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定点形变观测数据异常自动判别方法研究

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基于地震台站对定点形变观测数据日常预处理的要求,利用一阶差分和滤波法结合地震目录、地震走时和气压数据,研究了定点形变观测数据异常的自动判别方法,实现对突跳、台阶、畸变、断记、超限等异常类型的自动判别,及可能产生异常的原因(地震或者气压扰动).研究结果可提高日常工作效率,同时对数据实时监控报警以及预报会商工作有一定的参考价值.
Research on the Anomaly Automatic Discrimination Method of Fixed-point Deformation Observation Data
Based on the requirements of seismic stations for the daily preprocessing of fixed-point deforma-tion observation data,according to the characteristics of the data,using first-order differential,filtering,combined with earthquake catalog,seismic travel and barometric pressure values,the automatic identifica-tion method of fixed-point deformation observation data is studied.And the automatic discrimination of ab-normal types such as jump,step,distortion,distortion,overrun is realized,The daily work efficiency is improved by using this method.At the same time,it has certain reference value for real-time data monitor-ing alarm and forecast consultation.

exception typesfixed-point deformationautomatic discriminantfilteringspectrum analysis

陈珊桦、蔡佩蕊、陈新兴、尤宇星

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泉州地震监测中心站,福建 泉州 362000

异常类型 定点形变 自动判别 滤波 频谱分析

2024

防灾减灾学报
辽宁省地震局,吉林省地震局,黑龙江省地震局,中国灾害防御学会

防灾减灾学报

影响因子:0.127
ISSN:1674-8565
年,卷(期):2024.40(2)
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