谷歌浏览器插件
订阅小程序
在清言上使用

Slip Distribution Inversion of Seismic Sub-Fault Dip Iteration Using Gradient Based Optimizer Algorithm

Leyang Wang,Han Li, Ming Pang

Geodesy and geodynamics(2024)

引用 0|浏览2
暂无评分
摘要
This paper considers setting different dips for different sub-faults to fit the actual rupture situation based on the fault rupture of the 2013 Lushan MS7.0 earthquake. Meanwhile, combined with the coseismic GNSS data of the Lushan earthquake, the source parameters and sliding distribution of the Lushan earthquake fault are inversed. Firstly, we use the gradient based optimizer (GBO) in nonlinear inversion to obtain the source parameters of this seismic fault. The inversion results indicate that the strike of the fault is 206.52 degrees, the dip is 44.10 degrees, the length is 21.92 km, and the depth is 12.79 km. To refine the sliding distribution of the seismic fault, the seismic fault is divided into 3 x 3 sub-faults. Then, we fix the central sub-fault dip of 44.10 degrees; the dip of other sub-faults is obtained by iteration. After that, the model is further divided into a fault layer model composed of 23 x 19 sub fault slices, and using the Matlab fitting function is used to fit the dip of the 23 x 19 sub faults. Finally, the Lushan seismic fault plane is established as a shovel structure with steep upper and gentle lower, steep south and gentle north. The slip distribution inversion results indicate that the depth of the slip peak is 13 km, the corresponding maximum slip momentum is 0.67 m, the seismic moment is 1.10 x 1019 N$m and the corresponding moment magnitude is MW6.66. The results above are consistent with the research results of seismology. (c) 2023 Editorial office of Geodesy and Geodynamics. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
更多
查看译文
关键词
Gradient based optimizer (GBO),Lushan earthquake,Non-plane fault model,Slid distribution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要