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.
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)
关键词
小波变换
水化
异常
wavelet analysis
hydrochemical
anomaly
