气象与减灾研究2024,Vol.47Issue(3) :227-234.DOI:10.12013/qxyjzyj2024-028

基于雷击指数的江西省雷电易发区域划分优化方法

Optimization Method for Lightning-Prone Region Division in Jiangxi Province Based on Lightning Index

高雅隽 周洁晨 段和平 夏雪
气象与减灾研究2024,Vol.47Issue(3) :227-234.DOI:10.12013/qxyjzyj2024-028

基于雷击指数的江西省雷电易发区域划分优化方法

Optimization Method for Lightning-Prone Region Division in Jiangxi Province Based on Lightning Index

高雅隽 1周洁晨 1段和平 1夏雪1
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作者信息

  • 1. 江西省气候中心,江西南昌 330096
  • 折叠

摘要

利用江西省1978-2013年雷暴日资料和2006-2021年雷电定位资料,选取90"× 90"的经纬度网格,基于ArcGIS软件采用3种方法对江西省雷电易发区域进行划分,统计分析了基于雷暴日和地闪密度单一指标的时空特性.在此基础上,设计了以雷暴日资料和雷电定位资料共同作为技术指标的雷击指数,建立了划分模型,选用定值划分法进行划分并绘制不同权重系数下的江西省雷电易发区域划分图.进一步采用雷电流幅值划分法对比验证.结果表明,江西省内采用雷击指数划分法时,权重系数a=0.3可信,且可改善单一指标划分引起的易发区分布单一和边界数据探测效率过低问题.

Abstract

Based on the thunderstorm day data from 1978 to 2013 and lightning location data from 2006 to 2021 in Jiangxi Prov-ince,a 90"×90"latitude-longitude grid was selected and three methods were used in ArcGIS software for spatial analysis of lightning-prone region.The spatiotemporal characteristics based on a single indicator of thunderstorm day and lightning density were statistically analyzed.On this basis,a lightning index was designed,using the above two types of data as technical indica-tors,and a division model was established.The fixed-value classification method was used to divide the areas.And then,light-ning-prone area maps of Jiangxi Province were generated under different weight coefficients.Further comparison and validation were conducted using the lightning current amplitude division method.The results showed that the weight coefficient a=0.3 was reliable using the lightning index division method in Jiangxi Province.This approach improved the issue of simplistic distri-bution of lightning-prone region and low detection efficiency at the boundaries that arose from using a single indicator.

关键词

雷电易发区域/雷击指数/定值划分/权重系数/雷电流幅值

Key words

lightning-prone region division/lightning index/fixed-value classification/weight coefficient/amplitude of light-ning current

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出版年

2024
气象与减灾研究
江西省气象学会

气象与减灾研究

影响因子:0.881
ISSN:1007-9033
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