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-P02] b 値の時空間変動とGNSSデータに基づく歪みの統計的評価:2024年能登半島地震への適用

*野田 洋一1李 文超1吉野 千恵2服部 克巳2,3,4 (1.千葉大学大学院融合理工学府、2.千葉大学大学院理学研究院、3.千葉大学環境リモートセンシング研究センター、4.千葉大学災害治療学研究所)

キーワード:b-value、GNSS-based strain、Earthquake Precursors

The frequency-magnitude distribution of earthquakes is expressed by the Gutenberg-Richter Law, in which a critical parameter is the b-value. The results of previous studies show that the b-value portrays not only the quantitation relationship between different earthquakes but also its magnitude negatively correlates with the regional stress level. In particular, the b-values show apparent precursor anomalies before some large earthquakes. However, objectively judging their relevance to earthquakes is difficult. In order to overcome this, we are developing evaluation methods that introduced the Akaike information criterion (AIC) and GNSS-based strain. Regarding the former, AIC, we investigate the difference in dAIC between AIC over the reference period and that of the studied period. The correlation between monitoring strain anomalies and major local earthquakes has been verified in recent years for the latter, GNSS-based strain.
Therefore, this paper analyzes the characteristics of the b-value and GNSS-based strain network related to the 2024 Noto Peninsula Earthquake to examine whether there are any anomalies in the occurrence of large earthquakes.