Extracting surface wave dispersion curves from asynchronous seismic stations: method and application

Extracting surface wave dispersion curves from asynchronous seismic stations: method and application
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异步地震台站面波频散曲线提取:方法与应用

DOI:
10.1093/gji/ggab153
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发表时间:
2021-05
影响因子:
2.8
通讯作者:
Yingjie Yang
Yingjie Yang
中科院分区:
地球科学2区
文献类型:
--
作者:
Hao Rao;Yinhe Luo;Kaifeng Zhao;Yingjie Yang

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总结。经验格林函数的尾波与环境噪声的相关性可用于重建部署在不同时间段的两个地震台之间的经验格林函数。然而,这种方法需要在一对异步站周围的区域部署多个震源站,这限制了其在没有那么多可用震源站的情况下的适用性。这里,我们提出了另一种方法,称为两站C2方法,它使用一个单站作为虚拟源来反演两个异步站之间的面波相速度。以USArray的环境噪声数据为例,利用我们的C2方法和传统的互相关函数(C1函数),我们得到了站间C2函数。我们比较了C_1和C_2函数在波形、色散测量和相速度图上的差异。我们的结果表明,我们的C2方法可以获得可靠的台间相速度测量,这可以用于层析成像获得可靠的相速度图。该方法可以显著改善非同步地震阵列的射线路径复盖率,提高非同步地震阵列之间区域的环境噪声层析成像的分辨率。
SUMMARY. Correlation of the coda of Empirical Green's functions (EGFs) from ambient noise can be used to reconstruct EGFs between two seismic stations deployed different periods of time. However, such method requires a number of source stations deployed in the area surrounding a pair of asynchronous stations, which limit its applicability in cases where there are not so many available source stations. Here, we propose an alternative method, called two-station C2 method, which uses one single station as a virtual source to retrieve surface wave phase velocities between a pair of asynchronous stations. Using ambient noise data from USArray as an example, we obtain the interstation C2 functions using our C2 method and the traditional cross-correlation functions (C1 functions). We compare the differences between the C1 and C2 functions in waveforms, dispersion measurements, and phase velocity maps. Our results show that our C2 method can obtain reliable interstation phase velocity measurements, which can be used in tomography to obtain reliable phase velocity maps. Our method can significantly improve ray path coverage from asynchronous seismic arrays and enhance the resolution in ambient noise tomography for areas between asynchronous seismic arrays.
DOI: 10.1137/080723454
发表时间: 2009-04
期刊: SIAM J. Imaging Sci.
影响因子: --
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