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PROBABILISTIC EARTHQUAKE SCENARIOS FOR THE CITY OF VARNA

Dimcho Solakov, Stela Simeonova, Plamena Raykova

First published: 2024-11-15https://doi.org/10.5593/sgem2024/1.1/s05.651View metrics

Abstract

In the present study probabilistic earthquake, scenarios for the city of Varna the third-largest earthquake-prone city in Bulgaria are presented. The probabilistic hazard for a city is obtained by integrating the effects of ground motion from earthquakes of different size occurring at different locations within different seismic source regions and with different frequencies of occurrence. The ground motion maps for the city of Varna are generated combining via GIS, source geometry, earthquake occurrence model, maximum earthquake magnitude, and the appropriate attenuation relations. The probabilistic scenario maps are created in terms of MSK intensity, Peak Ground Acceleration (PGA) and response spectral accelerations for 95- and 475-year return periods. The estimated values of PGA for 95- and 475-year return periods vary along the city from 0.08 to 0.11 and from 0.15g to 0.23g) respectively. For the considered return periods the macroseismic intensity (MSK) vary from 6.4 to 6.8 and from 7.4 to 7.8 (for 95 and 475-year return period respectively). The main objective of the study is to integrate basic geo-datasets and to assess the seismic hazard using GIS to provide a basis for disaster management of the city of Varna. Spatial distribution of the obtained results is available in GIS format and can be used not only for scientific purposes but also for practical measures to reduce the risk and limit the consequences of a future strong earthquake.

Publication Impact Profile

Dimensions ID: pub.1183084663

Publication details

Title
PROBABILISTIC EARTHQUAKE SCENARIOS FOR THE CITY OF VARNA
Authors
Dimcho Solakov, Stela Simeonova, Plamena Raykova
Proceedings
24th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2024, Science and Technologies in Geology, Exploration And Mining, Vol 24, Issue 1.1
Publisher
STEF92 Technology
Year
2024
Pages
523-530
SWS Citekey
Solakov20245523530
ISSN
1314-2704; 13142704
ISBN
9786197603675
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References14
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