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A method for determining the regularization parameter and the relative weight ratio of the seismic slip distribution with multi-source data

机译:用多源数据确定地震滑动分布正则化参数和相对权重比的方法

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摘要

In this paper, a combined approach consisting of the U-curve method and discriminant function minimization method is proposed to determine the regularization parameter and relative weight ratio of observed multi-source data for a joint inversion of the seismic slip distribution. The proposed method uses the U-curve method to determine the optimal regularization parameter of observed data (GPS and InSAR) through individual inversion and then uses the discriminant function minimization method to determine the relative weight ratio between GPS and InSAR data. Simulation experiment results show that the method proposed in this paper is better than the variance component estimation method; and the joint U-curve and variance component estimation method, in terms of the root mean square error. In addition, the inversion results of the L'Aquila and Meinong earthquakes further prove the feasibility and advantage of the proposed method.
机译:本文提出了一种由U曲线法和判别函数最小化法相结合的方法来确定地震滑动分布的联合反演的正则化参数和观测到的多源数据的相对权重比。所提出的方法使用U曲线方法通过个体反演确定观测数据(GPS和InSAR)的最佳正则化参数,然后使用判别函数最小化方法确定GPS和InSAR数据之间的相对权重比。仿真实验结果表明,本文提出的方法优于方差分量估计方法。以及基于均方根误差的联合U曲线和方差分量估计方法。此外,拉奎拉地震和美浓地震的反演结果进一步证明了该方法的可行性和优势。

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