太原理工大学学报2025，Vol.56Issue(2)：191-198,8.DOI:10.16355/j.tyut.1007-9432.20230171
博物馆地震响应监测中震相初至实时拾取方法研究
Study on the Method of Real-Time Picking up the First Break of Seismic Phase in Museum Response Monitoring
摘要
Abstract
[Purposes]Real-time automatic pickup of earthquake first arrival is a key problem in earthquake monitoring,and is also the basis and premise for realizing earthquake early warning,send-ing out earthquake alarm,and starting emergency response system.On the basis of characteristics of complex museum environment,low signal-to-noise ratio,non-stationary,and aperiodic signals,a real-time picking algorithm for automatic recognition of earthquake first break was proposed.[Meth-ods]The vibration signals that may exist in the museum were compared with the seismic signals under different intensities,different sites,and other conditions,and the difference between them is used to pick up the first arrival of the earthquake in real time.First,the signal was decomposed and recon-structed by wavelet packet,and the noisy seismic data was de-noised by the non-recursive filter threshold de-noising method to improve the signal-to-noise ratio,and then the short-term average over long-term average(STA/LTA)was used to calculate the first arrival time of the earthquake.The vibration signals collected in the Ganzi Tibetan Museum during the Luding 6.8 earthquake in Si-chuan were picked up and verified.[Findings]The result analysis shows that compared with tradi-tional seismic first arrival pickup,both the pickup at the first arrival time and the suppression of noise have a greater level of improvement,which realizes the accurate identification of the arrival of earth-quake within the first 0.2 s after the arrival of seismic wave,and proves the reliability of the method in this paper.关键词
地震初至/长短时窗均值比法/时频分析/小波包分析Key words
earthquake first arrival/short-term average over long-term average/time-frequency analysis/wavelet packet analysis分类
天文与地球科学引用本文复制引用
朱红光,梁世波,白晓彬,许臣..博物馆地震响应监测中震相初至实时拾取方法研究[J].太原理工大学学报,2025,56(2):191-198,8.基金项目
国家重点研发计划项目(2019YFC1521000) （2019YFC1521000）
北京市自然科学基金项目(8164061) （8164061）
国家自然科学基金项目(51578539) （51578539）
中央高校基本科研业务费优秀青年项目(2020YQLJ03) （2020YQLJ03）
中国矿业大学(北京)越崎青年学者"项目(800015Z11A23) （北京）
