A Research on Cloud-to-Ground Lightning Statistical Methods Based on LLS

Binghao Li, Jinqiang He, Y. Liao, Hao Li, Hao Pan, Yeqiang Deng
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Abstract

Thunderstorms are among the most damaging weather events. Selecting an appropriate statistical method based on the lightning location system is an effective way to estimate lightning parameters, and so as to propose lightning protection schemes. In this paper, theory, calculation efficiency and computational accuracy of two typical statistical methods are summarized and reviewed. The performances of these two methods in different landforms and with/without transmission line towers are compared. It is found that for a large statistical region, adopting the improved grid statistic method can improve the calculation efficiency without compromising accuracy. For regions with noticeable terrain difference, the circular domain statistic method is a better choice. Selecting 1 km as the radius of the statistical area is appropriate to fully reveal the difference of lightning parameters in different terrain, and to meet the accuracy requirements at the same time.
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基于LLS的云对地闪电统计方法研究
雷暴是最具破坏性的天气事件之一。基于雷电定位系统选择合适的统计方法是估计雷电参数,进而提出防雷方案的有效途径。本文对两种典型统计方法的理论、计算效率和计算精度进行了总结和评述。比较了两种方法在不同地形和有无输电铁塔条件下的性能。研究发现,对于较大的统计区域,采用改进的网格统计方法可以在不影响精度的前提下提高计算效率。对于地形差异明显的地区,圆域统计方法是较好的选择。选择1 km作为统计区域的半径,既能充分揭示不同地形下闪电参数的差异,又能满足精度要求。
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