日本地球惑星科学連合2024年大会

講演情報

[E] ポスター発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS04] Interdisciplinary studies on pre-earthquake processes

2024年5月26日(日) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

コンビーナ:服部 克巳(千葉大学大学院理学研究科)、劉 正彦(国立中央大学太空科学研究所)、Ouzounov Dimitar(Center of Excellence in Earth Systems Modeling & Observations (CEESMO) , Schmid College of Science & Technology Chapman University, Orange, California, USA)、Huang Qinghua(Peking University)

17:15 〜 18:45

[MIS04-P03] Analysis of background and triggered seismicity of Noto Peninsula of Ishikawa, Japan, based on space-time ETAS model

*李 文超1吉野 千恵1服部 克巳1 (1.千葉大学)

キーワード:能登半島地震 (2024年)、ETAS モデル、 背景地震活動、誘発された地震活動

On January 1, 2024, an earthquake of magnitude 7.6 occurred in the Noto Peninsula of Ishikawa Prefecture, Japan. The Noto Peninsula lies on the southeastern margin of the Japan Sea, and the northeastern tip of the Noto Peninsula has been subject to a swarm seismic activity for the last three years, with the largest earthquake being a Mw 6.3 event that took place in May 2023. The Noto earthquake swarm mainly include four regions: northern, northeastern, western, and southern, and the depths are mainly distributed at 10-15km. It is significant for enhancing the understanding of seismic activity in this region to explore the characteristics of background seismicity and triggering seismicity. In this study, we used the space-time Epidemic Type Aftershock Sequency (ETAS) model to fit the seismicity to obtain the spatial and temporal distribution of total seismicity rate, background seismicity rate and clustering seismicity rate. Also, the stochastic declustering method based on the ETAS model was used to separate all the events in to background events and clustering events. By analyzing the parameters of the ETAS model, we can gain insights in to the underlying seismic processes in the Noto region. Additionally, the findings may have implications for seismic hazard assessment and risk mitigation strategies in seismically active areas. Overall, this research provides valuable insights into the dynamics of earthquake occurrences, offering a foundation for further advancements in earthquake prediction and preparedness. More detailed information and results will be showed in the presentation.