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The Layered Shear-Wave Velocity Structure of the Crust and Uppermost Mantle in China

Earth Resources Laboratory, Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 54-1820, Cambridge, Massachusetts 02142 youshun{at}mit.edu

Shunping Pei

Institute of Tibetan Plateau Research, Chinese Academy of Sciences, 18 Shuangqing Road, P.O. Box 2871, Beijing 100085, China peisp{at}itpcas.ac.cn

F. Dale Morgan

Earth Resources Laboratory, Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 54-1820, Cambridge, Massachusetts 02142

Online Material: P- and S-wave velocity models.

We present a layered shear-wave velocity structure of the crust and uppermost mantle of China and the surrounding area. We apply an adaptive moving window (Sun, Li, et al., 2004) to construct the S-wave velocity model from high-quality body-wave phase data extracted from the Annual Bulletin of Chinese Earthquakes (ABCE). More than 350,000 S-wave arrivals are used, spanning from 1990 to 2004. The study area is represented by a 1° geographic grid consisting of 2338 points. At each point, 1D S-velocity-depth profiles are determined independently from the surface to the uppermost mantle; this is accomplished by performing a Monte Carlo random search of optimum layer parameters (thickness and velocity) via minimizing travel-time misfits for fixed earthquake locations. Each profile contains a four-layer crust and a one-layer uppermost mantle. A final 3D model is obtained by combining and smoothing the 1D models. The obtained S-wave model has a good correlation with the previously published P-wave model using the same method (Sun, Li, et al., 2004) and reveals key tectonic features such as the low velocity crust beneath Tibet. Our S-wave model is generally consistent with the existing regional/local models constructed from body-wave travel-time tomography, and provides more detailed structure in both horizontal and vertical directions compared with the model derived from surface wave inversion. Based on our P- and S-wave models, the generated synthetic seismograms fit well with the observed seismograms recorded at broadband stations.