Application of wavelet analysis to crustal deformation data processing

张燕; 吴云; 刘永启; 施顺英

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Application of wavelet analysis to crustal deformation data processing

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摘要

The time-frequency analysis and anomaly detection of wavelet transformation make the method irresistibly advan- tageous 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 sta- tions near the epicenter all received the abnormal signal whose period is from 3 months to half a year. These ab- normal signals are possibly earthquake precursors.

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来源
《地震学报：英文版》 |2004年第z1期|110-116|共7页
作者
张燕; 吴云; 刘永启; 施顺英;
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作者单位

Institute of Geophysics;

China Earthquake Administration;

Beijing 100081;

China;

Wuhan Base of Institute of Crustal Dynamics;

China Earthquake Administration;

Wuhan 430071;

China;

Institute of Seismology;

China Earthquake Administration;

Wuhan 430071;

China;

Wuhan University;

Wuhan 430079;

China;

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原文格式 PDF
正文语种 chi
中图分类构造运动;
关键词
time-frequency; analysis; anomaly; detection; deformation; data; earthquake; precursor;

机译：时频分析异常检测变形数据地震前兆;

Application of wavelet analysis to crustal deformation data processing

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