定点形变观测数据异常自动判别方法研究  

Research on the Anomaly Automatic Discrimination Method of Fixed-point Deformation Observation Data

作　　者：陈珊桦 蔡佩蕊 陈新兴 尤宇星 CHEN Shanhua;CAI Peirui;CHEN Xinxing;YOU Yuxing(Quanzhou Earthquake Monitoring Center Station,Fujian Quanzhou 362000,China)

机构地区：[1]泉州地震监测中心站,福建泉州362000

出　　处：《防灾减灾学报》2024年第2期63-68,共6页Journal of Disaster Prevention And Reduction

摘　　要：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。Based on the requirements of seismic stations for the daily preprocessing of fixed-point deformation 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 identification method of fixed-point deformation observation data is studied.And the automatic discrimination of abnormal 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 monitoring alarm and forecast consultation.

关 键 词：异常类型 定点形变 自动判别 滤波 频谱分析 

分 类 号：P315.72[天文地球—地震学]