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作 者:司政亚 蒋长胜[1] 邱宇 SI Zheng-Ya;JIANG Chang-Sheng;QIU Yu(Institute of Geophysics,China Earthquake Administration,Beijing 100081,China;Beijing Earthquake Agency,Beijing 100080,China)
机构地区:[1]中国地震局地球物理研究所,北京100081 [2]北京市地震局,北京100080
出 处:《地震》2020年第2期82-90,共9页Earthquake
基 金:科技部科技基础资源调查专项课题(2018FY100504)。
摘 要:识别显著影响重点监视区地震检测能力的"敏感台站",对有针对性地开展地震台网运行维护和加强相关区域天然地震与非天然地震的监视跟踪工作有重要意义。利用基于概率的最小完整性震级(PMC)方法,通过对研究区地震台站进行"检测能力评分"(Dscore)和"缺失评分"(Missing Score)方式进行识别研究,以龙门山断裂南段强震危险区为例的重点监视区"敏感台站"识别结果表明,研究区内51个台站的"检测能力评分"及"缺失评分",可识别对重点监视区地震检测能力影响最大的台站,给出台站停止运行引起的最小完整性震级的变化,并探讨了多台站停止运行等造成影响的极限情况。上述"敏感台站"的识别方式,可为地震台网运行维护、针对特定目标区的地震监视跟踪和进一步的台网优化改造提供参考。It is of great significance to identify the Sensitive Stations which affect the seismic detection capability in the key monitoring region. Identifying Sensitive Stations is also particularly important to carry out the maintenance of seismic network and strengthen the monitoring and tracking for natural and non-natural earthquakes in the related areas. In this paper, we apply the probability-based magnitude of completeness(PMC) method, by calculating the Detection Capability Score(Dscore) and Missing Score to identify the seismic stations. We take the potential seismic risk region in the south of Longmenshan Fault as an example to identify the Sensitive Stations in the key monitoring region. The results show that by calculating the Dscore and Missing Score of stations in the study area, we can identify the stations which have great impact on the key monitoring region, and get the variation of completeness magnitude caused by the operation stopping of the station. In addition, we also discuss the impact of the key monitoring region after several stations stop running. The method of identifying Sensitive Stations can provide some reference for the maintenance of seismic network, seismic monitoring and tracking in the target area and the optimization and reconstruction of the seismic network.
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