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利用残差地形模型空域法精化局部地球重力场
引用本文:刘聪,王正涛,张华伟,许智铭.利用残差地形模型空域法精化局部地球重力场[J].武汉大学学报(信息科学版),2022,47(3):369-376.
作者姓名:刘聪  王正涛  张华伟  许智铭
作者单位:1.武汉大学测绘学院,湖北 武汉,430079
基金项目:国家自然科学基金41474018国家自然科学基金41774019国家自然科学基金41974007
摘    要:陆地高分辨率重力数据是超高阶重力场模型及其应用研究的基础,但现有的观测技术和手段限制了陆地重力测量的覆盖区域,全球仍有大量的重力测量空白地区.采用残差地形模型空域法,利用高通滤波技术提取航天飞机雷达地形测绘任务(shuttle radar topography mission,SRTM)分辨率3"×3"的V4.1数据短...

关 键 词:残差地形模型  数字高程模型  重力场正演  陆地重力场
收稿时间:2020-04-30

Refining Local Earth's Gravity in Spatial Domain with Residual Terrain Modelling Technique
Institution:1.School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China2.Troops 96901, Beijing 100094, China
Abstract:  Objectives  The land high-resolution gravity data is the basis of the research on ultra-high-degree gravity field model and its application.But the existing observation technology and means limit the coverage area of land gravity measurement, and there are still a lot of areas without gravity measurement.  Methods  Based on the residual terrain modelling method, short-wave signal of 3″×3″ resolution shuttle radar topography mission(SRTM) V4.1 data is extracted using high-pass filtering technology, combined with the EGM2008 gravity field model, to inverse and refine local gravity field parameters with 1'×1' resolution. 57 387 points of NGS99 are used to test the local gravity field of America with 1'×1' resolution restored by this method. Then this method is applied to the North China Plain (114°E—117°E, 32°N—35°N), and gravity disturbance and vertical deflection of 1'×1' resolution in this area are calculated.  Results  Compared with EGM2008 model, the root mean square(RMS) of error is reduced from 15.470 mGal to 12.999 mGal. In the North China Plain, the RMS of gravity disturbance is 25.311 mGal, and the RMS of South-North and East-West vertical deflections are 2.215″ and 8.452″, respectively.  Conclusions  This method can effectively improve the resolution of the land gravity field while ensuring the accuracy, and fill in the blank of 1'×1' resolution ground gravity measurement.
Keywords:
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