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Article

Regional Seismic Information Entropy to Detect Earthquake Activation Precursors

Department of Systems Innovation, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
Received: 2 October 2018 / Revised: 4 November 2018 / Accepted: 6 November 2018 / Published: 8 November 2018
A method is presented to detect earthquake precursors from time series data on earthquakes in a target region. The Regional Entropy of Seismic Information (RESI) is an index that represents the average influence of an earthquake in a target region on the diversity of clusters to which earthquake foci are distributed. Based on a simple qualitative model of the dynamics of land crust, it is hypothesized that the saturation that occurs after an increase in RESI precedes the activation of earthquakes. This hypothesis is validated by the earthquake catalog. This temporal change was found to correlate with the activation of earthquakes in Japanese regions one to two years ahead of the real activation, more reliably than the compared baseline methods. View Full-Text
Keywords: information entropy; clustering; earthquake precursors; earthquake catalog information entropy; clustering; earthquake precursors; earthquake catalog
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MDPI and ACS Style

Ohsawa, Y. Regional Seismic Information Entropy to Detect Earthquake Activation Precursors. Entropy 2018, 20, 861. https://0-doi-org.brum.beds.ac.uk/10.3390/e20110861

AMA Style

Ohsawa Y. Regional Seismic Information Entropy to Detect Earthquake Activation Precursors. Entropy. 2018; 20(11):861. https://0-doi-org.brum.beds.ac.uk/10.3390/e20110861

Chicago/Turabian Style

Ohsawa, Yukio. 2018. "Regional Seismic Information Entropy to Detect Earthquake Activation Precursors" Entropy 20, no. 11: 861. https://0-doi-org.brum.beds.ac.uk/10.3390/e20110861

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