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
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.
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.