Abstract
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.
Highlights
Moment tensor inversion is an extremely advantageous tool which links the station observations to source models
Addition improving the accuracy ofvelocity the velocity model, wereInadopted to to imquantitatively calculate uncertainties to significantly eliminate theadopted influenceto of quanproving the accuracy of the thesource velocity model, stochastic approaches were anisotropy on moment tensor inversion
To clarify the impact of transverse anisotropy on high-frequency events at the scale from 4 to 5 km/s in P waves and carried out three synthetic tests: (1) directly using of homogeneous meters, we considered an anisotropic medium with 20 levels of anisotropy ranging
Summary
Moment tensor inversion is an extremely advantageous tool which links the station observations to source models. Materna et al (2019), Buijze et al (2019), and Hensch et al (2019) analyzed earthquake nucleation and the rupture process [1–3]. They successfully identified artificial nuclear explosions from natural earthquakes using moment tensor inversion. This technique is increasingly used for recognizing non-double couple earthquakes [4–7], discriminating volcanic events and hydraulic-fracturing induced earthquakes [8–12]. In the past three years, seismic moment tensors have been adopted to analyze spatial and temporal stress variations through stress tensor evaluation [17–20] and to predict ground motions considering focal mechanisms [21–24]. Ma et al (2019) predicted ground motions induced by mining seismic events with different focal mechanisms [1–3]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
