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《Acta Seismologica Sinica》 2009-03
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Real-time detection of regional events and automatic P-phase identification from the vertical component of a single station record

Liu Xiqiang Zhou Yanwen Qu Junhao Shi Yuyan Li Bo(Earthquake Administration of Shandong Province,Jinan 250014,China)  
In this paper,we present a new method for detecting and identifying regional seismic events in real time based on recognizing the different content between direct P-wave signal and background noise in energy,non-Gaussian characteristics,non-linearity and polarization of P-wave(we called as energy filter,Gauss linearity and polarization method,abbreviated to EFGLP method).We use AR-AIC,VAR-AIC and TOC-AIC methods to identify earthquake phases.Here TOC-AIC is a new algorithm.We have found that EFGLP method has lower misinformation ratio and error report ratio than conventional STA/LTA technique as a seismic event trigger.When signal-to-noise ratio(SNR)is low and the arrival is not from an event,the TOC-AIC method performs well and is the best one among the three methods for direct P-wave onset picking.When SNR is high,all three methods work well.
【Fund】: 地震科学联合基金(105075)资助
【CateGory Index】: P315.3
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