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地震与核爆识别的小波包分量比方法
引用本文:杨选辉,沈萍,刘希强,郑治真.地震与核爆识别的小波包分量比方法[J].地球物理学报,2005,48(1):148-156.
作者姓名:杨选辉  沈萍  刘希强  郑治真
作者单位:1.中国地震局地壳应力研究所,北京 100085 2中国地震局地球物理研究所,北京 100081 3山东省地震局,济南 250014 4中国地震局地震信息中心,北京 100045
基金项目:国家自然科学基金项目 (4 9744 0 0 6)资助
摘    要:频谱分析法在核爆与地震识别中具有广泛的应用.但是频谱分析方法是稳态方法,即使采用Gabor变换,也因时-频窗口形状不变而分辨串较低.为提高时-频分辨率,本文将小波变换理论用于乌鲁木齐台记录的地震与核爆事件的分析,并提出了识别核爆和天然地震的小波包分量比判据.通过对加拿大黄刀地震台记录的印度地下核爆的分析,进一步验证了小波包分量比判据对核爆和地震的识别具有较高的识别效率.结果表明:对于地震信号,其小波包分量比U03/U1一般都大于1.0,而对于核爆信号,比值U03/U13一般都小于1.0.

关 键 词:小波变换  小波包分量比  识别  地震  核爆  
文章编号:0001-5733(2005)01-0148-09
收稿时间:2003-12-31
修稿时间:2004-09-02

Application of Method of Spectral Component Ratio of Wavelet-packets to Discrimination between Earthquakes and Nuclear Explosions
YANG Xuan-Hui ,SHEN Ping ,LIU Xi-Qiang ,ZHENG Zhi-Zhen Institute of Crustal Dynamics,China Earthquake Administration,Beijing ,China Institute of Geophysics,China Earthquake Administration,Beijing ,China Shandong Provincial Earthquake Administration,Jinan ,China The Center of Seismic Data and Information,China Earthquake Administration,Beijing ,China.Application of Method of Spectral Component Ratio of Wavelet-packets to Discrimination between Earthquakes and Nuclear Explosions[J].Chinese Journal of Geophysics,2005,48(1):148-156.
Authors:YANG Xuan-Hui  SHEN Ping  LIU Xi-Qiang  ZHENG Zhi-Zhen Institute of Crustal Dynamics  China Earthquake Administration  Beijing  China Institute of Geophysics  China Earthquake Administration  Beijing  China Shandong Provincial Earthquake Administration  Jinan  China The Center of Seismic Data and Information  China Earthquake Administration  Beijing  China
Institution:1.Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China;2.Institute of Geophysics, China Earthquake Administration, Beijing 100086, China;3.Shandong Provincial Seismological Bureau, Jinan 250014, China;4.The Center of Se
Abstract:The spectral analysis method is widely used in discrimination between nuclear explosions and earthquakes. As a stationary method, it has low resolution due to its invariable time-frequency window, even if the Gabor transform is adopted. To improve its resolution, a wavelet transform is applied to the analysis of earthquakes and nuclear explosions, which were recorded at the Urumqi seismic station in the Xinjiang Autonomous region. And a criterion of spectral component ratio of wavelet-packets (SCRWP), which is used to identify the earthquakes and nuclear explosions, is proposed. Analysis of data of the India nuclear test recorded by the Yellow Knife Seismic Array in Canada has also confirmed that the SCRWP method is rather effective in discrimination between nuclear explosions and earthquakes. The result shows that the SCRWP value is generally higher than 1.0 for earthquakes, but usually less than 1.0 for nuclear explosions.
Keywords:Wavelet transform  Spectral component ratio of wavelet-packets  Discrimination  Earthquake  Nuclear Explosion  
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