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乌兰浩特地震台爆破与地震记录识别判据
引用本文:包宝小,贾宝金,刘芳,席文雅.乌兰浩特地震台爆破与地震记录识别判据[J].地震地磁观测与研究,2019,40(3):40-46.
作者姓名:包宝小  贾宝金  刘芳  席文雅
作者单位:中国内蒙古自治区 137400 乌兰浩特地震台;中国呼和浩特 010010 内蒙古自治区地震局
基金项目:内蒙古地震局局长基金(项目编号:2018JZ01)
摘    要:选取乌兰浩特地震台爆破及地震波形数据记录,采用小波分析方法,提取地震及爆破的3种波形特征,使用v-SVC支持向量分类机进行分类能力的效果检验,结果表明,WPT(db4)+香农熵特征+v-SVC的组合最佳,可作为该台爆破与地震记录的快速识别判据。

关 键 词:爆破  地震  小波变换  特征值

Identification criteria of explosion and seismic record at Ulanhot Seismic Station
Bao Baoxiao,Jia Baojin,Liu Fang,Xi Wenya.Identification criteria of explosion and seismic record at Ulanhot Seismic Station[J].Seismological and Geomagnetic Observation and Research,2019,40(3):40-46.
Authors:Bao Baoxiao  Jia Baojin  Liu Fang  Xi Wenya
Institution:1.Ulanhot Seismic Station, Inner Mongolia Autonomous Region 137400, China;2.Earthquake Agency of Inner Mongolia Autonomous Region, Hohhot 010010, China
Abstract:In this paper, the data is selected by the explosion and seismic waveform recorded by Ulanhot Seismic Station. Using wavelet analysis way, 3 waveform characteristics of explosion and seismic waveform are extracted. Finally, the effect test of classification is performed using v-SVC support vector classification method. The results show that WPT(db4) + Shannon entropy characteristic + v-SVC is the best combination to differentiate the explosion from seismic events recorded at Ulanhot Seismic Station, which can be used for the rapid identification of explosion and earthquake at Wulanhot Seismic Station.
Keywords:explosion  seismic waveform  wavelet transform  characteristic values
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