the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Transformations in Exposure to Debris Flows in Post-Earthquake Sichuan, China
Abstract. Post-earthquake debris flows can exceed volumes of 1 x 106m3 and pose significant challenges to downslope recovery zones. These stochastic hazards form when intense rain remobilises coseismic landslide material. We investigate the relationship between changing exposure and hazard of post-2008 debris flows in three gullies in Sichuan province, China. These were selected based on the number of post-earthquake check dams – Cutou (2), Chediguan (2) and Xiaojia (none). Using high resolution satellite images, we developed a multitemporal building inventory from 2005 to 2019, comparing it to spatial distribution of previous debris flows and future modelled events. Post-earthquake urban development in Cutou and Chediguan increased exposure to a major debris flow in 2019 with inundation impacting 40 % and 7 % of surveyed structures respectively. We simulated future debris flow runouts using LAHARZ to investigate the role of check dams in mitigating three flow volumes – 104m3 (low), 105m3 (high) and 106m3 (extreme). Our simulations show check dams effectively mitigate exposure to low and high flow events but prove ineffective for extreme events with 59 % of buildings in Cutou, 22 % in Chediguan and 33 % in Xiaojia significantly affected. We verified our analyses through employing a statistical exposure model, adapted from a social vulnerability equation. Cutou's exposure increased by 64 % in 2019, Chediguan's by 52 % whilst only 2 % for Xiaojia in 2011, highlighting that extensive grey infrastructure correlates with higher exposure to extreme debris flows, but less so to smaller events. Our work suggests the presence of check dams increases the perception of exposure reduction downstream, however, ultimately produces a levee effect that raises exposure to large events.
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RC1: 'Comment on egusphere-2024-2277', Anonymous Referee #1, 10 Dec 2024
This paper focuses on the changes in debris flow risk exposure in Sichuan following the Wenchuan earthquake, presenting significant scientific value and practical applications. By utilizing multi-temporal satellite data, simulation tools, and an exposure model, the study thoroughly investigates the risk mitigation effectiveness of check dams and their potential "levee effect" on disaster exposure. The manuscript is almost well structured and written. However, some minor issues should be addressed before publication in NHESS.
Specific comments are as follows:
1. Lines 143-226: The methodology section should include the rationale for the selection of model parameters and provide a sensitivity analysis to enhance the credibility of the model results.
2. Could authors further explain how the "levee effect" influence exposure of large-scale debris flow events?
3. Expand the analysis of the Xiaojia area to explore the specific reasons for its low exposure changes, such as natural terrain barriers, land-use planning, or building quality.
4. The introduction and conclusion sections should better align with the research objectives.Citation: https://doi.org/10.5194/egusphere-2024-2277-RC1 -
RC2: 'Comment on egusphere-2024-2277', Omar F. Althuwaynee, 15 Dec 2024
The presented problem statement is interesting to shed more light on the significance of engineering solution, and the authors had the chance to drive forward using the available inventories. However, I found that the manuscript prepared in narrative style rather than bring more technical details about the processing and research modeling hypothesis.
For instance:
- Line 217 The facility value and related parameters selection were overlooked, and that increase the vagueness of application process in case the reader was interesting in similar application design.
- The justification of using -1 to +2 as unit of measure to be inserted and its quantification relationship to vulnerability value is missing.
- LAHARZ simulation, data processing, assumption and technical details were missing
- Fig.7 and the amount of buildings,types, and degree of vulnerability in term of economical or physical were missing
- Maps and figures are very simple and the conclusion was almost predicable, as I am still looking for scientific argument and proves that may increase the credibility of research contribution.
Citation: https://doi.org/10.5194/egusphere-2024-2277-RC2
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