A statistical feature of anomalous seismic activity prior to large shallow earthquakes in Japan revealed by the pattern informatics method

NCUIR > College of Earth Sciences > Department of Earth Sciences > journal & Dissertation > Item 987654321/103277

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Title:	A statistical feature of anomalous seismic activity prior to large shallow earthquakes in Japan revealed by the pattern informatics method
Authors:	陳建志;Kudo, T.;Chen, Chien Chih;Kawamura, Masashi;Wu, Y.-H.
Contributors:	地球科學學院地球科學學系
Keywords:	Environmental sciences;Environmental technology. Sanitary engineering;G;GE1-350;Geography. Anthropology. Recreation;Geology;QE1-996.5;TD1-1066
Date:	2014-04-14
Issue Date:	2026-04-23 11:27:07 (UTC+8)
Publisher:	European Geosciences Union;Copernicus GmbH
Abstract:	摘要： Abstract. For revealing the preparatory processes of large inland earthquakes, we systematically applied the Pattern Informatics method (PI method) to the earthquake data of Japan. We focused on 12 large earthquakes with magnitudes larger than M = 6.4 (an official magnitude of the Japan Meteorological Agency) that occurred at depths shallower than 30 km between 2000 and 2010. We examined the relation between the spatiotemporal locations of such large shallow earthquakes and those of PI hotspots, which correspond to the grid cells of anomalous seismic activities in a designated time span. Based on a statistical test using Molchan's error diagram, we inquired into the existence of precursory anomalous seismic activities of the large earthquakes and, if any, their characteristic time span. The test indicated that the Japanese M 6.4 inland earthquakes tend to be preceded by anomalous seismic activities of 8-to-10-yr time scales. 出版者： Copernicus GmbH 出版日期： 2013-03-26 出處： Natural Hazards and Earth System Sciences, 2013-03, Vol.14, p.849-859 資源來源： Agricultural & Environmental Science Collection 識別號： EISSN: 1684-9981 識別號： DOI: 10.5194/nhessd-1-721-2013 識別號： DOI: 10.5194/nhess-14-849-2014
Appears in Collections:	[Department of Earth Sciences ] journal & Dissertation

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