Comprehensive Analysis of Geophysical Data in Comparison with Seismic Activity in the Junction Zone of the Chuya Basin and the Foothills of the Kyrgyz Ridge

Abstract—When studying the distribution of earthquake epicenters in the Northern Tien Shan region, a tendency was discovered for weak seismic events to cluster in relatively small areas. Understanding the conditions under which earthquakes occur and how they are grouped requires analysis of various geophysical features in conjunction with seismic event data. Using the Kohonen neural network, which allows for multidimensional classification of data, clusters were identified based on different sets of characteristics of the geophysical medium directly in the space of geographic coordinates. A comparison was made between cluster maps obtained using one or several geophysical parameters simultaneously and data on seismic events in the region under study. This integrated analysis revealed that there is a spatial correlation between clusters formed by a combination of parameters such as specific electrical resistance (electrical resistivity), temperature, vertical gradient of the ratio of compressional and shear seismic wave velocities, and the distribution of seismic events in the area considered.

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Publication Details

Journal
Izvestiya Physics of the Solid Earth
Published
2025-10-01
DOI
https://doi.org/10.1134/s1069351325700673
Primary Topic
Earthquake Detection and Analysis
Type
article
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article

Comprehensive Analysis of Geophysical Data in Comparison with Seismic Activity in the Junction Zone of the Chuya Basin and the Foothills of the Kyrgyz Ridge

D. A. Orekhova, И. В. Попова
Izvestiya Physics of the Solid Earth
Earthquake Detection and Analysis
article

Comprehensive Analysis of Geophysical Data in Comparison with Seismic Activity in the Junction Zone of the Chuya Basin and the Foothills of the Kyrgyz Ridge

D. A. Orekhova, И. В. Попова
article en

Abstract

Abstract—When studying the distribution of earthquake epicenters in the Northern Tien Shan region, a tendency was discovered for weak seismic events to cluster in relatively small areas. Understanding the conditions under which earthquakes occur and how they are grouped requires analysis of various geophysical features in conjunction with seismic event data. Using the Kohonen neural network, which allows for multidimensional classification of data, clusters were identified based on different sets of characteristics of the geophysical medium directly in the space of geographic coordinates. A comparison was made between cluster maps obtained using one or several geophysical parameters simultaneously and data on seismic events in the region under study. This integrated analysis revealed that there is a spatial correlation between clusters formed by a combination of parameters such as specific electrical resistance (electrical resistivity), temperature, vertical gradient of the ratio of compressional and shear seismic wave velocities, and the distribution of seismic events in the area considered.

Izvestiya Physics of the Solid EarthVol. 61(5)
Schmidt Institute of Physics of the Earth (RU)
Openalex Percentile: Top 62%
Earthquake Detection and Analysis
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