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断层滑动分布通常是通过假设当地地壳是弹性、均匀、各向同性的半空间由大地测量数据恢复的。在过去的几十年里,空间密集的大地测量数据(如,DInSAR图像)同震形变突出的复杂图案,需要新的模拟工具,譬如能够代表地壳流变学和复杂几何关系的数值方法。在这种研究中,我们发展了一种能对当地地壳进行更加真实解释的有限元反演大地测量数据的方法。这种方法应用于2009年拉奎拉地震(MW6.3),使用了同震位移的DInSAR图形。结果突出了不可忽略的介质结构的影响:均匀和非均匀模型显示的差异占断层滑动分布值的20%。此外,非均匀模型中在震源的上方出现了一个新滑动区。我们对分辨率也进行了研究,显示出由大地测量数据恢复的有关断层滑动分布的信息应被认为是周围片区的平均。
The fault slip distribution is usually recovered from geodetic data by assuming that the local crust is elastic, uniform and isotropic half-space. Over the past few decades, the complex patterns of coseismic deformation of space-intensive geodetic data (eg, DInSAR images) require new modeling tools such as numerical methods that represent crustal rheology and complex geometrical relationships. In this study, we developed a method for the inversion of geodetic data using finite element methods that provide a more realistic explanation of the local crust. This method was applied to the 2009 L’Aquila earthquake (MW 6.3) using DInSAR patterns of coseismic displacements. The results highlight the effects of non-negligible media structures: Uniform and inhomogeneous models show a difference of 20% of the fault slip distribution. In addition, a new slip zone appears above the source in the inhomogeneous model. We also studied the resolution, showing that the information about fault slip distribution recovered from geodetic data should be considered as the average of the surrounding patches.