GPS臺站時間序列分析及其地殼形變應(yīng)用
發(fā)布時間：2018-08-18 13:06
【摘要】：上世紀90年代初IGS（International GPS Service for Geodynamics）的建立標志著GPS（Global Positioning System）應(yīng)用于地球物理研究的開始。 隨著衛(wèi)星定位系統(tǒng)測量定位精度的提高，全球分布的連續(xù)運行臺站（本論文主要對IGS臺站進行分析）積累了數(shù)十年的觀測資料，得到了許多有價值的認識。 GPS時間序列中不僅包含著構(gòu)造運動信號，也包含著非構(gòu)造運動信號、季節(jié)性信號等噪聲，夾雜的噪聲影響GPS解的可靠性，對一些地球物理現(xiàn)象甚至可能做出錯誤的解釋。如何高效、快速的剔除這些噪聲，分離非構(gòu)造運動信號的影響，是GPS坐標時間序列中的關(guān)鍵問題之一。 本論文主要對100個IGS連續(xù)運行參考站6年的時間序數(shù)據(jù)進行分析。論文的前半部分主要介紹了時間序列的基本原理與分析方法，同時對空間大地測量數(shù)據(jù)后處理軟件GAMIT和QOCA作了詳細介紹。主要從構(gòu)造信號、共模誤差（CME）、地表負荷引起的臺站位移、臺站周年運動展開，對GPS坐標時間序列中包含的噪聲進行分析。通過采用主成分分析法結(jié)合Karhunen-Loeve expansion的時空濾波對坐標序列進行濾波處理，結(jié)果表明PCA能較好的剔除坐標序列中的非構(gòu)造信號，提高信號的信噪比；并通過對一個區(qū)域臺站網(wǎng)進行分析，結(jié)果表明GPS坐標序列能較好的反映地震孕育過程（震前形變、同震形變及震后余滑）。 論文的后半部分主要采用功率譜分析的方法對GPS時間序列中周期信號進行分析，，發(fā)現(xiàn)GPS坐標時間序列存在倍頻約為1.04cpy的異常周期信號，并對其物理來源進行探討。分析得出構(gòu)造運動、共模誤差、地表負荷等引起的臺站位移不能對其作出相應(yīng)的解釋。該異常周期信號與GPS星座繞太陽運動的軌道重復(fù)周期（GPS年，約315.2天，1.040cpy）相吻合，認為該異常周期信號可能的解釋是源自未模型化的GPS系統(tǒng)誤差。
[Abstract]:The establishment of IGS (International GPS Service for Geodynamics) in the early 1990s marked the beginning of the application of GPS (Global Positioning System) in geophysical research. With the improvement of the positioning accuracy of the satellite positioning system, the continuous operation of the global distribution stations (this paper mainly analyzes the IGS stations) has accumulated decades of observation data. Many valuable understandings have been obtained. The GPS time series contains not only structural motion signals, but also non-tectonic motion signals, seasonal signals and other noises, which affect the reliability of GPS solutions. Some geophysical phenomena may even be misinterpreted. It is one of the key problems in GPS coordinate time series that how to eliminate these noises efficiently and quickly, and how to separate the influence of non-tectonic motion signals. In this paper, the time order data of 100 IGS continuous operation reference stations are analyzed. In the first half of the paper, the basic principle and analysis method of time series are introduced, and the post-processing software GAMIT and QOCA of spatial geodetic data are introduced in detail. The noise contained in the GPS coordinate time series is analyzed mainly from the construction signal, the station displacement caused by the common mode error (CME), surface load and the annual motion expansion of the station. The principal component analysis (PCA) combined with the spatio-temporal filtering of Karhunen-Loeve expansion is used to filter the coordinate sequence. The results show that PCA can eliminate the non-structural signal in the coordinate sequence and improve the signal-to-noise ratio (SNR) of the signal. Through the analysis of a regional station network, the results show that the GPS coordinate sequence can well reflect the earthquake preparation process (pre-earthquake deformation, co-seismic deformation and aftershock slip). In the second half of this paper, the periodic signal in GPS time series is analyzed by power spectrum analysis method. It is found that there exists abnormal periodic signal in GPS coordinate time series with frequency doubling about 1.04cpy, and its physical source is discussed. It is concluded that the station displacement caused by tectonic movement, common model error and surface load can not be explained. The anomalous periodic signal coincides with the repeated period of orbit around the sun of the GPS constellation (GPS year, about 315.2 days, 1.040cpy). It is considered that the possible explanation of the abnormal periodic signal is derived from the unmodeled GPS system error.
【學位授予單位】：東華理工大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P228.4
本文編號：2189555
[Abstract]:The establishment of IGS (International GPS Service for Geodynamics) in the early 1990s marked the beginning of the application of GPS (Global Positioning System) in geophysical research. With the improvement of the positioning accuracy of the satellite positioning system, the continuous operation of the global distribution stations (this paper mainly analyzes the IGS stations) has accumulated decades of observation data. Many valuable understandings have been obtained. The GPS time series contains not only structural motion signals, but also non-tectonic motion signals, seasonal signals and other noises, which affect the reliability of GPS solutions. Some geophysical phenomena may even be misinterpreted. It is one of the key problems in GPS coordinate time series that how to eliminate these noises efficiently and quickly, and how to separate the influence of non-tectonic motion signals. In this paper, the time order data of 100 IGS continuous operation reference stations are analyzed. In the first half of the paper, the basic principle and analysis method of time series are introduced, and the post-processing software GAMIT and QOCA of spatial geodetic data are introduced in detail. The noise contained in the GPS coordinate time series is analyzed mainly from the construction signal, the station displacement caused by the common mode error (CME), surface load and the annual motion expansion of the station. The principal component analysis (PCA) combined with the spatio-temporal filtering of Karhunen-Loeve expansion is used to filter the coordinate sequence. The results show that PCA can eliminate the non-structural signal in the coordinate sequence and improve the signal-to-noise ratio (SNR) of the signal. Through the analysis of a regional station network, the results show that the GPS coordinate sequence can well reflect the earthquake preparation process (pre-earthquake deformation, co-seismic deformation and aftershock slip). In the second half of this paper, the periodic signal in GPS time series is analyzed by power spectrum analysis method. It is found that there exists abnormal periodic signal in GPS coordinate time series with frequency doubling about 1.04cpy, and its physical source is discussed. It is concluded that the station displacement caused by tectonic movement, common model error and surface load can not be explained. The anomalous periodic signal coincides with the repeated period of orbit around the sun of the GPS constellation (GPS year, about 315.2 days, 1.040cpy). It is considered that the possible explanation of the abnormal periodic signal is derived from the unmodeled GPS system error.
【學位授予單位】：東華理工大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P228.4
【參考文獻】
相關(guān)期刊論文 前10條
1 張詩玉,鐘敏,閆昊明,陸洋;我國GPS基準站地殼垂直位移周年變化的氣象激發(fā)[J];測繪科學;2004年02期
2 楊強;黨亞民;秘金鐘;;基于IGS連續(xù)跟蹤站的GPS高程時間序列分析[J];測繪科學;2007年03期
3 占偉;武艷強;劉志廣;;GAMIT/GLOBK數(shù)據(jù)自處理程序的應(yīng)用[J];測繪科學;2009年S1期
4 黃立人;;GPS基準站坐標分量時間序列的噪聲特性分析[J];大地測量與地球動力學;2006年02期
5 伍吉倉;孫亞峰;劉朝功;;連續(xù)GPS站坐標序列共性誤差的提取與形變分析[J];大地測量與地球動力學;2008年04期
6 胡守超;伍吉倉;孫亞峰;;區(qū)域GPS網(wǎng)三種時空濾波方法的比較[J];大地測量與地球動力學;2009年03期
7 楊博;張風霜;韓月萍;;GPS連續(xù)站水平分量時間序列共模誤差識別的歐拉-小波法[J];大地測量與地球動力學;2010年03期
8 王敏,張祖勝,許明元,周偉,李鵬,尤曉青;2000國家GPS大地控制網(wǎng)的數(shù)據(jù)處理和精度評估[J];地球物理學報;2005年04期
9 王敏;沈正康;董大南;;非構(gòu)造形變對GPS連續(xù)站位置時間序列的影響和修正[J];地球物理學報;2005年05期
10 符養(yǎng);肖義國;韓英;馬明;;利用TOPEX衛(wèi)星測高資料研究全球海面高周年和半周年波動傳播規(guī)律[J];地球物理學報;2006年06期
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