Preprints
https://doi.org/10.5194/nhess-2023-137
https://doi.org/10.5194/nhess-2023-137
30 Aug 2023
 | 30 Aug 2023
Status: a revised version of this preprint is currently under review for the journal NHESS.

Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia

Mario A. Salgado-Gálvez, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, and Zacharias Fasoulakis

Abstract. A fully probabilistic earthquake risk model was developed for five countries in Central Asia, providing updated earthquake loss estimates with a higher level of details on all components with respect to previous studies in the region, besides having used a regionally consistent approach that on the one hand, allows direct comparisons at different disaggregation levels (e.g., Country and Oblast), and on the other hand, is aimed to facilitate initiating a policy dialogue regarding national and regional disaster risk financing and insurance applications. This earthquake risk model made use of a regional probabilistic seismic hazard analysis, as well as a comprehensive exposure database on which different types of assets and sectors were included, and for which two scenarios (years 2020 and 2080) were modelled. For each type of asset, a unique vulnerability function was derived and later used for the convolution with the hazard data that allowed estimating the loss exceedance curve, at different disaggregation levels, from where other risk metrics such as the average annual loss (AAL) and specific return period losses, were obtained. The regional earthquake AAL for the 2020 exposure scenario has been estimated in around $2 Bn, being Kyrgyzstan and Tajikistan the countries with the highest earthquake risk levels in the region. Besides the probabilistic earthquake risk results, as-if scenarios were modelled using a pseudo-deterministic approach to assess the human and economic losses for realistic and representative earthquakes for the main cities within earthquake prone regions in the five countries within the study area.

Mario A. Salgado-Gálvez, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, and Zacharias Fasoulakis

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-137', Anonymous Referee #1, 28 Sep 2023
  • RC2: 'Comment on nhess-2023-137', Anonymous Referee #2, 22 Dec 2023
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, and Zacharias Fasoulakis
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, and Zacharias Fasoulakis

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Latest update: 05 Mar 2024
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Short summary
Central Asia is prone to earthquake losses which can impact population and assets of different types. This paper presents the details of a probabilistic earthquake model which made use of a regionally consistent approach to assess the feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed to facilitate a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
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