日本地球惑星科学連合2025年大会

講演情報

[J] ポスター発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS10] 地震発生の物理・断層のレオロジー

2025年5月30日(金) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:柴田 律也(防災科学技術研究所)、澤井 みち代(千葉大学)、奥田 花也(海洋研究開発機構 高知コア研究所)、津田 健一(清水建設 株式会社 技術研究所)

17:15 〜 19:15

[SSS10-P06] Dynamic Rupture Inversion of Finite-fault with Curved Grid Finite-Difference Method: Synthetic Test and Applications

*Yuchen Zhang1、Zhenguo Zhang1Zhongqiu He1 (1. Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China)

キーワード:Earthquake Source Dynamic Inversion, Curved Grid Finite-Difference Method, Finite Fault Model, Parallel MCMC Algorithm

Dynamic source inversion can provide essential physical parameters of the fault, which enhances the resolution of seismic wave simulations and aids in risk analysis for engineering seismology, earthquake disaster loss assessment, and earthquake forecasting. However, such a task remains challenging due to its high computational demands, and when the fault geometry in the inversion differs significantly from the actual situation, the uncertain model prediction errors will exacerbate this burden and impact. We propose a novel Bayesian dynamic inversion method to infer stress and frictional parameters on faults. In the inversion, we utilize the GPU-accelerated curved grid finite difference method (CG-FDM) and an improved parallel-MCMC method to derive the model's posterior probability density function. We conduct synthetic inversion tests using the TPV8 and TPV10 models from the SCEC/USGS Spontaneous Rupture Code Verification Project. The results demonstrate that our inversion method converges to stable solutions with acceptable margins of error for both vertical strike-slip faults and moderately inclined normal faults. Subsequently, we applied this method to real earthquake events by constructing a non-planar fault model and incorporating the b-value distribution as a Bayesian prior constraint. Using this approach, we inverted the spatial distribution of fault friction coefficients and initial shear stress for the 2017 Mw 6.5 Jiuzhaigou earthquake, ultimately developing a three-dimensional dynamic rupture model.