选取2022年以来乌兰浩特地震监测中心站记录的非天然地震事件和地震数据，基于发震时刻、P波初动方向、振幅衰减特性、AS/AP（振幅比）、频谱特性等，对非天然地震事件特征及识别方法进行研究。结果表明，非天然地震事件具有发生时间规律明显、P波初动向上识别率高、振幅衰减快、AS/AP比值偏小、低频特性明显等特征。此研究结果可作为地震台站识别非天然地震事件和地震的有效判据。
We select non-natural seismic events and seismic data recorded by the Ulanhot Earthquake Monitoring Center Station since 2022, and study the characteristics and identification methods of non-natural seismic events based on the earthquake occurrence time, P-wave initial motion direction, amplitude attenuation characteristics, AS/AP (amplitude ratio), and spectral characteristics. The results indicate that the non-natural seismic events have obvious occurrence time pattern, high identification rate of upward P-wave initial motion direction, fast amplitude attenuation, small AS/AP ratio, and obvious low-frequency characteristics. The results can serve as an effective criterion for identifying non-natural seismic events and natural earthquakes at seismic stations.
2023,44（6）: 37-41 收稿日期：2023-4-11
DOI：10.3969/j.issn.1003-3246.2023.06.006
基金项目：内蒙古自治区地震局局长基金（项目编号：2022JC17）
作者简介：王志勇（1986—），男，本科，助理工程师，主要从事地震监测预报工作。E-mail：11043318@qq.com
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