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| Application of wavelet analysis to crustal deformation data processing | |
| 作者姓名： | 张燕 吴云 刘永启 施顺英 |
| 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 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，Wuhan Base of Institute of Crustal Dynamics，China Earthquake Administration，Wuhan 430071，China Institute of Seismology，China Earthquake Administration，Wuhan 430071，China |
| 基金项目： | 地震科学联合基金，国家自然科学基金 |
| 摘 要： | Introduction The study mainly focused on tidal information, i.e. earth tide in the continuous deformationdata processing and analysis before. And the analysis methods used were specially for earth tideonly. As to the medium-long period and non-tidal information, fitting and filtering are not the bestmethods. Because they are not able to reflect the variation process of frequency information withtime and to distinguish and extract more earthquake information, although they can eliminateyea… |
Application of wavelet analysis to crustal deformation data processing |
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| ZHANG Yan,WU Yun,LIU Yong-qi.Application of wavelet analysis to crustal deformation data processing[J].Acta Seismologica Sinica(English Edition),2004,17(Z1). | |
| Authors: | ZHANG Yan WU Yun LIU Yong-qi |
| Institution: | 1. 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 2. Wuhan Base of Institute of Crustal Dynamics, China Earthquake Administration, Wuhan 430071, China;Institute of Seismology, China Earthquake Administration, Wuhan 430071, China 3. Wuhan University, Wuhan 430079, China |
| Abstract: | 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 withsynthetic signal. By applying wavelet transformation to deformation data processing, we find that about 4 monthsbefore strong earthquakes, several deformation stations near the epicenter received at the same time the abnormalsignal 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 possibly earthquake precursors. |
| Keywords: | time-frequency analysis anomaly detection deformation data earthquake precursor |
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