日本地球惑星科学連合2022年大会

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[E] 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-CG44] Science of slow-to-fast earthquakes

2022年6月3日(金) 11:00 〜 13:00 オンラインポスターZoom会場 (23) (Ch.23)

コンビーナ:加藤 愛太郎(東京大学地震研究所)、コンビーナ:田中 愛幸(東京大学理学系研究科)、山口 飛鳥(東京大学大気海洋研究所)、コンビーナ:波多野 恭弘(大阪大学理学研究科)、座長:永冶 方敬(東京大学大学院理学系研究科)、Anca Opris(Research and Development Center for Earthquake and Tsunami Forecasting)

11:00 〜 13:00

[SCG44-P24] Stress changes caused by Boso slow slip events inferred from seismicity data

卯川 知希1、*廣瀬 仁2,1 (1.神戸大学大学院理学研究科惑星学専攻、2.神戸大学都市安全研究センター)

キーワード:群発地震、Dieterichの地震活動度理論、すべりの時空間発展、地震のトリガリング、フィリピン海プレート

In the Kanto area in central Japan, so called the Boso slow slip events (SSEs) have repeatedly occurred every 2-6 years near the Boso Peninsula (e.g., Sagiya et al., 2004; Ozawa et al., 2019). The SSEs occurs on the subducting Philippine Sea plate at approximately 10-30 km depth range. Each slip episode lasts for several weeks accompanied by an earthquake swarm activity. Hirose et al. (2014) pointed out that a stress concentration caused by the slow slip could trigger the earthquake swarm suggested from the space and time evolution of the two Boso SSEs based on GNSS and tiltmeter data, but it is unknown whether the stress concentration actually occurs or not.

Here we estimate the time-dependent stress change during the Boso SSE and earthquake swarm episodes by applying a method proposed by Dieterich et al. (2000) to seismicity data. We used the Japan Meteorological Agency (JMA) Unified Earthquake Catalog to count the number of earthquakes in the range of 10 to 35 km in depth in a rectangular area of about 60 km x 40 km near the east coast of Boso Peninsula, which almost includes the hypocenters of the earthquake swarms during each SSE period from 1998 to 2019. The origin times of the selected earthquakes are then converted to a seismicity rate (the number of earthquakes per unit time) time function that is used to estimate the stress change time-series by applying the Dieterich et al.'s (2000) method.

The estimated stress change time-series shows a stress increase for all of the SSEs (in 2002, 2007, 2011, 2014 and 2018). Moreover, the comparison of the stress change with a time-dependent slow slip process for each SSE (Fukuda, 2018) indicates that the timings of rapid stress increases during an episode correspond to the stages of slip accelerations and slip area expansion to the westward for the 2002, 2007, 2011 and 2014 episodes. This is independent evidence of stress increase in the earthquake swarm area during an SSE episode, and supports the above hypothesis that the increased stress induced by slow slip triggers an earthquake swarm activity.

Acknowledgments:
We are grateful to Professor Shinji Toda for providing us a stress computation code based on a method proposed by Dieterich et al. (2000). The earthquake hypocenter catalog was provided by the Japan Meteorological Agency. This research was supported by JSPS KAKENHI Grant Numbers JP16H06474, JP21H05206, 21K03702.