小波分析在GPS位移时间序列特征中的应用

Wavelet analysis in GPS displacement time series analysis

使用福建GPS台网2004年3月—2008年10月的连续观测资料,对各基准地震站原始数据进行处理,得到位移时间序列,进行初步分析。在此基础上,采用小波分析方法提取时间序列的时频特征,从而得到非线性变化信息,为GPS在大地震前获取前兆资料提供探索方向,进而通过对位移时间序列异常变化与区域地壳运动关系的研究,探讨两者间的内在联系。

Using the continuous observation data of Fujian GPS network from March 2004 to October 2008, displacement time series, obtained from the processed raw data of various reference stations, are preliminarily analyzed. Based on this result, time-frequency characteristics of time series are extracted with the wavelet analysis method. Its non-linear changes informa- tion is then obtained. This study presents a new exploration aspect for extracting precursory information before large earthquakes from GPS data and ulteriorly investigating the intrinsic relationship between the displacement time series anomalous variation and regional crustal motion.