GIS-Oriented Database on Seismic Hazard Assessment for Caucasian and Crimean Regions
- 作者: Soloviev A.A.1,2, Soloviev A.A.1,3, Gvishiani A.D.1,2, Nikolov B.P.1, Nikolova Y.I.1
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隶属关系:
- Geophysical Center of the Russian Academy of Sciences
- Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
- Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences
- 期: 卷 54, 编号 9 (2018)
- 页面: 1363-1373
- 栏目: Methods and Means of Satellite Data Processing and Interpretation
- URL: https://journals.rcsi.science/0001-4338/article/view/148668
- DOI: https://doi.org/10.1134/S0001433818090505
- ID: 148668
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详细
Zones of higher seismic hazard occupy about 20% of Russia’s territory, and 5% are characterized by extremely high hazard. These latter are, in particular, regions of Caucasus and Crimea with an aggregate population of about 15 M people. In order to assess seismic hazard and to minimize the consequences of possible earthquakes in these regions, a special-purpose database has been created for these regions; this database and a multifunctional user interface for its operation are currently being developed. For the first time, one software environment has integrated the most complete results on recognizing zones of higher seismicity by independent methods and the initial data on which the recognition was based. Thus, the system allows integrated multi-criteria seismic hazard assessment in a given region. The use of a modern geographic informational system (GIS) has made the preparation, organization, and analysis of these data considerably easier. The GIS makes it possible on the basis of a comprehensive approach to seismic hazard assessment to group and visualize the respective data in an interactive map. The analytical and interactive query tools integrated in the GIS allow a user to assess the degree of risk in regions under consideration based on different criteria and methods. The seismic hazard assessment database and its user interface were achieved using ESRI ArcGIS software, which completely satisfies the scaling requirement in terms of both functionality and data volume.
作者简介
An. Soloviev
Geophysical Center of the Russian Academy of Sciences; Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Email: j.zharkikh@gcras.ru
俄罗斯联邦, Moscow; Moscow
Al. Soloviev
Geophysical Center of the Russian Academy of Sciences; Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Academy of Sciences
Email: j.zharkikh@gcras.ru
俄罗斯联邦, Moscow; Moscow
A. Gvishiani
Geophysical Center of the Russian Academy of Sciences; Schmidt Institute of Physics of the Earth, Russian Academy of Sciences
Email: j.zharkikh@gcras.ru
俄罗斯联邦, Moscow; Moscow
B. Nikolov
Geophysical Center of the Russian Academy of Sciences
Email: j.zharkikh@gcras.ru
俄罗斯联邦, Moscow
Yu. Nikolova
Geophysical Center of the Russian Academy of Sciences
编辑信件的主要联系方式.
Email: j.zharkikh@gcras.ru
俄罗斯联邦, Moscow
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