【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.更多还原

【Abstract】 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.更多还原