GPS coordinate time series common mode error extraction methods
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摘要: 针对GPS坐标时序数据中存在的共模误差(CME)，研究利用堆栈滤波(SF)、网络反演滤波(NIF)和主成分分析(PCA)三种方法进行剔除，以提高GPS监测区域地表位移的精度. 通过构建GPS坐标时序模型，去除明显构造运动，提取噪声残差时序，将隐含在噪声残差时序中的区域CME利用SF、NIF、PCA方法提取出来. 以日本房总半岛2019—2021年GPS坐标时序为例，比较三种方法和GPS站点空间分辨率对CME提取的影响，分析CME去除前后慢滑移地表位移的变化. 研究结果表明：SF、NIF、PCA方法提取CME的结果基本一致；GPS站点空间分辨率降低，提取的CME离散度增大；CME对慢滑移地表水平位移的大小和方向均会产生影响，需进行剔除.
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关键词:
- GPS /
- 坐标时序 /
- 共模误差(CME) /
- 堆栈滤波(SF) /
- 网络反演滤波(NIF) /
- 主成分分析(PCA)
Abstract: The common mode errors (CMEs) existing in the Global Positioning System (GPS) coordinate time series are removed using the stack filter (SF), network inverse filter (NIF) and principal component analysis (PCA) methods, to improve the accuracy of GPS monitoring regional surface displacements. By building GPS coordinate time series model, remove the obvious tectonic movements, and extract the noise residuals. Then, the CMEs in the residuals are extracted with the SF, NIF, PCA methods. Using 2019-2021 GPS coordinate time series in Japan’s Boso peninsular, the SF, NIF, and PCA methods of extracting the CMEs are compared, the effects of different GPS site spatial resolutions on the CMEs are analyzed, and the surface displacements before and after removing the CMEs are analyzed. The results show that the performances of the SF, NIF and PCA methods to extract the CMEs are consistent. The spatial resolution of GPS sites decreases, and the dispersion of the extracted CMEs increases. The CMEs affect the size and direction of the slow slip surface displacements, so they need to be removed. -
[1] 伍吉仓, 孙亚锋, 刘朝功. 连续GPS站坐标序列共性误差的提取与形变分析[J]. 大地测量与地球动力学, 2008, 28(4): 97-101. [2] 雷传金, 魏冠军, 高茂宁, 等. 基于独立分量法的新疆GNSS时间序列共模误差分析[J]. 全球定位系统, 2022, 47(3): 1-8. [3] 马超, 李斐, 张胜凯, 等. 顾及共性误差的南极半岛地区连续GPS站坐标时间序列分析[J]. 地球物理学报, 2016, 59(8): 2783-2795. [4] 盛传贞, 甘卫军, 梁诗明, 等. 滇西地区GPS时间序列中陆地水载荷形变干扰的GRACE分辨与剔除[J]. 地球物理学报, 2014, 57(1): 42-52. [5] 杨博, 占伟, 刘志广, 等. 多核函数法对GNSS大空间域共模误差的识别[J]. 测绘科学技术学报, 2014, 31(2): 127-132. [6] WDOWINSKI S, BOCK Y, ZHANG J, et al. Southern California permanent GPS geodetic array: spatial filtering of daily positions for estimating coseismic and postseismic displacements induced by the 1992 landers earthquake[J]. Journal of geophysical research, 1997, 102(B8): 18057-18070. DOI: 10.1029/97JB01378 [7] SEGALL P, MATTHEWS M. Time dependent inversion of geodetic data[J]. Journal of geophysical research, 1997, 102(B10): 22391-22409. DOI: 10.1029/97JB01795 [8] DONG D N, FANG P, BOCK Y, et al. Spatiotemporal filtering using principal component analysis and Karhunen-Love expansion approaches for regional GPS network analysis[J]. Journal of geophysical research, 2006, 111(B3): B03405. DOI: 10.1029/2005jb003806 [9] 孙阳, 徐爽, 崔志浩, 等. 共模误差对坐标时间序列分析的影响[J]. 北京测绘, 2020, 34(1): 113-117. [10] 常金龙, 甘卫军, 梁诗明, 等. 大华北地区GPS时间序列共模误差的确定与分析[J]. 地震研究, 2018, 41(3): 430-437. [11] OZAWA S, YARAI H, KOBAYASHI T. Recovery of the recurrence interval of Boso slow slip events in Japan[J]. Earth, planets, and space, 2019, 71(1): 1-8. DOI: 10.1186/s40623-019-1058-y [12] MONTILLET J P, BOS M S. Correction to: geodetic time series analysis in earth sciences[M]. Springer Nature Switzerland AG, 2020. [13] NIKOLAIDIS R. Observation of geodetic and seismic deformation with the Global Positioning System[D]. San Diego: University of California, 2002. [14] FUKUDA J. Variability of the space-time evolution of slow slip events off the Boso Peninsula, central Japan, from 1996 to 2014[J]. Journal of geophysical research: solid earth, 2018, 123(1): 732-760. DOI: 10.1002/2017JB014709 [15] MIYAZAKI S, MCGUIRE J J, SEGALL P, et al. A transient subduction zone slip episode in southwest Japan observed by the nationwide GPS array[J]. Journal of geophysical research, 2003, 108(B2): 2087. DOI: 10.1029/2001jb000456 [16] 黄立人. GPS基准站坐标分量时间序列的噪声特性分析[J]. 大地测量与地球动力学, 2006, 26(2): 31-33. [17] 甘卫军, 李强, 张锐, 等. 中国大陆构造环境监测网络的建设与应用[J]. 工程研究—跨学科视野中的工程, 2012, 4(4): 324-331. [18] 王坦, 李瑜, 张锐, 等. GPS在我国地震监测中的应用现状与发展展望[J]. 地震研究, 2021, 44(2): 192-207. [19] 谢树明, 潘鹏飞, 周晓慧. GPS坐标时间序列共模误差空间特性分析[J]. 地理空间信息, 2014, 12(4): 44-45,54. [20] MCGUIRE J J, SEGALL P. Imaging of aseismic fault slip transients recorded by dense geodetic networks[J]. Geophysical journal international, 2003, 155(3): 778-788. DOI: 10.1111/j.1365-246X.2003.02022.x -
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