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https://doi.org/10.5194/nhess-24-2597-2024
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https://doi.org/10.5194/nhess-24-2597-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Jul 2024
Research article |
| 26 Jul 2024
| 26 Jul 2024
Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults
National Institute of Oceanography and Applied Geophysics (OGS), Udine, Italy
Stefano Parolai
Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
National Institute of Oceanography and Applied Geophysics (OGS), Udine, Italy
Natalya Silacheva
Institute of Seismology, Ministry of Emergency Situations (MoES) of the Republic of Kazakhstan, Almaty, Kazakhstan
Anatoly Ischuk
Institute of Geology, Earthquake Engineering and Seismology, National Academy of Sciences of Tajikistan, Dushanbe, Tajikistan
Kanatbek Abdrakhmatov
Institute of Seismology, National Academy of Sciences of the Kyrgyz Republic, Bishkek, Kyrgyz Republic
Zainalobudin Kobuliev
Institute of Water Problems, Hydropower and Ecology (IWPHE), Academy of Sciences of the Republic of Tajikistan, Dushanbe, Tajikistan
Vakhitkhan Ismailov
Institute of Seismology of the Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
Roman Ibragimov
Institute of Seismology of the Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan
Japar Karaev
United Nations Development Programme (UNDP) Representative Office in Turkmenistan, Ashgabat, Turkmenistan
Paola Ceresa
Risk, Engineering + Development (RED), Pavia, Italy
Paolo Bazzurro
Risk, Engineering + Development (RED), Pavia, Italy
University School for Advanced Studies (IUSS), Pavia, Italy
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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.
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.
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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.
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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.
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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.
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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.
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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.
Solmaz Mohadjer, Sebastian G. Mutz, Matthew Kemp, Sophie J. Gill, Anatoly Ischuk, and Todd A. Ehlers
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Lack of access to science-based natural hazards information impedes the effectiveness of school-based disaster risk reduction education. To address this challenge, we created and classroom tested a series of earthquake education videos that were co-taught by school teachers and Earth scientists in the UK and Tajikistan. Comparison of the results reveals significant differences between students' views on the Earth's interior and why and where earthquakes occur.
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Short summary
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.
As part of the Strengthening Financial Resilience and Accelerating Risk Reduction in Central...
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