水位观测资料的小波变换及异常提取

利用小波分析方法对永安台水位观测资料进行处理,提取测点周边5次中强震前水位观测资料中存在的短临异常信息,通过分析,永安台水位资料对150 km范围内中强震前确实存在一定程度的异常反应。结果表明:小波分析方法能够有效地将一些高频信息从原数据中分离出去,并且能够得到清晰的前兆数据原始变化趋势,可以使今后各种长短期震前异常的识别变得更加容易。

The Wavelet Transform and Anomaly Extraction of Water Level Data

By using wavelet analysis method, the paper processes the yongan water level observation data, and extracts the impending anomalies that exist in water level observation data before five times strong earthquakes surrounding the measuring point, The results show that there existed a certain degree of abnormal reaction before the strong earthquake in the water level data of Yongan station within 150 km away from Yongan station;the method can effectively separate out some high frequency information from the original data, and can get clear original trends of precursory data, which can make the identification of all kinds of short and long term anomaly before the earthquake easier in the future.