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作 者:Xinai Zhao Jing Wu
机构地区:[1]State Key Laboratory of Lithospheric Evolution,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing,100029,China [2]College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing,100049,China
出 处:《Earthquake Research Advances》2024年第3期82-91,共10页地震研究进展(英文)
基 金:supported by State Key Laboratory of Lithospheric Evolution,Institute of Geology and Geophysics,Chinese Academy of Sciences(SKL-202204 and SKL-202305);the National Natural Science Foundation of China (42274131 and 41774111)。
摘 要:Seismic anisotropy reveals that seismic wave velocity, amplitude, and other physical properties show variations in different directions, which can be divided into lattice-preferred orientation(LPO) and shape-preferred orientation(SPO) according to its physical mechanisms. The main methods for studying seismic anisotropy include shearwave splitting analysis, P-wave travel time inversion and surface-wave tomography, etc. There are some differences and correlations among these methods. Seismic anisotropy is an important way to reveal the dynamic processes of crust-mantle evolution, and it is significant for monitoring crustal stress changes and improve seismic exploration studies. With the help of long-term observation, the application of machine learning techniques and combining inversion based on multiple phases would become potential developments in seismic anisotropy studies. This may improve the understanding of complex seismic anisotropic models, such as multiple layers anisotropy with an oblique axis of symmetry.
关 键 词:Seismic anisotropy Shear-wave splitting P-wave travel time inversion Surface-wave tomography
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