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Joint Inversion for Earthquake Depths Using Local Waveforms and Amplitude Spectra of Rayleigh Waves

机译:基于瑞利波局部波形和振幅谱的地震深度联合反演

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摘要

Reliable earthquake depth is fundamental to many seismological problems. In this paper, we present a method to jointly invert for centroid depths with local (distance < 5A degrees) seismic waveforms and regional (distance of 5A degrees-15A degrees) Rayleigh wave amplitude spectra on sparse networks. We use earthquake focal mechanisms and magnitudes retrieved with the Cut-and-Paste (CAP) method to compute synthetic amplitude spectra of fundamental mode Rayleigh wave for a range of depths. Then we grid search to find the optimal depth that minimizes the joint misfit of amplitude spectra and local waveforms. As case studies, we apply this method to the 2008 Wells, Nevada Mw6.0 earthquake and a Mw5.6 outer-rise earthquake to the east of Japan Trench in 2013. Uncertainties estimated with a bootstrap re-sampling approach show that this joint inversion approach constrains centroid depths well, which are also verified by independent teleseismic depth-phase data.
机译:可靠的地震深度是许多地震问题的基础。本文提出了一种在稀疏网络上联合反演质心深度的方法,该方法具有局部(距离<5A度)地震波形和区域(距离为5A度-15A度)瑞利波幅谱。我们使用剪切和粘贴(CAP)方法检索的地震焦点机制和震级来计算基本模态瑞利波在一定深度范围内的合成振幅谱。然后,我们进行网格搜索,以找到最佳深度,以最小化振幅谱和局部波形的联合不拟合。作为案例研究,我们将这种方法应用于 2008 年内华达州 Mw6.0 威尔斯地震和 2013 年日本海沟以东的 Mw5.6 外升地震。使用自举重采样方法估计的不确定性表明,这种联合反演方法很好地约束了质心深度,这也得到了独立的远震深度相位数据的验证。

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