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

Authors

  • S.I. Skurativskyi S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine
  • S.V. Mykulyak S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine
  • Yu.V. Semenova S.I. Subbotin Institute of Geophysics, National Academy of Sciences of Ukraine, Kiev, Ukraine, Ukraine
  • K.S. Skurativska University of Padova, Padova, Italy, Ukraine

DOI:

https://doi.org/10.24028/gj.v47i2.322475

Keywords:

earthquake, Azerbaijan, clustering, DBSCAN algorithm, network of faults

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.

References

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Published

2025-04-07

How to Cite

Skurativskyi, S., Mykulyak, S., Semenova, Y., & Skurativska, K. (2025). Application of cluster analysis to the study of spatial patterns of earthquakes in Azerbaijan and adjacent territories. Geofizicheskiy Zhurnal, 47(2). https://doi.org/10.24028/gj.v47i2.322475

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