Japan Geoscience Union Meeting 2024

Presentation information

[E] Poster

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

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

Sun. May 26, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Katsumi Hattori(Department of Earth Sciences, Graduate School of Science, Chiba University), Jann-Yenq LIU(Center for Astronautical Physics and Engineering, National Central University, Taiwan), Dimitar Ouzounov(Chapman University), Qinghua Huang(Peking University)

5:15 PM - 6:45 PM

[MIS04-P02] Characteristics of Spatio-Temporal variation of b-values with statistical assessment and GNSS-based strain : Application to 2024 Noto Peninsula Earthquake

*Yoichi NODA1, Wenchao Li1, Chie Yoshino2, Katsumi Hattori2,3,4 (1.Graduate School of Science and Engineering, Chiba University, 2.Graduate School of Science, Chiba University, 3.Center for Environmental Remote Sensing Chiba University, 4.Research Institute of Disaster Medicine Chiba University )

Keywords: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.