EMD方法在前兆资料分析处理中的应用  

APPLICATION OF EMPIRICAL MODE DECOMPOSITION IN ANALYZING AND PROCESSING PRECURSORY DATA

作　　者：王在华[1] 

机构地区：[1]新疆维吾尔自治区地震局,新疆乌鲁木齐830011

出　　处：《内陆地震》2012年第2期138-146,共9页Inland Earthquake

基　　金：国家自然科学基金(40864003);新疆地震科学基金课题(200809)资助

摘　　要：通过仿真实验,主要研究了EMD方法和算法,探讨EMD方法在前兆资料的应用;通过对乌什水管仪分钟值观测资料的分解,该方法能够突出震前高频异常信号,而抑制同震波效应的影响;对整点值数据分解,提取出的IMF1、IMF2分量为半日波和周日波,剩余分量能够精确刻画趋势变化,具有较强的物理意义;另外,该方法也可以应用在失真数据的分析上。研究结果表明该方法在前兆分析上具有较好的应用前景。Based on simulation test, EMD method and algorithm were studied and applied in precur-sor data processing. Through analyzing minute data of water tube tiltmeter in Wushi station with EMD, high frequency anomaly signal was particular prominent and coseismic effect was inhibited. With decomposition of integral hour value, they extracting IMF1 ,IMF2 as semidiurnal wave and di-urnal wave which can describe trend variation accurately and contain significant physical meaning. Meanwhile, this method also can analyze distorted data and has great application prospect.

关 键 词：EMD方法 固有本征模函数 仿真 固体潮 

分 类 号：P315.7[天文地球—地震学]