首页 | 本学科首页   官方微博 | 高级检索  
     检索      

高阶统计量及AIC方法在区域地震事件和直达P波初动识别中的应用
引用本文:赵大鹏,刘希强,刘尧兴,王志铄,赵晖,张亚琳.高阶统计量及AIC方法在区域地震事件和直达P波初动识别中的应用[J].地震地磁观测与研究,2013(5):61-69.
作者姓名:赵大鹏  刘希强  刘尧兴  王志铄  赵晖  张亚琳
作者单位:[1]河南省地震局,中国郑州450016 [2]山东省地震局,中国济南250014
基金项目:国家科技支撑计划课题(2012BAK19B04)和中国地震局地震科技星火计划攻关项目(XH12029)资助
摘    要:利用高阶统计量(偏斜度和峰度)与赤池信息量准则(简称AIC)相结合,进行区域地震事件实时检测和P波初至精细识别的新方法研究,通过处理山东地震台网记录的地震波资料,结果表明:应用高阶统计量(偏斜度和峰度,尤其是峰度)能够有效识别地震事件,降低地震事件的错误报警率和漏报率;与人工识别震相到时结果相比,根据Ske-AIC、Kur-AIC震相自动识别方法得到的震相到时的平均绝对值误差小.

关 键 词:高阶统计量  AIC  地震事件识别  震相识别

Detection of regional seismic events by high order statistics method and automatic identification of direct P-wave first motion by AIC method
Zhao Dapeng,Liu Xiqiang,Liu Yaoxing,Wang Zhishuo,Zhao Hui,Zhang Yalin.Detection of regional seismic events by high order statistics method and automatic identification of direct P-wave first motion by AIC method[J].Seismological and Geomagnetic Observation and Research,2013(5):61-69.
Authors:Zhao Dapeng  Liu Xiqiang  Liu Yaoxing  Wang Zhishuo  Zhao Hui  Zhang Yalin
Institution:1.Earthquake Administration of Henan Province, Zhenzhou 450016, China; 2.Earthquake Administration of Shandong Province, Jinan 250014, China;)
Abstract:Basing on high order statistics and AIC method,we put forward new methods for real-time detection of regional earthquake event and automatic identification of direct P-wave first motion,and apply it to process seismic data recorded by Shandong Seismic Network.The results show as follows:①The high order statistics method (skewness and kurtosis,kurtosis especially) effectively detect earthquake events,and may effectively reduce false alarm and missing report rates;②Compared with phase arrival time results in manual identification,average absolute error of phase arrival time in automatic identification based on Kur-AIC and SkeAIC method are (0.09±0.08)s and (0.06±0.14)s,respectively.
Keywords:high order statistics  AIC  earthquake identification  phase identification
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号