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基于波形互相关的爆破震相识别研究
引用本文:尹欣欣,李少华,陈文凯,陈继锋,王 鑫.基于波形互相关的爆破震相识别研究[J].大地测量与地球动力学,2020,40(4):362-365.
作者姓名:尹欣欣  李少华  陈文凯  陈继锋  王 鑫
作者单位:甘肃省地震局;内蒙古自治区地震局
基金项目:国家重点研发计划(2017YFC1500906);中国地震局地震预测研究所基本科研业务费专项(2019IESLZ07);中国地震局地震科技星火计划(XH19043)。
摘    要:利用内蒙古测震台网地震事件资料,选取爆破事件中SNR较高的8个爆破事件波形作为模板,使用基于波形互相关系数的模板匹配方法进行震相识别。研究结果表明,在震级相近的情况下,相同类型地震事件各自对应的波形之间互相关系数较大,可作为地震类型判别的依据。

关 键 词:人工爆破  模板匹配  互相关系数  震相识别  

Research on Explosion Phase Recognition Based on Waveform Cross-Correlation
YIN Xinxin,LI Shaohua,CHEN Wenkai,CHEN Jifeng,WANG Xin.Research on Explosion Phase Recognition Based on Waveform Cross-Correlation[J].Journal of Geodesy and Geodynamics,2020,40(4):362-365.
Authors:YIN Xinxin  LI Shaohua  CHEN Wenkai  CHEN Jifeng  WANG Xin
Institution:(Gansu Earthquake Agency,450 West-Donggang Road,Lanzhou 730000,China;Earthquake Agency of Inner Mongolia Autonomous Region,80 Zhelimu Road,Hohhot 010000,China)
Abstract:In this paper, we select eight blasting event waveforms with higher SNR in blasting events as template events using seismic event data from the Inner Mongolia Seismic Network. The recognition algorithm is a template matching method based on waveform correlation coefficient. The results show that when the magnitudes are similar, the correlation coefficients of the corresponding waveform of the same type of earthquake events are relatively large, which can be used as a basis for identifying the types of earthquakes.
Keywords:artificial blasting  template matching  correlation coefficient  seismic phase identification  
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