小波分析在前郭水化观测资料处理中的应用  

APPLICATION OF WAVELET ANALYSIS IN HYDROCHEMICAL DATA AT QIANGUO SEISMIC STATION

作　　者：卢燕红[1] 盘晓东[1] 张洪艳[1] 康建红[1] 刘喜伟 

机构地区：[1]吉林省地震局,吉林长春130117 [2]前郭地震台,吉林前郭138000

出　　处：《防灾减灾学报》2011年第4期30-34,共5页Journal of Disaster Prevention And Reduction

基　　金：中国地震局2011年震情跟踪青年课题(2011020305)

摘　　要：本文从小波变换原理入手,选取正交小波(Daubechies小波)对前郭井近10年水化观测资料进行分析,结果表明小波分析可以很好的抑制数据的干扰,将原始信息中高频信息和低频信息分辨出来。运用小波变换对观测资料进行处理后,映震效果明显优于原始资料,一些趋势变化和短临变化更直观,异常信息更加丰富,更有利于利用前兆数据进行地震预测。Based on the principle of wavelet transform, the paper selected Daubechies wavelet to analyze the hydro-chemical data of Qianguo well in nearly 10 years. The result shows that wavelet analysis can suppress data interferences well and also can differentiate high-frequency and low-frequency signals from original information. The disposed data using wavelet transform has obviously well effect of earthquake-reflecting than original data, and some changing trends and short-term changes are more visual, and anomaly information is more abundant, which are useful to forecast earthquake with precursor data.

关 键 词：小波变换 水化 异常 

分 类 号：P332.7[天文地球—水文科学]