Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-3851-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-24-3851-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Nov 2024
Research article |
| 11 Nov 2024
| 11 Nov 2024
Development of a regionally consistent and fully probabilistic earthquake risk model for Central Asia
Mario A. Salgado-Gálvez
CORRESPONDING AUTHOR
ERN International, Mexico City, Mexico
Mario Ordaz
ERN International, Mexico City, Mexico
Instituto de Ingeniería, Universidad Nacional Autónoma de México, Mexico City, Mexico
Benjamín Huerta
ERN International, Mexico City, Mexico
Osvaldo Garay
ERN International, Mexico City, Mexico
Carlos Avelar
ERN International, Mexico City, Mexico
Ettore Fagà
RED Risk Engineering + Development, Pavia, Italy
Mohsen Kohrangi
RED Risk Engineering + Development, Pavia, Italy
Paola Ceresa
RED Risk Engineering + Development, Pavia, Italy
Georgios Triantafyllou
RED Risk Engineering + Development, Pavia, Italy
Ulugbek T. Begaliev
International University of Innovation Technologies, Bishkek, Kyrgyz Republic
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Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was developed under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, supported by the European Union, the World Bank, and the Global Facility for Disaster Reduction and Recovery. This paper outlines the preparation of the source model and presents key results of the probabilistic earthquake hazard analysis for the Central Asian countries.
Paola Ceresa, Gianbattista Bussi, Simona Denaro, Gabriele Coccia, Paolo Bazzurro, Mario Martina, Ettore Fagà, Carlos Avelar, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Zhanar Raimbekova, Kanatbek Abdrakhmatov, Sitora Mirzokhonova, Vakhitkhan Ismailov, and Vladimir Belikov
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A fully probabilistic flood risk assessment was carried out for five Central Asian countries to support regional and national risk financing and insurance applications. The paper presents the first high-resolution regional-scale transboundary flood risk assessment study in the area aiming to provide tools for decision-making.
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents to human losses, such as deaths, injuries, and displaced population.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, and Paolo Bazzurro
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As part of the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, funded by the European Union in collaboration with the World Bank and GFDRR, a regionally consistent probabilistic multi-hazard and multi-asset risk assessment has been developed. This paper describes the preparation of the input datasets (earthquake catalogue and active-fault database) required for the implementation of the probabilistic seismic hazard model.
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Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Emilio Berny, Carlos Avelar, Mario A. Salgado-Gálvez, and Mario Ordaz
Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, https://doi.org/10.5194/nhess-24-53-2024, 2024
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This paper presents a methodology to estimate the total emergency costs based on modelled damages for earthquakes and floods, together with the demographic and building characteristics of the study area. The methodology has been applied in five countries in central Asia, the first time that these estimates are made available for the study area and are intended to be useful for regional and local stakeholders and decision makers.
Antonella Peresan, Chiara Scaini, Sergey Tyagunov, and Paola Ceresa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-156, https://doi.org/10.5194/nhess-2023-156, 2023
Publication in NHESS not foreseen
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The experience collected during a capacity building experience in Central Asia is illustrated, which consisted in the organization of a series of training workshops devoted to the different components of risk assessment, focused on earthquakes, floods and selected landslide scenarios. The activity consisted of five country-based workshops on exposure assessment in each of the Countries of Central Asia, plus three regional scale thematic workshops on hazard, vulnerability and risk modelling.
Cited articles
Ahmad, N., Crowley, H., and Pinho, R.: Analytical fragility functions for reinforced concrete and masonry buildings and buildings aggregates of Euro-Mediterranean Regions – UPAV methodology, Internal Report, Syner-G Project, 2011.
Berny, E., Avelar, C., Salgado-Gálvez, M. A., and Ordaz, M.: Estimating emergency costs for earthquakes and floods in Central Asia based on modelled losses, Nat. Hazards Earth Syst. Sci., 24, 53–62, https://doi.org/10.5194/nhess-24-53-2024, 2024.
CAC-DRMI: Risk assessment for Central Asia and Caucasus: desk study review, https://www.unisdr.org/files/11641_CentralAsiaCaucasusDRManagementInit.pdf (last access: 11 November 2023), 2009.
Cardona, O. D., Ordaz, M., Mora, M., Salgado-Gálvez, M. A., Bernal, G. A., Zuloaga, D., Marulanda, M. C., Yamín, L. E., and González, D.: Global risk assessment: a fully probabilistic seismic and tropical cyclone wind risk assessment, Int. J. Disast. Risk Reduct., 10, 461–476, 2014.
Coccia, G., Ceresa, P., Bussi, G., Denaro, S., Bazzurro, P., Martina, M., Fagà, E., Avelar, C., Ordaz, M., Huerta, B., Garay, O., Raimbekova, Z., Abdrakhmatov, K., Mirzokhonova, S., Ismailov, V., and Belikov, V.: Large-scale flood risk assessment in data scarce areas: an application to Central Asia, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-157, in review, 2023.
ERN – Evaluación de Riesgos Naturales: R-CAPRA, Program for probabilistic and multi-hazard risk assessment, Evaluación de Riesgos Naturales, Mexico City, Mexico, 2022.
GFDRR: Europe and Central Asia Country Risk Profiles for Floods and Earthquakes, https://documents1.worldbank.org/curated/en/958801481798204368/pdf/111015-REVISED-WP-ECA-Country-risk-profiles-PUBLIC.pdf (last access: 11 November 2023), 2016.
Jaimes, M. A., Reinoso, E., Ordaz, M., Huerta, B., Silva, R., Mendoza, E., and Rodríguez, J.C.: A new approach to probabilistic earthquake-induced tsunami risk assessment, Ocean Coast Manage., 119, 68–75, 2016.
JICA: The Study on Earthquake Disaster Risk Management for Almaty City in the Republic of Kazakhstan, https://openjicareport.jica.go.jp/pdf/11961752.pdf (last access: 15 August 2023), 2009.
Karantoni, T., Lyrantzaki, F., Tsionis, G., and Fardi, M. N.: Analytical fragility functions for masonry buildings and building aggregates, UPAT Methodology, Syner-G Project 2009/2012, 2011.
Kircher, C. A. and McCann, M. W.: Appendix A: development of seismic fragility curves for sixteen types of structures common to cities of the Mississippi Valley Region. Jack Benjamin and Associates Inc., Mountain View, California, USA, 1983.
Kohrangi, M., Vamvatsikos, D., and Bazzurro, P.: Implications of Intensity Measure Selection for Seismic Loss Assessment of 3-D Buildings, Earthq. Spectra, 32, 2167–2189, 2016.
Kostov, M., Vaseva, E., Kaneva, A., Koleva, N., Verbanov, G., Stefanov, D., Darvarova, E., Salakov, D., Simeonova, S., and Cristoskov, L: Application to Sofia, Report RISK-UE WP13, RISK-UE Project, 2004.
Lagomarsino, S. and Cattari, S.: Fragility Functions of Masonry Buildings, in: SYNER-G: Typology Definition and Fragility Functions for Physical Elements at Seismic Risk, Vol. 27, edited by: Pitilakis, K., Crowley, H., and Kaynia, A., GGEE – Geotechnical, Geological and Earthquake Engineering, 2014.
Luco, N. and Cornell, C. A.: Structure-Specific Scalar Intensity Measures for Near-Surface and Ordinary Earthquake Ground Motions, Earthq. Spectra, 23, 357–392, 2007.
Ordaz, M., Cardona, O. D., Salgado-Gálvez, M. A., Bernal, G. A., Singh, S. K. and Zuloaga, D.: Probabilistic seismic hazard assessment at global level, Int. J. Disast. Risk Reuct., 10, 419–427, 2014.
Ordaz, M., Salgado-Gálvez, M. A., Huerta, B., Rodríguez, J. C., and Avelar, C.: Considering the impacts of simultaneous perils, Disast. Prevent. Manage., 28, 823–837, 2019.
Ordaz, M., Salgado-Gálvez, M. A., and Giraldo, S.: R-CRISIS: 35 years of continuous developments and improvements for Probabilistic Seismic Hazard Analysis, Bull. Earthq. Eng., 19, 2797–2816, 2021.
Ordaz, M., Martinelli, F., Aguilar, A., Arboleda, J., Meletti, C. and D'Amico, V.: R-CRISIS, Program for computing seismic hazard, Instituto de Ingeniería, Universidad Nacional Autónoma de México, Mexico City, Mexico, http://www.r-crisis.com/ (last access: 18 July 2023), 2023.
Pielke, R. A., Rubiera, J., Landsea, C., Fernández, M. L., and Klein, R.: Hurricane Vulnerability in Latin America and The Caribbean: Normalized Damage and Loss Potentials, Nat. Hazards Rev., 4, 101, https://doi.org/10.1061/(ASCE)1527-6988(2003)4:3(101), 2003.
Poggi, V., Parolai, S., Silacheva, N., Ischuk, A., Abdrakhmatov, K., Kobuliev, Z., Ismailov, V., Ibragimov, R., Karayev, J., Ceresa, P., Santulin, M., and Bazzurro, P.: Development of a regional probabilistic seismic hazard model for Central Asia, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2023-132, in review, 2023.
Poggi, V., Parolai, S., Silacheva, N., Ischuk, A., Abdrakhmatov, K., Kobuliev, Z., Ismailov, V., Ibragimov, R., Karaev, J., Ceresa, P., and Bazzurro, P.: Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults, Nat. Hazards Earth Syst. Sci., 24, 2597–2613, https://doi.org/10.5194/nhess-24-2597-2024, 2024.
RED – Risk Engineering Development: Earthquake vulnerability for the regional consistent risk assessment for earthquakes and floods and selective landslide scenario analysis for strengthening financial resilience and accelerating risk reduction Central Asia, Technical Report Task 5a, 2023.
Salgado-Gálvez, M. A., Zuloaga, D., Bernal, G. A., Mora, M. G., and Cardona, O. D.: Fully probabilistic seismic risk assessment considering local site effects for the portfolio of buildings in Medellín, Colombia, Bull. Earthq. Eng., 12, 671–695, 2014.
Scaini, C., Tamaro, A., Adilkhan, B., Sarzhanov, S., Ismailov, V., Umaraliev, R., Safarov, M., Belikov, V., Karayev, J., and Faga, E.: A new regionally consistent exposure database for Central Asia: population and residential buildings, Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, 2024a.
Scaini, C., Tamaro, A., Adilkhan, B., Sarzhanov, S., Ergashev, Z., Umaraliev, R., Safarov, M., Belikov, V., Karayev, J., and Fagà, E.: A regional-scale approach to assessing non-residential building, transportation and cropland exposure in Central Asia, Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, 2024b.
UNISDR: Global Assessment Report on Disaster Risk Reduction 2015, UNISDR, Geneva, Switzerland, https://doi.org/10.18356/919076d9-en, 2015.
World Bank: Measuring Seismic Risk in Kyrgyz Republic. Seismic Risk Reduction Strategy, Scientific Technical Report 240323-00, https://documents1.worldbank.org/curated/fr/689251517034023 (last access: 15 August 2023), 2017.
World Bank Group: SFRARR Central Asia, https://datacatalog.worldbank.org/search?q=sfrarr central&start=0&sort= (last access: 7 November 2024), 2024.
Short summary
Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
Central Asia is prone to earthquake losses, which can heavily impact different types of assets....
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