小波分析在地壳形变资料处理中的应用
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摘要
小波变换的时频分析和奇异性检测特性 ,使得其在非稳态信号处理中有不可抵挡的优势 ,本文用已知的合成信号对这两个特性进行了分析和说明 .对几次地震前的形变时间序列资料 (定点潮汐形变观测、GPS观测 )作了小波变换 .结果发现 :地震前约 4个月左右 ,震中周围的几个定点形变台站都接收到周期为几天到十几天的异常信号 ;而地震前震中周围的几个GPS观测站均同时接收到周期为 3个月到半年左右的异常信号 ,不同的地震异常出现的时间不一样 .这些同时出现在多个台站或观测站的同频段的异常信号是可能的地震前兆 .
The time-frequency analysis and anomaly detection of wavelet transformation make the method irresistibly advantageous in non-stable signal processing. In the paper, the two characteristics are analyzed and demonstrated with synthetic signal. By applying wavelet transformation to deformation data processing, we find that about 4 months before strong earthquakes, several deformation stations near the epicenter received at the same time the abnormal signal with the same frequency and the period from several days to more than ten days. The GPS observation stations near the epicenter all received the abnormal signal whose period is from 3 months to half a year. These abnormal signals are possibe earthquake precursors.
引文
陈德福,李正媛,陈鹏.2003.定点潮汐形变观测与GPS大地测量[J].大地测量与地球动力学,23(1):107~113
    张燕,吴云,刘永启,等.2003.潮汐形变资料中地震前兆信息的识别与提取[J].大地测量与地球动力学,23(4):34~39
    张雁滨,蒋骏,钱家栋,等.2002.地壳介质微形变异常与强震短临前兆[J].地震学报,24(1):103~108
    郑治真,沈萍,杨选辉,等.2001.小波变换及其MATLAB工具的应用[M].北京:地震出版社,76~80,110~115

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