Seismic activity preceding the 2016 Kumamoto earthquakes: Multiple approaches to recognizing possible precursors
Abstract
We show the first results of recognizing seismic patterns as possible precursory episodes to the 2016 Kumamoto earthquakes, using existing four different methods: b-value method (e.g., Schorlemmer and Wiemer, 2005; Nanjo et al., 2012), two kinds of seismic quiescence evaluation methods (RTM-algorithm, Nagao et al., 2011; Z-value method, Wiemer and Wyss, 1994), and foreshock seismic density analysis based on Lippiello et al. (2012). We used the earthquake catalog maintained by the Japan Meteorological Agency (JMA). To ensure data quality, we performed catalog completeness check as a pre-processing step of individual analyses. Our finding indicates the methods we adopted do not allow the Kumamoto earthquakes to be predicted exactly. However, we found that the spatial extent of possible precursory patterns differs from one method to the other and ranges from local scales (typically asperity size), to regional scales (e.g., 2° × 3° around the source zone). The earthquakes are preceded by periods of pronounced anomalies, which lasted decade scales (e.g., 20 years or longer) to yearly scales (e.g., 1 2 years). Our results demonstrate that combination of multiple methods detects different signals prior to the Kumamoto earthquakes with more considerable reliability than if measured by single method. This strongly suggests great potential to reduce the possible future sites of earthquakes relative to long-term seismic hazard assessment. This study was partly supported by MEXT under its Earthquake and Volcano Hazards Observation and Research Program and Grant-in-Aid for Scientific Research (C), No. 26350483, 2014-2017, by Chubu University under the Collaboration Research Program of IDEAS, IDEAS201614, and by Tokai University under Project Resarch of IORD. A part of this presentation is given in Nanjo et al. (2016, submitted).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMNH51C1968N
- Keywords:
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- 0619 Electromagnetic theory;
- ELECTROMAGNETICSDE: 2427 Ionosphere/atmosphere interactions;
- IONOSPHEREDE: 4333 Disaster risk analysis and assessment;
- NATURAL HAZARDSDE: 7223 Earthquake interaction;
- forecasting;
- and prediction;
- SEISMOLOGY