
Stochastic finite fault modeling of ground motions for the 2023 MS6.2 Jishishan earthquake based on improved source spectral model
Yu LIU, ShiYu JIN, MiaoMiao DENG, QianQi XU, XiaoDan SUN, ZiHan YIN
Prog Geophy ›› 2025, Vol. 40 ›› Issue (4) : 1405-1416.
Stochastic finite fault modeling of ground motions for the 2023 MS6.2 Jishishan earthquake based on improved source spectral model
An MS6.2 earthquake struck Jishishan County, Gansu Province, China, on December 18, 2023, leading to a tremendous sand boil and causing more than 150 deaths. As the trigger of the sand boils, the ground shaking during the earthquake attracts extensive concerns. In this study, ground motions of the Jishishan earthquake were reproduced by using a stochastic finite-fault modeling approach and compared with observations. To maintain the far-field received energy independent of subfault size, two improvements were made to the source spectral model. The comparison shows that: Simulated ground motions agree well with observations in terms of the waveform, peak, and duration of the acceleration time histories at reported stations. The response spectra of the observed time series are in general well reproduced by the simulation except for the remarkably large amplitude at certain periods that may result from a site response. Both the simulated and observed PGA are higher than the predictions of the empirical model but remain close to +1 standard deviation. The contour map of the simulated PGA and PGV shows a similar pattern to the observation except for the slight underestimation near the northeast and northwest corners of the study area. The maximum intensity derived from the simulated PGA is degree Ⅺ, which is also consistent with the reported shaking intensity.
Jishishan earthquake / Stochastic finite fault modeling / Strong ground motion / Peak ground acceleration / Shaking intensity
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Sun X D. 2010. Some issues on estimation of strong ground motion field[Ph. D. thesis] (in Chinese). Harbin: Harbin Institute of Technology.
|
|
|
|
|
|
|
|
|
|
Yu Y. 2012. Empirical estimate model for ground motion of Wenchuan earthquake zone[Ph. D. thesis] (in Chinese). Harbin: Institute of Engineering Mechanics, China Earthquake Administration.
|
|
|
Zhou J. 2023. High-Resolution VS30 Map for Affected Areas of the December 2023 M6.2 Jishixia Earthquake (Located WNW of Linxia Chengguanzhen), China, doi: 10.13140/RG.2.2.27294.51529.
|
|
|
|
|
|
美国地质勘探局. 2022. 1900年-2022年全球地震分布数据.
|
孙晓丹. 2010. 强地震动场估计中若干问题的研究[博士论文]. 哈尔滨: 哈尔滨工业大学.
|
|
|
|
|
|
|
|
|
喻烟. 2012. 汶川地震区地震动估计经验模型[博士论文]. 哈尔滨: 中国地震局工程力学研究所.
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感谢审稿专家提出的修改意见和编辑部的大力支持!
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