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Joint inversion of Rayleigh and Love wave dispersion curves for improving the accuracy of near-surface S-wave velocities

机译:Rayleigh和Love波色散曲线的联合反演,提高近表面S波速度的精度

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High-frequency surface-wave techniques are extensively employed for the determination of S-wave velocities of near-surface materials. The absence of the measured phase velocity dispersion curves at specific frequency band, however, is common in the real world, which may cause inaccurate S-wave velocity by inversion. Additionally, surface-wave phase velocities are relatively insensitive to S-wave velocities under the abnormal high or low velocity layer, so it is difficult for surface-wave techniques to obtain S-wave velocities in irregular models which contain an (or several) abnormal layer(s). Based on significantly different sensitivity frequency bands of Rayleigh and Love wave phase velocities, a joint inversion method of Rayleigh and Love wave dispersion curves was proposed by the conjugate gradient algorithm. We used synthetic models to test the effectiveness of the developed method. Numerical modeling results revealed that: (1) S-wave velocities acquired by joint inversion of Rayleigh and Love wave phase velocities were more accurate than that by individual inversion in the case of lacking surface-wave dispersion data; (2) joint inversion efficiently improved the accuracy of S-wave velocities of irregular models. A real-world example verified the validity in application of the proposed approach. (C) 2020 Published by Elsevier B.V.
机译:广泛用于确定近表面材料的S波速度的高频表面波技术。然而,在现实世界中,在特定频带处的测量阶段速度色散曲线常见,这可能通过反转导致S波速度不准确。另外,表面波相速度在异常高或低速层下的S波速度相对不敏感,因此表面波技术难以获得不规则模型中的S波速度,其包含(或几种)异常层。基于瑞利和爱波相速度的显着不同的敏感频带,通过缀合梯度算法提出了一种瑞利和爱波色散曲线的联合反演方法。我们使用了合成模型来测试开发方法的有效性。数值建模结果显示:(1)通过瑞利和爱波相波的联合反转获得的S波速度比缺乏表面波分散数据的情况下通过单独的反转更准确; (2)联合反演有效提高了不规则模型的S波速度的准确性。真实世界的示例验证了应用拟议方法的有效性。 (c)2020由elsevier b.v发布。

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