Application of cluster analysis to the study of spatial patterns of earthquakes in Azerbaijan and adjacent territories

Based on the data of the earthquake catalog in Azerbaijan and adjacent areas from 2010 to 2023, a procedure for dividing earthquakes into clusters was developed using the DBSCAN algorithm for Python. In the process of dividing into clusters, a number of indicators were used that allowed optimizing the number of clusters and the number of earthquakes in the clusters. A comparison of the location of earthquake clusters with tectonic faults in this region demonstrated their high correlation.

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Publication Details

Journal
Geofizicheskiy Zhurnal
Published
2025-04-07
DOI
https://doi.org/10.24028/gj.v47i2.322475
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Application of cluster analysis to the study of spatial patterns of earthquakes in Azerbaijan and adjacent territories

Sergii Skurativskyi, Sergiy Mykulyak, Yu. V. Semenova, Kateryna Skurativska
1 citations
Geofizicheskiy Zhurnal
Geochemistry and Geologic Mapping
2.48
article

Application of cluster analysis to the study of spatial patterns of earthquakes in Azerbaijan and adjacent territories

Sergii Skurativskyi, Sergiy Mykulyak, Yu. V. Semenova, Kateryna Skurativska
article en
1 citations

Abstract

Based on the data of the earthquake catalog in Azerbaijan and adjacent areas from 2010 to 2023, a procedure for dividing earthquakes into clusters was developed using the DBSCAN algorithm for Python. In the process of dividing into clusters, a number of indicators were used that allowed optimizing the number of clusters and the number of earthquakes in the clusters. A comparison of the location of earthquake clusters with tectonic faults in this region demonstrated their high correlation.

Geofizicheskiy ZhurnalVol. 47(2)
University of Padua (IT), National Academy of Sciences of Ukraine (UA)
Openalex Percentile: Top 11%
Geochemistry and Geologic Mapping
2.48
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