首页|Tomographic inversion of OBS converted shear waves:case study of profile EW6 in the Dongsha area

Tomographic inversion of OBS converted shear waves:case study of profile EW6 in the Dongsha area

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Studies of converted S-wave data recorded on the ocean bottom seismometer(OBS)allow for the estimation of crustal S-wave velocity,from which is further derived the Vp/Vs ratio to constrain the crustal lithology and geophysical properties.Constructing a precise S-wave velocity model is important for deep structural research,and inversion of converted S-waves provides a potential solution.However,the inversion of the converted S-wave remains a weakness because of the complexity of the seismic ray path and the inconsistent conversion interface.In this study,we introduced two travel time correction methods for the S-wave velocity inversion and imaged different S-wave velocity structures in accordance with the corresponding corrected S-wave phases using seismic data of profile EW6 in the northeastern South China Sea(SCS).The two inversion models show a similar trend in velocities,and the velocity difference is<0.15 km/s(mostly in the range of 0-0.1 km/s),indicating the accuracy of the two travel time correction methods and the reliability of the inversion results.According to simulations of seismic ray tracing based on different models,the velocity of sediments is the primary influencing factor in ray tracing for S-wave phases.If the sedimentary layer has high velocities,the near offset crustal S-wave refractions cannot be traced.In contrast,the ray tracing of Moho S-wave reflections was not significantly impacted by the velocity of the sediments.The two travel time correction methods have their own advantages,and the application of different approaches is based on additional requirements.These works provide an important reference for future improvements in converted S-wave research.

converted S-waveS-wave velocity structureinversionocean bottom seismometernortheastern South China Sea

Genggeng Wen、Kuiyuan Wan、Shaohong Xia、Xiuwei Ye、Huilong Xu、Chaoyan Fan、Jinghe Cao、Shunshan Xu

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CEA Key Laboratory of Earthquake Monitoring and Disaster Mitigation Technology,Guangdong Earthquake Agency,Guangzhou 510070,China

Guangdong Science and Technology Collaborative Innovation Center for Earthquake Prevention and Disaster Mitigation,Guangzhou 510070,China

MOE Key Laboratory of Disaster Forecast and Control in Engineering-Urban Earthquake Safety Laboratory,Guangzhou 510070,China

CAS Key Laboratory of Ocean and Marginal Sea Geology,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301,China

Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),Guangzhou 511458,China

Centro de Geociencias,Universidad Nacional Autónoma de México,Querétaro,C.P.76230,Mexico

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaSeismological Research Foundation for Youths of Guangdong Earthquake AgencyStrategic Priority Research Program of Chinese Academy of SciencesScience and Technology Planning Project of Guangdong Province-Guangdong Collaborative Innovation Center for Earthquake Preve

4227606242006071GDDZY202307XDA220203032018B020207011

2024

10.1007/s13131-023-2274-7

海洋学报(英文版)
中国海洋学会

海洋学报(英文版)

CSTPCD
影响因子：0.323
ISSN：0253-505X
年,卷(期)：2024.43(8)
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