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小波分析在天然地震初震及震相识别中的应用
引用本文:李红星,;赵烽帆,;郑敏娜.小波分析在天然地震初震及震相识别中的应用[J].华东地质学院学报,2014(3):286-291.
作者姓名:李红星  ;赵烽帆  ;郑敏娜
作者单位:[1]东华理工大学核工程与地球物理学院,江西抚州344000; [2]中国地震台网中心,北京100045; [3]东华理工大学外国语学院,江西抚州344000
基金项目:国家自然科学基金(41104073、41364004); 江西省自然科学基金(2010GQS0002); “863”课题(2012AA09A404)资助
摘    要:地震灾害给人类带来了很大的伤害,为了有效地减轻地震灾害,加强地震监测非常必要的。为了达到理想的地震监测效果,需要对地震波初震和震相进行准确的识别。主要研究小波分析方法在初震和震相识别中的应用,先用小波包变换确定信号的初动位置,再用小波变换分解信号,分离出信号不同频率所对应在信号中的不同位置,从而确定信号的初动时间和相应的震相。通过该方法对模拟信号和实际天然地震信号进行处理,有效的识别了天然地震初震及其震相。

关 键 词:小波变换  小波包变换  天然地震初震  震相识别

Application of Wavelet Analysis in Initial Shock of Natural Earthquakes and Identification of Seismic Phase
Institution:LI Hong-Xing , ZHAO Feng-Fan, ZHENG Min-Na ( 1. College of Nuclear Engineering Technology, East China University of Technology, Fuzhou, JX 344000, Chi- na;2. China Earthquake Networks Center, Beijing 100045, China; 3. College of Foreign Languages, East China University of Technology, Fuzhou ,JX 344000, China)
Abstract:Earthquake bring great harm to humans,in order to effectively mitigate earthquake disasters,improving earthquake monitoring is very necessary. In order to achieve the desired effect and mitigation effectiveness of early warning,must to identify the seismic wave phases and make sure to the first location of seismic waves and the beginning time. This thesis mainly introduces the application of wavelet analysis in seismic phase identification,introduce the basic principles of wavelet analysis,and its natural earthquake and seismic wave to the initial phase identification. By processing analog signals and the actual seismic signal,analysis and discuss results. The study provides a reference with the effective identification of natural earthquake and its early phases.
Keywords:wavelet transform  wavelet packet transform  natural seismic first  seismic phase identification
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