Continuous prediction method of earthquake early warning magnitude for high-speed railway based on support vector machine  

作　　者：Jindong Song Jingbao Zhu Shanyou Li 

机构地区：[1]Key Laboratory of Earthquake Engineering and Engineering Vibration,Institute of Engineering Mechanics,China Earthquake Administration,Harbin,China [2]Key Laboratory of Earthquake Disaster Mitigation,Ministry of Emergency Management,Harbin,China

出　　处：《Railway Sciences》2022年第2期307-323,共17页铁道科学（英文）

基　　金：supported by the National Natural Science Foundation of China(U2039209,U1534202,51408564);Natural Science Foundation of Heilongjiang Province(LH2021E119);the National Key Research and Development Program of China(2018YFC1504003).

摘　　要：Purpose–Using the strong motion data ofK-net in Japan,the continuous magnitude prediction method based on support vector machine(SVM)was studied.Design/methodology/approach–In the range of 0.5–10.0 s after the P-wave arrival,the prediction time window was established at an interval of 0.5 s.12 P-wave characteristic parameters were selected as the model input parameters to construct the earthquake early warning(EEW)magnitude prediction model(SVM-HRM)for high-speed railway based on SVM.Findings–The magnitude prediction results of the SVM-HRM model were compared with the traditional magnitude prediction model and the high-speed railway EEW current norm.Results show that at the 3.0 s time window,themagnitude prediction error of the SVM-HRMmodel is obviously smaller than that of the traditionalτc method and Pd method.The overestimation of small earthquakes is obviously improved,and the construction of the model is not affected by epicenter distance,so it has generalization performance.For earthquake events with themagnitude range of 3–5,the single station realization rate of the SVM-HRMmodel reaches 95%at 0.5 s after the arrival of P-wave,which is better than the first alarm realization rate norm required by“The TestMethod of EEW andMonitoring Systemfor High-Speed Railway.”For earthquake eventswithmagnitudes ranging from3 to 5,5 to 7 and 7 to 8,the single station realization rate of the SVM-HRM model is at 0.5 s,1.5 s and 0.5 s after the P-wave arrival,respectively,which is better than the realization rate norm of multiple stations.Originality/value–At the latest,1.5 s after the P-wave arrival,the SVM-HRM model can issue the first earthquake alarm that meets the norm of magnitude prediction realization rate,which meets the accuracy and continuity requirements of high-speed railway EEW magnitude prediction.

关 键 词：High-speed railway Earthquake early warning Magnitude prediction Support vector machine Characteristic parameters 

分 类 号：U238[交通运输工程—道路与铁道工程] P315.9[天文地球—地震学]