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Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas

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成果类型:
期刊论文
作者:
Wu, Guiju;Yu, Fei;Tan, Hongbo;Wang, Jiapei;Liu, Weihua
通讯作者:
Wu, GJ
作者机构:
[Wu, Guiju; Yu, Fei; Wu, GJ; Tan, Hongbo; Wang, Jiapei] CEA, Inst Seismol, Key Lab Earthquake Geodesy, Wuhan 430071, Peoples R China.
[Liu, Weihua] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430023, Peoples R China.
通讯机构:
[Wu, GJ ] C
CEA, Inst Seismol, Key Lab Earthquake Geodesy, Wuhan 430071, Peoples R China.
语种:
英文
关键词:
Bouguer gravity anomaly;Red River fault;apparent density imaging;bilinear interpolation;gravity field model data
期刊:
Sensors
ISSN:
1424-8220
年:
2025
卷:
25
期:
4
基金类别:
National Natural Science Foundation of China (NSFC) [42074172, 41774015]; key project of the Earthquake Spark Plan [XH21021]
机构署名:
本校为其他机构
院系归属:
电气与电子工程学院
摘要:
The geological structure in the Red River fault zone (RRF) and adjacent areas is complex. Due to the lack of high-precision gravity data in the study area, it is difficult to obtain the distribution of materials within the Earth's crust. In this study, a gravity data-fused method is proposed. The Moho depth model data are utilized to construct the gravity anomaly trend, and the mapping relation between the gravity field model data and the measured gravity data is established. Using 934 high-precision measured gravity data as control points, the bilinear interpolation method is used to calculat...

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