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针对汾渭断陷带及邻近地区2011—2013年陆态网络工程36个GPS连续站和227个流动观测区域站的GAMIT/GLBOK处理结果中存在的非构造噪声,借助QOCA软件剔除连续站位移序列中的周期性成分和共模误差等非构造形变的信息,使地壳监测中GPS连续站水平运动速度的精度提高约0.3mm/a,垂直运动速度的精度提高了约0.6mm/a。针对流动观测区域站中的噪声,提出了使用QOCA软件对GPS连续站的后处理参数信息构建Delaunay三角网,结合反距离内插算法,实现了GPS区域站中非构造噪声的剔除,使GPS区域站流动监测中水平运动速度的精度提高了约0.6mm/a,垂直运动速度的精度提高约1.7mm/a,为地震监测提供了精确的基础数据。
Aiming at the non-structural noise existing in the GAMIT / GLBOK processing results of 36 GPS continuous stations and 227 flow observation stations in the 2011-2013 terrestrial network project in Fenwei fault zone and its adjacent areas, the QOCA software is used to remove the continuous station displacement sequence The information of non-tectonic deformations, such as periodic components and common-mode errors, improves the accuracy of the horizontal movement velocity of GPS continuous stations in crustal monitoring by about 0.3mm / a and the accuracy of vertical movement velocity by about 0.6mm / a. Aiming at the noise in the mobile observation area station, this paper proposes to construct the Delaunay triangulation network by using QOCA software, and combine the inverse distance interpolation algorithm to eliminate the non-structural noise in the GPS area station. The GPS area The accuracy of horizontal movement velocity in station flow monitoring is increased by about 0.6mm / a, and the accuracy of vertical movement velocity is increased by about 1.7mm / a, which provides accurate basic data for seismic monitoring.