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Separating body and Rayleigh waves with cross terms of the cross-correlation tensor of ambient noise

机译:使用环境噪声的互相关张量的互项来分离体波和瑞利波

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We develop a novel method to separate body and Rayleigh waves with the vertical-radial (ZR) and radial-vertical (RZ) components of the cross-correlation tensor of ambient noise. Furthermore, analyzing ambient noise records observed at a seismic array, we validate the method. For the separation, we utilize the difference in polarizations between the rectilinear P and the elliptic Rayleigh waves. Assuming the two-dimensional surface and three-dimensional body waves are the superposition of random uncorrelated plane waves, we derive two fundamental characteristics of the ZR and RZ correlations. One is that between the ZR and RZ correlations, Rayleigh wave contributions have the opposite signs, and P waves have the same signs. The other is that for both ZR and RZ correlations, Rayleigh wave contributions are time symmetric, and P waves are time antisymmetric. Accordingly, we can separate P and Rayleigh waves by just taking the sum and difference between ZR and RZ correlations and by just taking the time-symmetric and time-antisymmetric components. Thismethod can be performed (1) without any knowledge of velocity structure, (2) using only two stations with three-component sensors on a ground surface, (3) even in the case of anisotropic wave incidence, and (4) with the quite simple procedure. We consider that the developed method can make better use of three-component observations of ambient noise for evaluating the cross-correlation tensor accurately, for improving deep velocity structure using both of extracted body and surface waves, and, more fundamentally, for understanding the composition of ambient noise.
机译:我们开发了一种新的方法来分离体声波和瑞利波,以及环境噪声的互相关张量的垂直径向(ZR)和径向垂直(RZ)分量。此外,通过分析在地震阵列上观察到的环境噪声记录,我们验证了该方法。对于分离,我们利用直线P和椭圆瑞利波之间的极化差异。假设二维体波和三维体波是随机不相关的平面波的叠加,我们得出ZR和RZ相关的两个基本特征。一种是在ZR和RZ相关之间,瑞利波贡献具有相反的符号,而P波具有相同的符号。另一个是对于ZR和RZ相关,瑞利波贡献是时间对称的,而P波是时间反对称的。因此,我们可以通过仅求ZR和RZ相关之间的和和差以及仅求时间对称和时间反对称分量来分离P波和瑞利波。可以执行此方法(1)不了解速度结构,(2)仅使用两个在地面上具有三分量传感器的站,(3)即使在各向异性波入射的情况下,以及(4)简单的过程。我们认为,所开发的方法可以更好地利用环境噪声的三分量观测值来准确评估互相关张量,使用提取的体波和面波来改善深层速度结构,更根本地,是用于理解成分环境噪声。

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