首页|Predicting bathymetry based on vertical gravity gradient anomaly and analyses for various influential factors

Predicting bathymetry based on vertical gravity gradient anomaly and analyses for various influential factors

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
The prediction of bathymetry has advanced significantly with the development of satellite altimetry.However,the majority of its data originate from marine gravity anomaly.In this study,based on the expression of vertical gravity gradient(VGG)of a rectangular prism,the governing equations for determining sea depths to invert bathymetry.The governing equation is solved by linearization through an iterative process,and numerical simulations verify its algorithm and its stability.We also study the processing methods of different interference errors.The regularization method improves the stability of the inversion process for errors.A piecewise bilinear interpolation function roughly replaces the low-frequency error,and numerical simulations show that the accuracy can be improved by 41.2％after this treatment.For variable ocean crust density,simulation simulations verify that the root-mean-square(RMS)error of prediction is approximately 5 m for the sea depth of 6 km if density is chosen as the average one.Finally,two test regions in the South China Sea are predicted and compared with ship soundings data,RMS errors of predictions are 71.1 m and 91.4 m,respectively.

Rectangular prismVertical gravity gradientBathymetryNumerical simulationPrediction error

Huan Xu、Jinhai Yu、Yanyan Zeng、Qiuyu Wang、Yuwei Tian、Zhongmiao Sun

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College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing,China

Beijing Institute of Surveying and Mapping,Beijing,China

National Key Laboratory of Geoinformation Engineering,Xi'an 710054,China

National Nature Science Funds of ChinaFundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities

4227401020230005402023000407

2024

10.1016/j.geog.2023.12.006

大地测量与地球动力学(英文版)
中国地震局地震研究所

大地测量与地球动力学(英文版)

EI
影响因子：0.568
ISSN：1674-9847
年,卷(期)：2024.15(4)
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