中文摘要：

与 IGS 的每日的 SINEX 文件， IGS 车站的时间序列与并列模式在概括网络调整模型下面用一个独立地发达的软件被获得。从时间序列，非线性的运动被发现。与光谱分析方法，地点速度的变化频率(年度时期和一年两次的时期) 被发现。而且，车站的速度变化的实验模型被回归分析方法基于车站的每周的答案坐标系列建立了。关于追踪车站的 IGS 的速度，周期性地为变化建模或用片明智的线性功能而非一个线性变量周期性地给速度估计它的偏爱更好。

英文摘要：

With the daily SINEX files of the IGS, the time series of IGS stations are obtained using an independently developed software under generalized network adjustment models with coordinate patterns. From the time series, non-linear motions are found. With spectral analysis method, the variation frequency （annual period and semi-annual period） of the site velocity is found. Moreover, the empirical model of the velocity variation of the station has been established by regression analysis method based on the weekly solution coordinate series of the station. With respect to the velocity of the IGS tracking station, it was better to model the variation periodically or to give a velocity periodically using a piece-wise linear function rather than a linear variable to estimate its bias.