Successive recognition of significant and strong earthquake-prone areas: The Baikal–Transbaikal region

This report continues a series of works by the authors on earthquake-prone areas recognition by the algorithmic system FCAZ. For the first time, successive earthquake-prone areas recognition for several magnitude thresholds in the same seismic region is conducted. This can be done by iteratively nar...

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Bibliographic Details
Published in:Doklady earth sciences 2017-12, Vol.477 (2), p.1488-1493
Main Authors: Gvishiani, A. D., Dzeboev, B. A., Belov, I. O., Sergeeva, N. A., Vavilin, E. V.
Format: Article
Language:English
Subjects:
Algorithms
Earth and Environmental Science
Earth Sciences
Earthquakes
Geophysics
Mathematical models
Object recognition
Regions
Reproducibility
Seismic activity
Thresholds
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Summary:This report continues a series of works by the authors on earthquake-prone areas recognition by the algorithmic system FCAZ. For the first time, successive earthquake-prone areas recognition for several magnitude thresholds in the same seismic region is conducted. This can be done by iteratively narrowing the set of recognition objects of the FCAZ system. Earthquake-prone areas for a given magnitude threshold are recognized within zones already recognized as dangerous for a smaller threshold magnitude. The reproducibility of the study is ensured by the fact that at all stages the recognition algorithm remains unchanged. Earthquakeprone areas with magnitude thresholds of М ≥ 5.5, М ≥ 5.75, and М ≥ 6.0 in the Baikal–Transbaikal region are studied successively.
ISSN:1028-334X
1531-8354
DOI:10.1134/S1028334X1712025X