EGU2020-6381
https://doi.org/10.5194/egusphere-egu2020-6381
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Layered anisotropy beneath the Japan Sea and NE China from inversion of surface wave dispersion using rj-MCMC method

Yanzhe Zhao1, Zhen Guo2, Xingli Fan2, and Yanbin Wang1
Yanzhe Zhao et al.
  • 1Department of Geophysics, School of earth and space sciences, Peking University, Beijing 100871, China (1801210201@pku.edu.cn)
  • 2Department of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China (guoz3@sustech.edu.cn)

The surface wave dispersion data with azimuthal anisotropy can be used to invert for the wavespeed azimuthal anisotropy, which provides essential dynamic information about depth-varying deformation of the Earth’s interior. In this study, we adopt an rj-MCMC (reversible jump Markov Chain Monte Carlo) technique to invert for crustal and upper mantle shear velocity and azimuthal anisotropy beneath the Japan Sea using Rayleigh wave azimuthally anisotropic phase velocity measurements from Fan et al. (2019). The rj-MCMC implements trans-dimensional sampling in the whole model space and derives the distribution for each model parameter (shear wave velocity and anisotropy parameters) directly from data. Without the prejudiced parameterization for model, the result can be more credible, from which some more reliable estimates for shear wave velocity and azimuthal anisotropy as well as their uncertainties can be acquired. Our preliminary results, together with shear wave splitting observations, show a layered anisotropy beneath the Japan Sea and NE China, suggesting the complicated mantle flow that is controlled by the subduction of the Pacific plate and the large-scale upwelling beneath the Changbaishan volcano.

How to cite: Zhao, Y., Guo, Z., Fan, X., and Wang, Y.: Layered anisotropy beneath the Japan Sea and NE China from inversion of surface wave dispersion using rj-MCMC method, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6381, https://doi.org/10.5194/egusphere-egu2020-6381, 2020

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