空基电场数据处理方法综述

Overview of space-based electric field data processing methods

地震孕育过程中激发的电磁波穿过大气层进入太空,引起电离层物理参量发生变化,这些扰动信号可被卫星记录下来,因此电磁卫星作为一种监测预测地震的新手段越来越受到重视.卫星记录的数据具有时空同步变化性、数据量大等特点,需要采用多种数据处理方法进行分析.本文分析了卫星观测的地震前兆电场数据服务的不同需求,对地震电离层异常分析的不同阶段所采用的数据处理方法进行了梳理和总结,指出了不同方法的适应条件和环境,对几种典型的算法给出了实例分析效果.这为利用电磁卫星进行数据分析和研究的工作者提供了参考,具有现实意义.

Electromagnetic waves excited in the process of earthquake preparation can pass through the atmosphere and enter space, causing changes in ionospheric physical parameters. These disturbance signals can be recorded by satellites. Therefore, electromagnetic satellites, as a new means of monitoring and predicting earthquakes, have attracted more and more attention. With the characteristics of spatiotemporal synchronous change and large amount of data recorded by satellite, it needs a variety of data processing methods. This paper analyzes the different requirements of seismic precursory electric field data service observed by satellite, combs and summarizes the data processing methods used in different stages of seismic ionospheric anomaly analysis, points out the adaptive conditions and environment of different methods, and gives the practical analysis results of several typical algorithms. This provides a reference for workers who use electromagnetic satellites for data analysis and research, and has practical significance.