摘要
P波震相的自动拾取可用于地震预警中地震事件判别和地震定位,是实现基于地震台网地震预警的首要条件.针对地震预警中P波震相拾取的特点,本文发展了一套基于长短时平均(STA/LTA)和池赤准则(AIC)算法的多步骤P波自动拾取技术,应用Delaunay三角剖分提出了一种非几何相关的干扰信号剔除方法,并应用福建省数字地震台网记录对方法进行了验证,目前方法已经用到了福建省地震预警试验系统中.
Automatic identification of P-arrival can be used for event recognition and earthquake location,and it is the prerequisite for regional Earthquake Early Warning(EEW) system.According to the characteristics of EEW system,a set of automatic P-arrival picking method has been developed.The picking method is based on the Short-Term-Average/Long-Term-Average(STA/LTA) and Akaike Information Criterion(AIC),and an interference signal eliminating method is based on the Delaunay triangulation of a seismic network.The method was tested on real continuous data at Fujian Digital Seismic Network off-line and on-line.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2013年第7期2313-2321,共9页
Chinese Journal of Geophysics
基金
国家科技支撑计划项目课题(2009BAK55B01)
地震行业科研专项(200808024)
国家自然科学基金青年科学基金项目(40804011)资助