气象与环境学报
氣象與環境學報
기상여배경학보
JOURNAL OF METEOROLOGY AND ENVIRONMENT
2011年
4期
39-43
,共5页
王欣眉%宋琳%王新功%樊荣
王訢眉%宋琳%王新功%樊榮
왕흔미%송림%왕신공%번영
雷暴日%闪电定位仪%雷击大地密度(Ng)
雷暴日%閃電定位儀%雷擊大地密度(Ng)
뇌폭일%섬전정위의%뢰격대지밀도(Ng)
Thunderstorm day%Lightning location system(LLS)%Lightning density(Ng)
选取1971—2008年青岛地区7个地面观测站雷暴日资料和2006—2009年闪电定位系统监测资料,统计分析青岛雷暴的时空分布规律,并以某大型石化项目为例,分析了该区域地闪的分布特征。结果表明:近38 a青岛地区雷暴日空间分布自东南向西北逐渐增多,季节性分布特征明显,主要集中在7月和8月。根据闪电定位资料,借助分析软件得出该石化项目附近雷电流强度分布图和雷电流累积概率分布曲线,进而得出对应的雷电流强度值,最大值为41.68 kA。利用闪电定位系统提供的地闪次数计算地闪密度Ng比用人工观测资料计算的结果更为客观,研究结果可为雷电灾害风险评估提供评估参数。
選取1971—2008年青島地區7箇地麵觀測站雷暴日資料和2006—2009年閃電定位繫統鑑測資料,統計分析青島雷暴的時空分佈規律,併以某大型石化項目為例,分析瞭該區域地閃的分佈特徵。結果錶明:近38 a青島地區雷暴日空間分佈自東南嚮西北逐漸增多,季節性分佈特徵明顯,主要集中在7月和8月。根據閃電定位資料,藉助分析軟件得齣該石化項目附近雷電流彊度分佈圖和雷電流纍積概率分佈麯線,進而得齣對應的雷電流彊度值,最大值為41.68 kA。利用閃電定位繫統提供的地閃次數計算地閃密度Ng比用人工觀測資料計算的結果更為客觀,研究結果可為雷電災害風險評估提供評估參數。
선취1971—2008년청도지구7개지면관측참뇌폭일자료화2006—2009년섬전정위계통감측자료,통계분석청도뇌폭적시공분포규률,병이모대형석화항목위례,분석료해구역지섬적분포특정。결과표명:근38 a청도지구뇌폭일공간분포자동남향서북축점증다,계절성분포특정명현,주요집중재7월화8월。근거섬전정위자료,차조분석연건득출해석화항목부근뇌전류강도분포도화뇌전류루적개솔분포곡선,진이득출대응적뇌전류강도치,최대치위41.68 kA。이용섬전정위계통제공적지섬차수계산지섬밀도Ng비용인공관측자료계산적결과경위객관,연구결과가위뇌전재해풍험평고제공평고삼수。
Based on the thunderstorm data in 7 observational stations from 1971 to 2008 and lightning monitoring data from lightning location system from 2006 to 2009 in Qingdao,the temporal and spatial distributions characteristics of thunderstorm were analyzed.The distribution characteristics of lightning in this region were also analyzed for a large scale petrochemical project as an example.The results indicate that thunderstorm days increase from the southeast to the northwest of Qingdao.Seasonal variations of thunderstorm are obvious,and most thunderstorms appear in July and August.According to the lightning location data,the distributions of current intensity of lightning and the accumulative probability of lightning current near the place of petrochemical project are obtained using a relative analysis software,and the corresponding current intensity values of lightning are also obtained.It is found that the largest value in this region is 41.68 kA.Lightning density Ng calculated by lightning data from lightning location system is more objective than that calculated by artificial observational data.The results could provide parameters for thunderstorm and lightning disaster assessment.