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<p><b>Abstract</b>—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.</p>

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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

  • 期刊论文

  • 发表日期：

    2025年10月1日

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  • D. A. Orekhova,
  • I. V. Popova

摘要

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.