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。"/>
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."/>
Research on Explosion Phase Recognition Based on Waveform Cross-Correlation
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.
