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东北陆态网坐标时序有色噪声及环境负载分析
引用本文:黄裕,隋哲民,金泽林.东北陆态网坐标时序有色噪声及环境负载分析[J].全球定位系统,2022,47(5):65.
作者姓名:黄裕  隋哲民  金泽林
作者单位:1.辽宁工程技术大学 测绘与地理科学学院, 辽宁 阜新 123000
摘    要:利用Hector软件解算我国东北地区16个陆态网络连续站近10 a的时间序列观测数据,获取连续站坐标残差时间序列数据,进而确定最优噪声模型,最终得出基于有色噪声(CN)以及环境负载改正后的速度场. 结果表明:东北地区陆态网络坐标时间序列数据中主要存在白噪声(WN)、闪烁噪声(FN)与幂律噪声(PL);北(N)和天顶(U)方向的最优噪声模型为WN+FN;E方向的最优噪声模型均为WN+PL. 在顾及CN及环境负载的影响下,东北地区陆态网络基于ITRF14框架下在N方向上运动的平均速率为?13.003 mm/a,东(E)方向上运动的平均速率为27.020 mm/a,U方向上运动的平均速率为0.528 mm/a,整体呈隆升趋势. 

关 键 词:时间序列分析    大陆构造环境监测网络    贝叶斯数值分析法    噪声模型    速度场    环境负载
收稿时间:2021-11-22

Analysis of colored noise and environmental loading in northeast region of CMONOC coordinate time series
Affiliation:1.School of Surveying, Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, 123000 China2.Faculty of Geomatics Lanzhou Jiaotong University, Lanzhou 730070, China3.China Energy Construction Group Liaoning Electric Power Survey and Design Institute, Shenyang 110000, China
Abstract:The Hector software is used to calculate the time series observation data of 16 continuous stations of Crustal Movement Observation Network of China (CMONOC) in Northeast China in the past 10 years, obtain the time series data of the coordinate residuals of the continuous stations, and then determine the optimal noise model, and finally get the results based on colored noise and environmental load the corrected velocity field. The results show that white noise (WN), flicker noise (FN) and power-law noise (PL) are mainly present in CMONOC coordinate time series data in Northeast China; the optimal noise model in the north (N) and up (U) directions is WN+FN; the optimal noise model in the east (E) direction is WN+PL. Taking into account the influence of colored noise and environmental load, the average velocity of movement in the N direction of the northeast region’s CMONOC based on the ITRF14 framework is ?13.003 mm/a, the average velocity of movement in the E direction is 27.020 mm/a, and the average speed of upward movement in the U direction is 0.528 mm/a, and the overall uplift trend. 
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