库仑率态方法中的参数不确定性约束:中国 2008 年汶川 7.9 级地震后龙门山地区地震案例研究

Yashan Feng, Neng Xiong, Bin Shan, Rongjiang Wang, Xiong Xiong
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引用次数: 0

摘要

速率状态摩擦定律与库仑破坏应力变化(ΔCFS)相结合,是预报大地震后地震活动率变化的最常用物理模型之一。然而,其有效性受到参数不确定性的影响。为了寻求解决这种不确定性的可能方案,本文对 2008 年汶川 7.9 级地震后中国龙门山地区十年的地震活动进行了回顾性预报,并提出了约束参数不确定性的方法。首先,我们从断层滑动率推导出空间可变的 ta 和 Aσ。这种方法不仅为这两个参数提供了观测约束,而且反映了断层速率态属性的空间变化。其次,虽然库仑率态预报中常见的是完整和去簇背景目录,但本研究证明,去簇可避免因背景目录中的临时地震波动而导致的地震率上升的错误警报。最后,我们将模型从基于应力阶跃(共震应力变化)的典型应用扩展到允许更复杂应力演变(震后粘弹应力变化)的计算。有了这些限制参数不确定性的方法,我们就能获得更可靠的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constraining Parameter Uncertainties in the Coulomb Rate–State Approach: A Case Study of Seismicity in the Longmenshan Region after the 2008 Mw 7.9 Wenchuan Earthquake, China
The rate–state frictional law, coupled with the Coulomb failure stress changes (ΔCFS), is one of the most popular physics-based models to forecast seismicity rate changes following a major earthquake. However, its effectiveness is hampered by parameter uncertainties. To seek possible solutions for such uncertainties, this article carried out retrospective forecasts of the decade-long seismicity in the Longmenshan region, China, after the 2008 Mw 7.9 Wenchuan earthquake, and proposed methods to constrain parameter uncertainties. First, we derived spatially variable ta and Aσ from fault-slip rates. This method not only provides observational constraints for these two parameters but also reflects spatial variations of fault rate–state properties. Second, although both complete and declustered background catalogs are common in Coulomb rate–state forecasts, this study demonstrated that declustering avoids false alerts of seismicity rate increase that resulted from temporary seismicity fluctuations in the background catalog. Finally, we extended the model from its typical application based on a stress step (the coseismic stress change) to a calculation that allows a more complex stress evolution (the postseismic viscoelastic stress change). With these methods to constrain parameter uncertainties, we are able to obtain more reliable forecasts.
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