组合重力场模型的精度及其适用性分析

详细信息    查看全文 | 推荐本文 |

英文篇名：Analysis of the accuracy and applicability of combined gravity field model 作者：马艳鸽 ; 郭春喜 ; 张盼盼 英文作者：MA Yange;GUO Chunxi;ZHANG Panpan;School of Geology Engineering and Geomatics,Chang'an University;Geodetic Data Processing Center,State Bureau of Surveying and Mapping; 关键词：长波误差 ; 截断阶次 ; 组合重力场模型 ; 高程拟合 英文关键词：long wave error;;truncated order;;combined gravity field model;;height fitting 中文刊名：CHGC 英文刊名：Engineering of Surveying and Mapping 机构：长安大学地质工程与测绘学院;国家测绘地理信息局大地测量数据处理中心; 出版日期：2018-07-25 出版单位：测绘工程 年：2018 期：v.27 语种：中文; 页：CHGC201807005 页数：6 CN：07 ISSN：23-1394/TF 分类号：21-26

摘要

针对EGM2008、GECO及EIGEN-6C4重力场模型存在长波误差的情况,利用GNSS/水准数据在分析EGM2008、GECO及EIGEN-6C4模型高程异常精度基础上,分析GOCO03S、GO_CONS_GCF_2_DIR_R5、GO_CONS_GCF_2_SPW_R2、GO_CONS_GCF_2_TIM_R5 4个纯卫星重力场模型与EGM2008、GECO及EIGEN-6C4模型在不同阶次组合的精度,进而选取可靠的截断阶次确定组合重力场模型。计算结果表明:与EGM2008、GECO及EIGEN-6C4模型相比,各自对应的组合重力场模型高程异常精度最优分别可达0.061m、0.054m和0.059m,对应精度提升幅度分别为18%、31%和24%,因此,组合重力场模型能提高重力场模型高程异常的精度;利用EGM2008、GECO及EIGEN-6C4模型进行高程拟合的精度与利用组合重力场模型进行高程拟合的精度相当,这说明EGM2008、GECO及EIGEN-6C4模型存在的长波段误差也可通过一定的拟合模型进行削弱。
        Because of EGM2008,GECO and EIGEN-6 C4 gravity field models with a long wave error,the GNSS/leveling data is used on the basis of analyzing the height anomaly accuracy of EGM2008,GECO and EIGEN-6 C4 models.Analysis is made on the accuracy of GOCO03 S、GO_CONS_GCF_2_DIR_R5、GO_CONS_GCF_2_SPW_R2、GO_CONS_GCF_2_TIM_R5 four pure satellite gravity field models in different order combinations with EGM2008,GECO and EIGEN-6 C4 models.Then a reliable truncation order is selected to determine the combined gravity field model.The result shows that compared with EGM2008,GECO and EIGEN-6 C4 models,the height anomaly accuracy of their respective combined gravity field models can reach 0.061 m,0.054 m and 0.059 m respectively,and the corresponding accuracy improvement ranges are 18%,31% and 24%,respectively.Therefore,the combined gravity field model can improve the accuracy of the height anomaly of the gravity field model;the accuracy of height fitting using EGM2008,GECO and EIGEN-6 C4 models is equivalent to the combined gravity field model,which indicates that the long range error of EGM2008,GECO and EIGEN-6 C4 models can also be weakened by fitting the model.

引文

[1]魏子卿.GPS重力位水准[J].大地测量与地球动力学,2007,27(4):1-7.
    [2]魏子卿,王刚.用地球位模型和GPS/水准数据确定我国大陆似大地水准面[J].测绘学报,2003,32(1):1-5.
    [3]张兴福,李博峰,魏德宏,等.多类重力场模型的精度分析及联合确定GPS点正常高的方法[J].测绘学报,2013,42(1):6-12.
    [4]谭衍涛,黄健鹏,黄国荣,等.重力场模型及GNSS/水准的区域似大地水准面精化[J].测绘科学,2016,41(4):5-9.
    [5]PAVLIS N K,HOLMES S A,KENYON S C,et al.Correction to“The Development and Evaluation of the Earth Gravitational Model 2008(EGM2008)”[J].Journal of Geophysical Research Solid Earth,2013,118(5):2633-2633.
    [6]GILARDONI M,REGUZZONI M,SAMPIETRO D.GECO:aglobal gravity model by locally combining GOCE data and EGM2008[J].Studia Geophysica Et Geodaetica,2016,60(2):228-247.
    [7]KOSTELECKJ,KLOKOCNK J,BUCHA B,et al.Evaluation of gravity field model EIGEN-6C4by means of various functions of gravity potential,and by GNSS/levelling[J].2015,14(1):7.
    [8]WANG Y M,SALEH J,LI X,et al.The US Gravimetric Geoid of 2009(USGG2009):model development and evaluation[J].Journal of Geodesy,2012,86(3):165-180.
    [9]徐南,严朝霞,马符讯.基于遗传算法的多面函数GPS高程拟合模型[J].工程勘察,2013,41(11):50-52.
    [10]冯进凯,王庆宾,黄佳喜,等.多个超高阶重力场模型精度分析[J].测绘科学技术学报,2017,34(04):358-363.
    [11]翟长治,姚宜斌,岳顺.基于EGM2008和剩余地形模型的区域似大地水准面精化方法[J].大地测量与地球动力学,2015,35(6):941-944.
    [12]MAYERGUERR T,RIESER D,HCK E,et al.The new combined satellite only model GOCO03s[J].International Symposium on Gravity Geoid&Height Systems Gghs Venice Italy,2012.
    [13]郑增记,曹建平,范丽红,等.基于GOCE卫星数据的重力场模型比较研究[J].大地测量与地球动力学,2014,34(6):109-113.
    [14]章传银,郭春喜,陈俊勇,等.EGM 2008地球重力场模型在中国大陆适用性分析[J].测绘学报,2009,38(4):283-289.
    [15]HIRT C,FEATHERSTONE W E,MARTI U.Combining EGM2008and SRTM/DTM2006.0residual terrain model data to improve quasigeoid computations in mountainous areas devoid of gravity data[J].Journal of Geodesy,2010,84(9):557-567.
    [16]郑增记.基于GOCE重力场模型与地形改正的似大地水准面精化[D].西安:长安大学,2013.
    [17]韩建成.基于地球重力场模型和地表浅层重力位确定大地水准面[D].武汉:武汉大学,2012.