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Cooperative P-Wave Velocity Measurement with Full Waveform Moment Tensor Inversion in Transversely Anisotropic Media.
Ma, Ju; Wu, Shuang; Zhao, Yuan; Zhao, Guoyan.
  • Ma J; School of Resources and Safety Engineering, Central South University, Changsha 410083, China.
  • Wu S; School of Resources and Safety Engineering, Central South University, Changsha 410083, China.
  • Zhao Y; School of Resources and Safety Engineering, Central South University, Changsha 410083, China.
  • Zhao G; School of Resources and Safety Engineering, Central South University, Changsha 410083, China.
Sensors (Basel) ; 22(5)2022 Mar 01.
Article en En | MEDLINE | ID: mdl-35271082
Precise stochastic approaches to quantitatively calculate the source uncertainties offers the opportunity to eliminate the influence of anisotropy on moment tensor inversion. The effects of ignoring anisotropy were tested by using homogeneous Green's functions. Results indicate the influence of anisotropy and noise on fault plane rotation is very small for a pure shear source whether it is restricted to double couple solution or full moment tensor solution. Green's functions with different prior rough anisotropy information were tested, indicating that the complex source is more sensitive to velocity models than the pure shear source and the fault plane rotation caused by full moment tensor solution is larger than the pure double couple solution. Collaborative P-wave velocity inversion with active measurements and passive acoustic emission data using the fast-marching method were conducted, and new Green's functions established based on the tomography results. The resolved fault plane solution rotated only 3.5° when using the new Green's functions, but the presence of spurious isotropic and compensated linear vector dipole components was not completely eliminated. It is concluded that the cooperative inversion is capable of greatly improving the accuracy of the fault plane solutions and reducing the spurious components in the full moment tensor solution.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2022 Tipo del documento: Article