地闪回击电场波形参数分析及类型自动识别程序设计

Analysis of Electric Field Waveform Parameters of Cloud-to-Ground Lightning Return-Stroke and Program Design for Automatic Identification of Types

针对正负地闪准确区分识别技术手段较难的缺陷,对闪电电场的波形进行了分析,对地闪回击波形的参数特征进行了分析和统计,并研究闪电放电类型的自动识别。利用时间分辨率为50 ns的快天线电场变化和126 MHz甚高频(VHF)辐射资料,对雷暴过程中闪电的波形进行时域特征分析。通过对闪电电场波形数据的分析,给出了识别地闪回击的依据,设定回击的上升时间在1~20μs之间,下降时间在2.5~500μs之间,编写程序实现回击的自动识别,并进行了实际测试。结果表明,自动识别程序对负地闪回击的识别效率可达95%,实现了较为有效的自动识别,对于雷电探测和雷电防护工作来说有很大的实用价值。

Aiming at the defect that the positive and negative CG accurately distinguish recognition technology is difficult, the waveform of lightning electric field are analyzed, analysis and statistics on the parameters of return-stroke waveform are carried out, And study the automatic identification of lightning discharge types. By using the fast electric field variation of time resolution 50 ns and the 126 MHz very high frequency （VHF） radiation data, the characteristics of lightning waveform during thunderstorm are analyzed in time domain. Through the analysis of lightning electric field waveform data, gives back the lightning recognition basis, setting back the rise time between 1-20 s, fall time between 2.5-500 s, write the automatic recognition program counter, and the actual test. The results show that the recognition efficiency of automatic recognition program to negative ground return stroke is 95%, and the automatic identification is more effective. It has great practical value for lightning detection and lightning protection work.