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Full-3-D tomography for crustal structure in Southern California based on the scattering-integral and the adjoint-wavefield methods

机译:基于散射积分和伴随波场方法的南加州地壳结构全3D层析成像

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We have successfully applied full-3-D tomography (F3DT) based on a combination of the scattering-integral method (SI-F3DT) and the adjoint-wavefield method (AW-F3DT) to iteratively improve a 3-D starting model, the Southern California Earthquake Center (SCEC) Community Velocity Model version 4.0 (CVM-S4). In F3DT, the sensitivity (Fréchet) kernels are computed using numerical solutions of the 3-D elastodynamic equation and the nonlinearity of the structural inversion problem is accounted for through an iterative tomographic navigation process. More than half-a-million misfit measurements made on about 38,000 earthquake seismograms and 12,000 ambient-noise correlagrams have been assimilated into our inversion. After 26 F3DT iterations, synthetic seismograms computed using our latest model, CVM-S4.26, show substantially better fit to observed seismograms at frequencies below 0.2 Hz than those computed using our 3-D starting model CVM-S4 and the other SCEC CVM, CVM-H11.9, which was improved through 16 iterations of AW-F3DT. CVM-S4.26 has revealed strong crustal heterogeneities throughout Southern California, some of which are completely missing in CVM-S4 and CVM-H11.9 but exist in models obtained from previous crustal-scale 2-D active-source refraction tomography models. At shallow depths, our model shows strong correlation with sedimentary basins and reveals velocity contrasts across major mapped strike-slip and dip-slip faults. At middle to lower crustal depths, structural features in our model may provide new insights into regional tectonics. When combined with physics-based seismic hazard analysis tools, we expect our model to provide more accurate estimates of seismic hazards in Southern California.
机译:我们已经成功地应用了基于散射积分方法(SI-F3DT)和伴随波场方法(AW-F3DT)的全3D层析成像(F3DT)来迭代地改进3-D起始模型,南加州地震中心(SCEC)社区速度模型版本4.0(CVM-S4)。在F3DT中,使用3-D弹性动力学方程的数值解来计算灵敏度(Fréchet)核,并通过迭代层析成像导航过程解决结构反演问题的非线性问题。对约38,000个地震图和12,000个环境噪声相关图进行的超过50万次失配测量已被吸收到我们的反演中。经过26次F3DT迭代后,使用我们的最新模型CVM-S4.26计算出的合成地震图与使用我们的3-D起始模型CVM-S4和其他SCEC CVM计算出的合成地震图相比,在0.2 Hz以下的频率下显示出的观测地震图具有更好的拟合度, CVM-H11.9,通过AW-F3DT的16次迭代得到了改进。 CVM-S4.26揭示了整个南加州强烈的地壳异质性,其中一些在CVM-S4和CVM-H11.9中完全缺失,但存在于从先前地壳规模的2D主动源折射层析成像模型获得的模型中。在浅层深度,我们的模型显示出与沉积盆地的强相关性,并揭示了主要测绘走滑和倾滑断层的速度对比。在中低层地壳深度,我们模型的结构特征可能会提供有关区域构造的新见解。当与基于物理的地震危险性分析工具结合使用时,我们希望我们的模型能够提供更准确的南加州地震危险性估计。

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