顾及测站非线性变化的GPS地球参考框架建立与比较  

Realization and Comparison of Different Strategies Applied for GPS Terrestrial Reference Frame Modeling Nonlinear Station Motions

作　　者：马一方 周晓慧[2] 杨艺林 MA Yifang;ZHOU Xiaohui;YANG Yilin(Beijing Earthquake Agency,Beijing 100080,China;School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)

机构地区：[1]北京市地震局,北京100080 [2]武汉大学测绘学院,湖北武汉430079

出　　处：《武汉大学学报（信息科学版）》2023年第9期1435-1443,共9页Geomatics and Information Science of Wuhan University

基　　金：国家重点研发计划(2018YFC1503600);国家自然科学基金(41874007);中国地震局震情跟踪定向任务(2021010201);湖北省自然科学基金(2019CFB468)。

摘　　要：国际地球参考框架的最新版本已将测站非线性变化纳入模型之中,然而目前最优的顾及测站非线性变化的地球参考框架建立方式仍有待深入研究。首先重新处理了全球分布的全球定位系统测站2004-2016年的观测数据,获取了自洽精确的基础数据;然后改正了13个CMONOC(crustal movement observation network of China)基准站的震后形变,分别建立了基于函数模型的FREQ2016以及顾及环境负载改正的GFZ2016和EOST2016地球参考框架;最后通过对比分析模型拟合度、速度场和周期性信号,探讨了目前最优的顾及测站非线性变化的地球参考框架建立方式。结果表明,FREQ2016的验后残差WRMS(weighted root mean square)平均值最小;FREQ2016测站季节性信号更为显著,尤其是半周年信号;三者的水平速度差异可以忽略(<0.08 mm/a),个别测站垂向速度差异较大,最大可达1.3 mm/a,FREQ2016水平速度场的形式误差减小约10%。因此,目前基于函数模型的建立方式优于顾及环境负载改正的建立方式。Objectives:Latest release of international terrestrial reference frame has been generated with an enhanced modeling of nonlinear station motions,while more investigations on the strategies applied for the terrestrial reference frame modeling nonlinear station motions still needed.Methods:A global GPS(global positioning system) network has been reprocessed,using the latest GNSS(global navigation satellite system) data processing models and an integrated strategy,and then accurate and consistent input data are obtained;the post-seismic deformation models of 13 CMONOC(crustal movement observation network of China) stations are established and used as the input data,and FREQ2016 based on the function model,and GFZ2016 and EOST2016 considering the environmental loading correction are realized;these GPS terrestrial reference frames with different models are compared in terms of the goodness for fit,velocities and seasonal signals,and then the optimal model is explored.Results:The results show that the weighted root mean square averages of the postfit residuals of FREQ2016 are smaller than those of GFZ2016 and of EOST2016;FREQ2016 shows more significant seasonal signals,especially for semi-annual signals;the horizontal velocity field differences of these three are almost negligible(0.08 mm/a),and the large vertical velocity differences,for some stations,reach 1.3 mm/a;the reduction of FREQ2016 horizontal velocity formal errors is about 10%.Conclusions:This paper suggests that the strategy based on the function model is better than that of considering the environmental loading correction.

关 键 词：地球参考框架 全球定位系统 环境负载 非线性变化 

分 类 号：P228[天文地球—大地测量学与测量工程]