Pre-CSRM: A 3-D seismic model of the shallow crust in the continental China
Authors/Creators
- 1. University of Science and Technology of China
- 2. Institute of Geophysics, China Earthquake Administration
- 3. China Earthquake Networks Center, China Earthquake Administration
- 4. Department of Geosciences, State University of New York at Stony Brook
Description
This high-resolution shallow three-dimensional seismic model is constructed for the top 10 km of the upper crust in continental China, based on the constraints of P polarization, Rayleigh wave ellipticity and receiver function obtained from records of 3848 seismic stations during 1990 and 2017. The model has a spatial resolution of 0.3 degree * 0.3 degree in the north-south seismic belt and the trans-north China orogen, and 0.5 degree * 0.5 degree in the rest of continental China (except the Tarim basin and southwest Tibet with no station coverage). The seismic constraints used for the construction of the model consist of the 5,439,702 polarization angle measurements from the P-wave waveforms of 9361 tele-seismic earthquakes, the short-period (4 - 8 s) Rayleigh wave ellipticity estimated from the continuous waveforms of seismic ambient noise, and the stacked receiver functions estimated from 2,125,021 original receiver functions calculated based on the waveforms of 9361 tele-seismic events. Please click on link for the datasets.
中国大陆区域地壳顶部10 km范围内高分辨率浅层三维地震学模型利用了中国大陆区域1990 至 2017 年间 3848 个台站的数据提取的 P 波偏振、瑞利波椭率和接收函数作为约束。该模型在南北地震带和华北造山带地区的空间分辨率为 0.3 度 * 0.3 度 ,在中国大陆其他地区的空间分辨率为 0.5 度 * 0.5 度 (除没有台站覆盖的塔里木盆地和西藏西南地区)。构建模型的地震学约束包括从 9361 个远震 的 P 波波形数据测量的 5,439,702 个偏振角度观测、从连续背景噪声波形数据估计的短周期 (4 - 8 s)瑞利波椭率频散观测、和从9361 个远震事件提取的2,125,021条接收函数所计算得到的单台叠加接收函数。下载上述数据库请点击链接。
Reference: Xiao, X., Cheng, S., Wu, J., Wang, W., Sun, L., Wang, X., & Wen, L. (2021). Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function. Geophysical Journal International, 225(2), 998-1019. Paper link
If you face any problem or issue in the usage of these models, Please feel free to communicate with the corresponding author Xiao Xiao: xiaox.seis@gmail.com.