Application of the Fourier Series Expansion Method for the Inversion of Gravity Gradients using Gravity Anomalies

被引:1
|
作者
Liu, Bei [1 ,4 ]
Bian, Shaofeng [2 ,3 ]
Ji, Bing [1 ]
Wu, Shuguang [1 ]
Xian, Pengfei [1 ]
Chen, Cheng [1 ]
Zhang, Ruichen [1 ]
机构
[1] Naval Univ Engn, Dept Nav, Wuhan 430033, Peoples R China
[2] China Univ Geosci, Sch Geog & Informat Engn, Wuhan 430033, Peoples R China
[3] China Univ Geosci, Key Lab Geol Explorat & Evaluat, Minist Educ, Wuhan 430033, Peoples R China
[4] Guangxi Key Lab Spatial Informat & Geomatics, Guilin 530001, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Fourier series expansion; gravity; gravity gradient; inversion model; AIRBORNE GRAVITY; GRADIOMETRY; TERRAIN;
D O I
10.3390/rs15010230
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate and highly precise gravity gradient data are an important component of, for example, gravity field modeling, seabed topography inversion, and resource exploration. However, high-precision gravity gradient data are difficult to obtain. To address this difficulty, this work introduces the Fourier series expansion method to the modeling of gravity gradient fields. Based on gravity anomalies, the analytic expressions of the gravity gradient tensors have been deduced, which provides a new mathematical method for obtaining gravity gradient data. The expression's derivation and verification processes are as follows. First, these analytic expressions for inverting the gravity gradient based on gravity anomaly data are derived according to the Laplace equation, the boundary value conditions of spherical approximation, and the Fourier series expansion method. Then, global 1' x 1' gravity field data provided by UCSD are used to verify the accuracy of these formulas. Finally, the results are analyzed. The experimental results show that the results obtained based on this inversion formula can sufficiently show the details of gravity gradient changes. The formulas derived in this paper have good computational efficiency in the inversion of regional gravity gradients and provide a new mathematical method for gravity gradient data acquisition.
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页数:16
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