EARTHQUAKE SWARMS: RECOGNITION AND CHARACTERISTICS

This paper analyzes the current seismic activity of the Northern Tien Shan region and adjacent territories for the period from 2017 to 2025. An algorithm for identifying earthquake swarms is presented, and corresponding maps and diagrams are created based on its application. Physical and mathematical criteria used to identify earthquake swarms are described. It is concluded that earthquake swarms often precede strong earthquakes, the foci of which are formed in the earth's crust from structural inhomogeneities saturated with high-temperature masses, 1.5-2 years before the main event. The spatio-temporal distribution of earthquake swarms is displayed for the seismicity of the region under consideration for 2024-2025.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-18
DOI
https://doi.org/10.5281/zenodo.20740764
Primary Topic
Earthquake Detection and Analysis
Type
article
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article

EARTHQUAKE SWARMS: RECOGNITION AND CHARACTERISTICS

Вероника Лютикова, Ирина Литовченко
Zenodo (CERN European Organization for Nuclear Research)
Earthquake Detection and Analysis
article

EARTHQUAKE SWARMS: RECOGNITION AND CHARACTERISTICS

Вероника Лютикова, Ирина Литовченко
article en

Abstract

This paper analyzes the current seismic activity of the Northern Tien Shan region and adjacent territories for the period from 2017 to 2025. An algorithm for identifying earthquake swarms is presented, and corresponding maps and diagrams are created based on its application. Physical and mathematical criteria used to identify earthquake swarms are described. It is concluded that earthquake swarms often precede strong earthquakes, the foci of which are formed in the earth's crust from structural inhomogeneities saturated with high-temperature masses, 1.5-2 years before the main event. The spatio-temporal distribution of earthquake swarms is displayed for the seismicity of the region under consideration for 2024-2025.

Zenodo (CERN European Organization for Nuclear Research)
Institute of Electronic Measurements KVARZ (Russia) (RU)
Climate action
Openalex Percentile: Top 6%
Earthquake Detection and Analysis
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