摘要
运用二进小波变换方法,分析了辽宁省跨断层观测资料不同尺度的小波变换的细节信号变换特征。研究结果表明,不同尺度小波变换分解的细节信号显示出不同的时变特征,可以识别和提取原始测值中不易分辨的震前异常。当尺度为3时的细节信号的年周期特征被打破,或者当尺度为3时的细节信号变化超出2倍均方差时,测点周围250km左右范围内发生中强地震的可能性很大。
We applied wavelet transform method to analyze the deformation observation in Liaoning characteristics of the detailed part of signal variation after wavelet decomposition. The research results indicate that： the detailed decomposed signal characteristics of wavelet were different when the scale was different, it can identify and extract some anomalies from raw data before the earthquake. It is eonsideranly possible that moderate strong earthquake will occur in the range of about 250 km from the observation point when the annually periodic feature is broken or the detailed singnal variation exceeds the double mean square error and the scale is 3.
出处
《东北地震研究》
2008年第3期28-32,共5页
Seismological Research of Northeast China
关键词
跨断层形变观测
小波变换
前兆异常
地震预测
cross -fault deformation observation
wavelet transform
precursory anomaly
earthquake prediction
