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气象:2009,35(3):49-59
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闪电电场变化波形时域特征分析及放电类型识别
(1.中国科学院寒区旱区环境与工程研究所,兰州 730000;2.中国气象科学研究院雷电物理和防护工程实验室)
A time domain Analysis on Waveform Change of Lightning Electric Field and Identification of Discharge Types
(1.Cold and Arid Regions Environmental and Engineering Institute, Chinese Acade my of Sciences, Lanzhou 730000;2.Laboratory of Lightning Physics and Protection Engineering, Chinese Academy of Meteorological Sciences)
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投稿时间:2008-04-29    修订日期:2008-12-16
中文摘要: 对闪电电场变化波形进行时域特征分析,研究闪电放电类型识别方法,是闪电探测系统研制 工作的重要组成部分。利用闪电快电场变化资料,研究分析闪电波形的时域特征,分别统计 负地闪回击和双极性窄脉冲波形的上升时间、下降时间、脉冲宽度等多个特征参数,得出负 地闪回击波形上升时间平均值为2.9μs、下降时间平均值为89μs、脉冲宽度平均值为15.4 μs,而双极性窄脉冲波形的上升时间平均值为1.7μs、下降时间平均值为2.1μs、脉冲宽 度平均值为2.4μs。通过对闪电波形参数的统计分析,给出了不同放电过程的识别判据,实 现了对地闪回击、双极性窄脉冲的自动识别,并利用实测数据进行了验证。结果表明,制定 的波形识别判据对负地闪回击的识别效率可达到90%,对正地闪回击与双极性窄脉冲事件也 有较高的识别率。
Abstract:The time domain analysis on waveform change of lightning electric field and the identification of discharge types are one of the most important works in the st udy of lightning detection system. The rise time, fall time, pulse width and a series of time domain features of return strokes and narrow bipolar events we re given through analyzing the fast electric filed change data our system acquir ed. The rise time of the negative return stroke fields had an average of 2.9μ s, its fall time and pulse width were 89μs, 15.4μs on average.The average rise time value of the narrow bipolar events was 1.7μs. The mean of the fall t ime value and pulse width value of narrow bipolar events were 2.1μs and 2.4μs , respectively. Some of the results were consistent with other researcher’s, bu t some differences existed which is caused by the different equipment used. Neve rtheless all the waveform features we got was still valuable for the identificat ion. Based on these characteristics, a set of software which could distinguish r eturn strokes and narrow bipolar events automatically from all of the lightning radiations events was designed. The classification results were tested by manual selection of data, and it proved a 90% correctness of identifying negative retu rn strokes and a desired accuracy of identifying positive return strokes and nar row bipolar events. As a preliminary research of the waveform classification of lightning discharge events, this method already has a practical value. It can be used to distinguish cloud to ground lightning, cloud to cloud lightning and narrow bipolar events in the new lightning detection system.
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刘恒毅,董万胜,王涛,邱实,2009.闪电电场变化波形时域特征分析及放电类型识别[J].气象,35(3):49-59.
Liu Hengyi,Dong Wansheng,Wang Tao,Qiu Shi,2009.A time domain Analysis on Waveform Change of Lightning Electric Field and Identification of Discharge Types[J].Meteor Mon,35(3):49-59.