Piece-wise Linear Dynamic Adjustment for Gravity Network
Based on the status of the distribution and measurements in the national gravity network, a piece-wise linear dynamic adjustment model is introduced and applied to the analysis of the relative gravity observations in order to study the temporal gravity variations in mainland China. Compared with the...
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Surveying and Mapping Press
2016-05-01
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doaj-7c6921b846004c30a3e236f1a32464122020-11-24T23:28:57ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952016-05-0145551152010.11947/j.AGCS.2016.2015036220160502Piece-wise Linear Dynamic Adjustment for Gravity NetworkWEI Shouchun0XU Jianqiao1ZHOU Jiangcun2University of Chinese Academy of Sciences, Beijing 100049, China;State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, ChinaAbstractState Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, ChinaAbstractBased on the status of the distribution and measurements in the national gravity network, a piece-wise linear dynamic adjustment model is introduced and applied to the analysis of the relative gravity observations in order to study the temporal gravity variations in mainland China. Compared with the traditional static adjustment model, more reliable temporal gravity variation characteristics can be given by the new model. To verify the validity of the model, it is processed that the gravity data from the national network and simulated data using the two methods, respectively. For the national gravity network, the mean difference of the rates of gravity changes obtained by the two adjustment methods is 13.4×10<sup>-8</sup> m·s<sup>-2</sup>/a, with a maximum of 50×10<sup>-8</sup> m·s<sup>-2</sup>/a. The precision of the dynamic adjustment is obviously better than the traditional static adjustment. For the simulated data, the rates of gravity change are compared with the theoretical ones at the same points. It is found that over 80% of the differences are less than 1×10<sup>-8</sup> m·s<sup>-2</sup>/a from dynamic adjustment, and only two differences are larger than 2×10<sup>-8</sup> m·s<sup>-2</sup>/a. In contrary, there are only 44.4% of the differences are less than 1×10<sup>-8</sup> m·s<sup>-2</sup>/a from static adjustment, and 21% of the differences are larger than 2×10<sup>-8</sup> m·s<sup>-2</sup>/a. Therefore, the piece-wise linear dynamic adjustment model can provide more reliable information of the temporal gravity changes compared with the traditional static adjustment model.http://html.rhhz.net/CHXB/html/2016-5-511.htmmobile gravity observationnational gravity networkdynamic adjustmentpiece-wise linear model |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
WEI Shouchun XU Jianqiao ZHOU Jiangcun |
spellingShingle |
WEI Shouchun XU Jianqiao ZHOU Jiangcun Piece-wise Linear Dynamic Adjustment for Gravity Network Acta Geodaetica et Cartographica Sinica mobile gravity observation national gravity network dynamic adjustment piece-wise linear model |
author_facet |
WEI Shouchun XU Jianqiao ZHOU Jiangcun |
author_sort |
WEI Shouchun |
title |
Piece-wise Linear Dynamic Adjustment for Gravity Network |
title_short |
Piece-wise Linear Dynamic Adjustment for Gravity Network |
title_full |
Piece-wise Linear Dynamic Adjustment for Gravity Network |
title_fullStr |
Piece-wise Linear Dynamic Adjustment for Gravity Network |
title_full_unstemmed |
Piece-wise Linear Dynamic Adjustment for Gravity Network |
title_sort |
piece-wise linear dynamic adjustment for gravity network |
publisher |
Surveying and Mapping Press |
series |
Acta Geodaetica et Cartographica Sinica |
issn |
1001-1595 1001-1595 |
publishDate |
2016-05-01 |
description |
Based on the status of the distribution and measurements in the national gravity network, a piece-wise linear dynamic adjustment model is introduced and applied to the analysis of the relative gravity observations in order to study the temporal gravity variations in mainland China. Compared with the traditional static adjustment model, more reliable temporal gravity variation characteristics can be given by the new model. To verify the validity of the model, it is processed that the gravity data from the national network and simulated data using the two methods, respectively. For the national gravity network, the mean difference of the rates of gravity changes obtained by the two adjustment methods is 13.4×10<sup>-8</sup> m·s<sup>-2</sup>/a, with a maximum of 50×10<sup>-8</sup> m·s<sup>-2</sup>/a. The precision of the dynamic adjustment is obviously better than the traditional static adjustment. For the simulated data, the rates of gravity change are compared with the theoretical ones at the same points. It is found that over 80% of the differences are less than 1×10<sup>-8</sup> m·s<sup>-2</sup>/a from dynamic adjustment, and only two differences are larger than 2×10<sup>-8</sup> m·s<sup>-2</sup>/a. In contrary, there are only 44.4% of the differences are less than 1×10<sup>-8</sup> m·s<sup>-2</sup>/a from static adjustment, and 21% of the differences are larger than 2×10<sup>-8</sup> m·s<sup>-2</sup>/a. Therefore, the piece-wise linear dynamic adjustment model can provide more reliable information of the temporal gravity changes compared with the traditional static adjustment model. |
topic |
mobile gravity observation national gravity network dynamic adjustment piece-wise linear model |
url |
http://html.rhhz.net/CHXB/html/2016-5-511.htm |
work_keys_str_mv |
AT weishouchun piecewiselineardynamicadjustmentforgravitynetwork AT xujianqiao piecewiselineardynamicadjustmentforgravitynetwork AT zhoujiangcun piecewiselineardynamicadjustmentforgravitynetwork |
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