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基于小波互相关的微地震信号检测方法研究
引用本文:冯雪玲,刘东亚,李志海.基于小波互相关的微地震信号检测方法研究[J].大地测量与地球动力学,2019,39(9):982-986.
作者姓名:冯雪玲  刘东亚  李志海
摘    要:提出一种基于小波互相关技术的微地震信号自动检测方法,利用复Morlet小波在特定尺度上对地震波形进行变换,分析其相位角相关性,设置合理的相似度阈值自动检测微小地震。对2018-05-01新疆昌吉ML4.8地震后30 min的波形进行检测测试,共发现11个微地震事件,并给出其检测台站的P波到时结果。与中国地震台网中心地震统一编目结果对比发现,无漏检、错检,P波到时结果相差基本在1 s之内,认为将该方法用于地震序列微地震检测具有一定的可行性。

关 键 词:微地震  自动检测  复Morlet小波  互相关  昌吉ML4.8地震  

Research on Microseismic Signal Detection Method Based on Wavelet Cross-Correlation
FENG Xueling,LIU Dongya,LI Zhihai.Research on Microseismic Signal Detection Method Based on Wavelet Cross-Correlation[J].Journal of Geodesy and Geodynamics,2019,39(9):982-986.
Authors:FENG Xueling  LIU Dongya  LI Zhihai
Abstract:This paper presents an automatic detection method for microseismic signals based on wavelet cross-correlation technique. In this method, the complex Morlet wavelet is used to transform the seismic waveform at a specific scale, the angle correlation is analyzed, and the reasonable similarity threshold is set to automatically detect small earthquakes. By testing the 30 minutes waveform after the ML4.8 earthquake in Changji, Xinjiang on May 1, 2018, it is found that 11 seismic sequences are detected by this method, and the P-wave arrival results of the detecting station are given. By comparing with the unified cataloguing results of the earthquake in the center of the China Seismic Network, there is no missed detection, and the difference of the seismic wave arrival time of the false check is basically within 1 second. It is considered that this method is feasible for seismic sequence microseismic detection.
Keywords:microseismic  automatic detection  complex Morlet wavelet  cross-correlation  Changji ML4  8 earthquake  
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