Abstract
This analysis is an extension of the studies based on the space–time–magnitude domain nearest-neighborhood distances (ƞ) 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 ƞ 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 log10ƞ (logarithmic scale of ƞ). The LSP showed a dominant peak corresponding to the time period between foreshocks and aftershocks, due to the highest number of recorded ƞ 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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This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2018R1D1A1B07048475).
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The seismic data were extracted from the EMSC (https://www.emsc-csem.org/Earthquake/) website with the criteria that the earthquake magnitude be greater than 3 (Mw > 3) be on dates from January 01, 2011 to December 31, 2018 and between 30.0° N to 35.8° N and 128.5° E to 134.2° E (Last Access date 5 July 2019) (DOCX 91 kb)
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Ansari, K., Bae, TS. Clustering analysis of seismicity in the space–time–depth–magnitude domain preceding the 2016 Kumamoto earthquake, Southwestern Japan. Int J Earth Sci (Geol Rundsch) 110, 253–261 (2021). https://doi.org/10.1007/s00531-020-01950-5
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DOI: https://doi.org/10.1007/s00531-020-01950-5