Regional Gravity Field Model of Egypt Based on Satellite and Terrestrial Data

被引:9
|
作者
Sobh, Mohamed [1 ,2 ]
Mansi, Ahmed Hamdi [3 ,4 ]
Campbell, Simon [5 ]
Ebbing, Joerg [1 ]
机构
[1] Christian Albrechts Univ Kiel, Inst Geosci, Otto Hahn Pl 1, D-24118 Kiel, Germany
[2] NRIAG, Geodynam Dept, Cairo 11421, Egypt
[3] Ist Nazl Geofis & Vulcanol, Sez Pisa, Via U Faggiola 32, I-56126 Pisa, PI, Italy
[4] Politecn Milan, Dept Civil & Environm Engn, Piazza Leonardo da Vinci 32, Milan, Italy
[5] Getech UK, Grav & Magnet Solut, Kitson House,Elmete Hall,Elmete Lane, Leeds LS8 2LJ, W Yorkshire, England
关键词
GOCE-based models; remove-compute-restore (RCR); XGM2016; combined gravity model; density modelling; AIRBORNE; GOCE;
D O I
10.1007/s00024-018-1982-y
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This study presents a recent combined regional gravity field model over Egypt, developed by integrating satellite and terrestrial data via applying the remove-compute-restore (RCR) principle and the least-squares collocation (LSC) procedure. A high-resolution digital terrain model was exploited for the computation of the terrain and residual terrain corrections. Hereby, all the signals that can be modelled or deterministically computed are considered known and then removed in order to reduce the order of magnitude of the input gravity data prior to applying the LSC. Several GOCE-only and combined global geopotential models (GGMs) have been thoroughly investigated with respect to the EGM2008, in which the space-wise (SPW) solution, namely the SPW-R5 model, demonstrated the best performance. For the development of the combined model, the SPW-R5 GGM has been integrated with both the EGM2008 GGM and the terrestrial data retrieved from 56,250 gravity stations of the Getech data, acquired in the framework of the African Gravity Project. The combined regional gravity model was compared to the state-of-art XGM2016 global gravity model. The standard deviation of the differences is 18.0 mGal in terms of Bouguer anomalies. The combined regional model fits well with the terrestrial gravity data along the chosen North-South oriented profile through the Nile Delta region. The improvements of the developed combined regional model over the XGM2016 are due to the use of a more extensive terrestrial dataset. In conclusion, our model is more suitable than solely using the ground data or GGMs for regional density modelling over Egypt. As an example, the comparison of using a global or regionally defined gravity model with the forward gravity modelling based on Saleh (Acta Geodaetica et Geophysica Hungarica 47(4):402-429, 2012) density model is performed.
引用
下载
收藏
页码:767 / 786
页数:20
相关论文
共 50 条
  • [41] Uncertainty propagation through integral inversion of satellite gradient data in regional gravity field recovery
    Mehdi Eshagh
    Martin Pitoňák
    Pavel Novák
    Journal of Geodesy, 2025, 99 (2)
  • [42] On Numerical methods for determination of Earth gravity field model using mass satellite gravity gradiometry data
    Zhu Guangbin Chang XiaotaoLi XinfaZhang Xinhang and Li Yuxing Satellite Surveying and Mapping Application CenterNASGBejing China The First Institute of Surveying and Mapping of Hebei ProvinceShijiazhuang China
    Geodesy and Geodynamics, 2012, 3 (01) : 57 - 62
  • [43] On Numerical methods for determination of Earth gravity field model using mass satellite gravity gradiometry data
    Zhu Guangbin
    Chang Xiaotao
    Li Xinfa
    Zhang Xinhang
    Li Yuxing
    GEODESY AND GEODYNAMICS, 2012, 3 (01) : 57 - 62
  • [45] On a Combined Use of Satellite and Terrestrial Data in Refined Studies on Earth Gravity Field: Boundary Problems and a Target Function
    Holota, P.
    Nesvadba, O.
    GEODESY FOR PLANET EARTH: PROCEEDINGS OF THE 2009 IAG SYMPOSIUM, 2012, 136 : 195 - 204
  • [46] Combining terrestrial, marine, and satellite gravity data to compute gravity potential values at IHRF stations
    Leticia Cristina Ribeiro
    Gabriel do Nascimento Guimarães
    Giuliano Sant’Anna Marotta
    Applied Geomatics, 2023, 15 : 455 - 472
  • [47] Combining terrestrial, marine, and satellite gravity data to compute gravity potential values at IHRF stations
    Ribeiro, Leticia Cristina
    Guimaraes, Gabriel do Nascimento
    Marotta, Giuliano Sant'Anna
    APPLIED GEOMATICS, 2023, 15 (02) : 455 - 472
  • [48] Decorrelation filtering methods for gravity field recovery based on satellite acceleration data
    Ning, Jinsheng
    Zhong, Bo
    Luo, Zhicai
    Wang, Haihong
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2010, 39 (04): : 331 - 337
  • [49] Mars gravity field from satellite-to-satellite Doppler data
    Vijayarahavan, A
    ASTRODYNAMICS 1995, 1996, 90 : 225 - 238
  • [50] GRAVITY FIELD EFFECTS ON SATELLITE LASER RANGING DATA
    KOLENKIE.R
    SMITH, DE
    DUNN, PJ
    WAGNER, CA
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1973, 54 (03): : 126 - 126