日本地球惑星科学連合2018年大会

講演情報

[EE] Eveningポスター発表

セッション記号 S (固体地球科学) » S-CG 固体地球科学複合領域・一般

[S-CG53] Science of slow earthquakes: Toward unified understandings of whole earthquake process

2018年5月23日(水) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:井出 哲(東京大学大学院理学系研究科地球惑星科学専攻)、廣瀬 仁(神戸大学都市安全研究センター)、氏家 恒太郎(筑波大学生命環境系、共同)、波多野 恭弘(東京大学地震研究所)

[SCG53-P12] 東海地方スロースリップイベント

*坂上 啓1西村 卓也2福田 淳一3加藤 照之3 (1.京都大学大学院理学研究科、2.京都大学防災研究所、3.東京大学地震研究所)

キーワード:東海地方スロースリップ、東海地方、GNSS

In the Tokai region, central Japan, the long-term slow slip events have been reported on the subducting Philippine Sea Plate in 2000-2005 and 2013-2016. In addition, many short-term slow slip events have been observed there since 1996. We analyzed GNSS data from 1996 to 2016 to estimate spatiotemporal distribution of interplate slip associated with these SSEs in this study. The GIPSY-OASIS II software (version 6.1) was used to estimate daily coordinates of GNSS stations operated by GSI and JUNCO (the Japanese University Consortium for GPS Research). It is well known that GNSS time series have many systematic signals and noises that do not result from SSEs. They include, for example, seasonal variations, co- and post-seismic deformation of the 2004 southeast off Kii Peninsula earthquake and the 2011 Tohoku-oki earthquake (Mw9.0), and crustal deformation of volcanic activity on the northern Izu Islands. After removing them, we applied a modified Network Inversion Filter (NIF) [Fukuda et al., 2008]. The original NIF [Segall & Matthews, 1997] assumes a constant hyperparameter for the temporal smoothing of slip rates and thus often results in oversmoothing of slip rates. The modified NIF assumes a time-variable hyperparameter, so that changes in slip rates are effectively extracted from GNSS time series. We successfully estimated the spatiotemporal evolutions of not only the Tokai L-SSEs (Mw~7.1 and Mw~6.6) in 2000-2005 and 2013-2016 but also dozens of short-term SSEs (Mw<6.1). We will present a comparison of the spatiotemporal evolutions between these long-term SSEs and possible dependence of the occurrence style of short-term SSEs on the occurrence of the long-term SSEs.