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Frequency-Bessel Transform Method for Effective Imaging of Higher-Mode Rayleigh Dispersion Curves From Ambient Seismic Noise Data

机译:频率 - 贝塞尔变换方法,用于从环境地震噪声数据的高模瑞利色散曲线有效成像

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摘要

It has been widely recognized that the cross-correlation function of ambient seismic noise data recorded at two stations approximates to the part of Greens function between two stations. Therefore, the cross-correlation function should include higher modes, aside from the fundamental mode. However, the problem of measuring or extracting overtones from ambient seismic noise data remains. In this paper, we propose the frequency-Bessel transform method (F-J method) for extracting the dispersion curves of higher modes from ambient seismic noise data. We then assess the validity, accuracy, and applicability of the F-J method by conducting extensive numerical simulations and processing the observed ambient seismic noise data of the USArray. As demonstrated in this study, the F-J method is a convenient, practical, and accurate method for extracting the dispersion curves of multimodes from ambient seismic noise data and therefore has significant potentiality in the field of ambient seismic noise tomography.
机译:已经普遍认识到,在两个站记录的环境地震噪声数据的互相关函数近似于两个站之间的绿色函数的一部分。因此,互相关函数应包括较高的模式,除了基本模式。然而,从环境地震噪声数据中测量或提取溢出的问题仍然存在。在本文中,我们提出了用于从环境地震噪声数据中提取更高模式的色散曲线的频率 - 贝塞尔变换方法(F-J方法)。然后,我们通过进行广泛的数值模拟来评估F-J方法的有效性,准确性和适用性,并处理USArray的观察到的环境地震噪声数据。如本研究所示,F-J方法是一种方便,实用,精确的方法,用于从环境地震噪声数据中提取多码的色散曲线,因此在环境地震噪声断层扫描领域具有显着的潜力。

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