[关键词]
[摘要]
国家地震烈度速报与预警项目已进入试运行阶段,山东全省作为重点预警区,其预警能力直接关系山东及其周边地区的预警效能。为精确评估山东地震台网的监测预警能力,以本台网所记录到的波形数据为基础,将仪器最大概率峰值位移作为背景噪声评估指标获得山东地震台网的监测能力。在此基础上,考虑到预警时效性需求,系统评估了山东地震台网中,由125台速度计组成的测震台网、由152台加速度计组成的强震台网、由1198台烈度仪组成的烈度台网及其融合网的预警最小震级和首报时间。结果表明,山东地震台网平均监测能力达到ML0.4,最小值可达ML-0.2,最大值可达ML1.1; 测震、强震和烈度台网“三网”融合后预警最小震级、首台触发后和震后的预警时间平均值分别约为ML2.2、3s和5s,“三网”融合进行预警的策略可以满足地震预警“稳、准、快”的要求。
[Key word]
[Abstract]
The National Seismic Intensity Rapid Reporting and Early Earthquake Warning(EEW)project has entered the testing operation stage. Shandong Province,as a key early warning area,its EEW capability is directly related to the EEW effectiveness of Shandong and its neighboring regions. In this paper,we calculated the value of the monitoring capability of the Shandong Seismic Network based on the reliable noise data recorded by this network,and used the maximum probability peak displacement of the instruments as a background noise assessment index,to assess the monitoring and EEW capability of the Shandong Seismic Network. On this basis,considering the demand for early warning timeliness,the early warning minimum magnitude and first-reporting time of the seismic station network consisting of 125 velocimeters,the strong earthquake station network consisting of 152 accelerometers,the intensity station network consisting of 1,198 intensity meters,and their fusion networks in the Shandong seismic station network are systematically evaluated. The results show that the average monitoring capacity of the Shandong seismic network is ML0.4,the minimum value is up to ML-0.2,and the maximum value is ML1.1. The average values of the minimum magnitude,the warning time after the first trigger and the warning time after the earthquake are about ML2.2,3s and 5s,respectively,after the integration of the “three networks” of seismic,strong-earthquake and intensity stations. Our results suggests that the strategy of “three networks” fusion for early warning is good enough to meet the EEW requirements of “stable,accurate and fast”.
[中图分类号]
P315
[基金项目]
山东省地震局科研项目(YB2302)资助