Enhanced gravity-geologic method to predict bathymetry by considering non-linear effects of surrounding seafloor topography

Author:

Jiang Xiao1,Guo Jinyun1ORCID,Lin Miao2ORCID,Sun Heping3,Jiang Tao4

Affiliation:

1. College of Geodesy and Geomatics, Shandong University of Science and Technology , Qingdao 266590 , China

2. College of Civil Engineering, Xiangtan University , Xiangtan 411105 , China

3. State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy of Precision Measurement Science and Technology, Chinese Academy of Sciences , Wuhan 430077 , China

4. Chinese Academy of Surveying and Mapping , Beijing 100036 , China

Abstract

SUMMARY The gravity-geological method (GGM) is an approach that utilizes marine gravity anomalies (GAs) and shipborne bathymetric data to invert seafloor topography by resolving short-wavelength GAs through the Bouguer Plate approximation. Such an approximation ignores the non-linear effects caused by surrounding seafloor topographical undulations that actually exist in short-wavelength GAs, and thus leaving the space for further modification of GGM. This study thoroughly derives the relationship between seafloor topography and GA, as well as the formula of GGM. Then, we propose a self-adaptive method to improve the accuracy of the inversion significantly: the enhanced GGM (EGGM). The method uses the equivalent mass line method to approximate the non-linear gravitational effects of the surrounding seafloor topography to correct the short-wavelength GAs. By introducing two optimal density contrast parameters, EGGM has been designed to effectively integrate the combined effects of various non-linear factors to a certain extent. The accuracy of the seafloor topography models, produced with a spatial resolution of 1′ × 1′, was evaluated over the study area (132°E–136°E, 36°N–40°N) located in the Sea of Japan. The results indicate that the accuracy of EGGM has a relative improvement of 13.73 per cent compared to that of GGM in the overall study area, while the accuracy of both models is higher than that of the SIO_unadjusted model. The study further investigated the feasibility and stability of EGGM by examining the accuracy of both GGM and EGGM in various water depth ranges and areas with diverse terrain characteristics.

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

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