Preprints
https://doi.org/10.5194/nhess-2023-131
https://doi.org/10.5194/nhess-2023-131
15 Sep 2023
 | 15 Sep 2023
Status: this preprint is currently under review for the journal NHESS.

Harmonizing seismicity information in Central Asian countries: earthquake catalog and active faults

Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, and Paolo Bazzurro

Abstract. Central Asian countries, which include Kazakhstan, the Kyrgyz Republic, Tajikistan, Turkmenistan, and Uzbekistan, are known to be highly exposed to natural hazards, particularly earthquakes, floods, and landslides. With the aim of enhancing financial resilience and risk-based investment planning to promote disaster and climate resilience in Central Asia, the European Union, in collaboration with the World Bank and the GFDRR, launched a regional program for “Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia” (SFRARR). Within this framework, a consortium of national and international scientific institutions was established and tasked with developing a regionally consistent multi-hazard and multi-asset probabilistic risk assessment. The overall goal was to improve scientific understanding on local perils and to provide local stakeholders and governments with up-to-date tools to support risk management strategies. However, the development of a comprehensive risk model can only be done on the base of an accurate hazard evaluation, the reliability of which depends significantly on the availability of local data and direct observations.

This paper describes the preparation of the input data sets required for the implementation of a probabilistic earthquake model for the Central Asian countries. In particular, it discusses the preparation of a new regional earthquake catalog harmonized between countries and homogenized in moment magnitude (Mw), as well as the preparation of a regional database of selected active faults with associated slip rate information to be used for the construction of the earthquake source model. The work was carried out in collaboration with experts from the local scientific community, whose contribution proved essential for the rational compilation of the two harmonized datasets.

Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, and Paolo Bazzurro

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-2023-131', Elif Oral, 24 Nov 2023
  • RC2: 'Comment on nhess-2023-131', Anonymous Referee #2, 24 Dec 2023
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, and Paolo Bazzurro
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, and Paolo Bazzurro

Viewed

Total article views: 424 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
326 85 13 424 10 9
  • HTML: 326
  • PDF: 85
  • XML: 13
  • Total: 424
  • BibTeX: 10
  • EndNote: 9
Views and downloads (calculated since 15 Sep 2023)
Cumulative views and downloads (calculated since 15 Sep 2023)

Viewed (geographical distribution)

Total article views: 404 (including HTML, PDF, and XML) Thereof 404 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 2024
Download
Short summary
A regionally consistent probabilistic risk assessment for multiple hazards and assets was recently developed as part of the “Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia” (SFRARR) program, promoted by the European Union in collaboration with the World Bank and GFDRR. This paper describes the preparation of the input data sets (earthquake catalog and active fault database) needed to implement a probabilistic earthquake model for the Central Asian countries.
Altmetrics