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基于EMD方法的地心运动时间序列分析
引用本文:乔灵娜,赵春梅,马天明.基于EMD方法的地心运动时间序列分析[J].测绘通报,2019,0(2):6-11.
作者姓名:乔灵娜  赵春梅  马天明
作者单位:山东科技大学测绘科学与工程学院,山东 青岛266590;中国测绘科学研究院,北京100830;中国测绘科学研究院,北京,100830;中国测绘科学研究院,北京100830;辽宁工程技术大学,辽宁 阜新123000
基金项目:国家自然科学基金(41774013)
摘    要:针对时间序列混有的高频信息会影响地心运动规律分析的问题,采用网平移法对IGS提供的GNSS周解进行解算,得到2007-2017年地心运动时间序列,对其进行分解重构,剔除高频项,并利用重构时序对地心运动规律作进一步分析探讨。结果表明:本文解算的地心运动在Tx、Ty和Tz方向的精度均为毫米级。EMD方法重构的时序保留了原序列的基本信息,且抑制了高频项的影响,提高了周期贡献率,3个方向的贡献率分别提高了12.3%、16.7%及6.3%。通过分析重构后的时序发现,周年项振幅为各周期对应振幅的最大值,分别为2.32、1.89和2.07 mm;Ty和Tz方向长期变化趋势较Tx更为明显,分别为0.13和-0.27 mm/a;半年项较小,且在Tx和Ty方向上具有时变性。此外,还发现了一些其他较小的年际变化。

关 键 词:地心运动  网平移法  经验模态分解  时间序列分析
收稿时间:2018-07-02

Time series analysis of geocenter motion based on EMD method
QIAO Lingna,ZHAO Chunmei,MA Tianming.Time series analysis of geocenter motion based on EMD method[J].Bulletin of Surveying and Mapping,2019,0(2):6-11.
Authors:QIAO Lingna  ZHAO Chunmei  MA Tianming
Institution:1. College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China; 2. Chinese Academy of Surveying and Mapping, Beijing 100830, China; 3. School of Geomatics, Liaoning Technical University, Fuxin 123000, China
Abstract:The high-frequency information mixed with geocenter motion time series will affect the analysis of the geocenter motion. This paper uses the EMD method to decompose and reconstruct the geocenter motion time series from 2007 to 2017 calculated by translation approach using the GNSS solution provided by the IGS, then removes high-frequency terms, and performs the further analysis using the reconstructed geocenter motion time series. The results show that the geocenter motion calculated in the Tx, Ty, and Tz directions are at the millimeter level. The reconstructed time series using EMD method preserves the basic information of the original time series, weakens the influence of high-frequency terms, and improves the contribution rate of each periods, contribution rate in three directions increase by 12.3%, 16.7% and 6.3% respectively. By analyzing the reconstructed time series, the annual amplitudes in three directions are maximum, compared to other period, which are 2.32, 1.89, and 2.07 mm, respectively. In addition, the long-term trends in the Ty and Tz directions are more pronounced than those of Tx, which are 0.13 and -0.27 mm/a, respectively. The semi-annual term is weak and has a time variant features in the Tx and Ty directions. Moreover, some other minor interannual variations have also been discovered.
Keywords:geocenter motion  translation approaches  empirical mode decomposition  time series analysis  
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