| 利用小波变换方法识别山西形变异常信息 |
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| 引用本文： | 荆红亮,张仰辉,李艳,冯建琴,李军.利用小波变换方法识别山西形变异常信息[J].山西地震,2011(2):6-9. |
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| 作者姓名： | 荆红亮 张仰辉 李艳 冯建琴 李军 |
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| 作者单位： | 山西省地震局临汾中心地震台,山西临汾,041000 |
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| 摘 要： | 文章主要根据小波变换方法在不同尺度时细节的变化特征,通过一些震例对山西数字形变资料进行分析研究,发现,经过小波变换处理后的数据在细节部分达到第5层、第6层时,震前资料会显示出比较同步的长周期信号,这为识别和提取数字洞体形变资料中的趋势异常和短期异常提供了新的探索思路和方法。
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| 关 键 词： | 前兆信息 形变资料 小波变换 |
Identification of Shanxi Deformation Anomalies by Using Wavelet Transform Method |
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| JIN Hong-liang,ZHANG Yang-hui,LI Yan,FENG Jian-qin,LI Jun.Identification of Shanxi Deformation Anomalies by Using Wavelet Transform Method[J].Earthquake Research in Shanxi,2011(2):6-9. |
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| Authors: | JIN Hong-liang ZHANG Yang-hui LI Yan FENG Jian-qin LI Jun |
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| Institution: | JIN Hong-liang1,2,ZHANG Yang-hui1,LI Yan1,FENG Jian-qin1,LI Jun1,2(1.Linfen Central Seismological Station of Earthquake Administration of Shanxi Province,Linfen,Shanxi 041000,China,2.National Continental Rift Valley Dynamics Observatory of Taiyuan,Taiyuan,Shanxi 030025,China) |
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| Abstract: | Based on mainly the detailed variation characteristics obtained by using wavelet transform method in different scales , the Shanxi digital deformation observation data is analyzed and studied for some earthquakes in this paper. The results indicate that the observation data before earthquakes will present very long-frequency signal once the detailed part of the data treated by wavelet transform reaches the fifth and sixth layers, which may provide a new way for identification and extraction tendency anomalies and short-time anomalies from the digital cave body deformation observation data in the future. |
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| Keywords: | Precursory information Deformation data Wavelet transform |
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