地震地磁观测与研究2024，Vol.45Issue(2)：158-163,6.DOI:10.3969/j.issn.1003-3246.2024.02.020
内蒙古测震台网实时智能地震处理系统运行实践
Operation practice of real-time intelligent seismic processing system for the Nei Monggol seismic network—Taking the 2020 Helinger earthquake event as an example
摘要
Abstract
To evaluate the reliability of the Real-time Intelligent Seismic Processing System(RISP)in the operation of the Nei Monggol seismic network,31 earthquake events occurred in the area within 30 days before and after the Helinger ML 4.5 earthquake that occurred on March 30,2020,were taken as the research object.The results of manual cataloging and real-time intelligent seismic processing system output(automatic cataloging)were compared and analyzed,and the following conclusions were drawn:The number of events identified by the real-time intelligent seismic processing system(RISP)is about 2.5 times that of manual identification.The automatic catalog matches 30 events from the manual catalog,and the event recall rate is as high as 96.8%.The automatic catalog has a smaller deviation from the manual catalog in terms of the time of earthquake occurrence,epicenter position,magnitude,and P and S phase arrivals.By comparing the results of automatic and manual catalogs,it can be seen that the cataloging results for the same event in both catalogs are consistent,with an epicenter deviation generally within the range of±10 km and an earthquake occurrence time generally within the range of±2 s.The automatic catalog basically meets the requirements of the error range for manual cataloging.Overall,the output results of the Real-time Intelligent Earthquake Processing System(RISP)meet the expected goals and can provide data support for scientific research such as rapid post-earthquake aftershock sequences and earthquake swarm trend judgment.关键词
震相识别/地震检测/深度学习/和林格尔/自动编目Key words
seismic phase identification/earthquake detection/deep learning/Helinger/automatic cataloging引用本文复制引用
翟浩,王勇,王禄军..内蒙古测震台网实时智能地震处理系统运行实践[J].地震地磁观测与研究,2024,45(2):158-163,6.基金项目
内蒙古自治区地震局局长基金(项目编号:2022JC04) （项目编号:2022JC04）
