文献类型：期刊文献

英文题名：Gravity field modeling in mountainous areas based on band-limited SRBFs

作者：Ma, Zhiwei[1]

第一作者：Ma, Zhiwei

通讯作者：Ma, ZW[1]

机构：[1]Henan Univ Econ & Law, Sch Engn Management & Real Estate, 180 Jinshui East Rd, Zhengzhou City, Henan Province, Peoples R China

第一机构：河南财经政法大学工程管理与房地产学院

通讯机构：[1]corresponding author), Henan Univ Econ & Law, Sch Engn Management & Real Estate, 180 Jinshui East Rd, Zhengzhou City, Henan Province, Peoples R China.|[1048420]河南财经政法大学工程管理与房地产学院;[10484]河南财经政法大学;

年份：2024

卷号：98

期号：5

外文期刊名：JOURNAL OF GEODESY

收录：;Scopus(收录号：2-s2.0-85193608741);WOS:【SCI-EXPANDED(收录号:WOS:001227408700001)】；

基金：The author sincerely appreciates the valuable comments and suggestions provided by the editors and all the anonymous reviewers. Without their invaluable assistance, this paper could not have reached its current form. Additionally, heartfelt thanks go to the US National Geodetic Survey for generously sharing terrestrial, airborne gravity, and GPS/leveling data, which significantly contributed to this research.

语种：英文

外文关键词：Band-limited SRBFs; Mountainous areas; Regional gravity field modeling; Two-scale SRBF modeling method

摘要：In this study, a novel two-scale spherical radial basis function (SRBF) modeling method is proposed for regional gravity field determination. First, satellite-only global gravity field models (GGMs) are combined with airborne gravity data at medium-frequency bands, and a series of combined gravity field models based on band-limited SRBFs are established for the mountainous areas of California and Oregon. The combined gravity field models are then compared with the airborne-only gravity field models. The results show that the combined models exhibit standard deviation (STD) values of 0.106-0.120 m in terms of geoid height differences w.r.t. the global positioning system (GPS)/leveling data, while the corresponding airborne-only models yield STD values of 0.126-0.131 m. The STD values of the combined models are reduced by 0.9-2.0 cm, which implies a potential benefit for the medium-frequency gravity field modeling by combining GGM and airborne gravity data. Second, after removing the low-frequency and medium-frequency gravity field signals as well as the residual terrain model signals from gravity data, a second SRBF modeling process is implemented using multisource residual gravity data. Subsequently, a high-resolution two-scale SRBF gravity field model is constructed for the mountainous areas of California and Oregon. The results indicate that the STD of geoid height differences for the two-scale SRBF model w.r.t. the GPS/leveling data is 0.098 m, with reductions of 3.0-6.2 cm compared to the models based on the single-scale SRBF modeling method. These findings indicate the effectiveness of the two-scale SRBF modeling method for refining the regional gravity field model in complex areas.