, Chengdu 610218, Peoples R China.
   [Zhan, Yunxin; Song, Zhi] Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China.
C3 China Geological Survey; Chengdu Center, China Geological Survey;
   Shandong University of Science & Technology
RP Song, Z (corresponding author), China Geol Survey, Chengdu Ctr, Geosci Innovat Ctr Southwest China, Chengdu 610218, Peoples R China.; Song, Z (corresponding author), Shandong Univ Sci & Technol, Coll Earth Sci & Engn, Qingdao 266590, Peoples R China.
EM zhanyunxin1998@126.com; songzhi2024@126.com; ldan@mail.cgs.gov.cn;
   xuelian002@mail.cgs.gov.cn; huangtianju@mail.cgs.gov.cn
TC 0
Z9 0
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2076-3417
PD JAN
PY 2025
VL 15
IS 2
AR 777
DI 10.3390/app15020777
SC Chemistry; Engineering; Materials Science; Physics
UT WOS:001404003200001
ER

PT J
AU Xu, YR
   Jing, LZ
   Allen, MB
   Du, P
   Zhang, WH
   Li, WQ
   Tian, QJ
AF Xu, Yueren
   Jing Liu-Zeng
   Allen, Mark B.
   Du, Peng
   Zhang, Weiheng
   Li, Wenqiao
   Tian, Qinjian
TI Understanding historical earthquakes by mapping coseismic landslides in
   the Loess Plateau, northwest China
SO EARTH SURFACE PROCESSES AND LANDFORMS
DT Article
DE earthquake-triggered landslide; historical earthquake; Loess Plateau;
   re-evaluated magnitude; seismic literature
ID 2008 WENCHUAN EARTHQUAKE; TRIGGERED LANDSLIDES; FAULT; TECTONICS;
   LOCATION; DATABASE; EROSION; SICHUAN; BLOCK
AB Locating the epicenters and quantifying the magnitudes of historical earthquakes are important, yet difficult, tasks. These tasks often entail estimating seismic intensities based on written documentation, which suffers from biases and uncertainties that are difficult to evaluate. However, past strong earthquakes may trigger numerous landslides that remain in the landscape to the present day, whose number and distribution are correlated with the magnitude and location of the earthquakes. Thus, mapping historical coseismic landslides may provide a useful tool for re-evaluating the magnitudes of historical earthquakes. We use remote sensing images to map landslides in the southern Loess Plateau, China. We suggested that c. 5000 preserved landslides are related to the 734 ce Tianshui earthquake. These landslides are densely distributed along a c. 70-km-long section of the West Qinling Fault. Based on the assumption that the length of the zone in which substantial landslides occurred is equal to the fault rupture length, we estimated a M-w of 7.2 for the 734 ce Tianshui event, which is similar to previous estimates (M-w = 6.8-7.5). We confirmed that the 1920 ce Haiyuan, 1718 ce Tongwei, and 1654 ce Lixian earthquakes did not contribute to the historical landslides observed in the study area by combination of the mapping and Chinese related literature. We estimated an M-w of 7.0 for the 1654 ce Lixian earthquake, which is lower than previous estimates (M-w = 8.0). We suggest that coseismic landslide of medium and large sizes with areas > 10(4) m(2) can be used as a criterion to locating and quantifying historical earthquakes, thereby reducing uncertainties in the estimated magnitudes of historical earthquakes that lack instrument records.
C1 [Xu, Yueren; Du, Peng; Zhang, Weiheng; Li, Wenqiao; Tian, Qinjian] China Earthquake Adm, Key Lab Earthquake Predict, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
   [Xu, Yueren; Allen, Mark B.] Univ Durham, Dept Earth Sci, Durham, England.
   [Jing Liu-Zeng] Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin, Peoples R China.
C3 China Earthquake Administration; Institute of Earthquake Forecasting,
   CEA; Durham University; Tianjin University
RP Xu, YR (corresponding author), China Earthquake Adm, Key Lab Earthquake Predict, Inst Earthquake Forecasting, Beijing 100036, Peoples R China.
EM xuyr@ief.ac.cn
TC 17
Z9 19
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0197-9337
EI 1096-9837
PD JUL
PY 2022
VL 47
IS 9
BP 2266
EP 2282
DI 10.1002/esp.5375
EA APR 2022
SC Physical Geography; Geology
UT WOS:000788388300001
ER

PT J
AU Xie, CC
   Xu, C
   Xu, XW
   Huang, YD
   Zhang, ZQ
   Li, H
   Zhang, HR
   Zhu, DJ
AF Xie, Chenchen
   Xu, Chong
   Xu, Xiwei
   Huang, Yuandong
   Zhang, Zhiqiang
   Li, Hao
   Zhang, Hourong
   Zhu, Dengjie
TI Comprehensive analysis and assessment of extreme rainfall-induced
   clustered landslides: a case study of southern Qingyuan city, Guangdong
   province, China, in June 2020
SO GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND
   GEOHAZARDS
DT Article; Early Access
DE Automated machine learning; rainfall-induced landslides; distribution
   patterns; landslide database; real-probability
ID 2008 WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; LOGISTIC-REGRESSION;
   SUSCEPTIBILITY; AREA; GIS; DATABASE; EVENT; THRESHOLDS; INITIATION
AB Clustered landslide events often cause significant losses, making comprehensive analysis and evaluation of such events crucial. This process includes three steps: establishing a landslide database, analyzing distribution patterns, and constructing a landslide real-probability hazard assessment map. In this study, comprehensive analysis and evaluation were conducted based on clustered landslides induced by extreme rainfall in June 2020 in southern Qingyuan City, Guangdong Province, China. A total of 6,660 landslides with a total area of 12.79 km2 were identified in the 6,989.73 km2 study area. Landslides were densely distributed in the central, southwestern, and northeastern parts of the study area. Twelve influencing factors were integrated, including geomorphology, geological hydrology, accumulated rainfall, etc. Distribution patterns and triggering mechanisms were analyzed in detail. A real-probability hazard map was developed using the Fast and Lightweight AutoML (FLAML) framework and Random Forest (RF) model. The predicted landslide occurrence probabilities showed strong alignment between moderate-to-high risk areas and actual landslide distributions. The hazard map was classified into five levels, with "Extremely high" and "High" zones containing the majority of landslides. Through 100 different sampling analyses of factor weights, it was found that Accumulated rainfall, Elevation, Strata, Topographic relief, and Slope were the main influencing factors in this landslide event.
C1 [Xie, Chenchen; Xu, Xiwei] China Univ Geosci Beijing, Sch Earth Sci & Resources, Beijing, Peoples R China.
   [Xie, Chenchen; Xu, Chong; Huang, Yuandong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
   [Xie, Chenchen; Xu, Chong; Huang, Yuandong] Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
   [Huang, Yuandong] Univ Chinese Acad Sci, Sch Emergency Management Sci & Engn, Beijing, Peoples R China.
   [Zhang, Zhiqiang; Li, Hao; Zhang, Hourong; Zhu, Dengjie] China Southern Power Grid Co Ltd, Elect Power Res Inst, Guangzhou, Peoples R China.
C3 China University of Geosciences; Chinese Academy of Sciences; University
   of Chinese Academy of Sciences, CAS; China Southern Power Grid
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.; Xu, C (corresponding author), Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
EM chongxu@ninhm.ac.cn
TC 2
Z9 2
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1749-9518
EI 1749-9526
PD 2025 SEP 26
PY 2025
DI 10.1080/17499518.2025.2563759
EA SEP 2025
SC Engineering; Geology
UT WOS:001584354000001
ER

PT J
AU Fu, GC
   Xu, YR
   Li, WQ
   Cheng, J
   Su, P
   Huang, ST
AF Fu, Guochao
   Xu, Yueren
   Li, Wenqiao
   Cheng, Jiang
   Su, Peng
   Huang, Shuaitang
TI Probability Assessment of Potential Landslides Under the Coupling of
   Earthquake and Rainfall-A Case Study of Zhouqu Area, Gansu Province,
   China
SO TRANSACTIONS IN GIS
DT Article
DE earthquake-induced landslides; monte carlo; newmark displacement model;
   rainfall and earthquakes
ID WENCHUAN EARTHQUAKE; HAZARD ASSESSMENT; MODEL; THRESHOLDS; BASIN; STATE;
   GIS
AB Earthquakes and rainfall are considered two of the major causes of landslides worldwide. These landslides cause billions of dollars in property damage and revenue losses, as well as the deaths of thousands of people each year. While researchers have been examining the effect of either rainfall or earthquakes on the deformation and stability of slopes, the combined effect of earthquakes and rainfall on deformation and slope stability has not been evaluated systematically. In this paper, we present an approach to generating probabilistic hazard maps for potential landslides using the Newmark displacement model (NDM), which considers earthquakes and rainfall. Also, we have conducted an in-depth analysis of uncertainties and fluctuations in the input parameters of NDM through Monte Carlo techniques. Taking Gansu Province of China as an example, probability distribution maps were generated separately under different conditions of rainfall combined with a 10% failure probability of ground motion in 50 years. The results show that rainfall has a significant influence on landslide risk under the same horizontal ground motion input condition. With the increase in daily rainfall, the proportion of landslide area in high-risk areas also increased sharply, while that in low-risk areas also decreased significantly, which can serve as a basis for providing a reference for the prediction of earthquake-induced landslides during rainy seasons.
C1 [Fu, Guochao; Xu, Yueren; Li, Wenqiao; Su, Peng] China Earthquake Adm, Inst Earthquake Forecasting, Beijing, Peoples R China.
   [Cheng, Jiang] Sichuan Inst Geol Engn Invest Grp Co Ltd, Chengdu, Peoples R China.
   [Huang, Shuaitang] Earthquake Agcy Xinjiang Uygur Autonomous Reg, Xinjiang, Peoples R China.
C3 China Earthquake Administration; Institute of Earthquake Forecasting,
   CEA
RP Huang, ST (corresponding author), Earthquake Agcy Xinjiang Uygur Autonomous Reg, Xinjiang, Peoples R China.
EM shuaith@126.com
TC 0
Z9 0
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1361-1682
EI 1467-9671
PD AUG 27
PY 2025
VL 29
IS 5
AR e70106
DI 10.1111/tgis.70106
SC Geography
UT WOS:001558134900001
ER

PT J
AU Ju, WY
   Xing, ZX
   Wu, J
AF Ju, Weiyi
   Xing, Zhixiang
   Wu, Jie
TI Comprehensive risk assessment of natural disasters based on machine
   learning in Changzhou City, China
SO ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
DT Article; Early Access
DE Natural disasters; Risk assessment; Machine learning; Sustainability;
   Environmental management; Random forest
ID SENSITIVITY-ANALYSIS; WENCHUAN EARTHQUAKE; LANDSLIDES; STRESS;
   METHODOLOGY; TEMPERATURE; HAZARD; GIS
AB The ecological environment is continuously deteriorating, leading to a rise in the frequency of natural disasters in recent years. In this study, five different machine learning regression models (random forest, extra trees, support vector regression, XGBoost, and LightGBM) are used to assess the risk of four types of natural disasters in Changzhou. Utilizing ArcGIS software, a risk level map for each individual disaster is generated. Moreover, based on consulting local experts, the comprehensive risk of natural disasters in Changzhou is evaluated by the weighting method. Finally, the accuracy of the model is verified by historical disaster point data, and the accuracy is judged by the area under curve (AUC). The results show that the accuracy of the XGBoost regression models is the highest, and the values of R2 are 0.940, 0.873, 0.928, and 0.893, respectively. In the comprehensive risk assessment of natural disasters in Changzhou City, Nandu Town, Xuebu Town, and Hengshanqiao Town are identified as the regions with the highest risk areas, encompassing 7361.64ha, 5551.02ha, and 5152.59ha, respectively. The AUC value under the comprehensive risk level is 0.723, which has good accuracy and can be used to evaluate the comprehensive risk in Changzhou. This result provides a reference and guidance for the local government.
C1 [Ju, Weiyi; Xing, Zhixiang; Wu, Jie] Changzhou Univ, Sch Safety Sci & Engn, 21 Gehu Middle Rd, Changzhou 213164, Jiangsu, Peoples R China.
C3 Changzhou University
RP Xing, ZX (corresponding author), Changzhou Univ, Sch Safety Sci & Engn, 21 Gehu Middle Rd, Changzhou 213164, Jiangsu, Peoples R China.
EM xingzhixiang@cczu.edu.cn
TC 1
Z9 1
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1387-585X
EI 1573-2975
PD 2024 OCT 8
PY 2024
DI 10.1007/s10668-024-05531-3
EA OCT 2024
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:001331262700003
ER

PT J
AU Zhou, SH
   Wang, W
   Chen, GQ
   Liu, BC
   Fang, LG
AF Zhou Suhua
   Wang Wei
   Chen Guangqi
   Liu Baochen
   Fang Ligang
TI A Combined Weight of Evidence and Logistic Regression Method for
   Susceptibility Mapping of Earthquake-induced Landslides: A Case Study of
   the April 20, 2013 Lushan Earthquake, China
SO ACTA GEOLOGICA SINICA-ENGLISH EDITION
DT Article
DE 2013 Lushan earthquake; landslide susceptibility; weight of evidence;
   logistic regression
ID WENCHUAN EARTHQUAKE; MODEL; SICHUAN; GIS
AB The M-s 7.0 Lushan earthquake triggered a huge number of landslides. Landslide susceptibility mapping is of great importance. Weight of Evidence (WoE) and Logistic Regression (LR) methods have been widely used for LSM (Landslide Susceptibility Mapping). However, limitations still exist. WoE is capable of assessing the influence of different classes of each factor, but neglects the correlation between factors. LR is able to analyze the relationship among the factors while it is not capable of evaluating the influence of different classes. This paper proposes a combined method of LR and WoE for LSM, taking advantage of their individual merits and overcoming their limitations. An inventory of 1289 landslides was used: 70% were random-selected for training and the remaining for validation. 11 landslide condition factors were employed in the model and the result was validated using Receiver Operating Characteristic (ROC) curve. The results showed that the LR-WoE model had a better accuracy than the LR model, producing an area below the curve with values of 0.802 success and 0.791 predictive, higher than that of the LR model (0.715 success and 0.722 predictive). It is therefore concluded that the combined method of WoE and LR can provide a promising level of accuracy for earthquake-induced landslide susceptibility mapping.
C1 [Zhou Suhua; Wang Wei; Chen Guangqi] Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 8190395, Japan.
   [Zhou Suhua; Liu Baochen; Fang Ligang] Cent S Univ, Dept Civil Engn, Changsha 410075, Hunan, Peoples R China.
C3 Kyushu University; Central South University
RP Wang, W (corresponding author), Kyushu Univ, Dept Civil & Struct Engn, Fukuoka 8190395, Japan.
EM panda.wang.1989@gmail.com
TC 6
Z9 11
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 1000-9515
EI 1755-6724
PD APR
PY 2016
VL 90
IS 2
BP 511
EP 524
DI 10.1111/1755-6724.12687
SC Geology
UT WOS:000374705600008
ER

PT J
AU Yang, HB
   Lin, DX
   Yang, XP
   Cunningham, D
   Hu, ZK
   Huang, XN
   Zhang, YF
   Li, A
AF Yang, Haibo
   Lin, Daoxiu
   Yang, Xiaoping
   Cunningham, Dickson
   Hu, Zongkai
   Huang, Xiongnan
   Zhang, Yingfeng
   Li, An
TI Strain Partitioning and Strike-Slip Faulting in the Nanjieshan, North
   Tibetan Foreland: Progressive Widening of the Altyn Tagh Fault System
   With Implications for Regional Earthquake Hazards
SO TECTONICS
DT Article
DE strike-slip faults; Tibetan margin; paleo-seismology; multi-fault
   rupture; strain partitioning; Altyn Tagh fault system
ID LATE QUATERNARY SLIP; WENCHUAN EARTHQUAKE; STRESS CHANGES; SOUTH ISLAND;
   QILIAN SHAN; RATES; ZONE; DEFORMATION; TRANSFORMATION; LUMINESCENCE
AB Large continental strike-slip fault systems typically comprise a principal displacement zone and subordinate splay faults, exhibiting complex geometries, connectivity, and kinematics. Understanding the three-dimensional arrangement of major and minor faults is important for determining strain distribution, landform development, and potential earthquake behavior. This study examines the Quaternary deformation, fault kinematics, and late Holocene ruptures along the Nanjieshan Fault system (NJSF), a major branch of the Altyn Tagh Fault (ATF) system in the North Tibetan Foreland. The E-W-trending NJSF comprises a principal strike-slip fault flanked by two thrust faults, forming a regional, sinistral positive flower structure. Cosmogenic exposure dating, field data and remote sensing observations indicate that the strike-slip rate of the main NJSF is similar to 0.5 mm/a since similar to 45 ka, consistent with the low slip rates observed on other faults northwest of the ATF. Paleoseismological trenches reveal three surface-rupturing events on the NJSF in the last 2,500 years that may coincide temporally with the last two major earthquakes documented on the principal ATF, suggesting quasi-simultaneous rupture behavior. Coulomb stress change modeling indicates that a future ATF earthquake is unlikely to trigger failure along the NJSF. Conversely, rupture of the NJSF could induce stress loading on the ATF, potentially bringing it to failure. A synchronous rupture on the ATF and its major branch faults could be facilitated by mechanically weakened fault rocks and supra-hydrostatic fluid pressures within the deep southward-dipping branch faults of the North Tibetan foreland. We conclude that improved prediction of future slip behavior along major strike-slip fault systems requires detailed geochronological analysis of paleo-earthquake events along subordinate branching faults.
C1 [Yang, Haibo; Yang, Xiaoping; Hu, Zongkai; Huang, Xiongnan; Zhang, Yingfeng; Li, An] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing, Peoples R China.
   [Lin, Daoxiu] Zhejiang Geol & Mineral Technol Co Ltd, Hangzhou, Peoples R China.
   [Cunningham, Dickson] Eastern Connecticut State Univ, Dept Environm Earth Sci, Willimantic, CT USA.
C3 China Earthquake Administration; Institute of Geology, CEA; Connecticut
   State University System; Eastern Connecticut State University
RP Yang, HB (corresponding author), China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing, Peoples R China.
EM yanghaibo2015@gmail.com
TC 3
Z9 3
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 0278-7407
EI 1944-9194
PD DEC
PY 2024
VL 43
IS 12
AR e2024TC008262
DI 10.1029/2024TC008262
SC Geochemistry & Geophysics
UT WOS:001370289200001
ER

PT J
AU Papathanassiou, G
   Valkaniotis, S
   Ganas, A
AF Papathanassiou, George
   Valkaniotis, Sotiris
   Ganas, Athanassios
TI Spatial patterns, controlling factors, and characteristics of landslides
   triggered by strike-slip faulting earthquakes: case study of Lefkada
   island, Greece
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslides; Lefkada; Strike-slip; Density; Earthquake; Pattern
ID 2008 WENCHUAN EARTHQUAKE; GROUND MOTION; CEPHALONIA TRANSFORM; HELLENIC
   SUBDUCTION; FIELD OBSERVATIONS; 1994 NORTHRIDGE; MODEL; GIS; CALIFORNIA;
   JANUARY
AB The correlation of coseismic landslides with the seismic and morphological parameters has been investigated in detail by many researchers, mainly after the devastating 2008 M8.0 Wenchuan, China earthquake. One of the goals of such studies is to examine the spatial distribution of the earthquake-induced landslides in order to establish a pattern depending on the type of the seismic fault. This research focusses on the island of Lefkada, Ionian Sea, Greece, that is considered one of the most prone to earthquakes regions in Europe due to its proximity to the Cephalonia Transform fault. Landslide data from the two shallow strike-slip faulting earthquakes that occurred on 2003 and 2015 are statistically analyzed in order to evaluate the landslide magnitude and area of slope failures and their frequency-area size distributions. Furthermore, the spatial distribution of failures was investigated in detail regarding its correlation to topography (slope angle, aspect, local relief, elevation), geology, and the characteristics of fault rupture. We conclude that the landslide pattern is not controlled by a single parameter and that it results from a combination and interaction of seismic, morphological, and geological factors. In particular, the parameters of slope angle, geology, and fault rupture/asperities are the ones that are clearly related to the highest landslide densities.
C1 [Papathanassiou, George] Democritus Univ Thrace, Dept Civil Engn, Xanthi 67100, Greece.
   [Ganas, Athanassios] Natl Observ Athens, Inst Geodynam, Athens 11810, Greece.
C3 Democritus University of Thrace; National Observatory of Athens
RP Papathanassiou, G (corresponding author), Democritus Univ Thrace, Dept Civil Engn, Xanthi 67100, Greece.
EM gpapatha@civil.duth.gr
TC 20
Z9 20
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD MAY
PY 2021
VL 80
IS 5
BP 3747
EP 3765
DI 10.1007/s10064-021-02181-x
EA MAR 2021
SC Engineering; Geology
UT WOS:000628092400001
ER

PT J
AU Zhang, JD
   Hull, V
   Xu, WH
   Liu, JG
   Ouyang, ZY
   Huang, JY
   Wang, XZ
   Li, RG
AF Zhang, Jindong
   Hull, Vanessa
   Xu, Weihua
   Liu, Jianguo
   Ouyang, Zhiyun
   Huang, Jinyan
   Wang, Xuezhi
   Li, Rengui
TI Impact of the 2008 Wenchuan earthquake on biodiversity and giant panda
   habitat in Wolong Nature Reserve, China
SO ECOLOGICAL RESEARCH
DT Article
DE Biodiversity; Earthquake; Giant panda; Natural disasters; Wildlife
   habitat
ID POPULATION; DIVERSITY; LANDSLIDE; BENEFITS; ECOLOGY
AB Natural disasters such as earthquakes have profound effects on the earth's biodiversity. However, studies on immediate earthquake impacts are rarely conducted at fine scales due to logistical constraints. We conducted the first post-earthquake field survey in Wolong Nature Reserve, Wenchuan, China, less than 1 year after it was hit by a magnitude 8.0 earthquake in 2008. Since Wolong harbors approximately 10% of the endangered wild giant panda (Ailuropoda melanoleuca) population, the impact of the earthquake on the giant panda and its habitat is of particular concern. We established 15 transects in three focus areas within the Reserve where we classified occurrences of earthquake damage according to vegetation and geophysical characteristics. In the 11.2 km(2) area sampled, we recorded 156 occurrences of earthquake damage consisting of landslides and mudflows, which comprised a total area of 0.88 km(2). Of all earthquake damage occurrences sampled, only 36% of occurences (73% of surface area) corresponded to damaged areas previously detected through broad-scale remote sensing. The remaining damaged areas mainly consisted of occurrences too small to be detected without field observation. Although there were significant losses to tree and shrub species diversity and richness in earthquake-damaged areas, remnant vegetation was found in the majority (80%) of damaged areas, suggesting the potential for forest recovery. Most earthquake-damaged areas were too steep to be classified as suitable giant panda habitat (79%). In addition, a sizable number of signs of giant panda (67) and other wildlife (148) were observed near the earthquake-damaged areas, and there appeared to be avoidance of earthquake damage only at short-range distances. This study has implications for understanding the impact of natural disasters on biodiversity and highlights the importance of fine scale on-the-ground assessments of disaster impacts on wildlife and their habitats.
C1 [Zhang, Jindong; Xu, Weihua; Ouyang, Zhiyun] Chinese Acad Sci, Res Ctr Eco Environm Sci, State Key Lab Reg & Urban Ecol, Dept Syst Ecol, Beijing 100085, Peoples R China.
   [Huang, Jinyan] Mianyang Normal Univ, Mianyang 621000, Peoples R China.
   [Hull, Vanessa; Liu, Jianguo] Michigan State Univ, Dept Fisheries & Wildlife, Ctr Syst Integrat & Sustainabil, E Lansing, MI 48823 USA.
   [Huang, Jinyan; Li, Rengui] CCRCGP, Sichuan 623006, Peoples R China.
   [Wang, Xuezhi] Chinese Acad Sci, Comp Network Informat Ctr, Beijing 100190, Peoples R China.
C3 Chinese Academy of Sciences; Research Center for Eco-Environmental
   Sciences (RCEES), CAS; Mianyang Teachers' College; Michigan State
   University; Chinese Academy of Sciences; Computer Network Information
   Center, CAS
RP Ouyang, ZY (corresponding author), Chinese Acad Sci, Res Ctr Eco Environm Sci, State Key Lab Reg & Urban Ecol, Dept Syst Ecol, Beijing 100085, Peoples R China.
EM zhangjd224@163.com; hullvane@csis.msu.edu; zyouyang@mail.rcees.ac.cn
TC 49
Z9 69
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0912-3814
EI 1440-1703
PD MAY
PY 2011
VL 26
IS 3
BP 523
EP 531
DI 10.1007/s11284-011-0809-4
SC Environmental Sciences & Ecology
UT WOS:000290538900006
ER

PT J
AU Ma, SY
   Shao, XY
   Xu, C
AF Ma, Siyuan
   Shao, Xiaoyi
   Xu, Chong
TI Estimating the Quality of the Most Popular Machine Learning Algorithms
   for Landslide Susceptibility Mapping in 2018 Mw 7.5 Palu Earthquake
SO REMOTE SENSING
DT Article
DE 2018 Palu earthquake; coseismic landslides; susceptibility assessment;
   influencing factors; logistic regression (LR) model; random forest (RF)
ID 2008 WENCHUAN EARTHQUAKE; SEISMIC LANDSLIDES; SPATIAL PREDICTION;
   HAZARD; MODELS; CHINA; EVOLUTION; NEWMARK; PACIFIC; GIS
AB The Mw 7.5 Palu earthquake that occurred on 28 September 2018 (UTC 10:02) on Sulawesi Island, Indonesia, triggered approximately 15,600 landslides, causing about 4000 fatalities and widespread destruction. The primary objective of this study is to perform landslide susceptibility mapping (LSM) associated with this event and assess the performance of the most widely used machine learning algorithms of logistic regression (LR) and random forest (RF). Eight controlling factors were considered, including elevation, hillslope gradient, aspect, relief, distance to rivers, peak ground velocity (PGV), peak ground acceleration (PGA), and lithology. To evaluate model uncertainty, training samples were randomly selected and used to establish the models 20 times, resulting in 20 susceptibility maps for different models. The quality of the landslide susceptibility maps was evaluated using several metrics, including the mean landslide susceptibility index (LSI), modelling uncertainty, and predictive accuracy. The results demonstrate that both models effectively capture the actual distribution of landslides, with areas exhibiting high LSI predominantly concentrated on both sides of the seismogenic fault. The RF model exhibits less sensitivity to changes in training samples, whereas the LR model displays significant variation in LSI with sample changes. Overall, both models demonstrate satisfactory performance; however, the RF model exhibits superior predictive capability compared to the LR model.
C1 [Ma, Siyuan] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
   [Ma, Siyuan] China Earthquake Adm, Inst Geol, Key Lab Seism & Volcan Hazards, Beijing 100029, Peoples R China.
   [Shao, Xiaoyi; Xu, Chong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.
   [Shao, Xiaoyi; Xu, Chong] Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China.; Xu, C (corresponding author), Minist Emergency Management China, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing 100085, Peoples R China.
EM masiyuan@ies.ac.cn; xiaoyishao@ninhm.ac.cn; xc11111111@126.com
TC 15
Z9 17
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD OCT
PY 2023
VL 15
IS 19
AR 4733
DI 10.3390/rs15194733
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001082954500001
ER

PT J
AU Xie, P
   Wen, HJ
   Ma, CC
   Baise, LG
   Zhang, JL
AF Xie, Peng
   Wen, Haijia
   Ma, Chaochao
   Baise, Laurie G.
   Zhang, Jialan
TI Application and comparison of logistic regression model and neural
   network model in earthquake-induced landslides susceptibility mapping at
   mountainous region, China
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Mountainous region; earthquake-induced landslides; susceptibility
   mapping; logistic regression model; neural network model
ID 2008 WENCHUAN EARTHQUAKE; NIIGATA PREFECTURE EARTHQUAKE;
   SPATIAL-DISTRIBUTION ANALYSIS; NEWMARK DISPLACEMENT;
   STATISTICAL-ANALYSIS; TRIGGERED LANDSLIDES; LUSHAN EARTHQUAKE;
   MINXIAN-ZHANGXIAN; ARIAS INTENSITY; HAZARD
AB The main objective of this study is to evaluate the performances of different earthquake-induced landslides susceptibility mapping models at mountainous regions in China. At first, 160 earthquake-induced landslide points were identified from field investigations. Concurrently, based on the results of a literature review and the field investigation, 12 influencing factors were considered, and the corresponding thematic layers were generated using geographic information system (GIS) technology. Subsequently, 20 groups with a fixed number of cells were collected as a common training dataset for the two different models, based on a random selection from the entire database (including landslide cells and no-landslide cells). The neural network (NN) model and logistic regression (LR) model were developed with R software. Finally, earthquake-induced landslides susceptibility maps of Wenchuan county were produced, very low, low, medium, high and very high susceptibility zones cover. The validation results indicate that the landslide data from field investigations are in good agreement with the evaluation results, and the LR model has a slightly better prediction than the NN model in this case. In general, the NN model and LR models are satisfactory for susceptibility mapping of earthquake-induced landslides at mountainous regions.
C1 [Xie, Peng; Wen, Haijia; Ma, Chaochao] Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing, Peoples R China.
   [Xie, Peng; Wen, Haijia; Ma, Chaochao; Zhang, Jialan] Chongqing Univ, Sch Civil Engn, Chongqing, Peoples R China.
   [Wen, Haijia; Baise, Laurie G.] Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA.
C3 Chongqing University; Chongqing University; Tufts University
RP Wen, HJ (corresponding author), Chongqing Univ, Minist Educ, Key Lab New Technol Construct Cities Mt Area, Chongqing, Peoples R China.; Wen, HJ (corresponding author), Chongqing Univ, Sch Civil Engn, Chongqing, Peoples R China.; Wen, HJ (corresponding author), Tufts Univ, Dept Civil & Environm Engn, Medford, MA 02155 USA.
EM 32943982@qq.com
TC 22
Z9 26
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PY 2018
VL 9
IS 1
BP 501
EP 523
DI 10.1080/19475705.2018.1451399
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000430482400001
ER

PT J
AU Ai, X
   Sun, BT
   Chen, XZ
AF Ai, Xiao
   Sun, Baitao
   Chen, Xiangzhao
TI Construction of small sample seismic landslide susceptibility evaluation
   model based on Transfer Learning: a case study of Jiuzhaigou earthquake
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Seismic landslide susceptibility prediction; Wenchuan earthquake;
   Jiuzhaigou earthquake; Transfer learning; ANN
ID LOGISTIC-REGRESSION; FREQUENCY RATIO; NETWORKS
AB Traditional machine learning requires big data as the basis, and it is usually difficult to obtain the desired results in areas where there is a lack of data. This study proposes an innovative transfer learning method to establish a seismic landslide susceptibility evaluation model. The process is as follows: (1) a total of 13 influence factors were selected and combined with landslide points triggered by the Wenchuan and Jiuzhaigou earthquakes to form a big dataset and a small sample dataset, respectively; (2) Artificial Neural Network (ANN) was used to train the big dataset and prepare a pre-training model; (3) the Jiuzhaigou seismic landslide susceptibility evaluation model based on transfer learning was established by using the pre-training model. To reflect the advantages of the transfer learning method more intuitively, this study not only tested the accuracy of the evaluation model but also used ANN to train another evaluation model based on the small sample datasets. And the model accuracy was compared with that of the previous model. The results showed that the frequency ratio (FR) accuracy of the model obtained by transfer learning was higher than that of the model directly trained on a small sample dataset. Additionally, the area under curve (AUC) of the model directly trained on a small sample dataset was only 0.84, whereas the AUC of the model obtained by transfer learning was close to 0.90. The study shows that this method can solve the problems associated with traditional machine learning methods when establishing a seismic landslide susceptibility evaluation model.
C1 [Ai, Xiao] Heilongjiang Univ Sci & Technol, Sch Architecture & Civil Engn, Harbin, Peoples R China.
   [Sun, Baitao; Chen, Xiangzhao] China Earthquake Adm, Inst Engn Mech, Key Lab Earthquake Engn & Engn Vibrat, Harbin, Peoples R China.
C3 Heilongjiang University of Science & Technology; China Earthquake
   Administration; Institute of Engineering Mechanics, CEA
RP Ai, X (corresponding author), Heilongjiang Univ Sci & Technol, Sch Architecture & Civil Engn, Harbin, Peoples R China.
EM axz.1988@163.com
TC 28
Z9 29
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD MAR
PY 2022
VL 81
IS 3
AR 116
DI 10.1007/s10064-022-02601-6
SC Engineering; Geology
UT WOS:000759643100007
ER

PT J
AU Li, LF
   Shi, YL
   Cheng, S
AF Li LinFang
   Shi YaoLin
   Cheng Shu
TI Exploration of long short-term memory neural network in intermediate
   earthquake forecast: a case study in Sichuan-Yunnan region
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Intermediate earthquake forecast; Long short-term memory neural network;
   Seismic indicator; R value; Sichuan-Yunnan region
ID MAGNITUDE PREDICTION; MECHANISM
AB It is a very challenging scientific problem to use machine learning methods to mine the big data of seismic activity, identify some anomalies that were not recognized in the past, and improve the accuracy of earthquake prediction. In this paper, based on the earthquake catalog in part of Sichuan and Yunnan (24 degrees N-32 degrees N, 98 degrees E-106 degrees E), 16 seismicity indicators reflecting the spatial and temporal intensity distribution characteristics of earthquakes were input by using the sliding spatio-temporal window, and long short-term memory (LSTM) neural network was established to predict the maximum earthquake magnitude in the next year in 9 subareas of the study area. Two different training test models, training set:test set =8:2 and training set:test set =7:3, are set up to retrospectively forecast past earthquakes. The results show that the training set:test set =7:3 model can learn from the earthquake catalog from January 1970 to September 2004, and the 2008 Wenchuan earthquake can be predicted retroactively. The training set:test set =8:2 model was trained by using the data from January 1970 to May 2009. The R score of retrospective prediction of earthquakes above M6 from 2010 to 2019 is 0.407, and the accuracy of retrospective prediction of earthquakes above M7 is as high as 92.31%. This paper also provides an exploratory forecast: the western, central, eastern, and southwestern part of the study area will have a potential risk of earthquakes of magnitude 5.1 similar to 5.3 before February 2022.
C1 [Li LinFang; Shi YaoLin; Cheng Shu] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; University of Chinese Academy of Sciences,
   CAS
RP Shi, YL (corresponding author), Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Key Lab Computat Geodynam, Beijing 100049, Peoples R China.
EM 1165237271@qq.com; shiyl@ucas.ac.cn
TC 7
Z9 12
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD JAN
PY 2022
VL 65
IS 1
BP 12
EP 25
DI 10.6038/cjg2022P0086
SC Geochemistry & Geophysics
UT WOS:000776136800002
ER

PT J
AU Chaoxu, X
   Wenhua, Q
   Huayue, L
   Gaozhong, N
AF Chaoxu, Xia
   Wenhua, Qi
   Huayue, Li
   Gaozhong, Nie
TI Lethality level casualty assessment method for earthquake landslide
   hazards based on the expansion effect of the mortality rate
SO SCIENTIFIC REPORTS
DT Article
DE Secondary landslides; Mortality rate; Multiple relationships; Expanding
   effect; Lethality matrix
ID 2008 WENCHUAN EARTHQUAKE; MODEL; GIS; SUSCEPTIBILITY; SCALE; PREDICTION;
   INTENSITY; INVENTORY; DATABASE; EVENTS
AB Rapid assessment of earthquake disaster losses is crucial for effective emergency rescue operations, with post-earthquake geological hazards constituting a significant component. In this study, we conducted extensive field investigations of historical earthquakes in China, collecting mortality data categorized by cause of death. Through analysis of historical earthquake records, we determined the proportions of fatalities attributed to different causes, integrating seismic intensity data, population distribution information, to establish intensity-dependent mortality rates for earthquake-triggered landslides. We systematically compiled the spatial distribution patterns, occurrence frequency, and density characteristics of landslides induced by historical earthquakes through field surveys and literature analysis. By comparing these results with historical intensity-mortality relationships, we quantified the amplifying effect of secondary geological hazards on mortality rates. The results demonstrate that landslide hazards exhibit significant mortality amplification at intensities of VIII and above, with this amplification effect intensifying progressively with higher seismic intensities. Using these findings, we developed a lethality matrix for earthquake-triggered landslides by incorporating intensity-mortality relationships. Validation using historical earthquake cases shows that the calculated casualties error within +/- 30% of actual recorded values across different regions and magnitudes. This study achieves two objectives (1) verifies the validity and regional applicability of the proposed matrix methodology for landslide casualty assessment, and (2) provides a scientific foundation for developing regionalized assessment matrices, thereby enhancing post-earthquake emergency response capabilities.
C1 [Chaoxu, Xia; Wenhua, Qi; Huayue, Li; Gaozhong, Nie] Earthquake Adm, Key Lab Seism & Volcan Hazards, Yard 1, Beijing 100029, Peoples R China.
   [Chaoxu, Xia; Wenhua, Qi; Huayue, Li; Gaozhong, Nie] China Earthquake Adm, Inst Geol, Yard 1, Beijing 100029, Peoples R China.
   [Huayue, Li] China Earthquake Adm, 5 Nanheng St, Beijing, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration
RP Chaoxu, X; Wenhua, Q (corresponding author), Earthquake Adm, Key Lab Seism & Volcan Hazards, Yard 1, Beijing 100029, Peoples R China.; Chaoxu, X; Wenhua, Q (corresponding author), China Earthquake Adm, Inst Geol, Yard 1, Beijing 100029, Peoples R China.
EM xiachaoxu@ies.ac.cn; qiwenhua@ies.ac.cn
TC 0
Z9 0
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD JUL 1
PY 2025
VL 15
IS 1
AR 21137
DI 10.1038/s41598-025-08209-6
SC Science & Technology - Other Topics
UT WOS:001522987800035
ER

PT J
AU Chen, S
   Miao, ZL
   Wu, LX
   Zhang, AS
   Li, QR
   He, YG
AF Chen, Shuai
   Miao, Zelang
   Wu, Lixin
   Zhang, Anshu
   Li, Qirong
   He, Yueguang
TI A One-Class-Classifier-Based Negative Data Generation Method for Rapid
   Earthquake-Induced Landslide Susceptibility Mapping
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE earthquake-induced landslide; landslide susceptibility mapping; one
   class classifier; incomplete landslide inventory; negative data
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; DISTRIBUTION PATTERN;
   ABSENCE DATA; INVENTORY; HAZARD; MODELS; CHINA; AREA; VALIDATION
AB Machine learning with extensively labeled training samples (e.g., positive and negative data) has received much attention in terms of addressing earthquake-induced landslide susceptibility mapping (LSM). However, the extensive amount of labeled training data required by machine learning, particularly the precise negative data (i.e., non-landslide area), cannot be easily and efficiently collected. To address this issue, this study presents a one-class-classifier-based negative data generation method for rapid earthquake-induced LSM. First, an incomplete landslide inventory (i.e., positive data) was produced with the aid of change detection using before-and-after satellite images and the Geographic Information System (GIS). Second, a one-class classifier was utilized to compute the probability of landslide occurrence based on the incomplete landslide inventory followed by the negative data generation from the low landslide susceptibility areas. Third, the positive data as well as the generated negative data (i.e., non-landslide) were compounded to train a traditional binary classifier to produce the final LSM. Experimental results suggest that the proposed method is capable of achieving a result that is comparable to methods using the complete landslide inventory, and it displays good correspondence with recent landslide events, making it a suitable method for rapid earthquake-induced LSM. The findings in this study would be useful in regional disaster planning and risk reduction.
C1 [Chen, Shuai; Miao, Zelang; Wu, Lixin; Li, Qirong] Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China.
   [Zhang, Anshu] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China.
   [He, Yueguang] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha, Peoples R China.
C3 Central South University; Hong Kong Polytechnic University; Changsha
   University of Science & Technology
RP Miao, ZL (corresponding author), Cent South Univ, Sch Geosci & Infophys, Changsha, Peoples R China.
EM zelang.miao@csu.edu.cn
TC 10
Z9 11
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD APR 12
PY 2021
VL 9
AR 609896
DI 10.3389/feart.2021.609896
SC Geology
UT WOS:000643714700001
ER

PT J
AU Tian, YY
   Xu, C
   Hong, HY
   Zhou, Q
   Wang, D
AF Tian, Yingying
   Xu, Chong
   Hong, Haoyuan
   Zhou, Qing
   Wang, Duo
TI Mapping earthquake-triggered landslide susceptibility by use of
   artificial neural network (ANN) models: an example of the 2013 Minxian
   (China) Mw 5.9 event
SO GEOMATICS NATURAL HAZARDS & RISK
DT Article
DE Seismic landslides; Minxian earthquake; artificial neural network;
   susceptibility assessment; seismic factors
ID 2008 WENCHUAN EARTHQUAKE; YIHUANG AREA CHINA; HOA BINH PROVINCE;
   LOGISTIC-REGRESSION; SPATIAL-DISTRIBUTION; COSEISMIC LANDSLIDES;
   DISTRIBUTION PATTERN; GIS; HAZARD; INVENTORY
AB A landslide susceptibility map, which describes the quantitative relationship between known landslides and control factors, is essential to link the theoretical prediction with practical disaster reduction measures. In this work, the artificial neural network (ANN) model, a promising tool for mapping landslide susceptibility, was adopted to evaluate the coseismic landslide susceptibility affected by the 2013 Minxian, Gansu, China, Mw5.9 earthquake. The evaluation was based on the landslide inventory of this event containing 6479 landslides, and the terrain, geological and seismic factors from database available. During the analyses, two ANN models were applied: considering the entire factors aforementioned (CS model) and excluding seismic factors above (ES model). The success and predictive rates of ANN models and the cumulative percentage curves of susceptibility maps obtained from the models all indicate that the CS model has a relatively better performance than the ES model. However, the comparison of overlapping susceptibility areas suggests that 52.8% of the very high susceptibility areas derived from the CS model coincide with the ES model; and for the very low susceptibility areas, this proportion is 73.55%. Thus, it can be concluded that the assessment based on existing earthquake-induced landslides and the ES model could provide better background information for seismic landslide susceptibility mapping and disaster prevention.
C1 [Tian, Yingying; Xu, Chong; Zhou, Qing; Wang, Duo] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing, Peoples R China.
   [Hong, Haoyuan] Nanjing Normal Univ, Coll Geog Sci, Nanjing, Jiangsu, Peoples R China.
   [Hong, Haoyuan] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Nanjing
   Normal University; Nanjing Normal University
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing, Peoples R China.
EM xuchong@ies.ac.cn
TC 76
Z9 89
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1947-5705
EI 1947-5713
PD JAN 1
PY 2019
VL 10
IS 1
BP 1
EP 25
DI 10.1080/19475705.2018.1487471
SC Geology; Meteorology & Atmospheric Sciences; Remote Sensing; Water
   Resources
UT WOS:000454617900001
ER

PT J
AU Du, WJ
   Wu, K
   Fu, XD
   Sheng, Q
   Chen, J
   Wang, X
AF Du, Wenjie
   Wu, Kai
   Fu, Xiaodong
   Sheng, Qian
   Chen, Jian
   Wang, Xing
TI Failure history, mechanism, and recent run-out reproduction of the
   Xinhua Village landslide triggered by the 2022 Ms 6.1 Lushan earthquake
SO LANDSLIDES
DT Article
DE Retrogressive shallow landslide; Evolutionary history; Run-out
   simulation; Earthquake triggering
ID WENCHUAN EARTHQUAKE; AREA
AB On June 1, 2022, at 17:00, an Ms 6.1 earthquake occurred in Lushan County, Ya'an City, Sichuan Province (30.37 degrees N, 102.94 degrees E), followed by an Ms 4.5 earthquake at 17:03 in Baoxing County, Ya'an City (30.37 degrees N, 102.92 degrees E). These two earthquakes were superimposed on continuous rainfall that began on May 6, 2022, inducing instability in the upper part of the reinforced section at the exit of the Xinhua Village Tunnel, resulting in a large high-altitude landslide. The landslide deposited material around 280 m upstream of the Baoxing Power Station dam, forming a barrier lake and causing the water level in the reservoir to rise by about 5 m. The accumulated material in the river channel is estimated to be about 200,000 m3. The residual landslide buried the tunnel exit and the National Road G351 foundation outside the tunnel, with an estimated volume of about 560,000 m3 and a maximum burial depth of 58 m. The landslide closed the G351 Xinhua Village Tunnel, affecting the operation of this important transportation corridor on the eastern edge of the Qinghai-Tibet Plateau. This research summarizes the development of the Xinhua Village landslide over the past decade under the influences of multiple earthquakes, rainfall, and heavy snow. Our research presents a preliminary investigation of the failure and kinematic characteristics of this landslide based on a field survey, unmanned aerial vehicle (UAV) photogrammetry, and 3D-MPM numerical simulation. These methods provide more detailed information about the movement of the landslide than traditional field investigation.
C1 [Du, Wenjie; Fu, Xiaodong; Sheng, Qian; Chen, Jian; Wang, Xing] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China.
   [Du, Wenjie; Fu, Xiaodong; Sheng, Qian; Chen, Jian; Wang, Xing] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
   [Wu, Kai] Sichuan Highway Planning Survey Design & Res Inst, Chengdu 610041, Sichuan, Peoples R China.
   [Chen, Jian] CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad, Pakistan.
C3 Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS
RP Du, WJ (corresponding author), Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China.
EM wjdu@mail.whrsm.ac.cn
TC 11
Z9 11
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1612-510X
EI 1612-5118
PD DEC
PY 2023
VL 20
IS 12
BP 2675
EP 2693
DI 10.1007/s10346-023-02148-x
SC Engineering; Geology
UT WOS:001100719000009
ER

PT J
AU Meng, QK
   Miao, F
   Zhen, J
   Wang, XY
   Wang, A
   Peng, Y
   Fan, Q
AF Meng, Qingkai
   Miao, Fang
   Zhen, Jing
   Wang, Xinyuan
   Wang, An
   Peng, Ying
   Fan, Qiang
TI GIS-based landslide susceptibility mapping with logistic regression,
   analytical hierarchy process, and combined fuzzy and support vector
   machine methods: a case study from Wolong Giant Panda Natural Reserve,
   China
SO BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
DT Article
DE Landslide susceptibility map; Wolong Giant Panda Natural Reserve; GIS;
   Combined fuzzy and SVM
ID ARTIFICIAL NEURAL-NETWORKS; WEIGHTED LINEAR COMBINATION; 2008 WENCHUAN
   EARTHQUAKE; BLACK-SEA REGION; CONDITIONAL-PROBABILITY; FREQUENCY RATIO;
   BIVARIATE STATISTICS; SAMPLING STRATEGIES; SPATIAL PREDICTION;
   DEMPSTER-SHAFER
AB Landslides, as one of the most destructive natural phenomena, distribute extensively in Wolong Giant Panda Natural Reserve and cause damage to both humans and endangered species. Therefore, landslide susceptibility zonation (LSZ) mapping is necessary for government agencies and decision makers to select suitable locations for giant pandas. The main purpose of this study is to produce landside susceptibility maps using logistic regression (LR), analytical hierarchy process (AHP), and a combined fuzzy and support vector machine (F-SVM) hybrid method based on geographic information systems (GIS). A total of 1773 landslide scarps larger than one cell (25 9 25 m(2)) were selected in the landslide inventory mapping, 70 % of which were selected at random to be used as test data, and the other 30 % were used as validation. Topographical, geological, and hydrographical data were collected, processed, and constructed into a spatial database. Nine conditioning factors were chosen as influencing factors related to landslide occurrence: slope degree, aspect, altitude, profile curvature, geology and lithology, distance from faults, distance from rivers, distance from roads, and normalized difference vegetation index (NDVI). Landslide susceptible areas were analyzed and mapped using the landslide occurrence factors by different methods. For conventional assessment, weights and rates of the affecting factors were assigned based on experience and knowledge of experts. In order to reduce the subjectivity, a combined fuzzy and SVM hybrid model was generated for LSZ in this paper. In this approach, the rates of each thematic layer were generated by the fuzzy similarity method, and weights were created by the SVM method. To confirm the practicality of the susceptibility map produced by this improved method, a comparison study with LR, AHP was assessed by means of their validation. The outcome indicated that the combined fuzzy and SVM method (accuracy is 85.73 %) is better than AHP (accuracy is 78.84 %), whereas it is relatively similar to LR (accuracy is 84.55 %). The susceptibility map based on combined the fuzzy and SVM approach also shows that 5.8 % of the study area is assigned as very highly susceptible areas, and 17.8 % of the study area is assigned as highly susceptible areas.
C1 [Meng, Qingkai; Miao, Fang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Key Lab Earth Explorat & Informat Tech, Coll Geophys,Minist Educ, Chengdu 610059, Peoples R China.
   [Zhen, Jing; Wang, Xinyuan] Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100094, Peoples R China.
   [Wang, An] Chengdu Univ Technol, Coll Informat Sci & Technol, Chengdu 610059, Peoples R China.
   [Peng, Ying] Chengdu Univ Technol, Coll Nucl Technol & Automat Engn, Chengdu 610059, Peoples R China.
   [Fan, Qiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chinese Academy of Sciences; Chengdu
   University of Technology; Chengdu University of Technology; Chengdu
   University of Technology
RP Meng, QK (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Key Lab Earth Explorat & Informat Tech, Coll Geophys,Minist Educ, Chengdu 610059, Peoples R China.
EM mengqk@cdut.edu.cn; mf@cdut.edu.cn; zhenjing@radi.ac.cn;
   wangxy@radi.ac.cn; amturing@outlook.com; ypeng@cdut.edu.cn;
   fanq@cdut.edu.cn
TC 60
Z9 68
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1435-9529
EI 1435-9537
PD AUG
PY 2016
VL 75
IS 3
BP 923
EP 944
DI 10.1007/s10064-015-0786-x
SC Engineering; Geology
UT WOS:000384816300004
ER

PT J
AU Boukhari, Y
   Lucas, A
   Le Bouteiller, C
   Klotz, S
   Chabaud, G
   Jacquemoud, S
AF Boukhari, Yassine
   Lucas, Antoine
   Le Bouteiller, Caroline
   Klotz, Sebastien
   Chabaud, Gabrielle
   Jacquemoud, Stephane
TI Spatial assessment of sediment production in a badland catchment using
   repeat LiDAR surveys, Draix, Alpes de Haute-Provence, France
SO EARTH SURFACE DYNAMICS
DT Article
ID 2008 WENCHUAN EARTHQUAKE; EROSION PROCESSES; SOIL-EROSION; BLACK MARLS;
   SOUTHERN ALPS; TRIGGERED LANDSLIDES; TERRESTRIAL LIDAR; CLIMATE-CHANGE;
   FRENCH ALPS; YIELD
AB With denudation rates locally exceeding one centimetre of weathered marl per year, i.e., more than 200 T ha-1 yr-1, the badlands of the Durance basin in the French Alps are one of the most eroding areas in the world. Since 1983, the Draix-Bl & eacute;one Observatory has been using hydro-sedimentary stations to monitor several of these small, unmanaged badland catchments, where the hydrological response to seasonal storms is rapid and intense. In order to fingerprint soil loss in the 86 ha Laval basin, we combine outlet records with an analysis of airborne and UAV LiDAR data taken over a 6-year period, alongside a bulk density model to account for porosity variations with depth and drainage network reconstruction. This allows us to map mass movements and determine a sediment budget at catchment scale. We find that landslides and crest failures represent very active areas, accounting for at least 15 % of the watershed's sediment budget throughout the period under study, despite affecting only 1 % of the bare surfaces. They contribute to the high erosion rates observed in low-drainage areas, with up to two centimetres of fresh marl lost per year, 3.5 times the average value on the rest of the bare slopes. Despite certain methodological constraints, our approach seems very promising at identifying local erosion hotspots, quantifying their contribution to the sediment budget and assessing sediment transport across geomorphological units. It could also be adapted to time series and more detailed identification of geomorphic processes in order to monitor the dynamics of badland catchments in a changing climate.
C1 [Boukhari, Yassine; Lucas, Antoine; Chabaud, Gabrielle; Jacquemoud, Stephane] Univ Paris Cite, Inst Phys Globe Paris, CNRS, F-75005 Paris, France.
   [Le Bouteiller, Caroline; Klotz, Sebastien] Univ Grenoble Alpes, INRAE, Grenoble INP, CNRS,IGE,IRD, F-38000 Grenoble, France.
C3 Universite Paris Cite; Centre National de la Recherche Scientifique
   (CNRS); Centre National de la Recherche Scientifique (CNRS); INRAE;
   Institut de Recherche pour le Developpement (IRD); Communaute Universite
   Grenoble Alpes; Universite Grenoble Alpes (UGA); Institut National
   Polytechnique de Grenoble
RP Boukhari, Y; Lucas, A (corresponding author), Univ Paris Cite, Inst Phys Globe Paris, CNRS, F-75005 Paris, France.
EM boukhari@ipgp.fr; lucas@ipgp.fr
TC 0
Z9 0
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 2196-6311
EI 2196-632X
PD NOV 17
PY 2025
VL 13
IS 6
BP 1205
EP 1228
DI 10.5194/esurf-13-1205-2025
SC Physical Geography; Geology
UT WOS:001615390300001
ER

PT J
AU Yao, SY
   Bazai, NA
   Tang, JB
   Jiang, H
   Yi, SJ
   Zou, Q
   Ahmed, T
   Guo, J
AF Yao Shunyu
   Bazai, Nazir Ahmed
   Tang Jinbo
   Jiang Hu
   Yi Shujian
   Zou Qiang
   Ahmed, Tashfain
   Guo Jian
TI Dynamic process of a typical slope debris flow: a case study of the
   wujia gully, Zengda, Sichuan Province, China
SO NATURAL HAZARDS
DT Article
DE Slope failure; Topography; Shallow water equation; Debris flow movement
ID WENCHUAN EARTHQUAKE; GLACIAL TILL; LANDSLIDE; ZHOUQU; RIVER; MECHANISMS;
   SIMULATION; RAINFALL; DISASTER; HAZARDS
AB On July 25, 2020, a debris flow occurred in the Wujia Gully, Sichuan Province, China. The last debris flow in this gully occurred 70 years ago and severely impacted the area downstream. The primary goal of this study was to analyze the impact of the topography on the movement process of the debris flow. To gain a precise understanding, a dataset was compiled, including metrological data, field data, accounts from locals, field sampling to obtain specific information using Unmanned Aerial Vehicle (UAV) photography, and the rheological properties of the debris flow slurry obtained through soil mechanics and rheological experiments. The movement process of the debris flow was simulated using the depth-integrated continuum approach. Based on numerical simulation analysis, the influence of the Wujia gully's topography on the debris flow's dynamic process was examined. It was found that the debris flow in the Wujia Gully was a typical viscous debris flow, and the debris flow slurry had the properties of a Bingham fluid. The dynamic process of the debris flow was divided into four stages: an acceleration stage, a deceleration stage in the channel, a smooth movement stage, and a slow accumulation stage. The topography was the main factor controlling the formation of the four stages of the dynamic process. Furthermore, Manning's resistance coefficient did not change the debris flow's dynamic process, but it significantly affected the velocity and duration of each stage. The results of this study provide a reference for future research on debris flow kinematics and flow channels of typical slope debris flows and their movement processes.
C1 [Yao Shunyu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Bazai, Nazir Ahmed] CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan.
   [Yao Shunyu] Chinese Acad Sci, Key Lab Land Surface Syst & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China.
   [Yao Shunyu; Yi Shujian; Zou Qiang] Chinese Acad Sci, Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Bazai, Nazir Ahmed; Tang Jinbo; Jiang Hu; Yi Shujian; Zou Qiang] Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Jiang Hu] Southwest Univ Sci & Technol, Sch Environm & Resource, Mianyang 621010, Sichuan, Peoples R China.
   [Ahmed, Tashfain] Balochistan Univ Informat Technol Engn & Manageme, Fac Informat Commun Technol, Dept Comp Sci, Quetta, Pakistan.
   [Guo Jian] Changan Univ, Dept Geol Engn, Xian 710064, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; Chinese Academy
   of Sciences; University of Chinese Academy of Sciences, CAS; Chinese
   Academy of Sciences; Institute of Mountain Hazards & Environment, CAS;
   Southwest University of Science & Technology - China; Balochistan
   University of Information Technology, Engineering & Management Sciences
   BUITEMS; Chang'an University
RP Bazai, NA (corresponding author), CAS HEC, China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan.; Bazai, NA (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
EM nazirbazai61@yahoo.com
TC 11
Z9 13
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD MAY
PY 2022
VL 112
IS 1
BP 565
EP 586
DI 10.1007/s11069-021-05194-7
EA JAN 2022
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000740627000001
ER

PT J
AU Bhuyan, K
   Meena, SR
   Nava, L
   van Westen, C
   Floris, M
   Catani, F
AF Bhuyan, Kushanav
   Meena, Sansar Raj
   Nava, Lorenzo
   van Westen, Cees
   Floris, Mario
   Catani, Filippo
TI Mapping landslides through a temporal lens: an insight toward
   multi-temporal landslide mapping using the u-net deep learning model
SO GISCIENCE & REMOTE SENSING
DT Article
DE Multi-temporal; deep learning; U-net; Himalayan; landslide inventories
ID WENCHUAN EARTHQUAKE; HAZARD ASSESSMENT; INVENTORY; BASIN
AB Repeated temporal mapping of landslides is essential for investigating changes in landslide movements, legacy effects of the landslide triggering events, and susceptibility changes in the area. However, in order to perform such investigations, multi-temporal (MT) inventories of landslides are required. The traditional approach of visual interpretation from cloud-free optical remote sensing imageries is time consuming and expensive. Recent endeavors exploring Convolutional Neural Networks and deep learning models have made rapid and accurate mapping of landslides feasible but have not been applied for multi-temporal landslide mapping in the Himalayas, yet. Earlier models used a standard supervised learning approach, with a small landslide inventory over a limited area used for training, which is then utilized to predict landslides in nearby areas. We propose a new strategy, using geographically separate training samples to design a standard approach which can be utilized to create multi-temporal landslide inventories. RapidEye images of 5-meters spatial resolution are used to generate MT landslide inventories in the study area of Rasuwa district, Nepal. We test the effectiveness of the model by training with only 55 landslides and predicting for a different area. Then, using the weights attained from this first training phase, we use transfer learning to map landslides over a time period between 2013 and 2019 in the Rasuwa district attaining an average F1-score of 0.69 for the study area. We also perform a spatial comparison between the manual (observed) and predicted inventories to evaluate the differences between landslide densities and overall landslide statistics of landslide area distribution. The benefit of a transfer learning-based model training is that it circumvents the need for generating annual inventories for training a deep learning. A single event-based inventory is enough to generate landslide inventories over a number of years, at least until landslide conditioning factors do not change significantly. This application can enable automated workflows to generate MT landslide inventories of particular areas as the basis for landslide evolution and movement change analysis.
C1 [Bhuyan, Kushanav; Meena, Sansar Raj; Nava, Lorenzo; Floris, Mario; Catani, Filippo] Univ Padua, Dept Geosci, Machine Intelligence & Slope Stabil Lab, Padua, Italy.
   [Bhuyan, Kushanav; Meena, Sansar Raj; van Westen, Cees] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Ctr Disaster Resilience, Dept Appl Earth Sci, Enschede, Netherlands.
C3 University of Padua; University of Twente
RP Meena, SR (corresponding author), Univ Padua, Dept Geosci, Machine Intelligence & Slope Stabil Lab, Padua, Italy.; Meena, SR (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Ctr Disaster Resilience, Dept Appl Earth Sci, Enschede, Netherlands.
EM s.r.meena@utwente.nl
TC 23
Z9 25
PU TAYLOR & FRANCIS LTD
PI ABINGDON
PA 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
SN 1548-1603
EI 1943-7226
PD DEC 31
PY 2023
VL 60
IS 1
AR 2182057
DI 10.1080/15481603.2023.2182057
SC Physical Geography; Remote Sensing
UT WOS:000948627500001
ER

PT J
AU Shi, XG
   Hu, X
AF Shi, Xuguo
   Hu, Xie
TI Characterization of landslide displacements in an active fault zone in
   Northwest China
SO EARTH SURFACE PROCESSES AND LANDFORMS
DT Article
DE displacements; InSAR; Pingding-Huama fault; rainfall-driven landslides;
   slow-moving landslides
ID SURFACE DEFORMATION; GANSU PROVINCE; DEBRIS FLOW; WENCHUAN EARTHQUAKE;
   ZHOUQU COUNTY; INSAR; BASIN
AB Landslides can be caused by natural forcing and anthropogenic activities. Zhouqu County (China) on the eastern margin of Qinghai-Tibet Plateau is set within the active Pingding-Huama fault zone with evident fractures on the land surface. Frequent landslides and debris flows have occurred in this region due to river erosion, rainfall and deforestation. Here we quantified the slope movements using time-series synthetic aperture radar interferometry (InSAR) based on the ascending and descending Sentinel-1 satellite images acquired between October 2014 and August 2020. We observed distinct displacements in the highly fractured fault zone. The eastward and vertical displacement time series between February 2017 and July 2020 were constrained by the common-day ascending and descending acquisitions. The eastward rates (461 mm/year) were greater than those in the vertical direction (-185 mm/year). We also note displacement discontinuities across the thrust faults beneath the Suoertou and Zhongpai landslides. Seasonal variations in the displacement time series suggest that the cyclic rainfall is the primary driver for the mass wasting processes rather than the tectonic loading. As a complement to in situ observations, our results demonstrate that InSAR is an effective tool to characterize the spatio-temporal nature of landslide displacements in complicated geological environments. Plain Language SummaryZhouqu County in the Pingding-Huama fault zone in the eastern margin of Qinghai-Tibet Plateau is identified as a high priority site to research on clusters of landslides and debris flows in a mixed geodynamic setting of active tectonics, seasonal rainfall, river erosion and anthropogenic activities. However, our knowledge about landslide kinematics in this complicated region is still limited. We relied on remote sensing images from one ascending and one descending Sentinel-1 satellite tracks to constrain the spatial-temporal displacement dynamics of active landslides from 2014 to 2020. The spatial patterns of displacements are determined by thrust faulting, river erosion, and anthropogenic activities. The temporal variations of landslide speed are mainly controlled by the seasonal rainfall rather than the tectonic loading.
C1 [Shi, Xuguo] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China.
   [Hu, Xie] Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China.
C3 China University of Geosciences; Peking University
RP Hu, X (corresponding author), Peking Univ, Coll Urban & Environm Sci, Beijing, Peoples R China.
EM hu.xie@pku.edu.cn
TC 7
Z9 8
PU WILEY
PI HOBOKEN
PA 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
SN 0197-9337
EI 1096-9837
PD AUG
PY 2023
VL 48
IS 10
BP 1926
EP 1939
DI 10.1002/esp.5594
EA APR 2023
SC Physical Geography; Geology
UT WOS:000976679200001
ER

PT J
AU Cui, WQ
   He, X
   Yao, M
   Wang, ZW
   Li, J
   Hao, YJ
   Wu, WJ
   Zhao, HL
   Chen, XF
   Cui, W
AF Cui, Wenqi
   He, Xin
   Yao, Meng
   Wang, Ziwei
   Li, Jie
   Hao, Yuanjie
   Wu, Weijie
   Zhao, Huiling
   Chen, Xianfeng
   Cui, Wei
TI Landslide Image Captioning Method Based on Semantic Gate and Bi-Temporal
   LSTM
SO ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
DT Article
DE landslide; image captioning; bi-temporal LSTM; semantic segmentation
ID DISASTER RISK; FRAMEWORK
AB When a landslide happens, it is important to recognize the hazard-affected bodies surrounding the landslide for the risk assessment and emergency rescue. In order to realize the recognition, the spatial relationship between landslides and other geographic objects such as residence, roads and schools needs to be defined. Comparing with semantic segmentation and instance segmentation that can only recognize the geographic objects separately, image captioning can provide richer semantic information including the spatial relationship among these objects. However, the traditional image captioning methods based on RNNs have two main shortcomings: the errors in the prediction process are often accumulated and the location of attention is not always accurate which would lead to misjudgment of risk. To handle these problems, a landslide image interpretation network based on a semantic gate and a bi-temporal long-short term memory network (SG-BiTLSTM) is proposed in this paper. In the SG-BiTLSTM architecture, a U-Net is employed as an encoder to extract features of the images and generate the mask maps of the landslides and other geographic objects. The decoder of this structure consists of two interactive long-short term memory networks (LSTMs) to describe the spatial relationship among these geographic objects so that to further determine the role of the classified geographic objects for identifying the hazard-affected bodies. The purpose of this research is to judge the hazard-affected bodies of the landslide (i.e., buildings and roads) through the SG-BiTLSTM network to provide geographic information support for emergency service. The remote sensing data was taken by Worldview satellite after the Wenchuan earthquake happened in 2008. The experimental results demonstrate that SG-BiTLSTM network shows remarkable improvements on the recognition of landslide and hazard-affected bodies, compared with the traditional LSTM (the Baseline Model), the BLEU1 of the SG-BiTLSTM is improved by 5.89%, the matching rate between the mask maps and the focus matrix of the attention is improved by 42.81%. In conclusion, the SG-BiTLSTM network can recognize landslides and the hazard-affected bodies simultaneously to provide basic geographic information service for emergency decision-making.
C1 [Cui, Wenqi; Chen, Xianfeng] Wuhan Univ Technol, Sch Safety Sci & Emergency Management, Wuhan 430070, Peoples R China.
   [He, Xin; Yao, Meng; Wang, Ziwei; Li, Jie; Hao, Yuanjie; Wu, Weijie; Zhao, Huiling; Cui, Wei] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China.
C3 Wuhan University of Technology; Wuhan University of Technology
RP Chen, XF (corresponding author), Wuhan Univ Technol, Sch Safety Sci & Emergency Management, Wuhan 430070, Peoples R China.
EM W.Q.Cui@whut.edu.cn; 2962575697@whut.edu.cn; yaomeng@whut.edu.cn;
   zwei@whut.edu.cn; Ljie@whut.edu.cn; haoyuanjie@whut.edu.cn;
   wwjie@whut.edu.cn; zhaoh12016@whutedu.cn; cxf618@whut.edu.cn;
   cuiwei@whut.edu.cn
TC 17
Z9 18
PU MDPI
PI BASEL
PA Gross-peteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2220-9964
PD APR
PY 2020
VL 9
IS 4
AR 194
DI 10.3390/ijgi9040194
SC Computer Science; Physical Geography; Remote Sensing
UT WOS:000539535700009
ER

PT J
AU Huang, JP
   Zhang, ZZ
   Ling, SX
   Shi, GM
   Zhang, YY
   Chen, K
AF Huang, Junpeng
   Zhang, Zizhao
   Ling, Sixiang
   Shi, Guangming
   Zhang, Yanyang
   Chen, Kai
TI Landslide susceptibility mapping using advanced ensemble learning
   techniques integrating a reduced error pruning tree
SO ADVANCES IN SPACE RESEARCH
DT Article
DE Landslide susceptibility; Reduced error pruning tree; Ensemble learning;
   Hybrid model; Random committee; Overfitting
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; SPATIAL PREDICTION;
   ROTATION FOREST; LOGISTIC-REGRESSION; HAZARD ASSESSMENT; FREQUENCY
   RATIO; HYBRID APPROACH; AREA; MODELS
AB Landslide susceptibility mapping plays a vital role in disaster risk reduction, urban planning, and infrastructure protection, particularly in mountainous regions like the eastern margin of the Tibetan Plateau. However, conventional machine learning models often suffer from overfitting and limited generalization capacity due to insufficient feature diversity and modelling strategies. Therefore, this study proposes three novel hybrid models that integrate ensemble learning algorithms (bagging (Ba), random committee (RC), and rotation forest (RoF)) with the reduced error pruning tree (REPT) classifier to assess landslide susceptibility in Dujiangyan city, China. Initially, a geospatial database of the study area was prepared that included 1275 landslide events that were divided into training (70 %) and testing (30 %) datasets and 13 landslide conditioning factors. Then, the selection of landslide conditioning factors was evaluated using information gain. Finally, the area under the receiver operating characteristic curve (AUC) and statistical indices were used to evaluate and validate the performance of the models. The results reveal that the slope angle, lithology, and peak ground acceleration are the most important parameters influencing landside occurrence. The Ba-REPT model achieved the highest AUC (0.857) and highest accuracy (78.66 %), followed by the RoF-REPT (AUC = 0.851, accuracy = 77.49 %), RC-REPT (AUC = 0.849, accuracy = 77.36 %), and REPT (AUC = 0.819, accuracy = 77.09 %) models. Moreover, performance differences between training and testing sets were relatively small, indicating that overfitting was effectively mitigated through preprocessing, feature selection, and algorithm optimization. High and very high susceptibility zones, covering 20.13 % similar to 24.30 % of the area, were primarily concentrated in regions with steep slopes, fragile lithology, high PGA, and proximity to active faults. The resulting susceptibility maps provide spatially explicit support for disaster prevention, early warning, and land-use policy-making. (c) 2025 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
C1 [Huang, Junpeng; Zhang, Zizhao; Shi, Guangming; Zhang, Yanyang; Chen, Kai] Xinjiang Univ, Sch Geol & Min Engn, Urumqi 830017, Peoples R China.
   [Huang, Junpeng; Zhang, Zizhao; Shi, Guangming; Zhang, Yanyang; Chen, Kai] Xinjiang Univ, State Key Lab Geomech & Deep Underground Engn, Urumqi 830017, Peoples R China.
   [Ling, Sixiang] Southwest Jiaotong Univ, Fac Geosci & Engn, Chengdu 61175, Peoples R China.
C3 Xinjiang University; Xinjiang University; Southwest Jiaotong University
RP Zhang, ZZ (corresponding author), 777 Huarui St,Shuimogou Zone, Urumqi 830017, Peoples R China.
EM huangjunpeng@xju.edu.cn; zhangzizhao@xju.edu.cn
TC 0
Z9 0
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0273-1177
EI 1879-1948
PD NOV 1
PY 2025
VL 76
IS 9
BP 5102
EP 5125
DI 10.1016/j.asr.2025.08.014
EA OCT 2025
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:001590672500009
ER

PT J
AU Hao, LN
   Rajaneesh, A
   van Westen, C
   Sajinkumar, KS
   Martha, TR
   Jaiswal, P
   McAdoo, BG
AF Hao, Lina
   Rajaneesh, A.
   van Westen, Cees
   Sajinkumar, K. S.
   Martha, Tapas Ranjan
   Jaiswal, Pankaj
   McAdoo, Brian G.
TI Constructing a complete landslide inventory dataset for the 2018 monsoon
   disaster in Kerala, India, for land use change analysis
SO EARTH SYSTEM SCIENCE DATA
DT Article; Data Paper
ID 2008 WENCHUAN EARTHQUAKE; WESTERN-GHATS; IMAGE-ANALYSIS; COVER CHANGE;
   FIELD SURVEY; SUSCEPTIBILITY; RAINFALL; HAZARD; AREA; EXTREMES
AB Event-based landslide inventories are important for analyzing the relationship between the intensity of the trigger (e.g., rainfall, earthquake) and the density of the landslides in a particular area as a basis for the estimation of the landslide probability and the conversion of susceptibility maps into hazard maps required for risk assessment. They are also crucial for the establishment of local rainfall thresholds that are the basis of early warning systems and for evaluating which land use and land cover changes are related to landslide occurrence. The completeness and accuracy of event-based landslide inventories are crucial aspects to derive reliable results or the above types of analyses. In this study, we generated a relatively complete landslide inventory for the 2018 monsoon landslide event in the state of Kerala, India, based on two inventories that were generated using different methods: one based on an object-based image analysis (OBIA) and the other on field surveys of damaging landslides. We used a collaborative mapping approach based on the visual interpretation of pre- and post-event high-resolution satellite images (HRSIs) available from Google Earth, adjusted the two inventories, and digitized landslides that were missed in the two inventories. The reconstructed landslide inventory database contains 4728 landslides consisting of 2477 landslides mapped by the OBIA method, 973 landslides mapped by field survey, 422 landslides mapped both by OBIA and field methods, and an additional 856 landslides mapped using the visual image (Google Earth) interpretation. The dataset is available at https://doi.org/10.17026/dans-x6c-y7x2 (van Westen, 2020). Also, the location of the landslides was adjusted, based on the image interpretation, and the initiation points were used to evaluate the land use and land cover changes as a causal factor for the 2018 monsoon landslides. A total of 45% of the landslides that damaged buildings occurred due to cut-slope failures, while 34% of those having an impact on roads were due to road cut-slope failures. The resulting landslide inventory is made available for further studies.
C1 [Hao, Lina] Chengdu Univ Technol, Fac Earth Sci, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.
   [Hao, Lina; van Westen, Cees] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
   [Rajaneesh, A.; Sajinkumar, K. S.] Univ Kerala, Dept Geol, Thiruvananthapuram 695581, Kerala, India.
   [Sajinkumar, K. S.] Michigan Technol Univ, Dept Geol & Min Engn & Sci, Houghton, MI 49931 USA.
   [Martha, Tapas Ranjan] Indian Space Res Org, Natl Remote Sensing Ctr, Hyderabad, India.
   [Jaiswal, Pankaj] Geol Survey India GSI, Ranchi, Bihar, India.
   [McAdoo, Brian G.] Yale NUS Coll, Environm Studies, Singapore, Singapore.
C3 Chengdu University of Technology; University of Twente; University of
   Kerala; Michigan Technological University; Department of Space (DoS),
   Government of India; Indian Space Research Organisation (ISRO); National
   Remote Sensing Centre (NRSC); Yale NUS College
RP Hao, LN (corresponding author), Chengdu Univ Technol, Fac Earth Sci, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu, Peoples R China.; Hao, LN; van Westen, C (corresponding author), Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands.
EM hao_ln@qq.com; c.j.vanwesten@utwente.nl
TC 77
Z9 87
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1866-3508
EI 1866-3516
PD NOV 16
PY 2020
VL 12
IS 4
BP 2899
EP 2918
DI 10.5194/essd-12-2899-2020
SC Geology; Meteorology & Atmospheric Sciences
UT WOS:000592776100001
ER

PT J
AU Shen, T
   Xu, XW
   Li, YJ
   Huang, LY
   Rogozhin, EA
   Wang, QX
   Kang, WJ
   Lei, XQ
AF Shen, Tuo
   Xu, Xiwei
   Li, Yujiang
   Huang, Luyuan
   Rogozhin, E. A.
   Wang, Qixin
   Kang, Wenjun
   Lei, Xiaoqiong
TI Effects of Lithospheric Properties on Crustal Strain at Both Ends of
   Longmen Shan Orogenic Belt: Based on Numerical Simulation
SO FRONTIERS IN EARTH SCIENCE
DT Article
DE Longmen Shan fault; viscosity; finite element method; uplift; Ruoergai
   block; lithosphere
ID EASTERN TIBETAN PLATEAU; 7.9 WENCHUAN EARTHQUAKE; WESTERN SICHUAN BASIN;
   THRUST BELT; VELOCITY STRUCTURE; FAULT ZONE; TECTONIC IMPLICATIONS;
   SEISMIC-REFLECTION; STRUCTURE BENEATH; SLIP RATES
AB Strain partitioning and accommodation are fundamental constraints to evaluate tectonic models of orogenic plateaus. The uplift mechanism issue of the eastern Tibetan Plateau has remained a long-term focus since the last century, namely, the steep uplift of the Longmen Shan area. Several tectonic models have been proposed to describe the uplift process of the central Longmen Shan area along the eastern margin of the Tibetan Plateau. Such as upper crustal shortening, mid-crustal channel flow, and whole-crust shearing. However, these models are typically examined through vertical differences. Geophysical, geological, remote sensing and geochemistry observation data indicate that there occur not only vertical differences but also obvious horizontal differences along the Longmen Shan orogenic belt. Based on the finite element method, we employed two-dimensional profiles crossed northern and southern Longmen Shan fault to reconstruct the uplift process of the Longmen Shan orogenic belt. The mechanical properties of the lithosphere south of the Longmen Shan orogenic belt were slightly less favorable than those of the lithosphere north of the Longmen Shan orogenic belt. For the better fitting result in the southern part viscosity of lower crust is less than 10(21) Pa center dot s and in the northern part viscosity of lower crust is around 10(22) Pa center dot s. The uplift processes in the upper and lower crust of the Longmen Shan orogenic belt were partially decoupled. The deformation of lithosphere in the northern Longmen Shan orogenic belt is smaller than it in southern Longmen Shan orogenic belt. Due to that the rigid Ruoergai block maybe resists the formation of a weak layer or enters of weak materials to the northern Longmen Shan block, resulting in the observed difference in lithospheric properties between the northern and southern Longmen Shan blocks.
C1 [Shen, Tuo; Xu, Xiwei; Li, Yujiang; Huang, Luyuan; Wang, Qixin; Kang, Wenjun; Lei, Xiaoqiong] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.
   [Shen, Tuo] Peking Univ, Sch Earth & Space Sci, Dept Geophys, Beijing, Peoples R China.
   [Rogozhin, E. A.] Russian Acad Sci, Schmidt Inst Phys Earth, Moscow, Russia.
C3 Peking University; Russian Academy of Sciences; Schmidt Institute of
   Physics of the Earth of the Russian Academy of Sciences
RP Xu, XW (corresponding author), Minist Emergency Management China, Natl Inst Nat Hazards, Beijing, Peoples R China.
EM xiweixu@vip.sina.com
TC 1
Z9 1
PU FRONTIERS MEDIA SA
PI LAUSANNE
PA AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND
EI 2296-6463
PD MAY 25
PY 2022
VL 10
AR 895363
DI 10.3389/feart.2022.895363
SC Geology
UT WOS:000808450800001
ER

PT J
AU Liu, SJ
   Cui, Y
   Wei, LH
   Liu, WF
   Ji, MY
AF Liu, Shanjun
   Cui, Yi
   Wei, Lianhuan
   Liu, Wenfang
   Ji, Meiyi
TI Pre-earthquake MBT anomalies in the Central and Eastern Qinghai-Tibet
   Plateau and their association to earthquakes
SO REMOTE SENSING OF ENVIRONMENT
DT Article
DE Pre -earthquake thermal anomalies; Microwave brightness temperature;
   Hierarchical clustering; Wavelet -based two-step difference method;
   Earthquake prediction; Qinghai -Tibet Plateau
ID MICROWAVE BRIGHTNESS TEMPERATURE; ROBUST SATELLITE TECHNIQUES; MOMENT
   TENSOR SOLUTIONS; CRUSTAL DEFORMATION; WENCHUAN EARTHQUAKE; RADIATION;
   SEISMICITY; SYSTEM; FEATURES; SIGNALS
AB Thermal anomalies prior to large and hazardous earthquakes have been extensively detected by thermal infrared and microwave remote sensing techniques. However, few of the current research focuses on long-term tracking of the thermal anomalies for decades and their earthquake prediction potential in a seismically active area. Targeting at exploiting the association of thermal anomalies to earthquakes in terms of time, spatial patterns and magnitudes, comprehensive statistical analysis on the pre-earthquake microwave brightness temperature (MBT) anomalies of 103 destructive earthquakes with Ms. >= 5.0 in the Central and Eastern Qinghai-Tibet Plateau (90 degrees E - 102 degrees E, 28 degrees N - 38 degrees N) is conducted. To detect robust pre-earthquake thermal anomalies buried by the complex background and frequently variant meteorological noise, we propose a wavelet-based two-step difference (WTSD) approach which incorporates hierarchical clustering and wavelet decomposition, adopting it on the 17 years' microwave data collected by AMSR-E and AMSR-2 sensors. Interestingly, an NE trending MBT increase stripe has been repeatedly occurring prior to 60 of the 103 earthquakes (accounting for 58.25%). Then, we conduct comprehensive statistics on the occurring time, spatial patterns and intensities of the MBT anomalies, and find them closely associated to seismic events with Ms. >= 5.0 occurred in the Bayan Har and Qiangtang blocks. And, the MBT anomaly stripe is spatially consistent with the NE trending extensional faults and geothermal fields in this study area. Furthermore, the possible source mechanism of the MBT anomalies is explored with rock loading microwave observation experiments, and possible physical models suggested by predecessors are also discussed. On this basis, we discuss the relationship between the pre-earthquake MBT anomalies and extensional faults, and speculate the MBT anomalies are probably caused by intensified extrusion of the Indian plate to the Eurasian plate and the increased crustal stress, which indicates their significant potential as earthquake precursors in the Central and Eastern Qinghai-Tibet Plateau.
C1 [Liu, Shanjun; Cui, Yi; Wei, Lianhuan; Liu, Wenfang; Ji, Meiyi] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China.
   [Ji, Meiyi] Nat Resources Monitoring Ctr Shangyu Dist, Shaoxing 312300, Peoples R China.
C3 Northeastern University - China
RP Wei, LH (corresponding author), Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China.
EM weilianhuan@mail.neu.edu.cn
TC 11
Z9 11
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0034-4257
EI 1879-0704
PD DEC 1
PY 2023
VL 298
AR 113815
DI 10.1016/j.rse.2023.113815
EA SEP 2023
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:001088518500001
ER

PT J
AU Zhao, B
   Wang, YS
   Li, WL
   Su, LJ
   Lu, JY
   Zeng, L
   Li, X
AF Zhao, Bo
   Wang, Yunsheng
   Li, Weile
   Su, Lijun
   Lu, Jiayan
   Zeng, Lu
   Li, Xiang
TI Insights into the geohazards triggered by the 2017 Ms 6.9 Nyingchi
   earthquake in the east Himalayan syntaxis, China
SO CATENA
DT Article
DE Coseismic geohazards; Ms 6.9 Nyingchi earthquake; Distribution
   characteristics; Dammed lakes; Susceptibility
ID 2008 WENCHUAN EARTHQUAKE; LANDSLIDE SUSCEPTIBILITY;
   SPATIAL-DISTRIBUTION; LOGISTIC-REGRESSION; SICHUAN PROVINCE; TIBET;
   AREA; FREQUENCY; PATTERN; LUSHAN
AB On 2017-11-18, an Ms 6.9 (Mw 6.4) magnitude earthquake struck the NBTN (Namcha Barwa tectonic node), located in the EHS (east Himalayan syntaxis) on the south Tibetan Plateau, China, with an epicenter at 29.87 degrees N and 95.02 degrees E and a focal depth of approximately 10 km. Multiple remote sensing interpretations and field investigations revealed that at least 1816 landslides and 3 dammed lakes were triggered and formed by the Nyingchi earthquake, and the landslide-affected area was approximately 527 km(2). Most geohazards are concentrated in the southeast section of the epicenter, and compared to the outer section (503 landslides), the inner section (1313 landslides) exhibits a notable concentration. The total landslide area is 32.7 km(2) and follows an exponential distribution, namely, Y = 0.023*e([-(Log(x)-3.06)<^>2/0.2738]). The estimated landslide volume is (14.096 + 3.023/-1.844)*10(6) m(3). Rock avalanches are the most common failure pattern in the landslide-affected area, and the largest landslide area reaches 3.6*10(6) m(2). >60% of the landslides occur at elevations ranging from 2600 to 3800 m and at distances to the river midline ranging from 400 to 2400 m, and this range coincides with the upper-top section of the slope. Landslides occurred most frequently in schist and gneiss (1313 landslides, 72.3%). Among the 3 dammed lakes, two dammed lakes were directly triggered by the Nyingchi event, and one dammed lake was formed by an active debris flow gully, namely, the Sedongpu gully. Moreover, numerous dangerous deposits remain in the main flow stream, and special attention should be given to these deposits. Finally, the AHP (analytic hierarchy process)-CF (certainty factor) method is adopted to establish a landslide susceptibility map for further risk assessment.
C1 [Zhao, Bo; Su, Lijun; Zeng, Lu] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Wang, Yunsheng; Li, Weile; Lu, Jiayan; Li, Xiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Su, Lijun] China Pakistan Joint Res Ctr Earth Sci, Islamabad, Pakistan.
   [Su, Lijun] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chengdu University of Technology; Chinese Academy of
   Sciences; University of Chinese Academy of Sciences, CAS
RP Zhao, B (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
EM zhaobo1989@imde.ac.cn
TC 28
Z9 30
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD OCT
PY 2021
VL 205
AR 105467
DI 10.1016/j.catena.2021.105467
EA MAY 2021
SC Geology; Agriculture; Water Resources
UT WOS:000659891800014
ER

PT J
AU Basharat, M
   Riaz, MT
   Jan, MQ
   Xu, C
   Riaz, S
AF Basharat, Muhammad
   Riaz, Muhammad Tayyib
   Jan, M. Qasim
   Xu, Chong
   Riaz, Saima
TI A review of landslides related to the 2005 Kashmir Earthquake:
   implication and future challenges
SO NATURAL HAZARDS
DT Review
DE Landslide hazard; 2005 Kashmir earthquake; Remote sensing; Himalayas
ID BALA ROCK AVALANCHE; CHI-CHI EARTHQUAKE; WENCHUAN EARTHQUAKE;
   SPATIAL-DISTRIBUTION; MASS MOVEMENTS; NW HIMALAYAS; SUSCEPTIBILITY
   ASSESSMENT; SURFACE RUPTURE; 2018 HOKKAIDO; EVOLUTION
AB It has been 15 years since the catastrophic 2005 Kashmir Mw 7.6 earthquake induced thousands of landslides in northern Pakistan and Kashmir. There have been many studies on various aspects of the landslides triggered by the earthquake, such as the mechanisms of individual large landslides, regional seismic landslide inventory mapping, spatial distribution pattern, susceptibility and hazard assessment, and landslide evolution, which provide beneficial scientific results. However, there is currently no summary and generalization of these studies for ready use of the researchers to fully understand the information of the landslide caused by the earthquake. This study comprehensively reviews and summarizes the important results obtained from published data on the landslides. The seismogenic and regional active faults, fragile lithological condition, heavy rainfall, anthropogenic activities, and steep terrain were considered as main controlling factors for the landslide occurrence. Studies on landslide evolution reveal that vegetation on most of the landslides was partially recovered after the earthquake, while slope failures along roads and drainages increased. In the affected area, landslides are still a great threat to communication networks and communities. Despite many past studies, there is still a need or in-depth research using more precise methods to understand the mechanism, hazard, and risk assessment, numerical simulation, landslide risk management and mitigation, and continuous or temporal monitoring of landslides in the affected area. Combined with high-quality data on landslides triggered by other earthquake events in recent years, the study points out the prospects of Kashmir earthquake-induced landslides and summarizes the future challenges of earthquake-triggered landslides research, including accuracy of inventories, the precision of landslide, susceptibility methods, prevention and control of landslide, and landslide hazards and risk assessment. This review can provide a reasonable scientific research and disaster prevention and mitigation strategy and scheme for landslides triggered by a large earthquake in the future.
C1 [Basharat, Muhammad; Riaz, Muhammad Tayyib] Univ Azad Jammu & Kashmir, Inst Geol, Muzaffarabad, Pakistan.
   [Riaz, Muhammad Tayyib] Univ Azad Jammu & Kashmir Neelum Campus, Dept Geol, Athmuqam, Azad Kashmir, Pakistan.
   [Jan, M. Qasim] Univ Peshawar, NCE Geol, Peshawar, Pakistan.
   [Xu, Chong] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
   [Riaz, Saima] WSP Sweden, Stockholm, Sweden.
C3 University of Azad Jammu & Kashmir; University of Peshawar; China
   Earthquake Administration
RP Basharat, M (corresponding author), Univ Azad Jammu & Kashmir, Inst Geol, Muzaffarabad, Pakistan.
EM basharatgeo@ajku.edu.pk
TC 37
Z9 43
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD AUG
PY 2021
VL 108
IS 1
BP 1
EP 30
DI 10.1007/s11069-021-04688-8
EA MAR 2021
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000630286300003
ER

PT J
AU Qi, TJ
   Meng, XM
   Zhao, Y
   Su, XJ
   Chen, G
   Zeng, RQ
   Zhang, Y
   Li, YJ
   Yue, DX
AF Qi, Tianjun
   Meng, Xingmin
   Zhao, Yan
   Su, Xiaojun
   Chen, Guan
   Zeng, Runqiang
   Zhang, Yi
   Li, Yajun
   Yue, Dongxia
TI Formation and distribution of landslides controlled by
   thrust-strike-slip fault zones and fluvial erosion in the Western
   Qinling Mountains, China
SO ENGINEERING GEOLOGY
DT Article
DE Landslide inventory; Thrust-strike-slip fault zone; Fluvial erosion;
   Frequency-area relationships; Western Qinling Mountains
ID WENCHUAN EARTHQUAKE; TIBETAN PLATEAU; SLOPE-FAILURE; RIVER-BASIN; RANGE;
   AREA; SUSCEPTIBILITY; CONSTRAINTS; INVENTORIES; TOPOGRAPHY
AB In active orogenic belts, fault zones and fluvial erosion are the two principal factors that control the development of landslides. The Langma-Baiya fault zone (LBFZ) and the Bailongjiang fault zone (BFZ) in the Western Qinling Mountains (WQM) in China are part of an intracontinental orogenic zone, where landslides are the principal geomorphological process. It is also one of the regions with the most severe landslide disasters in China. We established a historical landslide database for the LBFZ and BFZ, based on high-precision remote sensing image interpretation and field investigation. The results indicated a total of 2764 landslides, including 1190 large landslides and 79 giant landslides. The quality of the landslide database was evaluated using the frequency-area curve distribution characteristics, and the results showed that the small-medium size landslides are underrepresented in the database, likely due to the influence of factors such as surface erosion, vegetation coverage, and human activities. Therefore, we focused on the spatial distribution and formation mechanism of large and giant landslides. Landslides are unevenly distributed in space; specifically, our field investigation and statistical analysis of swath profiles revealed that landslides are aggregated within tectonic zones, in areas of weak rock masses, and on the banks of rivers. Finally, based on the combination of the various factors controlling landslides, we divided the study area into three subregions, for which conceptual models were established. These models highlight the importance of the distance of the fault zone to a river, together with the degree of fluvial erosion, in controlling the development of landslides. The combined effects of fluvial erosion, geological structures, and the low-grade metamorphic rocks exposed along fault zones are major controls on the development of large landslides, and the local structural characteristics of thrust-strike-slip fault zones control the type of landslides.
C1 [Qi, Tianjun; Meng, Xingmin; Zhao, Yan; Su, Xiaojun; Chen, Guan; Zeng, Runqiang; Zhang, Yi; Li, Yajun] Lanzhou Univ, Sch Earth Sci, Lanzhou 730000, Peoples R China.
   [Qi, Tianjun; Meng, Xingmin; Zhao, Yan; Su, Xiaojun; Chen, Guan; Zeng, Runqiang; Zhang, Yi; Li, Yajun; Yue, Dongxia] Technol & Innovat Ctr Environm Geol & Geohazards P, Lanzhou 730000, Peoples R China.
   [Meng, Xingmin; Yue, Dongxia] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
   [Meng, Xingmin] Rm 914 Guanyun Bldg, 222 Tianshui South Rd, Lanzhou 730000, Peoples R China.
C3 Lanzhou University; Lanzhou University
RP Meng, XM (corresponding author), Rm 914 Guanyun Bldg, 222 Tianshui South Rd, Lanzhou 730000, Peoples R China.
EM xmmeng@lzu.edu.cn
TC 22
Z9 24
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD SEP 20
PY 2023
VL 323
AR 107209
DI 10.1016/j.enggeo.2023.107209
EA JUN 2023
SC Engineering; Geology
UT WOS:001034816100001
ER

PT J
AU Liu, J
   Liang, MJ
   Zhang, GH
   Yuan, RM
   Strom, AL
   Ren, ZK
   Shan, XJ
AF Liu, Jiao
   Liang, Mingjian
   Zhang, Guohong
   Yuan, Renmao
   Strom, A. L.
   Ren, Zhikun
   Shan, Xinjian
TI Late Quaternary activity of the Songgang Fault on the eastern Tibetan
   Plateau from geological and geomorphological evidence
SO JOURNAL OF STRUCTURAL GEOLOGY
DT Article
DE Late Quaternary activity; Songgang fault; Geomorphology; Bayan Har
   block; Seismic hazard
ID 7.9 WENCHUAN EARTHQUAKE; MILLENNIAL SLIP RATES; SURFACE RUPTURE ZONE;
   KUNLUN FAULT; TECTONIC EVOLUTION; YUTIAN EARTHQUAKE; YUSHU EARTHQUAKE;
   XIANSHUIHE FAULT; NORTHERN TIBET; OBLIQUE-SLIP
AB The Late Quaternary activity characteristics of faults are essential for understanding regional strain distribution and estimating seismic hazards. The Bayan Har block, located in the northern Tibetan Plateau, is a region with a high level of seismic hazard. Remarkably, over the past three decades, many strong earthquakes have occurred on the block boundary fault zones of the Bayan Har block. However, the 2021 Ms 7.4 Maduo earthquake and the 2022 Maerkang Ms 6.0 earthquake swarm were exceptions as they took place within the Bayan Har block, not on the boundary fault zones. The reason for the occurrence of these intraplate earthquakes presents an interesting research query. The Songgang Fault (SGF) is a NW-trending strike-slip fault within the Bayan Har block. The 2022 Maerkang Ms 6.0 earthquake swarm occurred 6 km northeast of the SGF. What role did the SGF play in the process of the earthquake swarm? Through utilizing high-resolution remote sensing image interpretation, detailed field geological and geomorphologic surveys, trench analysis, and dating technologies, we found that the SGF is a sinistral strike-slip active fault since the Late Pleistocene, exhibiting tectonic behavior conducive to the preparation and occurrence of moderately large earthquakes. OSL dating of dislocated stream channels reveals a left-lateral slip rate of the SGF yields 1.6-2.1 mm/yr since the Late Pleistocene. The SGF distributes and transmits the tectonic deformation within the Bayan Har block, accommodating southeastward lateral extrusion of the Bayan Har block materials and contributing to the kinematic mechanisms of the entire eastern margin of the Tibetan Plateau. Furthermore, the 2022 Ms 6.0 Maerkang earthquake swarm exhibits a conjugate rupture phenomenon in a complex tectonic zone where several secondary fault planes of the SGF converge. This main fault zone deserves attention as a potential source zone of future earthquakes.
C1 [Liu, Jiao; Zhang, Guohong; Yuan, Renmao; Ren, Zhikun; Shan, Xinjian] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam & Forecasting, Beijing 100029, Peoples R China.
   [Liu, Jiao; Zhang, Guohong; Ren, Zhikun; Shan, Xinjian] Natl Observat & Res Stn, Xinjiang Pamir Intracontinental Subduct, Beijing 100029, Peoples R China.
   [Liang, Mingjian] Sichuan Earthquake Agcy, Chengdu 610041, Peoples R China.
   [Strom, A. L.] JSC Hydroproject Inst, Res Inst Energy Struct Branch, Moscow 125080, Russia.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration; Sichuan Earthquake Agency, CEA
RP Liang, MJ (corresponding author), Sichuan Earthquake Agcy, Chengdu 610041, Sichuan, Peoples R China.
EM liujiao@ies.ac.cn; liangmingjian@scdzj.gov.cn; zhanggh@ies.ac.cn;
   yuanrenmao@ies.ac.cn; strom.alexandr@yandex.ru; rzk@ies.ac.cn;
   xjshan@ies.ac.cn
TC 0
Z9 0
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 0191-8141
EI 1873-1201
PD MAY
PY 2025
VL 194
AR 105348
DI 10.1016/j.jsg.2025.105348
EA FEB 2025
SC Geology
UT WOS:001428891200001
ER

PT J
AU Zhang, M
   Yin, YP
   McSaveney, M
AF Zhang, Ming
   Yin, Yueping
   McSaveney, Mauri
TI Dynamics of the 2008 earthquake-triggered Wenjiagou Creek rock
   avalanche, Qingping, Sichuan, China
SO ENGINEERING GEOLOGY
DT Article
DE Wenjiagou Creek rock avalanche; Dynamics; Transport mechanism;
   Ring-shear test; Pervasive fragmentation
ID SLIDE-DEBRIS FLOW; BRITISH-COLUMBIA; FRENCH ALPS; MODEL; RUNOUT;
   FRAGMENTATION; LANDSLIDE; MOTION; INITIATION; CANADA
AB The Wenjiagou Creek rock avalanche was triggered by the 2008 Wenchuan earthquake. It traveled 4.6 km and left a granular deposit of 1.5 x 10(8) m(3) in Wenjiagou Creek valley. The dynamics of the rock avalanche were studied through field and laboratory investigations and remote sensing. The dynamic course was divided into three segments: (1) Failing - the original slope failed due to the huge earthquake ground accelerations acting on a rock mass weakened by severe karstification; (2) Falling - the rock mass experienced several drops due to abrupt changes in slope, and broke into granular debris during collisions with the ground and mountain flanks; and (3) Flow - the broken granular mass flowed approximately 3 km down the valley of Wenjiagou Creek The transport mechanism of the granular mass of debris was studied by analyzing the structure of the deposit and through ring-shear tests. A gully incised into the deposit by rainfall runoff and debris flows enabled the internal structure of the deposit to be examined and sampled. In cross-section, the exposed deposit was finest near the base, and gradually became coarser towards the surface (inverse grading); in longitudinal section, deposits near the base and on the surface both became finer with increasing travel distance. Near the base, the granular debris experienced the maximum normal and shear stresses, and fragmented into the finest grains. Both normal and shear stresses between the grains gradually decreased from near the base to the surface. Samples were sheared in a ring-shear apparatus to simulate the shearing within the granular debris. Shear resistance between grains was found to decrease as grains became finer due to pervasive fragmentation, which is one of the possible mechanisms by which the granular debris was able to travel a long distance at a high speed. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Zhang, Ming] China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Hubei Province, Peoples R China.
   [Yin, Yueping] China Inst Geoenvironm Monitoring, Beijing 100081, Peoples R China.
   [McSaveney, Mauri] GNS Sci, POB 30368, Lower Hutt 9040, New Zealand.
C3 China University of Geosciences; GNS Science - New Zealand
RP Zhang, M (corresponding author), China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Hubei Province, Peoples R China.
EM zhangming8157@126.com
TC 80
Z9 89
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JAN 18
PY 2016
VL 200
BP 75
EP 87
DI 10.1016/j.enggeo.2015.12.008
SC Engineering; Geology
UT WOS:000369197800007
ER

PT J
AU Zhou, YL
   Liu, WM
   Yanites, BJ
   Zhou, LQ
   Li, XM
   Yang, ZW
AF Zhou, Yanlian
   Liu, Weiming
   Yanites, Brian J.
   Zhou, Liqin
   Li, Xuemei
   Yang, Zewen
TI Transient geomorphic response after landslide-induced river damming in
   the eastern margin of the Tibetan plateau
SO CATENA
DT Article
DE Tributary; Min and Dadu Rivers; Channel steepness; Hillslope morphology
   metrics
ID MENDOCINO TRIPLE JUNCTION; WENCHUAN EARTHQUAKE; DAMMED LAKE; SOUTHERN
   ALPS; MIN RIVER; DAMS; EROSION; CHANNEL; FAILURE; REGION
AB It is widely acknowledged that landslide-induced river damming plays a vital role in influencing landscape evolution as it drives river transience. However, how this transient state is transmitted and evolves is still being determined. Here, we focus on the Min and Dadu Rivers in the eastern margin of the Tibetan Plateau, an area abundant with paleolandslide dams, these dams have been used to quantify the transient geomorphic response after damming. We first identified 226 paleolandslide dams through remote sensing and field verification, and calculated the parameters of each paleolandslide dam. Second, we investigated the river longitudinal profile channel steepness index (ksn) and knickpoints along the trunk of both rivers. Third, we extracted all sub-basins smaller than 1000 km2 from both rivers and calculated each sub-basins channel steepness index and hillslope morphology metrics (local relief and slope). The results show that: (1) The landslide dam aligns spatially with the elevated sections of the river's longitudinal profile and areas exhibiting high ksn values, and coincides with specific river knickpoints. (2) Approximately 61 % of the trunk dams show higher ksn values, local relief, and slope values in the surrounding sub-basins, accompanied by peak values. Places with these patterns in our study area sometimes had as many as six landslide-induced river damming events. (3) The 4 typical dams showed a trend of decreasing ksn and hillslope morphology in tributaries upstream and downstream of the dam, and the metric values of the sub-basin are negatively correlated with the distance from the trunk dam. Our findings highlight that the trunk landslide-induced river damming event leads to disturbances in the channel-hillslope system of the adjacent tributaries. Such an approach will provide the potential to examine the transmission of geomorphic responses to landslide-induced river damming and help us better understand the geomorphological evolution after river damming.
C1 [Zhou, Yanlian; Liu, Weiming; Zhou, Liqin; Yang, Zewen] Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.
   [Liu, Weiming] China Pakistan Joint Res Ctr Earth Sci, Islamabad, Pakistan.
   [Zhou, Yanlian; Liu, Weiming; Zhou, Liqin; Yang, Zewen] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Yanites, Brian J.] Indiana Univ, Earth & Atmospher Sci, Bloomington, IN USA.
   [Li, Xuemei] Neijiang Normal Univ, Tuojiang River Basin High Qual Dev Res Ctr, Neijiang 641100, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Mountain Hazards &
   Environment, CAS; Chinese Academy of Sciences; University of Chinese
   Academy of Sciences, CAS; Indiana University System; Indiana University
   Bloomington; Neijiang Normal University
RP Liu, WM (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, State Key Lab Mt Hazards & Engn Resilience, Chengdu 610299, Peoples R China.
EM zhouylyzk@163.com; Liuwm@imde.ac.cn; byanites@indiana.edu;
   zhoulq_01@163.com; lixuemeibj@126.com; yangzewen21@mails.ucas.ac.cn
TC 2
Z9 2
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD NOV
PY 2024
VL 246
AR 108382
DI 10.1016/j.catena.2024.108382
EA SEP 2024
SC Geology; Agriculture; Water Resources
UT WOS:001317919300001
ER

PT J
AU Li, DC
   Ren, JJ
AF Li, Dongchen
   Ren, Junjie
TI EASRAPP: An Open-Source Semiautomatic Python GUI-Based Application for
   Extraction and Analysis of Surface Ruptures in a Large Earthquake
SO SEISMOLOGICAL RESEARCH LETTERS
DT Article
ID WENCHUAN EARTHQUAKE; STRUCTURAL-ANALYSIS; CHELUNGPU FAULT; DEFORMATION;
   TAIWAN; ZONE
AB Earthquake surface ruptures record the kinematics of the rupture behavior and rheol-ogy of the fault zone. General methods of acquiring coseismic surface ruptures, includ-ing the field geological survey and the visual interpretation of remote sensing images, are generally time consuming and challenging to obtain detailed features of surface ruptures. Here, we developed an open-source semiautomatic Python graphical user interface-based application named EASRAPP (An Application for Extraction and Analysis of Surface Ruptures). EASRAPP is a graphical Python application that provides an interactive, user-friendly framework for semiautomatically extracting and analyzing earthquake surface ruptures and associated quantitative parameters. It consists of four main modules for obtaining the region of interest for surface ruptures in a remote sens-ing image, extracting surface ruptures, editing the vector extraction results, and ana-lyzing the width of the surface rupture zone and strikes of all surface ruptures. Moreover, some additional functions are available, including data structure conversion for vector and raster data, vector merging, raster mosaicing, and batch cropping from multiple large images to many small images. EASRAPP is written in Python 3, based on several open-source Python packages such as Tkinter, SciPy, and so forth. Because of its modular design, it is convenient to modify the code and add new functionalities to a collaborative development environment. Furthermore, the output of the editing mod-ule may serve as a machine learning or deep learning training dataset, and offer con-ditions for detailed kinematic analysis and acquiring accurate width of the active fault deformation zone. EASRAPP was tested on a single unmanned aerial vehicle image to demonstrate all modules and tools. In addition, EASRAPP was also applied to other drone and satellite images to extract surface ruptures from recent and historical earth-quakes. Our results indicate that: (1) the tool can quickly extract the fine structures of surface fractures, (2) EASRAPP can be used to extract surface ruptures generated by historical events, and (3) it can be applied to high-resolution aerial and satellite images.
C1 [Li, Dongchen; Ren, Junjie] Minist Emergency Management China MEMC, Natl Inst Nat Hazards, Beijing, Peoples R China.
   [Ren, Junjie] China Earthquake Adm CEA, Key Lab Crustal Dynam, Beijing, Peoples R China.
   [Ren, Junjie] MEMC, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
C3 China Earthquake Administration
RP Ren, JJ (corresponding author), Minist Emergency Management China MEMC, Natl Inst Nat Hazards, Beijing, Peoples R China.; Ren, JJ (corresponding author), China Earthquake Adm CEA, Key Lab Crustal Dynam, Beijing, Peoples R China.; Ren, JJ (corresponding author), MEMC, Key Lab Cpd & Chained Nat Hazards Dynam, Beijing, Peoples R China.
EM junjieren@ninhm.ac.cn
TC 3
Z9 4
PU SEISMOLOGICAL SOC AMER
PI ALBANY
PA 400 EVELYN AVE, SUITE 201, ALBANY, CA 94706-1375 USA
SN 0895-0695
EI 1938-2057
PD JUL
PY 2023
VL 94
IS 4
BP 2014
EP 2029
DI 10.1785/0220220313
SC Geochemistry & Geophysics
UT WOS:001023948100001
ER

PT J
AU An, JW
   Bai, XF
   Xu, JH
   Nie, GZ
   Wang, XY
AF An, Jiwen
   Bai, Xianfu
   Xu, Jinghai
   Nie, Gaozhong
   Wang, Xiuying
TI Prediction of highway blockage caused by earthquake-induced landslides
   for improving earthquake emergency response
SO NATURAL HAZARDS
DT Article
DE Prediction; Highway blockage; Earthquake-induced landslide
   susceptibility; Earthquake emergency response; Correlation analysis;
   Decision tree
ID 2008 WENCHUAN EARTHQUAKE; HIGH-INTENSITY AREAS; SUSCEPTIBILITY
   ASSESSMENT; REGRESSION-MODELS; LUSHAN EARTHQUAKE; BUILDING DAMAGE;
   HAZARD; GIS; SCALE; RAINFALL
AB Earthquake emergency response (EER) supported by the prompt assessment of seismic impact is an effective way to reduce seismic casualties and losses after an earthquake. However, in mountainous areas, highway blockages due to earthquake-induced landslides can delay EER, which, to date, EER planning has not included in assessments to identify. This paper proposes a set of rules to predict the location of highway blockages caused by these landslides. Such predictions would promote rapid implementation of traffic control plans and the prompt clearing of the blocked highways to help keep emergency efforts efficient. We propose a procedure based on the decision tree method to correlate the potential highway blockages with the earthquake-induced landslide susceptibility (ELS), which integrates the classification and quantification aspects of the ELS. Using correlation analysis, a set of rules that judge whether a highway section is likely to be blocked is proposed. These rules are based on the preexisting ELS database for China. This set of rules has been applied in a case study of the 2014 Ludian earthquake to predict the highway blockages caused by the earthquake-induced landslides. The results from this case study showed good agreement with the actual highway blockages as determined by the interpretation of unmanned aerial vehicle images. The predicted results were used to make suggestions about traffic control and blocked highway clearing for EER. The proposed set of rules appears to be effective.
C1 [An, Jiwen; Nie, Gaozhong] China Earthquake Adm, Inst Geol, Beijing, Peoples R China.
   [Bai, Xianfu] Yunnan Earthquake Adm, Kunming, Yunnan, Peoples R China.
   [Xu, Jinghai] Nanjing Tech Univ, Coll Geomat Engn, Nanjing, Jiangsu, Peoples R China.
   [Wang, Xiuying] China Earthquake Adm, Inst Crustal Dynam, Beijing, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Nanjing Tech
   University; China Earthquake Administration
RP An, JW (corresponding author), China Earthquake Adm, Inst Geol, Beijing, Peoples R China.
EM coramap@gmail.com
TC 12
Z9 17
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 0921-030X
EI 1573-0840
PD OCT
PY 2015
VL 79
IS 1
BP 511
EP 536
DI 10.1007/s11069-015-1859-7
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000361060500028
ER

PT J
AU Hu, M
   Liu, MB
   Xie, MW
   Liu, GR
AF Hu, Man
   Liu, M. B.
   Xie, M. W.
   Liu, G. R.
TI Three-dimensional run-out analysis and prediction of flow-like
   landslides using smoothed particle hydrodynamics
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Flow-like landslides; Run-out analysis; Smoothed particle hydrodynamics;
   Hazardous area prediction; Three-dimensional simulation
ID SPH METHOD; PROPAGATION; EQUILIBRIUM; FAILURE; SLOPES; MODEL
AB Many landslides can often be characterized as a sort of landslides which move rapidly like flowing fluid and thus have a long run-out. They usually cause large damage and casualties especially when they are trigged by an earthquake or heavy rain. Numerical simulations of flow-like landslides are difficult due to the existence of free surface and large flow deformations. In this work, the smoothed particle hydrodynamics (SPH) method is applied to model two- and three-dimensional flow-like landslides for the run-out analysis. This is because SPH method is a meshfree, Lagrangian particle method, and is believed to be superior to conventional numerical methods in treating free surfaces, moving interfaces, and large deformations; hence, it is ideal in describing the complex fluidization characteristics in flow-like landslides. In this paper, a Bingham flow model and Navier-Stokes equations are incorporated into the SPH frame work, in which fluids are discretized by flow particles, and 3D terrain topography from GIS is represented by surface (or solid wall) particles. An improved SPH method is first applied to simulate the whole run-out processes of three flow-like landslides, which were triggered by Wenchuan earthquake that occurred in China in 2008. The effectiveness of the improved SPH method in modeling flow-like landslides is demonstrated by the good agreement of the 3D profile simulation results obtained from the present SPH simulation with field observation and results from other open sources. The SPH method is then used to predict the run-out area of Jinpingzi landslide.
C1 [Hu, Man; Xie, M. W.] Univ Sci & Technol Beijing, Sch Civil & Environm Engn, Beijing 100083, Peoples R China.
   [Hu, Man; Liu, G. R.] Univ Cincinnati, Dept Aerosp Engn & Engn Mech, Cincinnati, OH 45221 USA.
   [Liu, M. B.] Chinese Acad Sci, Inst Mech, LHO, Beijing 100190, Peoples R China.
C3 University of Science & Technology Beijing; University System of Ohio;
   University of Cincinnati; Chinese Academy of Sciences; Institute of
   Mechanics, CAS
RP Hu, M (corresponding author), Univ Cincinnati, Dept Aerosp Engn & Engn Mech, Cincinnati, OH 45221 USA.
EM humanyyyes@gmail.com
TC 39
Z9 48
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD FEB
PY 2015
VL 73
IS 4
BP 1629
EP 1640
DI 10.1007/s12665-014-3513-1
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000348439000019
ER

PT J
AU Saade, A
   Abou-Jaoude, G
   Wartman, J
AF Saade, Angela
   Abou-Jaoude, Grace
   Wartman, Joseph
TI Regional-scale co-seismic landslide assessment using limit equilibrium
   analysis
SO ENGINEERING GEOLOGY
DT Article
DE Regional; Co-seismic; Landslide assessment; Slip surfaces; Newmark
   sliding block; Geographic Information System
ID STABILITY CHARTS; SPATIAL-DISTRIBUTION; LOGISTIC-REGRESSION; WENCHUAN
   EARTHQUAKE; SLOPES; FAILURE; HAZARD; AREA; GIS; SUSCEPTIBILITY
AB Traditionally, regional assessment of seismic slope stability has been done using the infinite slope-rigid sliding block analysis. A major disadvantage of this approach is the resulting overestimation of the critical acceleration of the slope due to the underlying assumption of a predefined slope failure plane, and consequently the underestimation of hazard areas prone to sliding. In this paper, we present a modified approach for assessing seismic slope instabilities using a model based on limit equilibrium analysis and circular slip surfaces with no restriction to any predefined slope failure plane. For this purpose, we conduct a parametric study to identify the relationship between the critical acceleration of the slope, the slope angle, and the slope shear strength parameters. We model typical slopes in the Rocscience software SLIDE using Bishop's limit equilibrium method to identify the critical accelerations that corresponds to a failure plane with factor of safety equal to one. The critical accelerations were plotted against the variables in the parametric study and the best fit equations were obtained. The proposed approach was developed for global application but it was tested using the well-documented co-seismic landslide database of the 1994 Northridge, CA earthquake. The predicted sliding areas were compared to the inventory of landslides that were triggered in the Val Verde region in Los Angeles by the earthquake. Qualitative and quantitative assessments of the proposed model clearly show its advantages in predicting potential sliding areas. (C) 2016 Elsevier B.V. All rights reserved.
C1 [Saade, Angela; Abou-Jaoude, Grace] Lebanese Amer Univ, Dept Civil Engn, Lebanon, NH USA.
   [Wartman, Joseph] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA.
C3 Lebanese American University; University of Washington; University of
   Washington Seattle
RP Abou-Jaoude, G (corresponding author), Lebanese Amer Univ, Dept Civil Engn, Lebanon, NH USA.
EM grace.aboujaoude@lau.edu.lb
TC 52
Z9 56
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD APR 8
PY 2016
VL 204
BP 53
EP 64
DI 10.1016/j.enggeo.2016.02.004
SC Engineering; Geology
UT WOS:000373540400006
ER

PT J
AU Jaimes, MAA
   Quintero, DCR
   Contreras, JDO
   Rios, DFB
   Camacho, MAT
AF Jaimes, Miguel Angel Alvarez
   Quintero, Daniel Camilo Roman
   Contreras, Jose David Ortiz
   Rios, Diego Fernando Bedoya
   Camacho, Mauricio Alberto Tapias
TI Implications of landslide runout modeling for vulnerability assessment:
   Benchmarking from a case study in the andean region
SO INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
DT Article
DE Debris-flow simulation; Infrastructure exposure; Analytic Hierarchy
   process; Empirical modeling; Multidimensional modeling; Model
   performance evaluation
ID WENCHUAN EARTHQUAKE; DEBRIS; FLOWS; PREDICTION; DEPOSITS; TOOLS
AB The vulnerability to landslides depends on both the susceptibility of the exposed elements and the intensity of the landslide, which is commonly characterized by its motion mechanism. This study proposes a quantitative evaluation framework to assess the implications of using different models for predicting the landslide runout distance (LRD) on vulnerability, estimated through two distinct vulnerability functions. The analysis focuses on a debris flow that impacted a major highway in the Colombian Andes. The event, with a triggered volume of 340 m3, a runout of 84 m, and a vertical drop of 42 m, serves as a benchmark for evaluating model performance. The findings provide insights into the influence of material type, flow regime, and model uncertainty on LRD and vulnerability estimates. Empirical methods enabled rapid assessments but exhibited high variability (LRD errors up to 120 %). Analytical models, particularly the sliding block model, offered a balance between simplicity and physical realism, overestimating LRD by 14 % without calibration while also providing velocity estimates. Multidimensional (2D/3D) models, though resource-intensive, best reproduced the observed behavior; the 3D model closely matched the measured runout when calibrated with high-friction parameters and GIS-derived inputs. A benchmarking analysis using the Analytic Hierarchy Process (AHP) identified the sliding block model as the most effective overall, combining accuracy, functionality, and usability. These results highlight that model selection should align with the intended application: empirical models for rapid screening, analytical models for design purposes, and multidimensional models for detailed vulnerability assessments.
C1 [Jaimes, Miguel Angel Alvarez] Univ Ind Santander, Escuela Ingn Civil, Cl 9 27, Bucaramanga 680006, Colombia.
   [Quintero, Daniel Camilo Roman; Contreras, Jose David Ortiz; Camacho, Mauricio Alberto Tapias] Univ Nacl Colombia, Dept Ingn Civil & Agr, Carrera 30 Calle 45-03, Bogota 111321, Colombia.
   [Quintero, Daniel Camilo Roman] Delft Univ Technol, Dept Water Management, Bldg 23 Stevinweg 1, NL-2628 CN Delft, Netherlands.
   [Rios, Diego Fernando Bedoya] Fdn Univ Agr Colombia, Escuela Ingn Civil, Calle 170 54a, Bogota 110911, Colombia.
C3 Universidad Industrial de Santander; Universidad Nacional de Colombia;
   Delft University of Technology; Fundacion Universitaria Agraria de
   Colombia
RP Quintero, DCR (corresponding author), Univ Nacl Colombia, Dept Ingn Civil & Agr, Carrera 30 Calle 45-03, Bogota 111321, Colombia.
EM dromanquintero@tudelft.nl
TC 0
Z9 0
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 2212-4209
PD DEC
PY 2025
VL 131
AR 105920
DI 10.1016/j.ijdrr.2025.105920
EA NOV 2025
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:001626846300001
ER

PT J
AU Shao, XY
   Ma, SY
   Xu, C
   Zhang, PF
   Wen, BY
   Tian, YY
   Zhou, Q
   Cui, YL
AF Shao, Xiaoyi
   Ma, Siyuan
   Xu, Chong
   Zhang, Pengfei
   Wen, Boyu
   Tian, Yingying
   Zhou, Qing
   Cui, Yulong
TI Planet Image-Based Inventorying and Machine Learning-Based
   Susceptibility Mapping for the Landslides Triggered by the 2018 Mw6.6
   Tomakomai, Japan Earthquake
SO REMOTE SENSING
DT Article
DE Tomakomai earthquake; co-seismic landslides; landslide susceptibility
   mapping (LSM); LR model; SVM model
ID SUPPORT VECTOR MACHINE; ANALYTICAL HIERARCHY PROCESS; 2008 WENCHUAN
   EARTHQUAKE; LOGISTIC-REGRESSION; 3 GORGES; SPATIAL-DISTRIBUTION; GIS;
   MODELS; AREA; PREDICTION
AB The 5 September 2018 (UTC time) Mw6.6 earthquake of Tomakomai, Japan has triggered about 10,000 landslides with high density, causing widespread concern. We attempted to establish a detailed inventory of this slope failure and use proper methods to assess landslide susceptibility in the entire affected area. To this end we applied the logistic regression (LR) and the support vector machine (SVM) for this study. Based on high-resolution (3 m) optical satellite images (planet image) before and after the earthquake, we delineated 9295 individual landslides triggered by the earthquake, occupying an area of 30.96 km(2). Ten controlling factors were selected for susceptibility analysis, including elevation, slope angle, aspect, curvature, distances to faults, distances to the epicenter, Peak ground acceleration (PGA), distance to rivers, distances to roads and lithology. Using the LR and SVM, two landslide susceptibility maps were produced for the study area. The results show that in the LR model, the success rate is 84.7% between the landslide susceptibility map and the training dataset, and the prediction rate is 83.9% shown by comparing the test dataset and the landslide susceptibility map. In the SVM model, a success rate of 90.9% exists between the susceptibility map and the test samples, and a prediction rate of 87.1% from comparison of the test dataset and the landslides susceptibility map. In comparison, the performance of the SVM is slightly better than the LR model.
C1 [Shao, Xiaoyi; Ma, Siyuan; Xu, Chong; Zhang, Pengfei; Wen, Boyu; Tian, Yingying; Zhou, Qing] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Wen, Boyu] China Univ Geosci Beijing, Sch Engn & Technol, Beijing 100083, Peoples R China.
   [Cui, Yulong] Anhui Univ Sci & Technol, Sch Civil & Architectural Engn, Huainan 232001, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   University of Geosciences; Anhui University of Science & Technology
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM shaoxiaoyi@ies.ac.cn; masiyuan@ies.ac.cn; xuchong@ies.ac.cn;
   zhangpengfei18@mails.ucas.ac.cn; 2102180051@cugb.edu.cn;
   tianyingying@ies.ac.cn; zhouqing@ies.ac.cn; ylcui@aust.edu.cn
TC 72
Z9 83
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD APR 2
PY 2019
VL 11
IS 8
AR 978
DI 10.3390/rs11080978
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000467646800088
ER

PT J
AU Lei, XH
   Zhang, SJ
   Yang, HJ
   Wei, FQ
AF Lei, Xiaohu
   Zhang, Shaojie
   Yang, Hongjuan
   Wei, Fangqiang
TI A sediment influx-outflux-accommodation composite index-based method for
   estimating sediment storage in debris flow channels
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Debris flow deposit materials; Sediment influx-outflux-accommodation
   index; Sediment materials distribution along channels; Deposit materials
   estimation model; Channel bed deposits; Debris flow provenance materials
ID BED-LOAD TRANSPORT; WENCHUAN EARTHQUAKE; INITIATION; MAGNITUDE; RUNOFF;
   CONNECTIVITY; LANDSCAPE; EQUATIONS; RAINFALL; SIZE
AB The distribution of the sediment material storage quantity along the debris flow channels (SMSQ_DFC) can provide a foundation for runoff-generated debris flow prediction or susceptibility assessment. Current models for estimating SMSQ_DFC do not consider the capacity of the channel cross-section to accommodate sediment materials. This accommodation condition serves as a limiting factor in determining whether the expected surplus of sediment materials can ultimately be stored. To address this issue, a mass-conservative index was used to represent the balance of deposit materials at any cross-section, considering the influx from upstream, outflux to downstream, and accommodation capacity. Based on this index, a new model for estimating SMSQ_DFC was developed and subsequently evaluated. The evaluation results show that the model meets the accuracy requirements with average error rates of 14.06% for self-validation and 14.81% for generalization ability validation. To assess its practical applications, the model was applied to the Yeniu Gully in Wenchuan County, Sichuan Province, an area with detailed field survey data. The results show that the model exhibits a commendable performance. Compared to traditional theoretical and semi-theoretical statistical models, our model is easier to use (input parameters can be obtained using Geographic Information Systems (GIS)). The modeling parameters chosen in this study have more theoretical significance than those used in existing purely statistical models, offering more effective technical support for estimating SMSQ_DFC.
C1 [Lei, Xiaohu] Chongqing Jiaotong Univ, Sch River & Ocean Engn, Chongqing 400074, Peoples R China.
   [Lei, Xiaohu; Zhang, Shaojie; Yang, Hongjuan] Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.
   [Lei, Xiaohu; Wei, Fangqiang] Chinese Acad Sci, Univ Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Sch, Chongqing 400714, Peoples R China.
C3 Chongqing Jiaotong University; Chinese Academy of Sciences; Institute of
   Mountain Hazards & Environment, CAS; Chinese Academy of Sciences;
   Chongqing Institute of Green & Intelligent Technology, CAS; University
   of Chinese Academy of Sciences, CAS
RP Zhang, SJ (corresponding author), Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China.; Wei, FQ (corresponding author), Chinese Acad Sci, Univ Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Sch, Chongqing 400714, Peoples R China.
EM leixiaohu@cigit.ac.cn; sj-zhang@imde.ac.cn; yanghj@imde.ac.cn;
   fqwei@cigit.ac.cn
TC 1
Z9 1
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2025
VL 22
IS 6
BP 1889
EP 1911
DI 10.1007/s11629-024-9286-4
SC Environmental Sciences & Ecology
UT WOS:001509181800014
ER

PT J
AU Fan, XY
   Liu, B
   Luo, J
   Pan, K
   Han, SY
   Zhou, ZL
AF Fan, Xinyue
   Liu, Bin
   Luo, Jie
   Pan, Ke
   Han, Suyue
   Zhou, Zhongli
TI Comparison of earthquake-induced shallow landslide susceptibility
   assessment based on two-category LR and KDE-MLR
SO SCIENTIFIC REPORTS
DT Article
ID LOGISTIC-REGRESSION; FREQUENCY RATIO; GIS; INDEX; AREA; ENTROPY; PART
AB Geological hazards caused by strong earthquakes have caused continuous social and economic losses and destruction of the ecological environment in the hazard area, and are mostly manifested in the areas with frequent occurrence of geological hazards or the clustering of geological hazards. Considering the long-term nature of earthquakes and geological disasters in this region, this paper takes ten earthquake-stricken areas in Wenchuan earthquake zone as examples to collect shallow landslide data in 2010, combined with the spatial location of landslides and other factors. Kernel density estimation (KDE) method is used to analyze the spatial characteristics of shallow landslide. Taking the space of shallow landslide as the characteristic variable and fully considering the regulating factors of earthquake-induced landslide: terrain complexity, distance to river, distance to fault, distance to road, lithology, normalized vegetation difference index (NDVI) and ground peak acceleration (PGA) as independent variables, based on KDE and polynomial logistic regression (MLR), A quantitative model of shallow landslide in the earthquake area is constructed. The results show that: (1) PGA has the greatest impact on landslide in the study area. (2) Compared with the two-category logistic regression (two-category LR) model, the susceptibility map of landslide prediction results based on the KDE-MLR landslide susceptibility prediction model is more consistent with the actual situation. (3) The prediction accuracy of the model validation set is 70.7%, indicating that the landslide susceptibility prediction model based on KDE-MLR can effectively highlight the spatial characteristics of shallow landslides in 10 extreme disaster areas. The research results can provide decision-making basis for shallow landslide warning and post-disaster reconstruction in earthquake-stricken areas.
C1 [Fan, Xinyue; Liu, Bin; Luo, Jie; Han, Suyue; Zhou, Zhongli] Geomath Key Lab Sichuan Prov, Chengdu 610059, Peoples R China.
   [Liu, Bin; Luo, Jie; Pan, Ke; Zhou, Zhongli] Chengdu Univ Technol, Coll Math & Phys, Chengdu 610059, Peoples R China.
   [Fan, Xinyue; Han, Suyue; Zhou, Zhongli] Chengdu Univ Technol, Coll Management Sci, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology
RP Liu, B (corresponding author), Geomath Key Lab Sichuan Prov, Chengdu 610059, Peoples R China.; Liu, B (corresponding author), Chengdu Univ Technol, Coll Math & Phys, Chengdu 610059, Peoples R China.
EM liubincim@163.com
TC 23
Z9 24
PU NATURE PORTFOLIO
PI BERLIN
PA HEIDELBERGER PLATZ 3, BERLIN, 14197, GERMANY
SN 2045-2322
PD JAN 16
PY 2023
VL 13
IS 1
AR 833
DI 10.1038/s41598-023-28096-z
SC Science & Technology - Other Topics
UT WOS:001145404400028
ER

PT J
AU Di, BF
   Zeng, HJ
   Zhang, MH
   Ustin, SL
   Tang, Y
   Wang, ZY
   Chen, NS
   Zhang, B
AF Di, Baofeng
   Zeng, Hongjuan
   Zhang, Minghua
   Ustin, Susan L.
   Tang, Ya
   Wang, Zhaoyin
   Chen, Ningsheng
   Zhang, Bin
TI Quantifying the spatial distribution of soil mass wasting processes
   after the 2008 earthquake in Wenchuan, China A case study of the
   Longmenshan area
SO REMOTE SENSING OF ENVIRONMENT
DT Article
DE Wenchuan Earthquake; Longmenshan scenic area (LMSS); Mass wasting of
   soil; Landslides; RS; GIS
ID VEGETATION RECOVERY; EROSION; LANDSLIDES; GIS; IMPACT
AB The beautiful Longmenshan area is one of the main tourist attractions in Sichuan Province, China. The epicenter of a catastrophic earthquake measured at 8.0 Ms (China Seismological Bureau), occurred within this area at Wenchuan (31 degrees 01'16"N, 103 degrees 22'01"E) at 14:28 May 12, 2008 (Beijing time). The earthquake triggered numerous types of landslide transport and hazards, including soil and debris avalanches, rockfalls, slumps, debris flows, creation of barrier lakes and slope fattenings. This paper examines the landslide hazards in the Longmenshan area caused by the earthquake using remotely sensed images, mainly Beijing-1 Microsatellite data before and after the earthquake, compared to digital elevation maps and slope gradient maps, land use and vegetation cover maps. Areas of erosion and loss of vegetation were compared from pre- and post-earthquake data, from which were calculated changes in vegetated areas, bare slopes, and mass movement during the earthquake. These events occurred over altitudes from 1000 to 4000 m and on slope angles between 25 and 55 degrees. The results show that the total area of erosion and land movement due to the earthquake increased by 86.3 km(2) (19.2% of the study area). Compared with pre-earthquake, the areas of very low intensity soil erosion and moderate intensity soil erosion were respectively reduced by 3.6 km(2), 24.3 km(2) and 30.9 km(2). On the other hand, the areas of severe and very severe intensity soil erosion were substantially increased by 45.8 km(2) and 99.2 km(2). In the post-earthquake stage, the bare areas (vegetation cover <15%) have increased by 65.8 km(2). Without vegetation, the denuded earthquake damaged slopes and other high risk sites have become severe erosion problems. Thus, it is essential to continue long-term monitoring of mass wasting in the denuded areas and evaluate potential risk sites for future landslides and debris flows. We anticipate that these results will be helpful in decision making and policy planning for recovery and reconstruction in the earthquake-affected area. (C) 2009 Elsevier Inc. All rights reserved.
C1 [Di, Baofeng; Tang, Ya] Sichuan Univ, Dept Architecture & Environm, Chengdu 610065, Peoples R China.
   [Zeng, Hongjuan] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China.
   [Di, Baofeng; Zhang, Minghua; Ustin, Susan L.] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA.
   [Wang, Zhaoyin] Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China.
   [Chen, Ningsheng] Chinese Acad Sci, Chengdu Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
   [Zhang, Bin] China W Normal Univ, Land & Resources Coll, Nanchong 637002, Peoples R China.
C3 Sichuan University; Beijing Normal University; University of California
   System; University of California Davis; Tsinghua University; Chinese
   Academy of Sciences; Institute of Mountain Hazards & Environment, CAS;
   China West Normal University
RP Di, BF (corresponding author), Sichuan Univ, Dept Architecture & Environm, Chengdu 610065, Peoples R China.
EM diwubf@gmail.com
TC 39
Z9 53
PU ELSEVIER SCIENCE INC
PI NEW YORK
PA STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
SN 0034-4257
EI 1879-0704
PD APR 15
PY 2010
VL 114
IS 4
BP 761
EP 771
DI 10.1016/j.rse.2009.11.011
SC Environmental Sciences & Ecology; Remote Sensing; Imaging Science &
   Photographic Technology
UT WOS:000274982700006
ER

PT J
AU Bian, ZP
   Zhang, DD
   Xu, J
   Tang, HT
   Bai, ZL
   Li, Y
AF Bian, Zongpan
   Zhang, Dongdong
   Xu, Jun
   Tang, Hongtao
   Bai, Zhuoli
   Li, Yan
TI Study on the Evolution Law of Surface Landscape Pattern in
   Earthquake-Stricken Areas by Remote Sensing: A Case Study of Jiuzhaigou
   County, Sichuan Province
SO SUSTAINABILITY
DT Article
DE earthquake-stricken areas; Jiuzhaigou; land cover; spatial-temporal
   evolution; landscape ecological index
ID LAND-USE CHANGE; WENCHUAN EARTHQUAKE; VEGETATION; OPPORTUNITIES;
   REGIONS; CHINA
AB Earthquakes not only cause the destruction of surface buildings and a large number of casualties, but also have an important impact on regional land-use change. Timely understanding of land cover and its changes before and after earthquakes is of great scientific significance for studying the restoration and reconstruction of the natural ecosystem and the sustainable development of the social economy in disaster areas. At present, there are few studies on land cover changes before and after earthquakes in the earthquake-stricken areas, especially the quantitative assessment of land cover changes before and after earthquakes at the micro scale of landscape spatial distribution. Therefore, this article is based on remote sensing data and uses an earthquake in Jiuzhaigou, Sichuan, as an example. By calculating the land-use degree comprehensive index and its rate of change, the transfer matrix of land-use, quantitative expression methods of the landscape via the landscape pattern index are analyzed from the points of view of the spatial-temporal evolution law of the landscape pattern of land cover before and after the earthquake. The experimental results showed that the area of forest, cropland, shrub. and grassland types in the study area changed greatly, and the area of grassland types in Shuanghe Township changed most obviously, as they increased from 6.57 km(2) in 2015 to 7.43 km(2), and then decreased to 6.21 km(2) in 2020. During the earthquake recovery period, the comprehensive index of land-use degree for most towns in the study area showed an upward trend, and the land cover types were improved. After 2017, the PD and LSI of the study area showed a downward trend, among which the bare land type changed greatly, with the PD value decreasing from 0.38 in 2017 to 0.21 in 2020, and the LSI value decreasing from 58.29 in 2017 to 40.69 in 2020. This indicates that the degree of landscape fragmentation and the spatial heterogeneity of the land surface in the study area are reduced in the later stage of earthquake recovery. After 2017, the AI value of the study area showed an upward trend, and the AI value of the bare land type increased from 63.97 in 2017 to 78.25 in 2020, indicating that the connectivity between landscape patches in the study area was enhanced in the later stage of the earthquake. This also reflects that the ecological environment of the study area gradually showed a good trend in the later stage of the earthquake. The results of this paper not only reveal the spatial-temporal evolution of land cover in Jiuzhaigou County before and after the earthquake, but also help the relevant national decision-making departments to formulate corresponding policies and measures.
C1 [Bian, Zongpan; Tang, Hongtao; Bai, Zhuoli; Li, Yan] China Earthquake Adm, Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China.
   [Zhang, Dongdong; Xu, Jun] China State Construct Railway Investment & Engn G, Beijing 102601, Peoples R China.
C3 China Earthquake Administration; The Second Monitoring & Application
   Center, CEA
RP Zhang, DD (corresponding author), China State Construct Railway Investment & Engn G, Beijing 102601, Peoples R China.
EM feicuizdd@163.com
TC 4
Z9 5
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2071-1050
PD OCT
PY 2022
VL 14
IS 20
AR 13032
DI 10.3390/su142013032
SC Science & Technology - Other Topics; Environmental Sciences & Ecology
UT WOS:000873539700001
ER

PT J
AU Zhao, XH
   Fu, XD
   Wu, K
   Zhang, ZP
   Xi, T
   Kang, JY
   Sheng, Q
AF Zhao, Xuehan
   Fu, Xiaodong
   Wu, Kai
   Zhang, Zhenping
   Xi, Tian
   Kang, Jingyu
   Sheng, Qian
TI Multi-stage instability mechanisms and risk analysis of accumulation
   landslides under sequential earthquake-rainfall actions: a case study
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Slope stability; Strong earthquake; Post-seismic rainfall; Finite volume
   method; Limit equilibrium method
ID WENCHUAN EARTHQUAKE; DYNAMIC-RESPONSE
AB Strong seismic events can induce co-seismic slope instability, and the subsequent rainfall can further aggravate the damage within accumulation landslides, posing compounded hazards. Understanding the multi-stage failure mechanisms and assessing the associated risks under sequential earthquake-rainfall conditions are vital for disaster prevention in seismic regions. This study focuses on the K3-H05 landslide along the Hailuogou Scenic Road, triggered by the 2022 Luding Earthquake. A simplified pre- and post-event landslide model was constructed based on UAV imagery, and the dynamic damage to the slope induced by seismic shaking was analyzed through the Limit Equilibrium Method (LEM) and the Newmark permanent displacement analysis. Coupled stress-seepage simulations, incorporating regional rainfall data, were employed to evaluate slope stability under post-seismic precipitation conditions. Moreover, the secondary instability process was simulated using the Finite Volume Method (FVM) incorporating \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mu \left( I \right)$$\end{document} rheological constitutive model. The results indicate that seismic acceleration is amplified significantly at slope crests and the interface between loose accumulation layer and bedrock, with permanent displacement corresponding to "super high" risk level, consistent with field observations. The post-earthquake degradation of the soil structure, combined with sustained rainfall, reduced the slope safety factor below unity, substantially elevating the likelihood of secondary failure. The landslide subsequently destroyed portions of the scenic road and deposited substantial material at the slope toe. Based on the findings, post-disaster reconstruction strategies such as elevated bridges and piled slab walls are proposed to mitigate future risks. This research provides technical references for slope risk prevention and control in high-intensity seismic zones.
C1 [Zhao, Xuehan; Fu, Xiaodong; Xi, Tian; Kang, Jingyu; Sheng, Qian] Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn Safety, Wuhan 430071, Hubei, Peoples R China.
   [Zhao, Xuehan; Fu, Xiaodong; Xi, Tian; Kang, Jingyu; Sheng, Qian] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Wu, Kai] Sichuan Highway Planning Survey Design & Res Inst, Chengdu 610041, Sichuan, Peoples R China.
   [Zhang, Zhenping] Shenyang Univ Technol, Sch Architecture & Civil Engn, Shenyang 110870, Liaoning, Peoples R China.
C3 Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Shenyang University of Technology
RP Fu, XD (corresponding author), Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn Safety, Wuhan 430071, Hubei, Peoples R China.; Fu, XD (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
EM xdfu@whrsm.ac.cn
TC 0
Z9 0
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD NOV
PY 2025
VL 84
IS 23
AR 699
DI 10.1007/s12665-025-12688-1
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:001626730700002
ER

PT J
AU Han, LF
   Liu-Zeng, J
   Yao, WQ
   Wang, WX
   Shao, YX
   Liu, XL
   Zeng, XY
   Gao, YP
   Tu, HW
AF Han, Longfei
   Liu-Zeng, Jing
   Yao, Wenqian
   Wang, Wenxin
   Shao, Yanxiu
   Liu, Xiaoli
   Zeng, Xianyang
   Gao, Yunpeng
   Tu, Hongwei
TI Discontinuous Surface Ruptures and Slip Distributions in the Epicentral
   Region of the 2021 Mw7.4 Maduo Earthquake, China
SO REMOTE SENSING
DT Article
DE geometrical complexity; detailed surface rupture mapping; coseismic slip
   variation; off-fault deformation; epicentral region
ID 7.9 WENCHUAN EARTHQUAKE; STRUCTURE-FROM-MOTION; 1992 LANDERS EARTHQUAKE;
   6.9 YUTIAN EARTHQUAKE; ALTYN TAGH FAULT; YUSHU EARTHQUAKE; COSEISMIC
   DEFORMATION; XIANSHUIHE FAULT; SURFICIAL SLIP; HAIYUAN FAULT
AB Geometric complexities play an important role in the nucleation, propagation, and termination of strike-slip earthquake ruptures. The 2021 Mw7.4 Maduo earthquake rupture initiated at a large releasing stepover with a complex fault intersection. In the epicentral region, we conducted detailed mapping and classification of the surface ruptures and slip measurements associated with the earthquake, combining high-resolution uncrewed aerial vehicle (UAV) images and optical image correlation with field investigations. Our findings indicate that the coseismic ruptures present discontinuous patterns mixed with numerous lateral spreadings due to strong ground shaking. The discontinuous surface ruptures are uncharacteristic in slip to account for the large and clear displacements of offset landforms in the epicentral region. Within the releasing stepovers, the deformation zone revealed from the optical image correlation map indicates that a fault may cut diagonally across the pull-apart basin at depth. The left-lateral horizontal coseismic displacements from field measurements are typically <= 0.6 m, significantly lower than the 1-2.7 m measured from the optical image correlation map. Such a discrepancy indicates a significant proportion of off-fault deformation or the possibility that the rupture stopped at a shallow depth during its initiation phase instead of extending to the surface. The fault network and multi-fault junctions west and south of the epicenter suggest a possible complex path, which retarded the westward propagation at the initial phase of rupture growth. A hampered initiation might enhance the seismic ground motion and the complex ground deformation features at the surface, including widespread shaking-related fissures.
C1 [Han, Longfei; Liu-Zeng, Jing; Yao, Wenqian; Wang, Wenxin; Shao, Yanxiu; Gao, Yunpeng] Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China.
   [Liu-Zeng, Jing; Zeng, Xianyang] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
   [Liu, Xiaoli] China Earthquake Adm, Inst Seismol, Key Lab Earthquake Geodesy, Wuhan 430071, Peoples R China.
   [Tu, Hongwei] Earthquake Agcy Qinghai Prov, Xining 810001, Peoples R China.
C3 Tianjin University; China Earthquake Administration; Institute of
   Geology, CEA; China Earthquake Administration; China Earthquake
   Administration; Qinghai Earthquake Agency, CEA
RP Liu-Zeng, J (corresponding author), Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China.; Liu-Zeng, J (corresponding author), China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
EM hanlongfei_2019@tju.edu.cn; liu_zeng@tju.edu.cn; tuhongwei33@sian.com
TC 2
Z9 2
PU MDPI
PI BASEL
PA ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD APR
PY 2024
VL 16
IS 7
AR 1250
DI 10.3390/rs16071250
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:001201664900001
ER

PT J
AU Wang, HJ
   Zhou, Y
   Wang, SX
   Wang, FT
AF Wang, Hongjie
   Zhou, Yi
   Wang, Shixin
   Wang, Futao
TI Coupled model constructed to simulate the landslide dam flood discharge:
   a case study of Baige landslide dam, Jinsha River
SO FRONTIERS OF EARTH SCIENCE
DT Article
DE landslide dam; scenario simulation; flood discharge
ID WENCHUAN EARTHQUAKE; INTERNAL STRUCTURE; STABILITY; RAINFALL; FAILURE;
   EROSION; AREAS; WATER; GIS
AB Landslide dam, always triggered by the strong earthquake and heavy rain, is a common natural disaster around the world. In this study, a coupled model was built by combining DB-IWHR model and the two-dimensional hydrodynamic model to simulate the landslide dam flood discharge. We mapped the maximum Baige landslide dam flood inundated area based on Gaofen-1 imagery, and then simulated the process of Baige landslide dam flood discharge using this coupled model. It was proved that, with 80.05% F values, the coupled model was suitable to simulate the process of landslide dam flood discharge. Lastly, multiple scenarios were simulated respectively by setting varying width and depth of spillway. The results of scenarios 1-4 indicated that spillway width presented low sensibility to the peak flow in spillway and the time of its arrival, and similarly to the water depth at river cross-section and the inundated area. Water depth at river cross-section and the inundated area decreased as spillway width increased. Even if spillway width varied at 10 m interval, the average variation of water depth was less than 1.82 m and the variation of inundated area was less than 2.85%. However, the results of scenarios 5-8 indicated that spillway depth was sensitive to the peak flow in spillway and its arrival time, and also to water depth at river cross-section and the inundated area. Water depth at river cross-section and the inundated area increased first and then started to drop with spillway depth kept decreasing. When spillway depth varied at only 2 m interval, the average variation of water depth at river cross-section basically exceeded 2 m and the variation of inundated area was more than 2.85%.
C1 [Wang, Hongjie; Zhou, Yi; Wang, Shixin; Wang, Futao] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China.
   [Wang, Hongjie] Univ Chinese Acad Sci, Beijing 100101, Peoples R China.
   [Wang, Hongjie; Zhou, Yi; Wang, Shixin; Wang, Futao] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
C3 Chinese Academy of Sciences; Aerospace Information Research Institute,
   CAS; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Chinese Academy of Sciences; The Institute of Remote
   Sensing & Digital Earth, CAS
RP Zhou, Y; Wang, FT (corresponding author), Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China.; Zhou, Y; Wang, FT (corresponding author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China.
EM zhouyi@radi.ac.cn; wangft@aircas.ac.cn
TC 7
Z9 10
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 2095-0195
EI 2095-0209
PD MAR
PY 2020
VL 14
IS 1
BP 63
EP 76
DI 10.1007/s11707-019-0805-5
EA FEB 2020
SC Geology
UT WOS:000516964800001
ER

PT J
AU Kritikos, T
   Robinson, TR
   Davies, TRH
AF Kritikos, Theodosios
   Robinson, Tom R.
   Davies, Tim R. H.
TI Regional coseismic landslide hazard assessment without historical
   landslide inventories: A new approach
SO JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
DT Article
DE coseismic landslides; fuzzy logic; hazard; GIS; ground shaking
   intensity; topography
ID 2008 WENCHUAN EARTHQUAKE; CHI-CHI EARTHQUAKE; INDUCED SLIDING
   DISPLACEMENTS; TIME-PROBABILISTIC EVALUATION; COMPREHENSIVE AREAL MODEL;
   SLOPE INSTABILITY; 1994 NORTHRIDGE; GROUND MOTION; ALPINE FAULT;
   SURFACE-TOPOGRAPHY
AB Currently, regional coseismic landslide hazard analyses require comprehensive historical landslide inventories as well as detailed geotechnical data. Consequently, such analyses have not been possible where these data are not available. A new approach is proposed herein to assess coseismic landslide hazard at regional scale for specific earthquake scenarios in areas without historical landslide inventories. The proposed model employs fuzzy logic and geographic information systems to establish relationships between causative factors and coseismic slope failures in regions with well-documented and substantially complete coseismic landslide inventories. These relationships are then utilized to estimate the relative probability of landslide occurrence in regions with neither historical landslide inventories nor detailed geotechnical data. Statistical analyses of inventories from the 1994 Northridge and 2008 Wenchuan earthquakes reveal that shaking intensity, topography, and distance from active faults and streams are the main controls on the spatial distribution of coseismic landslides. Average fuzzy memberships for each factor are developed and aggregated to model the relative coseismic landslide hazard for both earthquakes. The predictive capabilities of the models are assessed and show good-to-excellent model performance for both events. These memberships are then applied to the 1999 Chi-Chi earthquake, using only a digital elevation model, active fault map, and isoseismal data, replicating prediction of a future event in a region lacking historic inventories and/or geotechnical data. This similarly results in excellent model performance, demonstrating the model's predictive potential and confirming it can be meaningfully applied in regions where previous methods could not. For such regions, this method may enable a greater ability to analyze coseismic landslide hazard from specific earthquake scenarios, allowing for mitigation measures and emergency response plans to be better informed of earthquake-related hazards.
C1 [Kritikos, Theodosios; Robinson, Tom R.; Davies, Tim R. H.] Univ Canterbury, Dept Geol Sci, Christchurch 1, New Zealand.
C3 University of Canterbury
RP Kritikos, T (corresponding author), Univ Canterbury, Dept Geol Sci, Christchurch 1, New Zealand.
EM theo.kritikos@gmail.com
TC 114
Z9 122
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9003
EI 2169-9011
PD APR
PY 2015
VL 120
IS 4
BP 711
EP 729
DI 10.1002/2014JF003224
SC Geology
UT WOS:000354385200004
ER

PT J
AU Ma, SY
   Xu, C
AF Ma, Siyuan
   Xu, Chong
TI Assessment of co-seismic landslide hazard using the Newmark model and
   statistical analyses: a case study of the 2013 Lushan, China, Mw6.6
   earthquake
SO NATURAL HAZARDS
DT Article
DE Lushan earthquake; Co-seismic landslides; Hazard; Newmark model;
   Statistical analysis
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; ANALYTICAL HIERARCHY
   PROCESS; SPATIAL PREDICTION MODELS; LOGISTIC-REGRESSION MODEL;
   SUSCEPTIBILITY ASSESSMENT; DECISION TREE; GIS; MULTIVARIATE; VALIDATION
AB The April 20, 2013 Mw6.6 earthquake of Lushan County, Sichuan Province, China, has triggered 4540 landslides (>1000m(2)). Exploring a more effective method to assess landslide hazard in the affected area of this event is of great significance for disaster prevention and mitigation. By applying the Newmark model and two statistical analysis models (logic regression and support vector machine, LR and SVM), this study addressed this issue. In the Newmark model, we used the landslide point density, the average gradient (mean slope) and the mean peak ground acceleration to group the lithology and created a critical acceleration (a(c)) map. The Newmark displacements and the probability of the slope instability are mapped by combining the a(c) map and PGA map. In the statistical analysis models of LR and SVM, 7040 samples (4540 landslide sites and 2500 random non-landslide sites) were randomly divided into the training set (5000 samples) and validation set (2040 samples). Based on the relationship between landslide distribution and influence factors, we selected the critical acceleration (a(c)) value, topographic relief, PGA, and distance to rivers as the independent variables for LR and SVM. Finally, the ROC curves for three landslide hazard models were drawn and the AUC values were calculated. The landslide hazard maps produced by LR are similar to those by applying SVM. The AUC values indicate that these two models combined with a(c) data perform better than the simplified Newmark model. In this study, a new method of integrating statistical analysis models (LR and SVM) with critical acceleration (a(c)) for earthquake landslide hazard assessment is presented, which can be used to carry out seismic landslide hazard assessment more effectively than the simplified Newmark model.
C1 [Ma, Siyuan; Xu, Chong] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
EM xuchong@ies.ac.cn
TC 76
Z9 86
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 0921-030X
EI 1573-0840
PD MAR
PY 2019
VL 96
IS 1
BP 389
EP 412
DI 10.1007/s11069-018-3548-9
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000465506900018
ER

PT J
AU Chen, HS
   Wang, XK
   Lei, S
   Wang, XX
   Yan, XF
AF Chen, Hao-Shuang
   Wang, Xie-Kang
   Lei, Sheng
   Wang, Xiao-Xiao
   Yan, Xu-Feng
TI Soil erosion characteristics in an earthquake-impacted mountainous basin
   based on RUSLE model: implications for geohazards
SO JOURNAL OF SOILS AND SEDIMENTS
DT Article
DE Soil erosion; Geohazard; RUSLE model; Mountainous basin
ID GEOGRAPHICALLY WEIGHTED REGRESSION; TOPOGRAPHIC WETNESS INDEX;
   VEGETATION RECOVERY; WENCHUAN EARTHQUAKE; COVER CHANGE; RAINFALL; GIS
AB PurposeIn this study, the revised universal soil loss equation (RUSLE) model was used to assess soil hydraulic erosion processes in the Baisha River Basin, and the relationship with landslides and debris flows was investigated.Materials and methodsHere, soil erosion was simulated using the revised universal soil loss equation (RUSLE) in the Baisha River catchment, Southwest China, for the period of 2001-2020. Land use, rainfall, topography, NDVI, and soil erodibility data were used to calculate 20 years of soil erosion in the watershed. Hazard data of the watershed were used to qualitatively study the relationship between the RUSLE model and landslides and debris flows. The method of partial correlation analysis with the results of the RUSLE model was used to determine the dominant factors of post-earthquake recovery in the watershed.Results and discussionsThe results show that soil erosion in the watershed from 2001 to 2020 can be qualitatively divided into three phases: 2001-2007, 2008-2013, and 2014-2020. The first phase is characterized by a state of natural equilibrium without external disturbances, while the second phase is a period of instability produced by the earthquake. The third phase is a period of erosion slowdown and catchment recovery. The RUSLE model is comfirmed to be a reliable representation of the evolution of geohazards in mountainous watersheds, with a strong correlation between geohazard-prone areas and areas with high erosional rates. The post-disaster recovery process in the watershed was studied qualitatively through a partial correlation analysis, and the final results were consistent with other studies.ConclusionsThe effectiveness of the RUSLE model combined with actual data in qualitatively inferring the evolution of geohazards in the mountainous watershed is confirmed. These results are important references for studying the evolution of geological hazards in mountainous watersheds where data are limited.
C1 [Chen, Hao-Shuang; Wang, Xie-Kang; Yan, Xu-Feng] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China.
   [Chen, Hao-Shuang; Wang, Xie-Kang; Yan, Xu-Feng] Sichuan Univ, Coll Water Resources & Hydropower, Chengdu, Peoples R China.
   [Lei, Sheng; Wang, Xiao-Xiao] Jiangxi Acad Water Sci & Engn, Nanchang, Peoples R China.
C3 Sichuan University; Sichuan University
RP Yan, XF (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu, Peoples R China.; Yan, XF (corresponding author), Sichuan Univ, Coll Water Resources & Hydropower, Chengdu, Peoples R China.
EM xufeng.yan@scu.edu.cn
TC 7
Z9 7
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1439-0108
EI 1614-7480
PD NOV
PY 2023
VL 23
IS 11
BP 3857
EP 3878
DI 10.1007/s11368-023-03586-9
EA JUL 2023
SC Environmental Sciences & Ecology; Agriculture
UT WOS:001025611300001
ER

PT J
AU Li, TB
   Wang, JF
   He, CY
   Meng, LB
   Li, CF
   Ma, JJ
   Wei, DQ
AF Li, Tianbin
   Wang, Jianfeng
   He, Chaoyang
   Meng, Lubo
   Li, Chaofei
   Ma, Junjie
   Wei, Daqiang
TI Distribution law and susceptibility of geohazards across a gradient belt
   of the Western Sichuan Plateau
SO JOURNAL OF MOUNTAIN SCIENCE
DT Article
DE Gradient belt; Geohazards; Distribution law; Bouguer Gravity anomaly
   gradient; Vertical deformation gradient; Susceptibility
ID LOGISTIC-REGRESSION; WENCHUAN EARTHQUAKE; LANDSLIDE HAZARD; DECISION
   TREE; GIS; MECHANISM; HIGHWAY; FAILURE; MODELS; CHINA
AB Across a gradient belt of the Western Sichuan Plateau, geohazards have seriously limited economic and social development. According to incomplete statistics, 15,673 geohazards have been recorded in the study area. In order to mitigate the threat of geohazards to human engineering activities in the region, an overall understanding of the distribution pattern of geohazards and susceptibility assessment are necessary. In this paper, a gradient belt of the Western Sichuan Plateau and its zoning criteria were defined. Subsequently, on the basis of relief amplitude, distance to faults, rainfall, and human activities, three indicators of endogenic process were introduced: Bouguer gravity anomaly gradient, vertical deformation gradient, and horizontal deformation gradient. Thereafter, the distribution patterns of geohazards were investigated through mathematical statistics and ArcGIS software. By randomly selecting 10,449 hazards, a geohazard susceptibility map was generated using the Information Value (IV) model. Finally, the IV model was validated against 5224 hazards using the Area Under Curve (AUC) method. The results show that 47.6% of the geohazards were distributed in the zone of steep slope. Geohazards showed strong responses to distance to faults, human activities, and annual rainfall. The distribution of geohazards in the gradient belt of the Western Sichuan Plateau is more sensitive to vertical internal dynamics factors (such as vertical deformation gradient and Bouguer gravity anomaly gradient) without any apparent sensitivity to horizontal internal dynamics factors. The areas of high and very-high risk account for up to 32.22%, mainly distributed in the Longmenshan and Anning River faults. According to the AUC plot, the success rate of the IV model for generating the susceptibility map is 76%. This susceptibility map and geohazard distribution pattern can provide a reference for geological disaster monitoring, preparation of post-disaster emergency measures, and town planning.
C1 [Li, Tianbin; Wang, Jianfeng; He, Chaoyang; Meng, Lubo; Li, Chaofei; Ma, Junjie; Wei, Daqiang] Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Peoples R China.
   [Li, Tianbin; Wang, Jianfeng; He, Chaoyang; Meng, Lubo; Li, Chaofei; Ma, Junjie; Wei, Daqiang] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
C3 Chengdu University of Technology; Chengdu University of Technology
RP Wang, JF (corresponding author), Chengdu Univ Technol, Coll Environm & Civil Engn, Chengdu 610059, Peoples R China.; Wang, JF (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Prot, Chengdu 610059, Peoples R China.
EM 13683480551@163.com
TC 1
Z9 1
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 1672-6316
EI 1993-0321
PD JUN
PY 2024
VL 21
IS 6
BP 1849
EP 1867
DI 10.1007/s11629-023-8290-4
SC Environmental Sciences & Ecology
UT WOS:001249123300022
ER

PT J
AU Zhu, AX
   Miao, YM
   Liu, JZ
   Bai, SB
   Zeng, CY
   Ma, TW
   Hong, HY
AF Zhu, A-Xing
   Miao, Yamin
   Liu, Junzhi
   Bai, Shibiao
   Zeng, Canying
   Ma, Tianwu
   Hong, Haoyuan
TI A similarity-based approach to sampling absence data for landslide
   susceptibility mapping using data-driven methods
SO CATENA
DT Article
DE Landslide absence data; Sampling method; Data-driven methods; Landslide
   susceptibility mapping, similarity model, data mining and machine
   learning
ID SUPPORT VECTOR MACHINE; EARTHQUAKE-TRIGGERED LANDSLIDES;
   LOGISTIC-REGRESSION; SPATIAL PREDICTION; WENCHUAN EARTHQUAKE; FREQUENCY
   RATIO; NEURAL-NETWORKS; GIS; MODELS; STRATEGIES
AB The absence data (samples) for landslide susceptibility mapping using data-driven methods are not available directly and often approximated by locations where no landslides have occurred. The existing methods for generating absence data cannot quantify the reliability of candidate absence data and thus such data reduce the quality of prediction. In this paper, a new approach to absence data generation, referred to as similarity based sampling, was proposed for landslide susceptibility mapping using data-driven methods. First, the reliability of candidate absence data is quantified based on the dissimilarity in environmental conditions (covariate conditions) between the absence data and the presence data (which are the landslide occurrences). The absence data whose reliability value is higher than a given threshold were selected to be used. The proposed approach was validated through its application to three data-driven methods (i.e. logistic regression, support vector machine and random forest) for landslide susceptibility mapping. A case study was conducted in the Youfang catchment in southern Gansu Province of China. Ten groups of absence data were generated each corresponding to one of the ten different thresholds of reliability ranging from 0.0 to 0.9. The results show that the prediction accuracy of the data-driven methods rose when the threshold increased from 0.0 to 0.5, but the accuracy decreases as the threshold continues to increase after 0.5, that is, from 0.5 to 0.9. The best performance was obtained when the threshold was 0.5. The proposed method was compared with existing methods for absence data generation (i.e. buffer controlled and target space exteriorization). These results show that the similarity-based approach has a better performance than these existing methods for landslide susceptibility mapping using data-driven methods.
C1 [Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Bai, Shibiao; Ma, Tianwu; Hong, Haoyuan] Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhu, A-Xing] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
   [Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Bai, Shibiao; Ma, Tianwu; Hong, Haoyuan] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhu, A-Xing] Univ Wisconsin, Dept Geog, Madison, WI 53706 USA.
   [Zhu, A-Xing] Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
   [Zhu, A-Xing] Southern Univ Sci & Technol, Ctr Social Sci, Guangzhou, Guangdong, Peoples R China.
   [Zeng, Canying] Zhejiang Univ Finance & Econ, Inst Land & Urban Rural Dev, Hangzhou 310018, Zhejiang, Peoples R China.
   [Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Bai, Shibiao; Ma, Tianwu; Hong, Haoyuan] Nanjing Normal Univ, Sch Geog, Nanjing 210023, Jiangsu, Peoples R China.
C3 Nanjing Normal University; Chinese Academy of Sciences; Institute of
   Geographic Sciences & Natural Resources Research, CAS; Nanjing Normal
   University; University of Wisconsin System; University of Wisconsin
   Madison; Chinese Academy of Sciences; University of Chinese Academy of
   Sciences, CAS; Southern University of Science & Technology; Zhejiang
   University of Finance & Economics; Nanjing Normal University
RP Liu, JZ; Hong, HY (corresponding author), Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China.
EM liujunzhi@njnu.edu.cn; 171301013@stu.njnu.edu.cn
TC 123
Z9 136
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD DEC
PY 2019
VL 183
AR 104188
DI 10.1016/j.catena.2019.104188
SC Geology; Agriculture; Water Resources
UT WOS:000488417700014
ER

PT J
AU Basaran, N
   Cinal, GA
   Eroglu, E
AF Basaran, Nermin
   Cinal, Gamze Akdogan
   Eroglu, Engin
TI Soil organic carbon exchange due to the change in land use
SO ENVIRONMENTAL AND ECOLOGICAL STATISTICS
DT Article
DE D & uuml;zce earthquake; Ecological restoration; Land use transfer; Soil
   organic carbon loss
ID 1999 DUZCE EARTHQUAKE; WENCHUAN EARTHQUAKE; STOCKS; SEQUESTRATION;
   VEGETATION; REGION; IZMIT; DYNAMICS; IMPACTS; VARIABILITY
AB This study analyses the decrease in soil organic carbon (SOC) stocks due to changes in land use following the earthquake in D & uuml;zce, Turkey, 1999. The primary objective of the study is to determine the changes in land use within D & uuml;zce and to provide a multi-dimensional approach to the spatial and quantitative distributions of SOC losses. Corine Land Use- Land Cover (LULC) within the study is used to determine the change in land use. The loss of LULC and carbon stocks were identified by means of LULC with transfer matrix method and GIS-based analysis. The study of land-use change caused by urbanisation and agricultural activity shows that the limited green spaces around the urban core created by degrading natural areas do not compensate for the loss of SOC. SOC stocks decline after the land use changes from agricultural regions to artificial areas (- 5%), Natural- Semi-natural (N-SN) regions to artificial areas (- 15%), N-SN areas to agricultural areas (- 20.9%) and agricultural areas to water bodies (- 9%), and SOC stocks increase after land use changes from artificial areas to N-SN areas (+ 29.6%), artificial areas to agricultural areas (+ 8%), agricultural areas to N-SN areas (+ 25%). However, in some agricultural areas, SOC stocks are similar to semi-natural and natural areas. For instance, in sparsely vegetated areas, SOC stocks from fruit and berry plantations may be poor. Although it is generally assumed that SOC loss can occur on land transformed from natural areas, this rule of thumb may be revised in some particular circumstances. Therefore, local ecological restoration decisions should not be based on land cover generalisations.
C1 [Basaran, Nermin; Cinal, Gamze Akdogan; Eroglu, Engin] Duzce Univ, Konuralp Campus Yoruk St Ctr DUZCE, Duzce, Turkiye.
C3 Duzce University
RP Basaran, N; Cinal, GA (corresponding author), Duzce Univ, Konuralp Campus Yoruk St Ctr DUZCE, Duzce, Turkiye.
EM nerminbasaran@duzce.edu.tr; gamzeakd24@gmail.com
TC 2
Z9 3
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1352-8505
EI 1573-3009
PD SEP
PY 2024
VL 31
IS 3
BP 725
EP 748
DI 10.1007/s10651-024-00617-7
EA JUN 2024
SC Environmental Sciences & Ecology; Mathematics
UT WOS:001242127800001
ER

PT J
AU Aghdam, IN
   Varzandeh, MHM
   Pradhan, B
AF Aghdam, Iman Nasiri
   Varzandeh, Mohammad Hossein Morshed
   Pradhan, Biswajeet
TI Landslide susceptibility mapping using an ensemble statistical index
   (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz
   Mountains (Iran)
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Landslide susceptibility; ANFIS; Ensemble; GIS; Alborz Mountain; Iran
ID SUPPORT VECTOR MACHINE; ANALYTICAL HIERARCHY PROCESS; HOA BINH PROVINCE;
   LOGISTIC-REGRESSION; FREQUENCY RATIO; WENCHUAN EARTHQUAKE; SPATIAL
   PREDICTION; GOLESTAN PROVINCE; GIS; HAZARD
AB The main aim of this paper is to develop a new hybrid method to assess landslide susceptibility mapping (LSM) in neighboring provinces of Alborz Mountains in Iran. In the last centuries, this region has experienced a large number of landslides due to its location on earthquake belt, with high precipitation in some parts and having varied topography. Besides, the largest city of Iran (Tehran), a lot of important infrastructures, congested roads and a large population are located in this region. Therefore, determining the spatial outlines of the regions which are prone to future landslides is a critical issue. To reach this goal, the LSM is provided by applying a hybrid model of statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) in a Geographic Information System. In the first step, landslide inventory map was divided into two groups randomly. These groups are training dataset including 70 % recorded landslides and the remaining 30 % was used to test the model output. The first and second groups are used to determine the weights in model and validation of results, respectively. Then, 12 landslide conditioning factors are selected and categorized into two groups which are continuous numerical and nominal. After that, each factor is classified and the weight of each class is determined using Wi. The outputs of Wi and Wi-ANFIS were employed to determine nominal and continuous numerical data, respectively. In the Wi-ANFIS approach, the calculated weights of each class is allocated to the center of each class, and the rest weights of values are determined by ANFIS which is an artificial algorithm using training data (in this paper, the weights were calculated by Wi) in terms of predicting and interpolating. The results are evaluated using receiver operation curves including success rate curve and predicted rate curve. The validation results of the proposed hybrid method shows that the area under the curve of success rate curve and predicted rate curve are 0.90 and 0.89, respectively, which have been improved in comparison with Wi. The results proved that the suggested model applied in this study generated reliable LSM which can be applicable for primary land use planning and infrastructure site selection.
C1 [Aghdam, Iman Nasiri] Islamic Azad Univ, Fac Environm & Energy, Sci & Res Branch, Dept Remote Sensing & Geog Informat Syst, Tehran, Iran.
   [Varzandeh, Mohammad Hossein Morshed] Islamic Azad Univ, Young Researchers & Elite Club, South Tehran Branch, Tehran, Iran.
   [Pradhan, Biswajeet] Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Geospatial Informat Sci Res Ctr, Serdang 43400, Malaysia.
   [Pradhan, Biswajeet] Sejong Univ, Dept Geoinformat Engn, 209 Neungdong Ro, Seoul 05006, South Korea.
C3 Islamic Azad University; Islamic Azad University; Universiti Putra
   Malaysia; Sejong University
RP Pradhan, B (corresponding author), Univ Putra Malaysia, Fac Engn, Dept Civil Engn, Geospatial Informat Sci Res Ctr, Serdang 43400, Malaysia.; Pradhan, B (corresponding author), Sejong Univ, Dept Geoinformat Engn, 209 Neungdong Ro, Seoul 05006, South Korea.
EM biswajeet@mailcity.com
TC 173
Z9 182
PU SPRINGER
PI NEW YORK
PA 233 SPRING ST, NEW YORK, NY 10013 USA
SN 1866-6280
EI 1866-6299
PD APR
PY 2016
VL 75
IS 7
AR 553
DI 10.1007/s12665-015-5233-6
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000373635400012
ER

PT J
AU Yin, JH
   Chen, J
   Xu, XW
   Wang, XL
   Zheng, YG
AF Yin Jinhui
   Chen Jie
   Xu XiWei
   Wang Xulong
   Zheng Yonggang
TI The characteristics of the landslides triggered by the Wenchuan
   Ms 8.0 earthquake from Anxian to Beichuan
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article
DE Landslide; DEM; GIS; Wenchuan earthquake
ID PREDICTIVE MODELING TECHNIQUES; ANALYTICAL HIERARCHY PROCESS;
   SUSCEPTIBILITY ZONATION; LOGISTIC-REGRESSION; HAZARD ZONATION; GIS;
   STATISTICS; VALLEY; BASIN; RIVER
AB This paper presents a quantitative analysis of the number and area of the landslides triggered by the Wenchuan Ms 8.0 earthquake from Anxian to Beichuan. In this study the controlling factors of landslides are obtained from geological maps, relief amplitude, slope, and topographic roughness calculated from DEM data in ArcGis 9.2. A total of 4134 landslides are identified from digital aero-image of 1 m resolution, covering 19.7 km(2) that accounts for 6.4% of the study area. The number of landslides with areas less than 5000 m(2) is up to 85.22%. The smallest landslide is 6 m(2) and the largest 1515,000 m(2). The number of landslides which have occurred is 1.6 times more prevalent at hanging walls as opposed to foot walls. Also the relationship between the numbers of landslides and the distances to an earthquake rupture at a hanging wall is linear but exponential at a footwall. These results prove that landslide activity is more severe at hanging walls than at foot walls. The outcrop area of geologic unit is proportional to the number of landslides except the Jurassic, Triassic and Quaternary units (R-2 = 0.952) in the study area, and landslide density is 19. Meanwhile the area of a landslide is linearly proportional to outcrop area of geologic unit except Jurassic. Lower Cambrian and Quaternary unit (R-2 = 0.8279) in the study area and appear to indicate that the lithology does not play an important role in landslides in the study area.
   Earthquake-triggered landslides tend to be concentrated in specific zones associated with the event-controlling parameters such as reliefs, slopes and topographic roughness. The landslides occurred particularly in the range of 600-1293 m relief amplitudes, and the number in this range amounts to 90% of total slides in the studied region. Moreover, landslides easily occurred in the curvature 1-15 with slope between 5 degrees and 55 degrees. In addition, landslides also usually occurred in the range of 1-1.5 topographic roughness. Therefore these correlations provide a way to assess regional landslide hazards and are of great significance to regional geohazard planning and prediction. (C) 2009 Elsevier Ltd. All rights reserved.
C1 [Yin Jinhui; Chen Jie; Zheng Yonggang] China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing 100029, Peoples R China.
   [Wang Xulong] Chinese Acad Sci, SKLLQG, Inst Earth Environm, Xian 710075, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; Chinese
   Academy of Sciences; Institute of Earth Environment, CAS
RP Yin, JH (corresponding author), China Earthquake Adm, State Key Lab Earthquake Dynam, Inst Geol, Beijing 100029, Peoples R China.
EM z680i@163.com
TC 53
Z9 65
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR 25
PY 2010
VL 37
IS 5-6
BP 452
EP 459
DI 10.1016/j.jseaes.2009.12.002
SC Geology
UT WOS:000275289700005
ER

PT J
AU Delaney, KB
   Evans, SG
AF Delaney, Keith B.
   Evans, Stephen G.
TI The evolution (2010-2015) and engineering mitigation of a
   rockslide-dammed lake (Hunza River, Pakistan); characterisation by
   analytical remote sensing
SO ENGINEERING GEOLOGY
DT Article
DE Rockslide-dammed lake; SRTM; Hunza River; Attabad rockslide; Lake Gojal
ID 2008 WENCHUAN EARTHQUAKE; SRTM DEM; KARAKORAM HIMALAYA; NORTHERN
   PAKISTAN; LANDSLIDE DAM; OUTBURST FLOODS; IMAGES; LEVEL; AREAS; WATER
AB The remnants of rockslide dams are widespread in the deeply incised river valleys of the northwest Himalayas and adjacent Pamir Mountains of Central Asia. In January 2010 a major rockslide (estimated volume similar to 55 Mm(3)) dammed the Hunza River (NW Pakistan) and a rockslide-dammed lake (Lake Gojal) immediately began to form. The lake overtopped the rockslide dam 145 days later through a spillway excavated in the surface of the debris by Pakistan authorities. Lake Gojal successively reduced in volume in response to spillway widening and deepening in engineering works up to May 2013; on August 28, 2015 (Day 2063 of impoundment) a remnant lake still remains. Using SRTM 3-arc-second digital terrain data and ten high-resolution satellite images from the period March 2010-August 2015, we document the river-damming environment of the Attabad rockslide, track and quantify the development of rockslide-dammed Lake Gojal and calculate lake areas and volumes at various stages of filling, stable overtopping, and partial draining to a final stable configuration. We introduce a method of delimiting lake shorelines by a pixel method which produces a mean elevation surface in the SRTM DEM; this technique results in accurate estimates of shoreline elevation and corresponding lake areas and volumes. We estimate the maximum volume reached by Lake Gojal, 51 days after overtopping, to have been approximately 455 Mm(3). Using this data we also evaluate the mitigation works carried out by Pakistan authorities and find that i) they achieved an initial reduction of about 26% in the maximum possible volume of Like Gojal that would have been reached without engineering intervention, and ii) as of August 28, 2015, in drawing down the lake by similar to 40 m, they had achieved a 72% reduction in the maximum volume reached by Lake Gojal after overtopping without a catastrophic release taking place. The emplacement of rockslide dams and the behaviour of their impounded lakes are critical hazards to communities and the development of infrastructure, including hydroelectric facilities, in this region of Central Asia We show that a combination of high-resolution optical satellite imagery and SRTM 3-arc-second digital topography is very effective in producing key first-order data on rockslide-dammed lakes for geomorphic and hydrological analysis as well as the evaluation of engineering mitigation. (C) 2017 Published by Elsevier B.V.
C1 [Delaney, Keith B.; Evans, Stephen G.] Univ Waterloo, Nat Disaster Syst Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada.
C3 University of Waterloo
RP Evans, SG (corresponding author), Univ Waterloo, Nat Disaster Syst Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada.
EM sgevans@uwaterloo.ca
TC 9
Z9 9
PU ELSEVIER SCIENCE BV
PI AMSTERDAM
PA PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD MAR 30
PY 2017
VL 220
BP 65
EP 75
DI 10.1016/j.enggeo.2017.01.003
SC Engineering; Geology
UT WOS:000398872200006
ER

PT J
AU Zhang, Y
   He, ZT
   Ma, BQ
   Wang, JY
   Zhang, H
   Wang, JP
AF Zhang, Yang
   He, Zhongtai
   Ma, Baoqi
   Wang, Jinyan
   Zhang, Hao
   Wang, Jinpeng
TI Geological and geomorphic evidence for activity of the Mengzi fault
   along the southeastern margin of the Tibetan Plateau
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article
DE Mengzi basin; Mengzi fault; Geological; Geomorphic; Southeast of the
   Sichuan-Yunnan block
ID XIANSHUIHE-XIAOJIANG; CRUSTAL DEFORMATION; RED RIVER; YUNNAN;
   EARTHQUAKE; SICHUAN; SYSTEM; CHINA; SLIP; EXTRUSION
AB Few studies have been conducted on the activity of the Mengzi fault system, which is located to the southeast of the Sichuan-Yunnan block. The Mengzi fault is distributed along the eastern margin of the Mengzi basin. However, little is known about the location, length, and activity of the fault or the occurrence of paleo-earth-quakes during the late Quaternary. This paper studies the geometric distribution and activity of the fault via remote sensing imagery interpretation, fault outcrops in the area, faulted landforms and chronological analyses. The results show that the Mengzi fault extends from Nandong (Kaiyuan basin) in the north through the eastern margin of the Mengzi basin to Pingbian in the southeast, eventually intersecting with the Honghe fault. The Mengzi fault is approximately 250 km long and is characterized as a reverse strike-slip fault. We survey and calculate the offset gullies and terraces dislocated by the fault; combined with sample dating, we calculate the horizontal slip rate of the fault since 30 ka BP to be 0.91-1.56 mm/a. Three paleo-events since 30-40 ka BP are observed with a 10-ka major earthquake recurrence period. We analyze the relationships among the Mengzi fault, southern Xiaojiang fault, and Qujiang-Jianshui fault and note a slip rate loss of >= 8 mm/a from the southern Xiaojiang fault that was absorbed by reverse dextral strike-slip faulting and lateral shortening of the Qujiang-Jianshui fault and the Mengzi fault. The Mengzi fault plays an important role in the adjustment of the large slip rate reduction along the southern Xiaojiang fault. Moreover, the Mengzi fault has a similar tectonic position to the seismogenic faults of the 2008 Wenchuan earthquake, 2013 Lushan earthquake and 2014 Ludian earthquake, and the Mengzi fault and southern Xiaojiang fault both accumulate the energy generated by the southeastward movement of the Sichuan-Yunnan block. Studies on the Mengzi fault are helpful for renewing our understanding of the tectonic patterns of the southeastern Sichuan-Yunnan block and delimiting the boundary of the southeastern block margin. Furthermore, because the cities of Mengzi and Kaiyuan are located along the Mengzi fault, this study has practical significance for earthquake disaster mitigation.
C1 [Zhang, Yang; He, Zhongtai; Ma, Baoqi; Wang, Jinpeng] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
   [Wang, Jinyan; Zhang, Hao] Inst Earthquake Engn Jiangsu Prov, Nanjing 210014, Jiangsu, Peoples R China.
C3 China Earthquake Administration
RP He, ZT (corresponding author), China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
EM hezhongtai@126.com
TC 3
Z9 5
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD MAR
PY 2019
VL 171
BP 233
EP 245
DI 10.1016/j.jseaes.2018.09.009
SC Geology
UT WOS:000460709300020
ER

PT J
AU Huang, JP
   Zhang, ZZ
   Ling, SX
AF Huang, Junpeng
   Zhang, Zizhao
   Ling, Sixiang
TI Effect of morphological terraces on earthquake-induced landslides:
   Insights from the January 23, 2024, Ms 7.1 Wushi earthquake in the South
   Tianshan Mountains, China
SO ENGINEERING GEOLOGY
DT Article
DE Terrace landslides; Tianshan Mountains; Ms. 7.1 Wushi earthquake;
   Distribution characteristics; Susceptibility assessment uncertainties;
   Effect of morphological terraces
ID 2008 WENCHUAN EARTHQUAKE; SPATIAL-DISTRIBUTION; TECTONIC EVOLUTION;
   GORKHA EARTHQUAKE; OROGENIC BELT; PATTERN; CLASSIFICATION; DATABASE;
   EROSION; FOREST
AB On January 23, 2024, a magnitude 7.1 earthquake struck Wushi County in the southern Tianshan Mountains, Xinjiang Province, China. This earthquake caused numerous landslides, both on terraces and non-terraces. However, current research lacks a comprehensive examination of the effects of river terraces, as a distinct geomorphic feature, on coseismic landslides. Moreover, variations in sampling strategies introduce uncertainty into the modelling results of coseismic landslide susceptibility assessments. Therefore, this study provides a comprehensive analysis of the spatial distribution, characteristics, controlling factors, and susceptibility assessment of terrace and non-terrace landslides across a 2894 km2 affected area. We developed the first coseismic landslide inventory via extensive remote sensing analysis and field surveys. The results revealed that the Wushi event triggered at least 4009 coseismic landslides, covering a total area of 15.68 km2, approximately one-third of which occurred on river terraces. Statistically, terrace and non-terrace landslides are prone to occur in specific zones of topographic, geologic, hydrologic, and seismic factors, which have relatively high landslide area proportions, landslide area densities (LADs), and landslide number densities (LNDs). These factors have the most significant control over terrace landslides, with higher LAD and LND values than non-terrace landslides do, which is called the terrace effect. Terrace landslides preferentially occurred in areas with intermediate elevations, hillslopes with steep gradients, low-elevation depressions, and high peak ground acceleration (PGA) values. Under the two different sampling strategies, the landslide susceptibility assessments performed using the Bayes network (BN), decision table naive Bayes (DTNB) and radial basis function classifier (RBFC) models demonstrate that source-based machine learning (ML) models achieve superior predictive performance compared with mass-based models. Notably, river terrace areas exhibit both higher proportions of high/very high susceptibility zones and greater landslide concentrations within these zones than the entire study region does. The tectonic geomorphic conditions of the Wushi earthquake-induced landslides are macroscopically controlled by regional uplift and river erosion, whereas earthquakes provide direct triggers for landslide occurrence. The clustering and size of terrace landslides are controlled by the terrace effect, especially the effect of morphological terraces. This study increases the understanding of the spatial distribution of earthquakeinduced terrace landslides in the Tianshan Mountains, offering a scientific foundation for disaster prevention and mitigation in comparable regions.
C1 [Huang, Junpeng; Zhang, Zizhao] Xinjiang Univ, Sch Geol & Min Engn, Urumqi 830017, Peoples R China.
   [Huang, Junpeng; Zhang, Zizhao] Xinjiang Univ, State Key Lab Geomech & Deep Underground Engn, Urumqi 830017, Peoples R China.
   [Ling, Sixiang] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 61175, Peoples R China.
C3 Xinjiang University; Xinjiang University; Southwest Jiaotong University
RP Zhang, ZZ (corresponding author), 777 Huarui St,Shuimogou zone, Urumqi 830017, Peoples R China.
EM huangjunpeng@xju.edu.cn; zhangzizhao@xju.edu.cn
TC 3
Z9 3
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD JUL
PY 2025
VL 354
AR 108210
DI 10.1016/j.enggeo.2025.108210
EA JUN 2025
SC Engineering; Geology
UT WOS:001522833800001
ER

PT J
AU Luo, J
   Evans, SG
   Pei, XJ
   Huang, RQ
   Liu, M
   Dong, XJ
AF Luo, Jing
   Evans, Stephen G.
   Pei, Xiangjun
   Huang, Runqiu
   Liu, Ming
   Dong, Xiujun
TI Anomalous co-seismic surface effects produced by the 2014 Mw 6.2 Ludian
   earthquake, Yunnan, China: An example of complex faulting related to
   Riedel shear structures
SO ENGINEERING GEOLOGY
DT Article
DE 2014 Ludian earthquake; Co-seismic surface ruptures; Riedel shear;
   Strike-slip duplex structure; Co-seismic landslides; Fault-related
   landslide
ID STRIKE-SLIP DUPLEX; ALTYN TAGH FAULT; TIBETAN PLATEAU; RUPTURE
   CHARACTERISTICS; SPATIAL-DISTRIBUTION; WENCHUAN EARTHQUAKE; INDUCED
   LANDSLIDES; DEFORMATION; SYSTEM; STRESS
AB Riedel shear structures are often developed within strike-slip fault zones. This study focuses on the Riedel shear structures within the co-seismic surface rupture zone and the co-seismic landslides produced by the 2014 Mw 6.2 Ludian earthquake. All the geologic, seismic, and geodesic data indicate a WNW-ESE principal compressive stress acting on the Baogunao-Xiaohe fault zone (BXFZ). Based on the idealized Riedel shear model, together with evidences form the particular distribution of aftershocks and co-seismic surface effects, the 2014 Ludian earthquake could be with a complex faulting process related to the Riedel shear structures under this present tectonic stress, i.e., NNW-striking sinistral strike-slip fault plane (Y shear) which trends approximately N40 degrees W, and ENE-striking dextral strike-slip fault plane (R' shear) which is nearly perpendicular to former. Field surveys and structural analysis of the co-seismic surface rupture zone are performed based on Unmanned Aerial Vehicle (UAV), borehole drilling, and adit excavation, to the north of Wangjiapo Village, southeast of the epicenter. The results indicate that these co-seismic surface ruptures were produced following a pre-existing sinistral transtensional duplex structure in plan view, which mainly comprises i) typical Riedel shear structures characterized by en echelon cracks running northwest and ii) tensile cracks subparallel to the slope contours running northeast. And the inward-dipping geometry of faults under the sinistral transtentional duplexes converges downwards into a single shear zone, which is defined as a negative (normal faulted) flower structure in vertical crosssection. In addition, on the basis of the analyses of three large-scale landslides, this study demonstrates that the slopes in a state of marginal static stability just situated inside the region of main energy release, which was predominantly controlled by the Y shear fault, are the reasons why this moderate earthquake induced anomalous co-seismic landslides.
C1 [Luo, Jing; Pei, Xiangjun; Huang, Runqiu; Liu, Ming; Dong, Xiujun] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
   [Evans, Stephen G.] Univ Waterloo, Nat Disaster Syst Earth & Environm Sci, Waterloo, ON N2L 3G1, Canada.
C3 Chengdu University of Technology; University of Waterloo
RP Pei, XJ (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China.
EM peixiangjun2012@cdut.cn
TC 18
Z9 22
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0013-7952
EI 1872-6917
PD MAR 5
PY 2020
VL 266
AR 105476
DI 10.1016/j.enggeo.2020.105476
SC Engineering; Geology
UT WOS:000520942400017
ER

PT J
AU Xie, ZT
   Chen, G
   Meng, XM
   Zhang, Y
   Qiao, L
   Tan, L
AF Xie, Zhengtuan
   Chen, Guan
   Meng, Xingmin
   Zhang, Yi
   Qiao, Liang
   Tan, Long
TI A comparative study of landslide susceptibility mapping using weight of
   evidence, logistic regression and support vector machine and evaluated
   by SBAS-InSAR monitoring: Zhouqu to Wudu segment in Bailong River Basin,
   China
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Landslide susceptibility; Weight of evidence; Logistic regression;
   Support vector machine; SBAS-InSAR
ID SPATIAL PREDICTION MODELS; 3 GORGES AREA; CONDITIONAL-PROBABILITY;
   WENCHUAN EARTHQUAKE; GOLESTAN PROVINCE; LIKELIHOOD RATIO; FREQUENCY
   RATIO; GIS; BIVARIATE; MULTIVARIATE
AB The determining of landslide-prone areas in mountainous terrain is essential for land planning and hazard mitigation. In this paper, a comparative study using three statistical models including weight of evidence model (WoE), logistic regression model (LR) and support vector machine method (SVM) was undertaken in the Zhouqu to Wudu segment in the Bailong River Basin, Southern Gansu, China. Six conditionally independent environmental factors, elevation, slope, aspect, distance from fault, lithology and settlement density, were selected as the explanatory variables that may contribute to landslide occurrence based on principal component analysis (PCA) and Chi-square test. The relation between landslide distributions and these variables was analyzed using the three models and the results then used to calculate the landslide susceptibility (LS). The performance of the models was then evaluated using both the highly accurate deformation signals produced by using the Small Baseline Subset Interferometric Synthetic Aperture Radar technique and Receiver Operating Characteristic (ROC) curve. Results show more deformation points in areas with high and very high LS levels, and also more stable points in areas with low and very low LS levels for the SVM model. In addition, the SVM has larger area under the ROC curve. It indicates that the SVM has better prediction accuracy and classified ability. For the interpretability, the WoE derives the class of factors that most contributed to landsliding in the study area, and the LR reveals that factors including elevation, settlement density and distance from fault played major roles in landslide occurrence and distribution, whereas the SVM cannot provide relative weights for the variables. The outperformed SVM could be employed to determine potential landslide zones in the study area. Outcome of this research would provide preliminary basis for general land planning such as choosing new urban areas and infrastructure construction in the future, as well as for landslide hazard mitigation in Bailong River Basin.
C1 [Xie, Zhengtuan; Chen, Guan; Meng, Xingmin; Zhang, Yi; Qiao, Liang] Lanzhou Univ, Key Lab West Chinas Environm Syst, Minist Educ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.
   [Xie, Zhengtuan; Chen, Guan; Meng, Xingmin; Zhang, Yi; Qiao, Liang] Lanzhou Univ, Gansu Environm Geol & Geohazards Engn Res Ctr, Lanzhou 730000, Peoples R China.
   [Tan, Long] Sina Mobile Technol Co Ltd, Beijing 100080, Peoples R China.
C3 Lanzhou University; Lanzhou University
RP Chen, G (corresponding author), Lanzhou Univ, Key Lab West Chinas Environm Syst, Minist Educ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China.; Chen, G (corresponding author), Lanzhou Univ, Gansu Environm Geol & Geohazards Engn Res Ctr, Lanzhou 730000, Peoples R China.
EM gchen@lzu.edu.cn
TC 65
Z9 71
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD APR
PY 2017
VL 76
IS 8
AR 313
DI 10.1007/s12665-017-6640-7
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000400267300009
ER

PT J
AU Gautam, P
   Kubota, T
   Sapkota, LM
   Shinohara, Y
AF Gautam, Pawan
   Kubota, Tetsuya
   Sapkota, Lok Mani
   Shinohara, Yoshinori
TI Landslide susceptibility mapping with GIS in high mountain area of
   Nepal: a comparison of four methods
SO ENVIRONMENTAL EARTH SCIENCES
DT Article
DE Landslide susceptibility mapping; High mountain region; Frequency ratio;
   Logistic regression; Artificial neural network; Support vector machine
ID ARTIFICIAL NEURAL-NETWORKS; 2008 WENCHUAN EARTHQUAKE;
   LOGISTIC-REGRESSION; FREQUENCY RATIO; SPATIAL PREDICTION;
   CONDITIONAL-PROBABILITY; SHALLOW LANDSLIDES; HIERARCHY PROCESS;
   LIKELIHOOD RATIO; DECISION TREE
AB Landslide susceptibility mapping (LSM) assists identifying and targeting landslide preventive measures, thereby minimizing potential losses. Multiple approaches are employed for LSM in various physiographic regions; however, their applicability has differed across studies, with limited understanding on the most suitable approach for LSM in high mountain areas. Hence, we conducted LSM in the Indrawati watershed, a high mountain area of Central Nepal, employing four approaches: frequency ratio, logistic regression, artificial neural network, and support vector machine. Nine landslide causal factors (slope, aspect, elevation, geological formation, proximity to river, proximity to road, land cover, soil type, and curvature) were considered for LSM. Rainfall-induced landslides were mapped by the on-screen digitization of satellite images and field observations. The landslides were randomly split into a ratio of 80:20 for training and validating the susceptibility maps. The LSMs obtained by four methods were then validated and compared using area under curve (AUC), kappa index, and statistical inferences (sensitivity, specificity, positive predictive value, negative predictive value, and accuracy). Our study showed that Eutric Cambisols, a class of soil type, has a strong association with landslide occurrence among the 52 classes of the nine causal factors. We found that the artificial neural network approach possessed the best prediction capability (AUC value=86.9%) among the four methods, followed by logistic regression (85.6%), support vector machine (81.2%), and frequency ratio (80.1%) approaches. However, Kappa index and other statistical inferences suggested the support vector machine approach to be the second-best method. Overall, we found that the artificial neural network yields more accurate and reliable results and hence considered as a promising approach for susceptibility mapping in high mountainous region of Hindu-Kush Himalaya. The findings of this study might be useful for landslide analysts, development planners and decision-makers in conducting LSM and development planning in high mountain regions.
C1 [Gautam, Pawan] Kyushu Univ, Agroenvironm Sci Dept, Lab Forest Conservat & Eros Control, Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan.
   [Kubota, Tetsuya] Kyushu Univ, Fac Agr, Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan.
   [Sapkota, Lok Mani] RECOFTC, Bangkok, Thailand.
   [Shinohara, Yoshinori] Univ Miyazaki, Fac Agr, 1-1 Gakuen Kibanadai Nishi, Miyazaki 8892192, Japan.
   [Gautam, Pawan] Zool Soc London Nepal, Gulaf Marg,POB 5867, Kathmandu, Nepal.
C3 Kyushu University; Kyushu University; University of Miyazaki
RP Gautam, P (corresponding author), Kyushu Univ, Agroenvironm Sci Dept, Lab Forest Conservat & Eros Control, Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan.; Gautam, P (corresponding author), Zool Soc London Nepal, Gulaf Marg,POB 5867, Kathmandu, Nepal.
EM pawan.gtm@kyudai.jp
TC 40
Z9 42
PU SPRINGER
PI NEW YORK
PA ONE NEW YORK PLAZA, SUITE 4600, NEW YORK, NY, UNITED STATES
SN 1866-6280
EI 1866-6299
PD MAY
PY 2021
VL 80
IS 9
AR 359
DI 10.1007/s12665-021-09650-2
SC Environmental Sciences & Ecology; Geology; Water Resources
UT WOS:000733161800006
ER

PT J
AU Li, L
   Liu, R
   Pirasteh, S
   Chen, XH
   He, L
   Li, J
AF Li, Long
   Liu, Rui
   Pirasteh, Saied
   Chen, Xianhua
   He, Long
   Li, Jonathan
TI A novel genetic algorithm for optimization of conditioning factors in
   shallow translational landslides and susceptibility mapping
SO ARABIAN JOURNAL OF GEOSCIENCES
DT Article
DE Landslide; Susceptibility analysis; Factor selection; Novel genetic
   algorithm; Logistic regression
ID LOGISTIC-REGRESSION MODEL; ANALYTICAL HIERARCHY PROCESS; ARTIFICIAL
   NEURAL-NETWORKS; 2008 WENCHUAN EARTHQUAKE; LUSHAN EARTHQUAKE; FREQUENCY
   RATIO; AREA; GIS; VALIDATION; STABILITY
AB Genetic algorithm (GA) is an effective approach in selecting the best factors without considering all possible combinations in landslide susceptibility mapping (LSM). The approach experienced a local optimal solution for hazard mapping. In this study, we propose a novel genetic algorithm (NGA) for solving the problems of optimal precision in selecting conditioning factors based on the crossover and mutation. In the southwestern part of China, including Wenchuan, Ludshan, and Ludian areas, the findings of this study confirm the applicability of NGA, which has a strong robustness compared to GA obviously. Results indicated that the highest area under curve (AUC) of GA is 93.47, 83.45, and 82.21% in Wenchuan, Lushan, and Ludian, respectively. Cumulative error of the precision (Delta R) is 3.19, 10.48, and 6.05%, and error of the highest precision (Delta P) is 0.01, 0.03, and 0.12% for Wenchuan, Lushan, and Ludian, respectively. Compared to the GA, the highest accuracy of NGA is 93.48% (Wenchuan), 83.48% (Lushan), and 82.28% (Ludian). It also revealed that Delta R is 0.77, 1.26, and 1.82%, and Delta P is 0.00, 0.04, and 0.05% for Wenchuan, Lushan, and Ludian, respectively. By comparing with GA, the novel approach of NGA has stronger robustness and higher accuracy on selecting the optimal conditioning factors of landslide. Additionally, the relationship of landslide occurrence with controlling factors was assessed in every study area. According to the results, lithology, distance to roads, elevation, and slope were regarded as the most effective factors for shallow translational landslides. These factors implied that internal structure and composition of rock, anthropogenic activity, and topography factors posed the main impacts on landslide occurrence. Finally, we implemented landslide susceptibility assessment in three study areas. Results showed that high landslide susceptibility was in the east and northeastern parts of Wenchuan; central region northward of Lushan; and southwest, central region, and west of Ludian.
C1 [Li, Long; Liu, Rui; Chen, Xianhua; He, Long] Chengdu Univ Technol, Sch Geophys, Chengdu 610059, Peoples R China.
   [Liu, Rui] Chengdu Univ Technol, Minist Educ, Key Lab Earth Explorat & Informat Technol, Chengdu 610059, Peoples R China.
   [Liu, Rui] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Pirasteh, Saied; Li, Jonathan] Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada.
C3 Chengdu University of Technology; Chengdu University of Technology;
   Chengdu University of Technology; University of Waterloo
RP Liu, R (corresponding author), Chengdu Univ Technol, Sch Geophys, Chengdu 610059, Peoples R China.; Liu, R (corresponding author), Chengdu Univ Technol, Minist Educ, Key Lab Earth Explorat & Informat Technol, Chengdu 610059, Peoples R China.; Liu, R (corresponding author), Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
EM lsjlr@163.com
TC 17
Z9 20
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1866-7511
EI 1866-7538
PD MAY
PY 2017
VL 10
IS 9
AR 209
DI 10.1007/s12517-017-3002-4
SC Geology
UT WOS:000401323000012
ER

PT J
AU Ali, MZ
   Chen, KJ
   Shafique, M
   Adnan, M
   Zheng, ZW
   Zhang, W
   Qing, ZH
AF Ali, Muhammad Zeeshan
   Chen, Kejie
   Shafique, Muhammad
   Adnan, Muhammad
   Zheng, Zhiwen
   Zhang, Wei
   Qing, Zhanhui
TI High-resolution landslide mapping and susceptibility assessment:
   Landslide temporal variations and vegetation recovery
SO ADVANCES IN SPACE RESEARCH
DT Article
DE Landslide Inventory; Logistic Regression; Landslide susceptibility
   Mapping; Causative Factors; NDVI; Transportation Network
ID ANALYTICAL HIERARCHY PROCESS; 2005 KASHMIR EARTHQUAKE;
   LOGISTIC-REGRESSION; PAKISTAN EARTHQUAKE; WENCHUAN EARTHQUAKE; FREQUENCY
   RATIO; SATELLITE DATA; RANDOM FOREST; PROCESS AHP; GIS
AB In mountainous terrains, the frequent landslides and their associated impacts on human lives and the economy is increasing globally. Development of landslide inventory and afterward landslide susceptibility mapping are the main prerequisites for implementing landslide mitigation measures and protection in mountainous regions. The 2005 Kashmir earthquake induced different small and large landslides and some were active for the long term. So far many studies have used medium and high-resolution data to develop landslide inventory. This study aims to develop a 1st detailed, comprehensive and accurate landslide inventory using a very high-resolution image using a semi-automatic technique. The precise landslide inventory is employed to develop an accurate and comprehensive landslide susceptibility map considering the landslide inventory data using a logistic regression training model. Furthermore, the landslide's temporal recovery from the earthquake and its reactivation due to rainfall in spare vegetation areas have been evaluated. Fine-resolution satellite images of Worldview-2 are applied to develop a detailed landslide inventory using a Support Vector Machine (SVM) classifier. A total of 63,630 landslides were identified using a semi-automatic technique within a study area of 265 km2. 2 . From regression modeling, the results show that geology, topography, and road networks have a significant impact on the spatial distribution of landslides. Model performance was evaluated based on the testing data, the model gives an AUC of 0.93 and the kappa value of 0.9353. The spatiotemporal NDVI has been assessed to identify the landslide recovery and its reactivation due to extreme rainfall. The results show that 72.1 % of the landslides occurred in Muzaffarabad formation in the study area. The developed landslide susceptibility map can be further used for land-use planning and implementing mitigation measures for the safety of roads and other infrastructure in the area. (c) 2024 COSPAR. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
C1 [Ali, Muhammad Zeeshan; Chen, Kejie] South Univ Sci & Technol China, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China.
   [Shafique, Muhammad] Univ Peshawar, Natl Ctr Excellence Geol, Peshawar 25130, Pakistan.
   [Adnan, Muhammad] Air Univ, Fac Comp & AI, Islamabad 44000, Pakistan.
   [Zheng, Zhiwen; Zhang, Wei; Qing, Zhanhui] Guangdong Prov Geol Environm Monitoring Stn, Guangzhou, Peoples R China.
   [Shafique, Muhammad] Natl Ctr GIS & Space Applicat NCGSA, GIS & Space Applicat Geosci Lab G SAG, Islamabad, Pakistan.
C3 Southern University of Science & Technology; University of Peshawar; Air
   University Islamabad
RP Chen, KJ (corresponding author), South Univ Sci & Technol China, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China.
EM chenkj@sustech.edu.cn
TC 9
Z9 10
PU ELSEVIER SCI LTD
PI London
PA 125 London Wall, London, ENGLAND
SN 0273-1177
EI 1879-1948
PD OCT 15
PY 2024
VL 74
IS 8
BP 3668
EP 3690
DI 10.1016/j.asr.2024.06.048
EA SEP 2024
SC Engineering; Astronomy & Astrophysics; Geology; Meteorology &
   Atmospheric Sciences
UT WOS:001309714300001
ER

PT J
AU Li, WP
   Wu, YM
   Gao, X
   Wang, WM
   Yang, ZH
   Liu, HJ
AF Li, W. P.
   Wu, Y. M.
   Gao, X.
   Wang, W. M.
   Yang, Z. H.
   Liu, H. J.
TI The Distribution Pattern of Ground Movement and Co-Seismic Landslides: A
   Case Study of the 5 September 2022 Luding Earthquake, China
SO JOURNAL OF GEOPHYSICAL RESEARCH-EARTH SURFACE
DT Article
DE earthquake; co-seismic landslides; distribution pattern; surface
   displacement; ground movement; Moxi fault
ID PROBABILISTIC APPROACH; SPATIAL-DISTRIBUTION; WENCHUAN EARTHQUAKE;
   SOURCE INVERSION; RUPTURE PROCESS; STRONG-MOTION; FAULT ZONE; EQUATIONS;
   NORTHRIDGE; PREDICTION
AB Major earthquakes can cause extensive landsliding that poses a major threat to both property and human lives. In addition to co-seismically triggered ground failure, the earthquake-affected region remains vulnerable to landslides due to loosened and unstable materials and structures. Many researchers have studied landslide distributions and their controlling factors after earthquakes, but the function of ground motion is unclear. To investigate the connection in a strike-slip earthquake, we analyzed the 5 September 2022 Luding earthquake (Mw 6.6) in Sichuan Province, China. We interpreted remote-sensing images to obtain the landslide distribution before and after the earthquake, calculated surface deformation from D-InSAR data (pre- and post-earthquake), utilized a point-source model for the focal mechanism inversion, and then constructed a finite fault model for the rupture slip. There are clear differences in the landslide distributions on the two sides of the fault before and after the earthquake. The density of co-seismic landslides on the west side of the fault exceeded that on the east side. The patterns of surface deformation and ground motion indicated that the areas with larger deformation and motion were associated with more landslides. Furthermore, the landslide size decreased with distance from the fault. A new finding is that co-seismic landslides induced by strike-slip earthquakes result in high landslide concentration on both sides of the fault, while previous studies find that co-seismic landslides triggered by thrust earthquakes present a hanging wall concentrated distribution pattern. These findings contribute to a more comprehensive understanding of the connection between ground movement patterns and landslide distributions.
   Our research focused on the 5 September 2022 Luding earthquake in Sichuan Province, China. The study identified distinct disparities in the distribution of landslides on either side of the fault, both landslides that happen before, during, and shortly after an earthquake. The western side of the fault exhibited a higher density of landslides following seismic activity compared with the eastern side during the Luding earthquake. The areas experiencing more significant deformation and motion during the earthquake were more prone to landslides. Moreover, landslides induced by strike-slip earthquakes displayed high landslide concentrations on both sides of the fault. In contrast, landslides triggered by thrust earthquakes predominantly exhibited a concentrated hanging wall distribution pattern.
   The type of fault is a primary controller of the landslide distribution pattern More landslides occurred in areas with more deformation and greater ground motion
C1 [Li, W. P.; Wu, Y. M.; Gao, X.] Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.
   [Li, W. P.] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.
   [Wang, W. M.] Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing, Peoples R China.
   [Yang, Z. H.] Chinese Acad Geol Sci, Inst Geomech, Beijing, Peoples R China.
   [Liu, H. J.] Leshan Normal Univ, Sichuan Tourism Dev Res Ctr, Leshan, Sichuan, Peoples R China.
C3 Chinese Academy of Sciences; Institute of Geographic Sciences & Natural
   Resources Research, CAS; Chinese Academy of Sciences; University of
   Chinese Academy of Sciences, CAS; Chinese Academy of Sciences; Institute
   of Tibetan Plateau Research, CAS; China Geological Survey; Institute of
   Geomechanics, Chinese Academy of Geological Sciences; Chinese Academy of
   Geological Sciences; Leshan Normal University
RP Wu, YM (corresponding author), Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China.
EM wuym@lreis.ac.cn
TC 4
Z9 4
PU AMER GEOPHYSICAL UNION
PI WASHINGTON
PA 2000 FLORIDA AVE NW, WASHINGTON, DC 20009 USA
SN 2169-9003
EI 2169-9011
PD MAY
PY 2024
VL 129
IS 5
AR e2023JF007534
DI 10.1029/2023JF007534
SC Geology
UT WOS:001231881300001
ER

PT J
AU Niu, PF
   Han, ZJ
   Guo, P
   Li, KC
   Lu, LX
AF Niu PengFei
   Han ZhuJun
   Guo, Peng
   Li KeChang
   Lu LiXing
TI Investigation and implication of the surface rupture width of Menyuan
   Ms6. 9 Earthquake in Qinghai Province, 2022
SO CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
DT Article
DE Strike-slip earthquake; Earthquake surface rupture zone; Active fault
   "avoidance zone" width; Menyuan M(s)6. 9 earthquake; Seismic engineering
   design
ID SEISMOGENIC STRUCTURE; WENCHUAN EARTHQUAKE; ZONE; FAULT
AB The surface rupture zone is the direct manifestation of an earthquake on the Earth' s surface, and its width is an important parameter for the active fault' s "avoidance zone" and seismic engineering design. The development of remote sensing technology such as unmanned aerial vehicle detection has promoted the research of surface rupture zone, including obtaining high-resolution image data, accurately measuring their width, analyzing their spatial distribution, and defining a reasonable "avoidance zone" for the active fault. The 2022 Menyuan M(s)6. 9 earthquake created a significant left-lateral surface rupture zone in the stepover of the Lenglongling and Tuolaishan faults along the northeastern margin of the Tibetan Plateau. In this study, we conducted a detailed interpretation of the earthquake' s surface rupture zone based on high-resolution unmanned aerial vehicle orthoimages and digital elevation models obtained after the earthquake. We measured the rupture zone' s width every 100 m along the fault strike and got 251 width data points. The maximum and average width of the R1 rupture zone are 209. 78 +/- 14 m and 42 m respectively and are 115. 31 +/- 15. 72 m and 26. 14 m at the R2 rupture zone respectively. According to the spatial distribution of the above data, we believe that the surface rupture zone's width shows significant variations along the fault strike, which is mainly controlled by the distribution of Quaternary loose deposits, the geometric structure of the faults, and their coseismic deformation. Specifically, the surface rupture zone is wider in the areas with Quaternary loose deposits, complex fault structures, and larger coseismic displacement, while it is narrower in the areas with the fault cut through bedrock, relatively straight fault segments, and smaller coseismic displacement. Based on the statistics of the rupture zones' width after removing the data's outliers, we conclude that the effective widths at 95. 4% and 68. 2% confidence intervals are approximately 70 or 50 m, respectively. For this reason, we suggest that the "avoidance zone" in the seismic engineering design can refer to the effective widths of fault zones in this study (70 or 50 m) if the maximum potential magnitude of a strike-slip fault is similar to the Menyuan earthquake (approximately M7. 0). Specifically, the width of the "avoidance zone" can expand 35 or 25 m according to the type of building or structure on each side of a single strike-slip fault or the domain of complex geometric structures such as oblique stepover, sub-parallel secondary faults on both sides, strike curved faults, and the areas with steeply inclined fault plane. This study provides a basis for the avoidance of strike-slip faults in the choice of building location.
C1 [Niu PengFei; Han ZhuJun; Guo, Peng; Li KeChang; Lu LiXing] China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA
RP Han, ZJ (corresponding author), China Earthquake Adm, Inst Geol, Beijing 100029, Peoples R China.
EM niupengfei0814@163.com; zjhan0904@163.com
TC 1
Z9 1
PU SCIENCE PRESS
PI BEIJING
PA 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
SN 0001-5733
PD FEB
PY 2024
VL 67
IS 2
BP 548
EP 570
DI 10.6038/cjg2023R0162
SC Geochemistry & Geophysics
UT WOS:001184348600011
ER

PT J
AU Martino, S
   Battaglia, S
   D'Alessandro, F
   Della Seta, M
   Esposito, C
   Martini, G
   Pallone, F
   Troiani, F
AF Martino, S.
   Battaglia, S.
   D'Alessandro, F.
   Della Seta, M.
   Esposito, C.
   Martini, G.
   Pallone, F.
   Troiani, F.
TI Earthquake-induced landslide scenarios for seismic microzonation:
   application to the Accumoli area (Rieti, Italy)
SO BULLETIN OF EARTHQUAKE ENGINEERING
DT Article
DE Earthquake-induced landslides; Scenario mapping; Seismic microzonation;
   Italy
ID INDUCED GROUND FAILURES; WENCHUAN EARTHQUAKE; SUSCEPTIBILITY; MODELS;
   BASIN
AB Scenarios of earthquake-induced landslides are necessary for seismic microzonation (SM) studies since they must be integrated with the mapping of instability areas. The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake-Induced slope FAiLures) approach provides extensive analyses, over tens to thousands of square kilometers, and is designed as a fully comprehensive methodology to output expected scenarios which depend on seismic input and saturation conditions. This allows to attribute a rating, in terms of severity level, to the landslide-prone slope areas in view of future engineering studies and designs. PARSIFAL takes into account first-time rock- and earth-slides as well as re-activations of existing landslides performing slope stability analyses of different failure mechanisms. The results consist of mapping earthquake-induced landslide scenarios in terms of exceedance probability of critical threshold values of co-seismic displacements (P[D >= Dc|a(t),a(y)]). PARSIFAL was applied in the framework of level 3 SM studies over the municipality area of Accumoli (Rieti, Italy), strongly struck by the 2016 seismic sequence of Central Apennines. The use of the PARSIFAL was tested for the first time to screen the Susceptibility Zones (ZS(FR)) from the Attention Zones (ZA(FR)) in the category of the unstable areas, according to the guidelines by Italian Civil Protection. The results obtained were in a GIS-based mapping representing the possibility for a landslide to be induced by an earthquake (with a return period of 475 years) in three different saturation scenarios (i.e. dry, average, full). Only 41% of the landslide-prone areas in the Municipality of Accumoli are existing events, while the remaining 59% is characterized by first-time earth- or rock-slides. In dry conditions, unstable conditions or P[D >= Dc|a(t),a(y)] > 0 were for 54% of existing landslides, 17% of first-time rock-slides and 1% of first-time earth-slides. In full saturation conditions, the findings are much more severe since unstable conditions or P[D >= Dc|a(t),a(y)] > 0 were found for 58% of the existing landslides and for more than 80% of first-time rock- and earth-slides. Moreover, comparison of the total area of the ZA(FR)versus ZS(FR), resulted in PARSIFAL screening reducing of 22% of the mapped ZA(FR).
C1 [Martino, S.; Battaglia, S.; D'Alessandro, F.; Della Seta, M.; Esposito, C.; Pallone, F.; Troiani, F.] Univ Roma Sapienza, Dipartimento Sci Terra, Pza A Moro 5, I-00185 Rome, Italy.
   [Martino, S.; Battaglia, S.; D'Alessandro, F.; Della Seta, M.; Esposito, C.; Pallone, F.; Troiani, F.] Univ Roma Sapienza, Ctr Ric & Rischi Geol CERI, Pza A Moro 5, I-00185 Rome, Italy.
   [Martini, G.] Agenzia Nazl Nuove Tecnol Energia & Sviluppo Econ, Via Enrico Fermi 45, I-00044 Rome, Italy.
C3 Sapienza University Rome; Sapienza University Rome; Italian National
   Agency New Technical Energy & Sustainable Economics Development; Italian
   National Agency New Technical Energy & Sustainable Economics Development
RP Martino, S (corresponding author), Univ Roma Sapienza, Dipartimento Sci Terra, Pza A Moro 5, I-00185 Rome, Italy.; Martino, S (corresponding author), Univ Roma Sapienza, Ctr Ric & Rischi Geol CERI, Pza A Moro 5, I-00185 Rome, Italy.
EM salvatore.martino@uniroma1.it
TC 24
Z9 25
PU SPRINGER
PI DORDRECHT
PA VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
SN 1570-761X
EI 1573-1456
PD SEP
PY 2020
VL 18
IS 12
SI SI
BP 5655
EP 5673
DI 10.1007/s10518-019-00589-1
SC Engineering; Geology
UT WOS:000565913400011
ER

PT J
AU Xu, C
   Xu, XW
   Shyu, JBH
   Zheng, WJ
   Min, W
AF Xu, Chong
   Xu, Xiwei
   Shyu, J. Bruce H.
   Zheng, Wenjun
   Min, Wei
TI Landslides triggered by the 22 July 2013 Minxian-Zhangxian, China, Mw
   5.9 earthquake: Inventory compiling and spatial distribution analysis
SO JOURNAL OF ASIAN EARTH SCIENCES
DT Article
DE 2013 Minxian-Zhangxian earthquake; Landslides; Landslide inventory;
   Spatial analysis; Satellite images; Visual interpretation
ID 2008 WENCHUAN EARTHQUAKE; PREFECTURE EARTHQUAKE; DISTRIBUTION PATTERN;
   STATISTICAL-ANALYSIS; NIIGATA PREFECTURE; LUSHAN EARTHQUAKE; 1994
   NORTHRIDGE; DENALI FAULT; MID-NIIGATA; LOMA-PRIETA
AB On July 22, 2013, an earthquake of Ms. 6.6 occurred at the junction area of Minxian and Zhangxian counties, Gansu Province, China. This earthquake triggered many landslides of various types, dominated by small-scale soil falls, slides, and topples on loess scarps. There were also a few deep-seated landslides, large-scale soil avalanches, and fissure-developing slopes. In this paper, an inventory of landslides triggered by this event is prepared based on field investigations and visual interpretation of high-resolution satellite images. The spatial distribution of the landslides is then analyzed. The inventory indicates that at least 2330 landslides were triggered by the earthquake. A correlation statistics of the landslides with topographic, geologic, and earthquake factors is performed based on the GIS platform. The results show that the largest number of landslides and the highest landslide density are at 2400 m-2600 m of absolute elevation, and 200 m-300 m of relative elevation, respectively. The landslide density does not always increase with slope gradient as previously suggested. The slopes most prone to landslides are in S. SW, W, and NW directions. Concave slopes register higher landslide density and larger number of landslides than convex slopes. The largest number of landslides occurs on topographic position with middle slopes, whereas the highest landslide density corresponds to valleys and lower slopes. The underlying bedrocks consisting of conglomerate and sandstone of Lower Paleogene (E-b) register both the largest number and area of landslides and the highest landslide number and area density values. Correlations of landslide number and landslide density with perpendicular- and along-strike distance from the epicenter show an obvious spatial intensifying character of the co-seismic landslides. The spatial pattern of the co-seismic landslides is strongly controlled by a branch of the Lintan-Dangchang fault, which indicates the effect of seismogenic fault on co-seismic landslides. In addition, the area affected by landslides related to the earthquake is compared to the relationship of "area affected by landslides vs. earthquake magnitude" constructed based on earthquakes worldwide, and it is shown that the area affected by landslides triggered by the Minxian-Zhangxian earthquake is larger than that of almost all other events with similar magnitudes. (C) 2014 Elsevier Ltd. All rights reserved.
C1 [Xu, Chong; Xu, Xiwei; Min, Wei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Xu, Chong; Shyu, J. Bruce H.] Natl Taiwan Univ, Dept Geosci, Taipei 10764, Taiwan.
   [Zheng, Wenjun] China Earthquake Adm, Inst Geol, State Key Lab Earthquake Dynam, Beijing 100029, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; National
   Taiwan University; China Earthquake Administration; Institute of
   Geology, CEA
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, 1 Huayanli,POB 9803, Beijing 100029, Peoples R China.
EM xc11111111@126.com
TC 120
Z9 140
PU PERGAMON-ELSEVIER SCIENCE LTD
PI OXFORD
PA THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
SN 1367-9120
EI 1878-5786
PD OCT 1
PY 2014
VL 92
SI SI
BP 125
EP 142
DI 10.1016/j.jseaes.2014.06.014
SC Geology
UT WOS:000341554100008
ER

PT J
AU Zhu, AX
   Miao, YM
   Wang, RX
   Zhu, TX
   Deng, YC
   Liu, JZ
   Yang, L
   Qin, CZ
   Hong, HY
AF Zhu, A-Xing
   Miao, Yamin
   Wang, Rongxun
   Zhu, Tongxin
   Deng, Yongcui
   Liu, Junzhi
   Yang, Lin
   Qin, Cheng-Zhi
   Hong, Haoyuan
TI A comparative study of an expert knowledge-based model and two
   data-driven models for landslide susceptibility mapping
SO CATENA
DT Article
DE Data-driven models; Expert knowledge-based model; Landslide
   susceptibility; GIS; Logistic regression; Artificial neural network
ID ARTIFICIAL NEURAL-NETWORKS; 3 GORGES AREA; SPATIAL PREDICTION MODELS;
   LOGISTIC-REGRESSION; FUZZY-LOGIC; WENCHUAN EARTHQUAKE; SAMPLING
   STRATEGIES; GIS TECHNOLOGY; YANGTZE-RIVER; HAZARD
AB In this study, an expert knowledge-based model, a logistic regression model, and an artificial neural network model were compared for their accuracy and portability in landslide susceptibility mapping. Two study areas (the Kaixian and the Three Gorges areas in China) were selected for this comparison based on their well-known, high landslide hazard. To evaluate the performance of these models and to minimize the impact of the particularity of a study area on model performance, cross-applications of three models between the two study areas were conducted. When the Kaixian area was used as a model development area, prediction accuracy for the expert knowledge-based model, the logistic regression model, and the artificial neural network model were 71.5%, 81.0% and 100.0%, respectively. The high prediction accuracy of the two data-driven models were expected because the observed landslide occurrence used in training the models were also used to validate their respective performance, while the expert knowledge-based model did not use these observations for training. The perfect accuracy for the neural network model can also be attributed to its over-prediction of the susceptibility. When breaking the susceptibility into four classes: very low susceptibility (0-0.25), low susceptibility (0.25-0.5), high susceptibility (0.5-0.75), and very high susceptibility (0.75-1), the observed landslide density at the very high susceptibility level is 0.303/km(2), 0.212/km(2), and 0.195/km(2) for the expert knowledge-based model, the logistic regression model, and the artificial neural network model, respectively. This suggests that the expert knowledge-based model was much better than the other two data-driven models at evaluating landslide occurrence in very high susceptibility areas. When the three models developed in the Kaixian area were applied in the Three Gorges area without any changes, their prediction accuracy dropped to 44.8% for the logistic regression model and 81.6% for the artificial neural network model, while the expert knowledge-based model maintained its initial accuracy level of 82.8%. The landslide density for the very high susceptibility areas in the Three Georges area was 0.275/km(2), 0.082/km(2), and 0.060/Km(2) for the expert knowledge-based model, the logistic model, and the artificial neural network model, respectively. These results indicate that the expert knowledge-based model is more effective at predicting areas with very high susceptibility. When the Three Gorges area was used as a model development area and the Kaixian area was used as the model application area, similar results were obtained Results from the two experiments show that the performance of the logistic regression model and artificial neural network model is not as stable as the expert knowledge-based model when transferred to a new area. This suggests that the expert knowledge-based model is more suitable for landslide susceptibility mapping over large areas.
C1 [Zhu, A-Xing; Miao, Yamin; Deng, Yongcui; Liu, Junzhi; Hong, Haoyuan] Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Hong, Haoyuan] State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhu, A-Xing; Miao, Yamin; Liu, Junzhi; Hong, Haoyuan] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China.
   [Zhu, A-Xing] Univ Wisconsin, Dept Geog, Madison, WI 53706 USA.
   [Wang, Rongxun; Zhu, Tongxin] Univ Minnesota, Dept Geog, Duluth, MN 55812 USA.
   [Yang, Lin; Qin, Cheng-Zhi] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China.
C3 Nanjing Normal University; Nanjing Normal University; University of
   Wisconsin System; University of Wisconsin Madison; University of
   Minnesota System; University of Minnesota Duluth; Chinese Academy of
   Sciences; Institute of Geographic Sciences & Natural Resources Research,
   CAS
RP Liu, JZ (corresponding author), Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China.; Hong, HY (corresponding author), State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Jiangsu, Peoples R China.
EM liujunzhi@njnu.edu.cn; hong_haoyuan@outlook.com
TC 101
Z9 113
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0341-8162
EI 1872-6887
PD JUL
PY 2018
VL 166
BP 317
EP 327
DI 10.1016/j.catena.2018.04.003
SC Geology; Agriculture; Water Resources
UT WOS:000434238800031
ER

PT J
AU Shao, XY
   Ma, SY
   Xu, C
   Zhou, Q
AF Shao, Xiaoyi
   Ma, Siyuan
   Xu, Chong
   Zhou, Qing
TI Effects of sampling intensity and non-slide/slide sample ratio on the
   occurrence probability of coseismic landslides
SO GEOMORPHOLOGY
DT Article
DE Lushan earthquake; Coseismic landslides; Logistic regression (LR) model;
   Sampling intensity; Non-slide/slide sample ratio
ID GEOSPATIAL LIQUEFACTION MODEL; REAL-TIME PREDICTION; WENCHUAN
   EARTHQUAKE; SPATIAL-DISTRIBUTION; LUSHAN EARTHQUAKE; SUSCEPTIBILITY;
   CHINA; GIS; ACCURACY; SICHUAN
AB Due to the influence of sampling strategy, the resulting probability of landslides using logistic regression (LR) can deviate considerably from the actual areal percentage of coseismic landslides. This study used the landslides data of the 2013 Lushan, China earthquake to further address this issue. Based on the Bayesian theory, we proposed a sampling method that selects the sliding samples and non-sliding samples based on the ratio of the stable area to the landslide area. Using this method, we tested 15 values of sampling intensities (1, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 200, 500, 1000, and 2000 grid cell km(-2)) and 12 values of non-sliding/sliding sample ratios (1, 5, 10, 25, 50, 75, 100, 125, 150, 175, 200, and 228) for the analysis of the LR model. Ten factors were considered in this analysis, including elevation, slope gradient, aspect, the topographic wetness index (TWI), peak ground acceleration (PGA), distance to the epicenter, distance to rivers, distance to roads, lithology, and annual precipitation. In terms of these 15 sampling intensities and 12 sample ratios, the samples were trained 200 and 150 times, respectively using the LR model, yielding 4800 predicted pictures of potential landslides in the study area. The results show that different sampling intensities have a certain effect on the total predicted landslide area - the higher the intensity of the samples, the more stable the prediction results. Especially when the sampling intensity reaches 1000 grid cell km(-2), the total area of the predictive model is about 17.1 km(2), which is close to the real area with 17.16 km(2), with a difference within 2%. Different ratios of non-slide/slide sample greatly affect the occurrence probability of coseismic landslides. When the ratio is 1:1, the predicted landslide area (A(p)) is between 1265 and 1290 km(2), with an average of 1280 km(2), which is 75 times the actual landslide area. The functional relationship between the ratio of predicted area to real area (R-pa) and the ratio of non-sliding samples to sliding samples (R-ns) is R-pa = 99.156R(ns)(-0.826). It implies that the non-slide/slide sample ratio determined by the ratio of stable area to the landslide area permits us to construct real probability models to predict the areal percentages of landslides, and based on such models, the predicted probability is largely consistent with the actual areal percentage of coseismic landslides. (C) 2020 Elsevier B.V. All rights reserved.
C1 [Shao, Xiaoyi; Ma, Siyuan; Zhou, Qing] China Earthquake Adm, Key Lab Act Tecton & Volcano, Inst Geol, Beijing 100029, Peoples R China.
   [Xu, Chong] China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
C3 China Earthquake Administration; Institute of Geology, CEA; China
   Earthquake Administration
RP Xu, C (corresponding author), China Earthquake Adm, Inst Crustal Dynam, Beijing 100085, Peoples R China.
EM xc11111111@126.com
TC 53
Z9 60
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD AUG 15
PY 2020
VL 363
AR 107222
DI 10.1016/j.geomorph.2020.107222
SC Physical Geography; Geology
UT WOS:000538796700007
ER

PT J
AU Yuan, XY
   Liu, C
   Nie, RH
   Yang, ZL
   Li, WL
   Dai, XA
   Cheng, JY
   Zhang, JM
   Ma, L
   Fu, X
   Tang, M
   Xu, YN
   Lu, H
AF Yuan, Xinyue
   Liu, Chao
   Nie, Ruihua
   Yang, Zhengli
   Li, Weile
   Dai, Xiaoai
   Cheng, Junying
   Zhang, Junmin
   Ma, Lei
   Fu, Xiao
   Tang, Min
   Xu, Yina
   Lu, Heng
TI A Comparative Analysis of Certainty Factor-Based Machine Learning
   Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan
   County, China
SO REMOTE SENSING
DT Article
DE collapse and landslide disaster; susceptibility evaluation; machine
   learning model; certainty factor; Wenchuan county
ID ARTIFICIAL NEURAL-NETWORK; 3 GORGES RESERVOIR; LOGISTIC-REGRESSION; GIS;
   EARTHQUAKE; MODEL; PROVINCE; REGION; SLOPE; AREA
AB After the "5 center dot 12" Wenchuan earthquake in 2008, collapses and landslides have occurred continuously, resulting in the accumulation of a large quantity of loose sediment on slopes or in gullies, providing rich material source reserves for the occurrence of debris flow and flash flood disasters. Therefore, it is of great significance to build a collapse and landslide susceptibility evaluation model in Wenchuan County for local disaster prevention and mitigation. Taking Wenchuan County as the research object and according to the data of 1081 historical collapse and landslide disaster points, as well as the natural environment, this paper first selects six categories of environmental factors (13 environmental factors in total) including topography (slope, aspect, curvature, terrain relief, TWI), geological structure (lithology, soil type, distance to fault), meteorology and hydrology (rainfall, distance to river), seismic impact (PGA), ecological impact (NDVI), and impact of human activity (land use). It then builds three single models (LR, SVM, RF) and three CF-based hybrid models (CF-LR, CF-SVM, CF-RF), and makes a comparative analysis of the accuracy and reliability of the models, thereby obtaining the optimal model in the research area. Finally, this study discusses the contribution of environmental factors to the collapse and the landslide susceptibility prediction of the optimal model. The research results show that (1) the areas prone to extremely high collapse and landslide predicted by the six models (LR, CF-LR, SVM, CF-SVM, RF and CF-RF) have an area of 730.595 km(2), 377.521 km(2), 361.772 km(2), 372.979 km(2), 318.631 km(2), and 306.51 km(2), respectively, and the frequency ratio precision of collapses and landslides is 0.916, 0.938, 0.955, 0.956, 0.972, and 0.984, respectively; (2) the ranking of the comprehensive index based on the confusion matrix is CF-RF>RF>CF-SVM>CF-LR>SVM>LR and the ranking of the AUC value is CF-RF>RF>CF-SVM>CF-LR>SVM>LR. To a certain extent, the coupling models can improve precision more over the single models. The CF-RF model ranks the highest in all indexes, with a POA value of 257.046 and an AUC value of 0.946; (3) rainfall, soil type, and distance to river are the three most important environmental factors, accounting for 24.216%, 22.309%, and 11.41%, respectively. Therefore, it is necessary to strengthen the monitoring of mountains and rock masses close to rivers in case of rainstorms in Wenchuan county and other similar areas prone to post-earthquake landslides.
C1 [Yuan, Xinyue; Liu, Chao; Nie, Ruihua; Yang, Zhengli; Lu, Heng] Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.
   [Yuan, Xinyue; Liu, Chao; Nie, Ruihua; Yang, Zhengli; Lu, Heng] Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
   [Li, Weile] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Peoples R China.
   [Dai, Xiaoai; Cheng, Junying; Zhang, Junmin] Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China.
   [Ma, Lei] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing 210093, Peoples R China.
   [Fu, Xiao] Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 611756, Peoples R China.
   [Tang, Min; Xu, Yina] China Railway Eryuan Engn Grp Co Ltd, Chengdu 610031, Peoples R China.
C3 Sichuan University; Sichuan University; Chengdu University of
   Technology; Chengdu University of Technology; Nanjing University;
   Southwest Jiaotong University
RP Lu, H (corresponding author), Sichuan Univ, State Key Lab Hydraul & Mt River Engn, Chengdu 610065, Peoples R China.; Lu, H (corresponding author), Sichuan Univ, Coll Hydraul & Hydroelect Engn, Chengdu 610065, Peoples R China.
EM yuanxinyue@stu.scu.edu.cn; liuchao@scu.edu.cn; nierh@scu.edu.cn;
   yangzhengli@scu.edu.cn; liweile08@mail.cdutedu.cn;
   daixiaoa@mail.cdut.edu.cn; chunjunying@stu.cdut.edu.cn;
   zhangjunmin@stu.cdut.edu.cn; maleinju@nju.edu.cn;
   fuxiao@my.swjtu.edu.cn; tangmin05@ey.crec.cn; xuyn@ey.crec.cn;
   luheng@scu.edu.cn
TC 48
Z9 53
PU MDPI
PI BASEL
PA MDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND
EI 2072-4292
PD JUL
PY 2022
VL 14
IS 14
AR 3259
DI 10.3390/rs14143259
SC Environmental Sciences & Ecology; Geology; Remote Sensing; Imaging
   Science & Photographic Technology
UT WOS:000831707000001
ER

PT J
AU Xu, C
   Xu, XW
   Pourghasemi, HR
   Pradhan, B
   Iqbal, J
AF Xu, Chong
   Xu, Xiwei
   Pourghasemi, Hamid Reza
   Pradhan, Biswajeet
   Iqbal, Javed
TI Volume, gravitational potential energy reduction, and regional centroid
   position change in the wake of landslides triggered by the 14 April 2010
   Yushu earthquake of China
SO ARABIAN JOURNAL OF GEOSCIENCES
DT Article
DE Landslides; The Yushu earthquake; Gravitational potential energy
   reduction; Landscape change; Regional centroid position
ID 2008 WENCHUAN EARTHQUAKE; SUPPORT VECTOR MACHINE; CENTRAL SOUTHERN ALPS;
   PREFECTURE EARTHQUAKE; SUBMARINE LANDSLIDES; STATISTICAL-ANALYSIS;
   GOLESTAN PROVINCE; SIZE DISTRIBUTION; SUSCEPTIBILITY; GIS
AB In recent years, earthquake-triggered landslides have attracted much attention in the scientific community as a main form of seismic ground response. However, little work has been performed concerning the volume and gravitational potential energy reduction of earthquake-triggered landslides and their severe effect on landscape change. This paper presents a quantitative study on the volume, gravitational potential energy reduction, and change in landscape related to landslides triggered by the 14 April 2010 Yushu earthquake. At least 2,036 landslides were triggered by the earthquake. A total landslide scar area of 1.194 km(2) was delineated from the visual interpretation of aerial photographs and satellite images and was supported by selected field checking. In this paper, we focus on possible answers to the following five questions: (1) What is the total volume of the 2,036 landslides triggered by the earthquake, and what is the average landslide erosion thickness in the earthquake-stricken area? (2) What are the elevations of all landslide materials in relation to pre- and post-landsliding? (3) How much was the gravitational potential energy reduced due to the sliding of these landslide materials? (4) What is the average elevation change caused by these landslides in the study area? (5) What is the vertical change of the regional centroid position above sea level, as induced by these landslides? It is concluded that the total volume of the 2,036 landslides is 2.9399 x 10(6) m(3). The landslide erosion thickness throughout the study area is 2.02 mm. The materials of these landslides moved from an elevation of 4,145.243 to 4,104.697 m, resulting in a decreased distance of 40.546 m. The gravitational potential energy reduction related to the landslides triggered by the earthquake was 2.9213 x 10(12) J. The average regional elevation of the study area is 4,427.160 m, a value consistent with the assumption that the accumulated materials were remained in situ. This value changes from 4,427.160 to 4,427.158 m with all landslide materials moved out of the study area, resulting in a reduction in elevation of 2 mm. Based on the assumption that all landslide materials moved out of the study area, the elevations of the centroid of the study area's crust changed from 2,222.45967 to 2,222.45867 m, which means the centroid value decreased by 1 mm. This value is 0.001 mm when assuming that the materials were remained in situ, which is almost negligible, compared with the situation of "all landslide materials moved out of the study area.".
C1 [Xu, Chong; Xu, Xiwei] China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, Beijing 100029, Peoples R China.
   [Pourghasemi, Hamid Reza] TMU, Coll Nat Resources & Marine Sci, Nur, Iran.
   [Pradhan, Biswajeet] Univ Putra Malaysia, Dept Civil Engn, Fac Engn, Spatial & Numer Modeling Res Grp, Serdang 43400, Selangor Darul, Malaysia.
   [Iqbal, Javed] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China.
   [Iqbal, Javed] COMSATS Inst Informat Technol, Dept Earth Sci, Abbottabad, Pakistan.
C3 China Earthquake Administration; Institute of Geology, CEA; Universiti
   Putra Malaysia; Chinese Academy of Sciences; Institute of Geology &
   Geophysics, CAS; COMSATS University Islamabad (CUI)
RP Xu, C (corresponding author), China Earthquake Adm, Inst Geol, Key Lab Act Tecton & Volcano, 1 Huayanli,POB 9803, Beijing 100029, Peoples R China.
EM xc11111111@126.com
TC 12
Z9 13
PU SPRINGER HEIDELBERG
PI HEIDELBERG
PA TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY
SN 1866-7511
EI 1866-7538
PD JUN
PY 2014
VL 7
IS 6
BP 2129
EP 2138
DI 10.1007/s12517-013-1020-4
SC Geology
UT WOS:000336440600003
ER

PT J
AU Roering, JJ
   Mackey, BH
   Handwerger, AL
   Booth, AM
   Schmidt, DA
   Bennett, GL
   Cerovski-Darriau, C
AF Roering, Joshua J.
   Mackey, Benjamin H.
   Handwerger, Alexander L.
   Booth, Adam M.
   Schmidt, David A.
   Bennett, Georgina L.
   Cerovski-Darriau, Corina
TI Beyond the angle of repose: A review and synthesis of landslide
   processes in response to rapid uplift, Eel River, Northern California
SO GEOMORPHOLOGY
DT Review
DE Landslide; Lidar; Landscape evolution; Insar; Erosion; Suspended
   sediment
ID MENDOCINO TRIPLE JUNCTION; 2008 WENCHUAN EARTHQUAKE; PORE-PRESSURE
   DIFFUSION; MAM-TOR LANDSLIDE; THRESHOLD HILLSLOPES; LANDSCAPE EVOLUTION;
   EROSION RATES; SEDIMENT FLUX; SLOPE-FAILURE; FUNCTIONAL-RELATIONSHIPS
AB In mountainous settings, increases in rock uplift are often followed by a commensurate uptick in denudation as rivers incise and steepen hillslopes, making them increasingly prone to landsliding as slope angles approach a limiting value. For decades, the threshold slope model has been invoiced to account for landslide-driven increases in sediment flux that limit topographic relief, but the manner by which slope failures organize themselves spatially and temporally in order for erosion to keep pace with rock uplift has not been well documented. Here, we review past work and present new findings from remote sensing, cosmogenic radionuclides, suspended sediment records, and airborne lidar data, to decipher patterns of landslide activity and geomorphic processes related to rapid uplift along the northward-migrating Mendocino Triple Junction in Northern California. From historical air photos and airborne lidar, we estimated the velocity and sediment flux associated with active, slow-moving landslides (or earthflows) in the melange- and argillite-dominated Eel River watershed using the downslope displacement of surface markers such as trees and shrubs. Although active landslides that directly convey sediment into the channel network account for only 7% of the landscape surface, their sediment flux amounts to more than 50% of the suspended load recorded at downstream sediment gaging stations. These active slides tend to exhibit seasonal variations in velocity as satellite-based interferometry has demonstrated that rapid acceleration commences within 1 to 2 months of the onset of autumn rainfall events before slower deceleration ensues in the spring and summer months. Curiously, this seasonal velocity pattern does not appear to vary with landslide size, suggesting that complex hydrologic mechanical feedbacks (rather than 1-D pore pressure diffusion) may govern slide dynamics. A new analysis of 14 yrs of discharge and sediment concentration data for the Eel River indicates that the characteristic mid-winter timing of earthflow acceleration corresponds with increased suspended concentration values, suggesting that the seasonal onset of landslide motion each year may be reflected in the export of sediments to the continental margin. The vast majority of active slides exhibit gullied surfaces and the gully networks, which are also seasonally active, may facilitate sediment export although the proportion of material produced by this pathway is poorly known. Along Kekawaka Creek, a prominent tributary to the Eel River, new analyses of catchment-averaged erosion rates derived from cosmogenic radionuclides reveal rapid erosion (0.76 mm/yr) below a prominent knickpoint and slower erosion (0.29 mm/yr) upstream. Such knickpoints are frequently observed in Eel tributaries and are usually comprised of massive (>10 m) interlocking resistant boulders that likely persist in the landscape for long periods of time (>10(5)yr). Upstream of these knickpoints, active landslides tend to be less frequent and average slope angles are slightly gentler than in downstream areas, which indicates that landslide density and average slope angle appear to increase with erosion rate. Lastly, we synthesize evidence for the role of large, catastrophic landslides in regulating sediment flux and landscape form. The emergence of resistant blocks within the melange bedrock has promoted large catastrophic slides that have dammed the Eel River and perhaps generated outburst events in the past.
   The frequency and impact of these landslide dams likely depend on the spatial and size distributions of resistant blocks relative to the width and drainage area of adjacent valley networks. Overall, our findings demonstrate that landslides within the Eel River catchment do not occur randomly, but instead exhibit spatial and temporal patterns related to baselevel lowering, climate forcing, and lithologic variations. Combined with recent landscape evolution models that incorporate landslides, these results provide predictive capability for estimating erosion rates and managing hazards in mountainous regions. (C) 2015 Elsevier B.V. All rights reserved.
C1 [Roering, Joshua J.; Handwerger, Alexander L.; Bennett, Georgina L.; Cerovski-Darriau, Corina] Univ Oregon, Dept Geol Sci, Eugene, OR 97403 USA.
   [Mackey, Benjamin H.] Univ Canterbury, Dept Geol Sci, Christchurch 8140, New Zealand.
   [Booth, Adam M.] Portland State Univ, Dept Geol, Portland, OR 97207 USA.
   [Schmidt, David A.] Univ Washington, Dept Earth & Space Sci, Seattle, WA 98195 USA.
C3 University of Oregon; University of Canterbury; Portland State
   University; University of Washington; University of Washington Seattle
RP Roering, JJ (corresponding author), Univ Oregon, Dept Geol Sci, Eugene, OR 97403 USA.
EM jroering@uoregon.edu
TC 68
Z9 84
PU ELSEVIER
PI AMSTERDAM
PA RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
SN 0169-555X
EI 1872-695X
PD MAY 1
PY 2015
VL 236
BP 109
EP 131
DI 10.1016/j.geomorph.2015.02.013
SC Physical Geography; Geology
UT WOS:000352677000009
ER

PT J
AU Boncio, P
   Liberi, F
   Caldarella, M
   Nurminen, FC
AF Boncio, Paolo
   Liberi, Francesca
   Caldarella, Martina
   Nurminen, Fiia-Charlotta
TI Width of surface rupture zone for thrust earthquakes: implications for
   earthquake fault zoning
SO NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
DT Article
ID 1999 CHI-CHI; 7.9 WENCHUAN EARTHQUAKE; CHELUNGPU FAULT; COSEISMIC
   DISPLACEMENT; ARMENIAN EARTHQUAKE; KASHMIR EARTHQUAKE; TAIWAN
   EARTHQUAKE; HAZARD ANALYSIS; WESTERN TAIWAN; DEFORMATION
AB The criteria for zoning the surface fault rupture hazard (SFRH) along thrust faults are defined by analysing the characteristics of the areas of coseismic surface faulting in thrust earthquakes. Normal and strike-slip faults have been deeply studied by other authors concerning the SFRH, while thrust faults have not been studied with comparable attention.
   Surface faulting data were compiled for 11 well-studied historic thrust earthquakes occurred globally (5.4 <= M <= 7.9). Several different types of coseismic fault scarps characterize the analysed earthquakes, depending on the topography, fault geometry and near-surface materials (simple and hanging wall collapse scarps, pressure ridges, fold scarps and thrust or pressure ridges with bending-moment or flexural-slip fault ruptures due to large-scale folding). For all the earthquakes, the distance of distributed ruptures from the principal fault rupture (r) and the width of the rupture zone (WRZ) were compiled directly from the literature or measured systematically in GIS-georeferenced published maps.
   Overall, surface ruptures can occur up to large distances from the main fault (similar to 2150m on the footwall and similar to 3100m on the hanging wall). Most of the ruptures occur on the hanging wall, preferentially in the vicinity of the principal fault trace (> similar to 50% at distances < similar to 250 m). The widest WRZ are recorded where sympathetic slip (Sy) on distant faults occurs, and/or where bending-moment (B-M) or flexural-slip (F-S) fault ruptures, associated with large-scale folds (hundreds of metres to kilometres in wavelength), are present.
   A positive relation between the earthquake magnitude and the total WRZ is evident, while a clear correlation between the vertical displacement on the principal fault and the total WRZ is not found.
   The distribution of surface ruptures is fitted with probability density functions, in order to define a criterion to remove outliers (e.g. 90% probability of the cumulative distribution function) and define the zone where the likelihood of having surface ruptures is the highest. This might help in sizing the zones of SFRH during seismic microzonation (SM) mapping.
   In order to shape zones of SFRH, a very detailed earthquake geologic study of the fault is necessary (the highest level of SM, i.e. Level 3 SM according to Italian guidelines). In the absence of such a very detailed study (basic SM, i.e. Level 1 SM of Italian guidelines) a width of similar to 840m (90% probability from "simple thrust" database of distributed ruptures, excluding B-M, F-S and Sy fault ruptures) is suggested to be sufficiently precautionary. For more detailed SM, where the fault is carefully mapped, one must consider that the highest SFRH is concentrated in a narrow zone, similar to 60m in width, that should be considered as a fault avoidance zone (more than one-third of the distributed ruptures are expected to occur within this zone).
   The fault rupture hazard zones should be asymmetric compared to the trace of the principal fault. The average footwall to hanging wall ratio (FW : HW) is close to 1 : 2 in all analysed cases.
   These criteria are applicable to "simple thrust" faults, without considering possible B-M or F-S fault ruptures due to large-scale folding, and without considering sympathetic slip on distant faults. Areas potentially susceptible to B-M or F-S fault ruptures should have their own zones of fault rupture hazard that can be defined by detailed knowledge of the structural setting of the area (shape, wavelength, tightness and lithology of the thrust-related large-scale folds) and by geomorphic evidence of past secondary faulting. Distant active faults, potentially susceptible to sympathetic triggering, should be zoned as separate principal faults.
   The entire database of distributed ruptures (including BM, F-S and Sy fault ruptures) can be useful in poorly known areas, in order to assess the extent of the area within which potential sources of fault displacement hazard can be present.
   The results from this study and the database made available in the Supplement can be used for improving the attenuation relationships for distributed faulting, with possible applications in probabilistic studies of fault displacement hazard.
C1 [Boncio, Paolo; Liberi, Francesca; Caldarella, Martina] G DAnnunzio Univ Chieti Pescara, CRUST, DiSPuTer, I-66100 Chieti, Italy.
   [Nurminen, Fiia-Charlotta] Univ Oulu, Oulu Min Sch, Oulu 90014, Finland.
C3 G d'Annunzio University of Chieti-Pescara; University of Oulu
RP Boncio, P (corresponding author), G DAnnunzio Univ Chieti Pescara, CRUST, DiSPuTer, I-66100 Chieti, Italy.
EM paolo.boncio@unich.it
TC 48
Z9 56
PU COPERNICUS GESELLSCHAFT MBH
PI GOTTINGEN
PA BAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY
SN 1561-8633
PD JAN 19
PY 2018
VL 18
IS 1
BP 241
EP 256
DI 10.5194/nhess-18-241-2018
SC Geology; Meteorology & Atmospheric Sciences; Water Resources
UT WOS:000423023200001
ER

EF