基于变模分解的永久位移估算方法

Xiaoquan Xu, Yinfeng Dong, Dezhi Fang, Dong Li
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引用次数: 0

摘要

在强震的近场区域,强震计记录的信息包括地面运动信息和复杂的低频噪声。这些噪声导致记录中出现与地面运动无关的 "额外 "加速度分量,这些分量被整合到速度和位移时间历程中,从而造成偏移。为了解决这一问题,本文采用了基于变异模态分解(VMD)的基线校正方法,将地震信号分解为不同频率的模态函数,然后提取低频模态函数。值得注意的是,这些低频模态函数成分包含线性趋势项,这一特性使我们能够有效地进行基线校正。结果表明,用这种方法得到的永久位移与附近 GPS 观测站观测到的同震位移非常吻合。该方法提供了一种估算永久位移的有效方法,有助于揭示地震的焦点机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Permanent displacement estimation method based on variational mode decomposition
In the near-field area of strong earthquakes, the information recorded by a strong seismometer includes ground motion information and complex low-frequency noise. This noise results in the presence of an “extra” acceleration component in the record that is independent of ground motion, and these components are integrated into the velocity and displacement time history to cause offset. In order to solve this problem, this paper adopts a baseline correction method based on variational mode decomposition (VMD), which decomposes seismic signals into modal functions of different frequencies and then extracts the low-frequency modal functions. It is worth noting that these low-frequency modal function components contain linear trend terms, a property that allows us to perform baseline corrections efficiently. The results show that the permanent displacement obtained by this method is in good agreement with the coseismic displacement observed by GPS stations nearby. This method provides an efficient approach for estimation permanent displacement which helps revealing the focal mechanism of an earthquake.
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