人鱼号自主浮筒水声远震地震记录的波形建模

Sirawich Pipatprathanporn, Frederik J Simons
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摘要

我们提出了一种计算技术,用于模拟部署在太平洋的中柱美人鱼浮筒记录的远震地震的水声波形,其中考虑到了改变海底地震-声学转换和声波在海洋层传播(包括混响)的测深效应。我们的方法将针对一维固体地球上的力矩张量地震进行的轴对称谱元模拟与二维笛卡尔流固耦合谱元模拟相结合,从而捕捉到具有精确测深的海底界面上从位移到声压的转换。作为南太平洋羽流成像和建模(SPPIM)项目的一部分,我们将工作流程应用于普林斯顿大学拥有的 16 艘美人鱼号上的 682 次地震的 1,129 个地震波图。我们将建模的合成波形与观测到的记录在单独选择的频段内进行比较,目的是降低局部噪声水平,同时最大限度地提高地震产生的信号含量。建模波形与观测结果非常吻合,相关系数中值为 0.72,有些高达 0.95。我们将基于相关性的旅行时间测量结果与通过自动到达时间拾取和射线追踪旅行时间预测确定的相同数据集上的测量结果进行了比较,目的是通过全波形反演将美人鱼记录用于全球地震层析成像。
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Waveform modeling of hydroacoustic teleseismic earthquake records from autonomous Mermaid floats
We present a computational technique to model hydroacoustic waveforms from teleseismic earthquakes recorded by mid-column Mermaid floats deployed in the Pacific, taking into consideration bathymetric effects that modify seismo-acoustic conversions at the ocean bottom and acoustic wave propagation in the ocean layer, including reverberations. Our approach couples axisymmetric spectral-element simulations performed for moment-tensor earthquakes in a one-dimensional solid Earth to a two-dimensional Cartesian fluid-solid coupled spectral-element simulation that captures the conversion from displacement to acoustic pressure at an ocean-bottom interface with accurate bathymetry. We applied our workflow to 1,129 seismograms for 682 earthquakes from 16 Mermaids owned by Princeton University that were deployed in the Southern Pacific as part of the South Pacific Plume Imaging and Modeling (SPPIM) project. We compare the modeled synthetic waveforms to the observed records in individually selected frequency bands aimed at reducing local noise levels while maximizing earthquake-generated signal content. The modeled waveforms match the observations very well, with a median correlation coefficient of 0.72, and some as high as 0.95. We compare our correlation-based travel-time measurements to measurements made on the same data sets determined by automated arrival-time picking and ray-traced travel-time predictions, with the aim of opening up the use of Mermaid records for global seismic tomography via full-waveform inversion.
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