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This paper is a continuation of a series of works by the authors, which demonstrate the application of the Creepex analysis to the geodynamic research in the preparation areas of major events. In this paper the dynamics of the creepex-magnitude correlation KKOR on a global scale according to the Harvard CMT catalogue by deep (H ≥ 50 km) seismicity of two “main” seismic belts of the Earth is considered. The KKOR graphs allow to approximately identify abnormal 7-year periods (probably associated with periodic changes in geodynamic compression and stretching regimes), as well as to detect the strongest earthquakes associated with them. In particular, the most extensive KKOR anomalies are seen corresponding to four probable “key” earthquakes with approximately equal time intervals between them: 27.12.2003, 18.01.2011, 17.7.2017 and 9.01.2023. The possibility of increasing the reliability of the results based on a comparative analysis of the initial data from various sources is evaluated.

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On the Results of Using Creepex as a Characteristic of the Stress–Strain State of the Seismogenic Environment

  • 会议论文

  • 发表日期：

    2026年

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  • A. V. Mikheeva,
  • I. I. Kalinnikov

摘要

This paper is a continuation of a series of works by the authors, which demonstrate the application of the Creepex analysis to the geodynamic research in the preparation areas of major events. In this paper the dynamics of the creepex-magnitude correlation KKOR on a global scale according to the Harvard CMT catalogue by deep (H ≥ 50 km) seismicity of two “main” seismic belts of the Earth is considered. The KKOR graphs allow to approximately identify abnormal 7-year periods (probably associated with periodic changes in geodynamic compression and stretching regimes), as well as to detect the strongest earthquakes associated with them. In particular, the most extensive KKOR anomalies are seen corresponding to four probable “key” earthquakes with approximately equal time intervals between them: 27.12.2003, 18.01.2011, 17.7.2017 and 9.01.2023. The possibility of increasing the reliability of the results based on a comparative analysis of the initial data from various sources is evaluated.