the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Earthquake forecasting model for Albania: the area source model and the smoothing model
Abstract. We proposed earthquake forecasting models for Albania, one of the most seismogenic regions in Europe, to give an overview of seismic activity by implementing area source and smoothing approaches. The earthquake catalog was firstly declustered to remove foreshocks and aftershocks when they are within the derived distance- and time-windows of mainshocks. Considering catalog completeness, the events with M≥4.0 during the period of 1960–2006 were implemented for the forecast model learning. The forecasting is implemented into an area source model that includes 20 sub-regions and a smoothing model with a cell size of 0.2° x 0.2° to forecast the seismicity in Albania. Both models show high seismic rate along the western coastline and at the southern part of the study area, consistent with previous studies which discussed seismicity in the area and currently active regions. To further validate the forecast performance from the two models, we introduced the Molchan diagram to quantify the correlation between models and observations. The Molchan diagram suggests that both models are significantly better than a random distribution, confirming their forecasting abilities. Our results provide crucial information for subsequent research on the seismic activity, such as probabilistic seismic hazard assessment.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(8326 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
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- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-595', Anonymous Referee #1, 21 Sep 2022
The paper proposes two earthquake forecasting models for Albania, to give an overview of seismic activity in the country by implementing the area source and smoothed-gridded seismicity approaches. This subject has been also treated before from the local authors, in their efforts for a more accurate seismic hazard assessment of Albania. However, it is of interest because modelling of seismic activity rates is a very important step in the accurate assessment of the seismic hazard, and comparison of different outputs will allow a better characterization of seismicity rates.
From the methodological point of view the article is well written, and reflects accurately the scientific achievements in this subject. Catalog declustering (removing of foreshocks and aftershocks) using the Gardner and Knopoff (1974) algorithm is well done, because that is the most widely applied windowing method. Catalog declustering has enabled to identify the Poissonian rate of seismicity.Another important task to derive the inputs for hazard analysis is to determine the magnitude completeness threshold, Mc, of catalogue, i.e. the “lowest magnitude at which 100% of the events in a space-time volume are detected. Identification of the catalog completeness is correct and is in good agreement with the evaluations carried out before by local authors.
Considering catalog completeness, the events with M≥4.0 during the period of 1960 – 2006 were used for the forecast model learning. The forecasting is implemented into an area source model that includes 20 sub-regions and a smoothing model with a cell size of 0.2Ë x 0.2Ë to forecast the seismicity in Albania. Both models show high seismic rate along the western coast and at the southern part of the study area, that is consistent with previous studies carried out in the area.
To further validate the forecast performance from the two models, the authors has used the Molchan diagram to quantify the correlation between models and observations. The Molchan diagram suggests that both 20 models are significantly better than a random distribution, confirming their forecasting abilities.
Citation: https://doi.org/10.5194/egusphere-2022-595-RC1 -
CC1: 'Reply on RC1', Edlira Xhafaj, 11 Dec 2022
Thank you for revising our paper. We appreciate your positive evaluation and insightful focus on the importance of modeling the seismicity to have an accurate assessment of the seismic hazard. That’s the focus of our ongoing work regarding the seismicity in Albania based on an extended earthquake catalog and other seismogenic sources.
Citation: https://doi.org/10.5194/egusphere-2022-595-CC1 -
AC1: 'Reply on RC1', Chung-Han Chan, 19 Dec 2022
I, as the contact author, appreciate your positive feedbacks and insightful focus on the importance of our work on modeling the seismicity. The outcomes from this research would be beneficial to probabilistic seismic hazard assessment for Albania.
Citation: https://doi.org/10.5194/egusphere-2022-595-AC1
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CC1: 'Reply on RC1', Edlira Xhafaj, 11 Dec 2022
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RC2: 'Comment on egusphere-2022-595', Mohammad Mokhtari, 11 Dec 2022
The paper discusses a very important subject and they presented some good results. I do support the work and will recommend it be published.
Citation: https://doi.org/10.5194/egusphere-2022-595-RC2 -
CC2: 'Reply on RC2', Edlira Xhafaj, 12 Dec 2022
We would like to thank the reviewer for his time in evaluating our manuscript.
Citation: https://doi.org/10.5194/egusphere-2022-595-CC2 -
AC2: 'Reply on RC2', Chung-Han Chan, 19 Dec 2022
I, as the contact author, would like to thank the reviewer for his/her time in evaluating our manuscript and appreciate his/her positive feedbacks.Citation: https://doi.org/
10.5194/egusphere-2022-595-AC2
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CC2: 'Reply on RC2', Edlira Xhafaj, 12 Dec 2022
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2022-595', Anonymous Referee #1, 21 Sep 2022
The paper proposes two earthquake forecasting models for Albania, to give an overview of seismic activity in the country by implementing the area source and smoothed-gridded seismicity approaches. This subject has been also treated before from the local authors, in their efforts for a more accurate seismic hazard assessment of Albania. However, it is of interest because modelling of seismic activity rates is a very important step in the accurate assessment of the seismic hazard, and comparison of different outputs will allow a better characterization of seismicity rates.
From the methodological point of view the article is well written, and reflects accurately the scientific achievements in this subject. Catalog declustering (removing of foreshocks and aftershocks) using the Gardner and Knopoff (1974) algorithm is well done, because that is the most widely applied windowing method. Catalog declustering has enabled to identify the Poissonian rate of seismicity.Another important task to derive the inputs for hazard analysis is to determine the magnitude completeness threshold, Mc, of catalogue, i.e. the “lowest magnitude at which 100% of the events in a space-time volume are detected. Identification of the catalog completeness is correct and is in good agreement with the evaluations carried out before by local authors.
Considering catalog completeness, the events with M≥4.0 during the period of 1960 – 2006 were used for the forecast model learning. The forecasting is implemented into an area source model that includes 20 sub-regions and a smoothing model with a cell size of 0.2Ë x 0.2Ë to forecast the seismicity in Albania. Both models show high seismic rate along the western coast and at the southern part of the study area, that is consistent with previous studies carried out in the area.
To further validate the forecast performance from the two models, the authors has used the Molchan diagram to quantify the correlation between models and observations. The Molchan diagram suggests that both 20 models are significantly better than a random distribution, confirming their forecasting abilities.
Citation: https://doi.org/10.5194/egusphere-2022-595-RC1 -
CC1: 'Reply on RC1', Edlira Xhafaj, 11 Dec 2022
Thank you for revising our paper. We appreciate your positive evaluation and insightful focus on the importance of modeling the seismicity to have an accurate assessment of the seismic hazard. That’s the focus of our ongoing work regarding the seismicity in Albania based on an extended earthquake catalog and other seismogenic sources.
Citation: https://doi.org/10.5194/egusphere-2022-595-CC1 -
AC1: 'Reply on RC1', Chung-Han Chan, 19 Dec 2022
I, as the contact author, appreciate your positive feedbacks and insightful focus on the importance of our work on modeling the seismicity. The outcomes from this research would be beneficial to probabilistic seismic hazard assessment for Albania.
Citation: https://doi.org/10.5194/egusphere-2022-595-AC1
-
CC1: 'Reply on RC1', Edlira Xhafaj, 11 Dec 2022
-
RC2: 'Comment on egusphere-2022-595', Mohammad Mokhtari, 11 Dec 2022
The paper discusses a very important subject and they presented some good results. I do support the work and will recommend it be published.
Citation: https://doi.org/10.5194/egusphere-2022-595-RC2 -
CC2: 'Reply on RC2', Edlira Xhafaj, 12 Dec 2022
We would like to thank the reviewer for his time in evaluating our manuscript.
Citation: https://doi.org/10.5194/egusphere-2022-595-CC2 -
AC2: 'Reply on RC2', Chung-Han Chan, 19 Dec 2022
I, as the contact author, would like to thank the reviewer for his/her time in evaluating our manuscript and appreciate his/her positive feedbacks.Citation: https://doi.org/
10.5194/egusphere-2022-595-AC2
-
CC2: 'Reply on RC2', Edlira Xhafaj, 12 Dec 2022
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Edlira Xhafaj
Kuo-Fong Ma
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(8326 KB) - Metadata XML