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中国农学通报

中国农学通报 ›› 2016, Vol. 32 ›› Issue (29): 155-160.doi: 10.11924/j.issn.1000-6850.casb16040172

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

2010-2012年安徽省闪电特征分析与应用研究

杨春明,马林,曹辉   

  1. 安徽省马鞍山市气象局,安徽省铜陵市气象局,安徽省马鞍山市气象局
  • 收稿日期:2016-04-28 修回日期:2016-09-29 接受日期:2016-08-10 出版日期:2016-10-12 发布日期:2016-10-12
  • 通讯作者: 杨春明
  • 基金资助:
    2016 年度安徽省气象科技发展基金项目“安徽省云地闪密度和雷暴日数的关系研究”(KM201606)。

Lightning: Characteristics Analysis and Application in Anhui During 2010-2012

曹辉   

  • Received:2016-04-28 Revised:2016-09-29 Accepted:2016-08-10 Online:2016-10-12 Published:2016-10-12

PDF (PC)

426

摘要： 为减少因闪电带来的人员生命和财产损失，研究安徽省闪电时空分布特征及其应用。采用Excel、Origin和Surfer软件作为统计分析方法，对2010年3月—2012年12月安徽省逐日闪电数据进行分析。结果表明：安徽地区以负闪为主；闪电月变化特征表现为单峰单谷型，暖季多冷季少，闪电次数集中发生在盛夏7月，6—9月为闪电集中发生时段；日变化上，正、负闪的2个高峰值时段分别出现在01—03时和15—17时，14—18时是一日当中对流性天气最集中时段；闪电强度变化特征表现为暖季高冷季低，月平均闪电强度46.2 kA，正、负闪电月平均强度峰值分别出现在7月和6月，高于30 kA的正、负闪电出现概率走势一致，正、负闪电强度值主要集中在0~30 kA之间；空间分布上，年平均闪电强度和密度高值区多发生在平原、丘陵和山区交接地带，也是安徽地区雷电灾害防御重点区域。同时，利用闪电资料和雷暴日数的关系，得出适用于安徽省16个地市的地闪密度计算公式。研究结果对指导本地工农业生产、工程建设具有非常重要的实际意义。

关键词: T639模式, T639模式, ECMWF, 日本模式, NECP模式, 效果检验

Abstract: In order to reduce life and financial losses caused by lightning, the research was carried out to explore the temporal and spatial distribution characteristics of lighting and its application in Anhui. Excel, Origin and Surfer software were adopted as statistical tools to analyze the daily lightning data in Anhui from March 2010 to December 2012. The results showed that: Anhui was dominated by negative lightning; the lightning was characterized by monthly unimodal change, more frequently in warm season while fewer in cold season; lightning happened most frequently in July, and concentrated between June to September; as for daily change, the positive peak and negative peak appeared from 1 to 3 o’clock and 15 to 17 o’clock, respectively; convective weather mostly concentrated from 14 to 18 o’clock; lightning intensity was high in warm season while low in cold season, the lightening intensity per month is 46.2 kA, positive lightening and negative lightening peak in July and June respectively, which is in accordance with the occurrence rate of positive and negative lightening above 30 kA, positive and negative lightening intensity mainly ranges from 0 to 30 kA; in terms of spatial distribution, the borders among plain, hilly and mountain showed the highest annual average lightning intensity and density, and were also the key places to prevent lightning disaster in Anhui. Based on the data related to the relationship between lightning and thunderstorm days, the authors derived a formula applicable to calculate the ground lightening density of 16 cities in Anhui. The results were of important practical significance for guiding the local industrial and agricultural production as well as engineering construction.