Abstract:We use a phasenet model for deep learning detection of seismic signals to detect the MS6.6 earthquake sequence in Minxian, Gansu province. According to the seismic correlation technology and absolute positioning hypoinverse method, we construct the AI detection directory. Compared with the manual analysis of seismic directory and seismic phase report, we analyze the error range of AI automatic processing of seismic events. The results show that AI technology realizes 85.5% manual work, and the positioning error is normally distributed within 20 km. AI method has played a significant role in the detection of low magnitude earthquake events. Compared with manual processing, the AI method has good stability, does not depend on personal experience level, and has fast analysis speed. It can play a key role in the rapid output of earthquake catalog after a large earthquake, quickly improve the ability of earthquake analysis and save human labor.
YIN Xinxin,YANG Xiaopeng,CAI Run et al. Accuracy Analysis of Automatic Seismic Signal Processing Method Based on PhaseNet[J]. jgg, 2022, 42(8): 870-873.