主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2022, Vol. 38 ›› Issue (3): 144-149.doi: 10.3969/j.issn.1673-503X.2022.03.017

• 论文 • 上一篇    下一篇

基于ADTD闪电定位资料的重庆市地闪特征分析

任照环1(),李卫平1,曾宇2,何静1,覃彬全3,许伟1,*()   

  1. 1. 重庆市防雷中心, 重庆 401147
    2. 重庆萊霆防雷技术有限责任公司, 重庆 401147
    3. 重庆市气象安全技术中心, 重庆 401147
  • 收稿日期:2021-01-15 出版日期:2022-06-28 发布日期:2022-07-23
  • 通讯作者: 许伟 E-mail:282013646@qq.com;1340106885@qq.com
  • 作者简介:任照环, 男, 1985年生, 工程师, 主要从事雷电科学与防护技术研究, E-mail: 282013646@qq.com
  • 基金资助:
    重庆市科委技术创新与应用示范项目(cstc2018jscx-msybX0137);重庆市气象部门智慧气象技术创新团队项目(ZHCXTD-202021)

Analysis of characteristics of ground flash in Chongqing based on ADTD lightning location data

Zhao-huan REN1(),Wei-ping LI1,Yu ZENG2,Jing HE1,Bin-quan QIN3,Wei XU1,*()   

  1. 1. Chongqing Lightning Protection Center, Chongqing 401147, China
    2. Chongqing Laiting Lightning Protection Technology Limited Liability Company, Chongqing 401147, China
    3. Chongqing Meteorological Safety Technology Center, Chongqing 401147, China
  • Received:2021-01-15 Online:2022-06-28 Published:2022-07-23
  • Contact: Wei XU E-mail:282013646@qq.com;1340106885@qq.com

摘要:

为了掌握重庆市雷电活动规律, 采用数理统计方法及ArcGIS软件, 对2008—2019年ADTD闪电定位资料进行分析, 得到了重庆市地闪频次的时空分布特征, 雷电流幅值、陡度的分布特征和累积概率分布函数。结果表明: 重庆市平均每年发生地闪2.08×105次, 其中负地闪占95.7%;地闪频次年际变化大, 最多年为3.04×105次, 最少年为1.27×105次, 月分布呈单峰型, 7—8月为雷电高发期, 占全年的57.9%, 日变化呈双峰型, 负地闪在夜间03时及下午17时到达峰值, 正地闪峰值出现时间比负地闪要晚1—2 h, 且午后的峰值远小于夜间; 地闪密度空间分布与地形关系密切, 大值区主要集中在山脉的交汇处及台地—丘陵向山地的过渡地带; 江津北部至重庆中心城区、开州南部至万州北部、忠县南部至石柱西部、永川南部—荣昌至大足西部为地闪密度大值区, 密度普遍大于3次·km-2·a-1, 局部大于6次·km-2·a-1; 总地闪平均幅值为37.9 kA, 其中10—50 kA的部分占80.1%, 概率峰值则出现在28 kA; 总地闪平均陡度为10.1 kA·μs-1, 其中5—20 kA·μs-1部分占92%, 概率峰值出现在8 kA·μs-1。利用最小二乘法回归拟合得到总地闪幅值及陡度的累积概率分布函数, 观测值和拟合值基本一致, 拟合较好。

关键词: 闪电定位资料, 地闪密度, 雷电流幅值, 雷电流陡度, 概率分布

Abstract:

To master the law of lightning activity in Chongqing, the ADTD lightning location data from 2008 to 2019 were analyzed in detail by using the mathematical statistics method and ArcGIS software.The temporal and spatial distribution characteristics of lightning frequency in Chongqing, the distribution characteristics of lightning current amplitude and steepness, and the cumulative probability distribution function were obtained.The results showed that the average annual occurrence of ground lightning in Chongqing is 208000 times, of which negative ground lightning accounts for 95.7%.The inter-annual variation of ground lightning frequency is large, with a maximum of 3.04×105 times per year and a minimum of 1.27×105 times per year.The monthly distribution is unimodal, and the high incidence period of lightning is from July to August, accounting for 57.9% of the whole year.The diurnal variation is bimodal, the negative lightning reaches the peak at 03:00 and 17:00.The peak time of positive lightning appears 1-2 hours later than that of negative lightning, and the peak value in the afternoon is much smaller than that at night.The spatial distribution of lightning density is closely related to topography, and the high-value area is mainly located at the intersection of mountains and the transition zone from the plateau hills to mountains.From the north of Jiangjin to the central urban area of Chongqing, the south of Kaizhou to the north of Wanzhou, the south of Zhongxian to the west of Shizhu, the south of Yongchuan, and from Rongchang to the west of Dazu are the areas with high ground flash density.The density is generally greater than 3 times·km-2·a-1, and locally greater than 6 times·km-2·a-1.The average lightning current amplitude of total lightning is 37.9 kA, of which the part of 10-50 kA accounts for 80.1%, and the probability peak value appears at 28 kA.The average steepness of total lightning is 10.1 kA·μs-1, of which 5-20 kA·μs-1 accounts for 92%, and the probability peak value appears at 8 kA·μs-1.The cumulative probability distribution function of the total flash amplitude and steepness was obtained by regression fitting with the least square method.The observed value and fitted value were basically consistent, and the fitting effect was good.

Key words: Lightning location data, Ground flash density, Lightning current amplitude, Lightning current steepness, Probability distributions

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