High‐Resolution Lithospheric Velocity Structure of Continental China by Double‐Difference Seismic Travel‐Time Tomography

SEISMOLOGICAL RESEARCH LETTERS(2019)

引用 106|浏览8
暂无评分
摘要
To determine high-resolution V-P and V-S models of the lithosphere of continental China, we assembled numerous highquality arrival-time data from 11,953 earthquakes recorded by the China Digital Seismic Network. Double-difference (DD) seismic tomography is applied to simultaneously determine earthquake locations and V-P andV(S) models. Two inversion grids with grid intervals of 1 degrees and 0.5 degrees are sequentially used. The inverted velocity models with the coarser grid are used as the initial models for the finer grid. For the inversion with the coarser grid, the 3D V-S model from ambient noise tomography and the converted V-P model based on an empirical relationship between V-P and V-S are used as the initial models. The checkerboard resolution test shows that with the current data configuration both V-P and V-S models down to 150 km have a spatial resolution of 1 degrees in the horizontal direction in most of continental China and up to 0.5 degrees in eastern China. The inverted velocity models are further validated by arrival times from active sources and surface-wave data. The V-P model is also consistent with that along the deep seismic sounding (DSS) profile. High-resolution V-P and V-S models of crust and upper mantle down to 150 km provide important constraints on tectonics beneath continental China. We name the inverted velocity models as USTClitho 1.0 (Unified Seismic Tomography models for continental China lithosphere) for easy reference. Overall, our tomographic images in the shallow crust correlate well with surface geology. In the deeper part, our velocity models show some well-known features, such as a low-velocity layer in the middle crust beneath the Tibetan plateau (TP) and a thin lithosphere beneath the North China craton.
更多
查看译文
关键词
lithospheric velocity structure,continental china,tomography
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要