4.4 Article

Clustering analysis of seismicity in the space-time-depth-magnitude domain preceding the 2016 Kumamoto earthquake, Southwestern Japan

Journal

INTERNATIONAL JOURNAL OF EARTH SCIENCES
Volume 110, Issue 1, Pages 253-261

Publisher

SPRINGER
DOI: 10.1007/s00531-020-01950-5

Keywords

Earthquake clustering; Seismic depth; Southwestern Japan

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2018R1D1A1B07048475]
  2. National Research Foundation of Korea [2018R1D1A1B07048475] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This analysis extends previous studies by incorporating epicentral depth as a parameter for seismicity clustering. The technique was applied to SW Japan seismic data, revealing two statistically distinct earthquake populations. The Lomb-Scargle periodogram detected periodic components in log(10)n, with a dominant peak between foreshocks and aftershocks.
This analysis is an extension of the studies based on the space-time-magnitude domain nearest-neighborhood distances (n) obtained from two successive earthquakes. We included epicentral depth as a parameter, and established a new analytical solution for seismicity clustering in the space-time-depth-magnitude domain. The proposed technique was applied to SW Japan seismic observation data for 2011-2018, and revealed that the temporal, spatial, and epicentral (T, R, E) components of the joint distribution for n were prominently bimodal, indicating the presence of two, statistically distinct, earthquake populations. We used the Lomb-Scargle periodogram (LSP) to generate a power spectrum preceding the Kumamoto earthquake, and detected the periodic component of unequally spaced points for log(10)n (logarithmic scale of n). The LSP showed a dominant peak corresponding to the time period between foreshocks and aftershocks, due to the highest number of recorded n observations. The technique presented in this paper can be applied globally for any time period and any seismotectonic zone preceding large earthquakes of interest.

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