首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models
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Joint inversion of Rayleigh-wave dispersion and P-wave refraction data for laterally varying layered models

机译:横向变化分层模型的瑞利波频散和P波折射数据的联合反演

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摘要

We implemented a joint inversion method to build P- and S-wave velocity models from Rayleigh-wave and P-wave refraction data, specifically designed to deal with laterally varying layered environments. A priori information available over the site and any physical law to link model parameters can be also incorporated. We tested and applied the algorithm behind the method. The results from a field data set revealed advantages with respect to individual surface- wave analysis (SWA) and body wave tomography (BWT). The algorithm imposed internal consistency for all the model parameters relaxing the required a priori assumptions (i.e., Poisson's ratio level of confidence in SWA) and the inherent limitations of the two methods (i.e., velocity decreases for BWT).
机译:我们实施了一种联合反演方法,利用瑞利波和P波折射数据建立P波和S波速度模型,这些数据专门用于处理横向变化的分层环境。还可以合并站点上可用的先验信息以及链接模型参数的任何物理定律。我们测试并应用了该方法背后的算法。现场数据集的结果显示出在个体表面波分析(SWA)和体波层析成像(BWT)方面的优势。该算法为所有模型参数强加了内部一致性,从而放宽了所需的先验假设(即SWA中的泊松比置信度水平)和两种方法的固有局限性(即BWT的速度降低)。

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