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Community Velocity Model of SW China (SWChinaCVM-1.0, 2.0) 

 We have constructed the 3-D P- and S-wave community velocity model of the crust and uppermost mantle in southwest China (SWChinaCVM-1.0, SWChinaCVM-2.0), obtained by joint body and surface wave traveltime tomography. This work is supported by the China Seismic Experimental Site(CSES).

The SWChinaCVM-1.0 was constructed by Prof. Huajian Yao's group, mainly using the data from permanent stations and some temporary array stations (about 200 stations). This model has a lateral resolution of about 50-75 km in the crust and about 75 km in the uppermost mantle.

The SWChinaCVM-2.0 was constructed jointly by Prof. Huajian Yao's group (Ying Liu, Zhiqi Zhang, Huajian Yao) and Prof. Weitao Wang's group in CEA (Ziye Yu, Yunpeng Zhang, Weitao Wang), also including data from about 1000 temporary stations. This model has a lateral resolution of about 25-50 km in the crust and about 50 km in the uppermost mantle. (see recent news about this model in Chinese https://www.cses.ac.cn/sjcp/ggmx/2022/589.shtml )

Model Data Download:

SWChinaCVM-1.0 https://github.com/liuyingustc/SWChinaCVM

SWChinaCVM-2.0: https://github.com/liuyingustc/SWChinaCVM-V2.0

If you have any questions, please feel free to contact Huajian Yao (hjyao@ustc.edu.cn) or Ying Liu (liuying7@ustc.edu.cn).

References:

      Fang, H., Zhang, H., Yao, H., Allam, A., Zigone, D., Ben‐Zion, Y., Thurber, C., & vanderHilst, R. D. (2016). A new algorithm for three‐dimensional joint inversion of body wave and surface wave data and its application to the Southern California plate boundary region. Journal of Geophysical Research: Solid Earth, 121(5), 3557–3569. https://doi.org/10.1002/2015JB012702

  Liu, Y., Yao, H., Zhang, H., & Fang, H. (2021). The community velocity model v. 1. 0 of southwest china, constructed from joint body- and surface-wave travel-time tomography. Seismological Research Letters, 92(5), 2972–2987. https://doi.org/10.1785/0220200318

  Maeda, N. (1985). A method for reading and checking phase time in auto-processing system of seismic wave data. Zisin (Journal of the Seismological Society of Japan. 2nd Ser.), 38(3), 365–379. https://doi.org/10.4294/zisin1948.38.3_365

  Qiao, L., Yao, H., Lai, Y.-C., Huang, B.-S., & Zhang, P. (2018). Crustal structure of southwest china and northern vietnam from ambient noise tomography: Implication for the large-scale material transport model in se tibet. Tectonics, 37(5), 1492–1506. https://doi.org/10.1029/2018TC004957

  Yao, H. (2020). Building the community velocity model in the Sichuan-Yunnan region, China: Strategies and progresses. Science China Earth Sciences, 63(9), 1425–1428. https://doi.org/10.1007/s11430-020-9645-3

  Yao, H., van der Hilst, R. D., & de Hoop, M. V. (2006). Surface-wave array tomography in SE Tibet from ambient seismic noise and two-station analysis—I. Phase velocity maps. Geophysical Journal International, 166(2), 732–744. https://doi.org/10.1111/j.1365-246X.2006.03028.x

  Yao, H., van der Hilst, R. D., & Montagner, J.-P. (2010). Heterogeneity and anisotropy of the lithosphere of SE Tibet from surface wave array tomography. Journal of Geophysical Research, 115(B12), B12307. https://doi.org/10.1029/2009JB007142

  Yu Ziye &Wang Weitao,LPPN: A Lightweight Network for Fast Phase Picking. Seismological Research Letters 2022; doi: https://doi.org/10.1785/0220210309




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