Acta Geodaetica et Cartographica Sinica ›› 2014, Vol. 43 ›› Issue (12): 1217-1223.doi: 10.13485/j.cnki.11-2089.2014.0149

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Analysis of Environmental Loading Effects on Regional GPS Coordinate Time Series

JIANG Weiping1, XIA Chuanyi2,3, LI Zhao2, GUO Qiyou3, ZHANG Shunqi3   

  1. 1. Research Center of GNSS, Wuhan University, Wuhan 430079, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    3. Wuhan Institute of Surveying and Mapping, Wuhan 430012, China
  • Received:2014-07-10 Revised:2014-09-16 Online:2014-12-20 Published:2014-12-23

Abstract:

In order to discuss environmental loading effects on regional GPS coordinate time series, the data which includes Crustal Movement Observation Network of China (CMONOC) measurements from 1999 to 2011 and Wuhan Continuous Operational Satellite Positioning and Serving Syetem (WHCORS) measurements from 2007 to 2012, together with China and around 35 IGS stations measurements are reprocessed by GAMIT, and the GPS fiducial stations coordinate time series under the ITRF2008 are obtained. The effects of environmental loading are then calculated by QOCA to correct the coordinate time series. It is found that the displacements of GPS stations inside China caused by environmental loading exhibit remarkable regional characteristics. Coherent and bigger variations exist in the northeast, north and central China, as well as the southwest regions, among which the biggest root mean square (RMS) of the vertical loading displacement for stations in southwest region(KUNM) reaches up to 6.09 mm. By comparing the corrected and the uncorrected time series, it is found that environmental loading correction could remarkably reduce the non-linear variations of most stations' vertical and east coordinate time series inside China (accounting for about 70% of the selected GPS fiducial stations), among which the biggest reduction in the weighted root mean square (WRMS) reaches 1.5 mm. However, the improvement in the north components is quite limited.

Key words: CMONOC, WHCORS, environmental loading, time series analysis

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