著者
溜渕 功史 山田 真澄 Stephen WU
出版者
公益社団法人 日本地震学会
雑誌
地震 第2輯 (ISSN:00371114)
巻号頁・発行日
vol.67, no.2, pp.41-55, 2014-09-30 (Released:2014-11-25)
参考文献数
25
被引用文献数
3 or 0

The extremely active seismicity after the 2011 off the Pacific Coast of Tohoku Earthquake (Tohoku Earthquake) caused serious issues for the Earthquake Early Warning (EEW) system in Japan. Multiple concurrent earthquakes generated many false alarms due to the failure of correctly determining the source location. In this study, we propose a method to distinguish multiple concurrent events for EEW. We used the outputs of a B-delta method and principal component analysis, together with P-wave arrival times and amplitudes of triggered stations. The information of non-triggered stations is also used to constrain the locations. We constructed a likelihood function using the source parameters and solved this optimization problem using the particle filter. The appropriate choice of a likelihood function improves the accuracy of the location determination, and the probabilistic framework evaluates the uncertainty of the hypocenters. We applied this method to 72 events for which warnings were issued after the Tohoku Earthquake. The performance of EEW was greatly improved, reducing the false alarms from 22 to 0. The percentage of inaccurate warnings was also reduced from 66% to 6%.

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(´-`).。oO( 税金を使って研究しているのに,ペイウォールの向こうに論文を置いてしまうような研究なんて,正直潰れてしまえば良いと本当に思いますね.これとか.https://t.co/jtC0qYXTDT )
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