Abstract
We have developed a new joint inversion method that incorporates body wave arrival times, surface wave dispersion and receiver functions to simultaneously update earthquake locations and constrain three-dimensional P-wave (Vp) and S-wave velocity (Vs) models. Due to complementary sensitivities of the three types of data, the proposed joint inversion algorithm can reduce the intrinsic non-uniqueness of inversions using fewer types of data and better determine smooth velocity variations and velocity discontinuities. Synthetic tests demonstrate the advantages of this new joint inversion algorithm in resolving velocity structures, especially in constraining velocity gradients across the Moho interface. We have applied the proposed joint inversion algorithm to image the lithosphere velocity structure of south China. The inverted Vp and Vs models fit body wave arrival times, surface wave dispersion and receiver functions well. We further analyzed the distribution of Vs gradients across the Moho interface in detail, which helps us better understand tectonics in south China.
| Original language | English |
|---|---|
| Article number | e2022JB024083 |
| Journal | Journal of Geophysical Research: Solid Earth |
| Volume | 127 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 2022 |
Funding
We are grateful to Weisen Shen for providing surface wave dispersion data used in the application to south China. We acknowledge comments from Dr. Michael Bostock (the Editor), an Associate Editor, Dr. Jordi Julià, and one anonymous referee that help to improve the paper. This research is supported by National Natural Science Foundation of China under grant U1839205, the Strategic Priority Research Program of the Chinese Academy of Sciences under grant XDB41000000, and the Fundamental Research Funds for the Central Universities under grant WK2080000.
Keywords
- joint inversion
- moho
- seismic tomography
- south China