摘要
给出一种基于概率统计的地震事件公报评估算法.选择事件的发震时间、震中经纬度构造特征函数.当特征函数为正态分布时计算事件匹配概率,选择匹配概率大于90%的事件为匹配事件.将该算法应用于国际数据中心(IDC)自动处理与人工分析公报的比较分析.相对于人工分析结果,IDC数据自动处理的匹配率约为79%,误检率约为52.3%.该算法可应用于地震事件公报的日常对比分析、台网监测能力分析、数据自动处理结果评估等领域.
A seismic event bulletin evaluation algorithm based on probability analysis was proposed. An eigenfunction is constructed with origin time, latitude and longitude of the event. Suppose the eigenfunction obeys a normal distribution, then the event matching probability could be calculated. The events with matching probability greater than 90% were selected as the matching events. Initial application in comparison with IDC SEL3 and IDC REB shows that for automatic processing the event detection ratio is nearly 79% and false detection ratio is about 52.3%. The agorithm developed in this study can be used for routinely comparing event bulletins, and can also be applied to network monitoring capability analysis and automatic data processing evaluation.
出处
《地震学报》
CSCD
北大核心
2009年第3期342-346,共5页
Acta Seismologica Sinica
关键词
地震事件
事件公报
评估
概率
seismic event
event bulletin
evaluation
probability
