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《Chinese Journal of Geophysics》 2019-01
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Automatic detection of seismic body-wave phases and determination of their arrival times based on support vector machine

JIANG YiRan;NING JieYuan;State Key Laboratory of Shale Oil and Gas Enrichment Mechanisms and Effective Development;School of Earth and Space Sciences,Peking University;  
Facing massive seismic data,it is urgent to automatically detect earthquakes and determine their arrival times accurately.Based on the support vector machine technology,we developed a method by using two classifiers SSD and SPS to automatically identify seismic body-wave phases and automatically determine their arrival times.Compared with the traditional automatic phasepicking methods,our method can more accurately identify both the seismic phases from noises,and the S phases from P phases.Moreover,we employ the array strategy to further effectively improve the accuracy of phase-detection.
【Fund】: 中国石油化工股份有限公司石油勘探开发研究院开放基金项目(GSYKY-B09-33);; 内蒙古自治区2016年度科技重大专项“重点地区地震预测预警技术研究开发与推广示范”资助
【CateGory Index】: P315.7
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1 XU Longshun;ZHAO Chunlin;ZHAO Min;Postgraduate Brigade,Engineering University of PAP;Department of Information Engineering,Engineering University of PAP;;Classification of Driving Mental Fatigue Based on Support Vector Machines[J];武警工程大学学报;2016-06
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