Stochastic Tomography and Characterization of Crust and Mantle of California

这项研究是为了扩展一种新发展的统计层析成像方法来研究加州地壳和上地幔不同构造单元的速度非均质性。这种方法由主要研究人员和合作者共同开发，被称为随机层析成像，它导致了对地震速度非均质性的更好的深度分辨率。该方法将应用于加利福尼亚州北部的CALNET和南部的猩红地震数据。通过这种方法，研究地震活动区之下的地壳和上地幔，应该完善对低于过去可能水平的构造结构的认识。这项研究是国家减少地震灾害计划的一部分。

This research is to extend a newly developed statistical tomography method to study velocity heterogeneities of different tectonic units of the crust and upper mantle under California. This method, developed by the Principal Investigator and collaborators, is termed Stochastic Tomography and leads to a better depth resolution of heterogeneity of seismic velocities. The method will be applied to seismic data of the CALNET in northern California and the SCARLET in southern California. By means of this method, study of the crust and upper mantle beneath the seismically active regions should refine knowledge of the tectonic structures at levels below what has been possible in the past. This research is a component of the National Earthquake Hazard Reduction Program.