小波方法在宝鸡台地电场干扰处理中的分析研究

Research on Removing Noises in Geoelectric Field Observation at Baoji Station Using Wavelet Transform

摘要: 地电场观测是地震前兆预报中最重要的观测方法之一，而实际前兆数据监测中，地电阻率供电对地电场数据造成了极大干扰，且使数据失去了原有价值。本文利用小波能够同时在时间域和频率域分辨率分析的特点，从小波变换的基本原理出发，结合Matlab仿真软件和小波工具箱，对受到地电阻率供电干扰的地电场数据进行处理。处理结果表明，采用此方法可以很好地消除地电场观测数据中地电阻率供电产生的干扰，还原信号的原始发展状态，为宝鸡台地电前兆观测提供了更加可靠的数据资料。

Abstract: Electric field observation is one of the most important observation methods in earthquake pre-cursor prediction, but in actual precursory data monitoring, earth resistivity power supply has caused a great disturbance for electric field data, losing its original value. Based on the advantages of wavelet analysis in the time domain and frequency domain, this paper introduced how to use Matlab simulation software and wavelet toolbox to deal with the electric field observation affected by earth resistivity power supply, from the basic principle of wavelet transform. The study results show that this method is a good way to eliminate interference electric resistivity in the power supply, not only reducing development status of the original signal, but also providing a more reliable data in geoelectric field observation at Baoji station.