Rayleigh-wave multicomponent cross-correlation-based source strength distribution inversion. Part 1: Theory and numerical examples
Rayleigh-wave multicomponent cross-correlation-based source strength distribution inversion. Part 1: Theory and numerical examples
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DOI：
10.1093/gji/ggz261
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发表时间：
2019-09
影响因子：
2.8
通讯作者：
Zongbo Xu;T. Mikesell;G. Gribler;A. Mordret
中科院分区：
文献类型：
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作者：
Zongbo Xu;T. Mikesell;G. Gribler;A. Mordret
基于互相关的地震干涉测量通常用于从环境地震噪声记录中提取面波格林函数。这种方法要求震源在两个接收器周围的各个方向上各向同性分布。然而，这种假设在实践中很少是有效的。因此，全波形反演理论最近被应用于地震噪声互相关函数，即既包括震源信息又包括构造信息的函数。源信息(如位置或强度)对于准确的结构信息估计是必不可少的。在本文中，我们从物理上解释了两种类型的震源灵敏度核：一种是由旅行时失配得到的，另一种是由波形失配得到的。我们使用这些核函数进行震源反演，并展示了在这个震源估计过程中使用多分量互相关的好处。
Cross-correlation-based seismic interferometry is commonly used to retrieve surface-wave Green’s functions from ambient seismic noise recordings. This approach requires that seismic sources are isotropically distributed in all directions around two receivers. However, this assumption is rarely valid in practice. Thus full-waveform inversion theory has recently been applied to seismic noise cross-correlation functions, functions that include both source and structure information. Source information (e.g. location or strength) is essential for accurate structure information estimation. In this paper, we explain physically two types of source sensitivity kernels: one derived from traveltime misfits and the other derived from waveform misfits. We use these kernels for source inversion and demonstrate the benefits of using multicomponent cross-correlations in this source estimation process.