测绘学报 ›› 2014, Vol. 43 ›› Issue (12): 1217-1223.doi: 10.13485/j.cnki.11-2089.2014.0149

• 学术论文 • 上一篇    下一篇

环境负载对区域GPS基准站时间序列的影响分析

姜卫平1, 夏传义2,3, 李昭2, 郭启幼3, 张顺期3   

  1. 1. 武汉大学 卫星导航定位技术研究中心, 湖北 武汉 430079;
    2. 武汉大学 测绘学院, 湖北 武汉 430079;
    3. 武汉市测绘研究院, 湖北 武汉 430012
  • 收稿日期:2014-07-10 修回日期:2014-09-16 出版日期:2014-12-20 发布日期:2014-12-23
  • 通讯作者: 夏传义 E-mail:cyxia2007@126.com
  • 作者简介:姜卫平(1972-),男,教授,博士生导师,主要从事空间大地测量和地球动力学研究.wpjiang@whu.edu.cn
  • 基金资助:

    国家863计划(2012AA12A209);国家自然科学基金(41374033)

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

摘要:

基于1999—2011年中国地壳运动观测网络(CMONOC)及2007—2012年武汉市连续运行卫星定位服务系统(WHCORS)的观测数据,联合中国及周边35个IGS基准站数据,采用GAMIT软件解算,获得了ITRF2008框架下的GPS基准站坐标时间序列.然后采用QOCA计算了环境负载位移,并利用其对GPS时间序列进行改正.研究结果表明环境负载造成的中国区域基准站位移呈现显著的区域性特征,东北、华北、华中区域变化较为一致且较大,西南区域基准站(KUNM)垂直方向的负载位移均方根(RMS)最大值达6.09 mm.通过对改正前后的数据进行时间序列分析,认为环境负载改正能够削弱中国区域大多数GPS基准站(约70%)垂直及水平东方向位移时间序列的非线性变化,其加权均方根(WRMS)减小量最大达1.5 mm,但是对于水平北方向坐标时间序列的改善作用不明显.

关键词: 中国地壳运动观测网络, 武汉市连续运行卫星定位服务系统, 环境负载, 时间序列分析

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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