Application of Automatic Cataloging Software in Shanxi Early Warning Network
This article uses a deep learning based earthquake detection algorithm to automatically pick up seismic phases offline from the continuous waveforms recorded by the Shanxi Early Warning Network.From continuous waveform detection,arrival time picking,earthquake correlation,earthquake positioning and magnitude determination,a complete earthquake catalog is ultimately formed,which is the result of automatic cataloging.The earthquake parameters generated by the automatic cataloguing are compared with the unified cataloguing results of the China Earthquake Networks Centerfrom the three aspects of earthquake occurrence time,epicenter location and magnitude.The comparison results show that the average deviation of the earthquake occurrence time is-0.1 s,the average deviation of the epicenter position is 3.9 km,and the average deviation of the magnitude is 0.2.The deviation results are not significant,indicating that the automatic identification of earthquake positioning by the early warning network has high accuracy and good consistency with the results of the network center catalog.The next step can be included in the daily work of the early warning network.
万方数据
维普
