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Adjoint-State Traveltime Tomography: Eikonal Equation-Based Methods and Application to the Anza Area in Southern California

机译:伴奏状态旅行时间断层扫描:基于Eikonal公式的方法和应用于加利福尼亚州南部的Anza地区

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摘要

Ray tracing is avoidable in seismic traveltime tomography. In this study, seismic traveltime tomography is reformulated as an eikonal equation-constrained optimization problem solved by the ray-free adjoint-state method. The resultant approach is called adjoint-state traveltime tomography. For completeness, an eikonal equation-based earthquake location method is developed to locate the hypocenters of earthquakes when necessary. The multiple-grid model parameterization is adopted to discretize the relative slowness perturbation Delta s(x) / s(x). The step-size-controlled gradient descent method, which has an effect of damping regularization, is used to find optimal earthquake hypocenters and velocity models. The performances of the earthquake location and adjoint-state traveltime tomography methods are tested in the source area of the 2020 M-w 4.9 Anza earthquake, a seismologically active place in southern California. The obtained high-resolution P-wave velocity model demonstrates that the 2020 M-w 4.9 Anza earthquake and other historic moderate-sized Anza earthquakes occurred near or at the boundaries of low V-P rocks, a typical seismogenic environment for moderate to large crustal earthquakes. Meanwhile, the source zone of the Anza earthquakes is characterized by high V-P/V-S, indicating the possible existence of crustal fluids as well as the critical role of fluids in the occurrence of those moderated-sized Anza earthquakes. On the whole, the well-performed eikonal equation-based earthquake location method and adjoint-state traveltime tomography method provide competent and attractive tools for hypocenter and tomographic inversions.
机译:射线追踪在地震走时层析成像中是可以避免的。在本研究中,地震走时层析成像被重新表述为一个eikonal方程约束优化问题,该问题由无射线伴随状态法求解。由此产生的方法称为伴随状态旅行时层析成像。为了完整性,我们开发了一种基于eikonal方程的地震定位方法,以便在必要时定位地震的震源。采用多重网格模型参数化离散相对慢度扰动δs(x)/s(x)。利用具有阻尼正则化效应的步长控制梯度下降法寻找最优震源和速度模型。在南加州地震活跃地区2020年安扎4.9级M-w地震的震源区测试了地震定位和伴随状态旅行时层析成像方法的性能。获得的高分辨率P波速度模型表明,2020年的M-w 4.9安扎地震和其他历史上的中等规模安扎地震发生在低V-P岩石附近或边界处,这是中到大型地壳地震的典型孕震环境。同时,安扎地震的震源区以高V-P/V-S为特征,表明地壳流体的可能存在,以及流体在安扎中度地震发生中的关键作用。总体而言,基于eikonal方程的地震定位方法和伴随状态走时层析成像方法为震源和层析成像反演提供了有竞争力和有吸引力的工具。

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