Abstract: 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.

Key words: Detection capability of earthquake, Sensitive station, Key monitoring region, Probability-based magnitude of completeness (PMC) method