南非地面打击点密度图

Sanele Gcaba, Hugh G. P. Hunt
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引用次数: 0

摘要

南非的闪电密度图源自符合IEC 62858标准的闪电定位系统(LLS),即南非气象局(SAWS)拥有和运营的南部非洲闪电探测网络(SALDN)。地面闪电密度(GFD)参数在全国范围内被广泛用于描述雷电风险,为有效的防雷提供依据。然而,空间和时间闪光聚类技术的特点是闪光由多个击球组成,只有第一个回击击球的参数,因此假设每次闪光有一个对地打击点(GSP)。因此,GFD参数没有考虑到每次闪光可能产生的多个GSPs,这一点从高速相机观测的地面真实数据中可以明显看出。因此,GFD参数可能低估了雷击风险的大小。本文提出了一个新的南非GSP密度图,使用来自符合IEC 62858的SALDN的相同闪电数据集来估计相关的闪电风险。GSP参数和相应的GSP地图是由GSP聚类算法导出的,该算法的成功率高达90%。在本文中,GFD是从2007年7月至2016年7月的SALDN数据中导出的,使用MATLAB®中的GSP聚类算法估计了GSP,其中150 m内的闪光笔划和重叠的误差椭圆形成了GSP。结果显示,平均每闪1.81 GSPs,在普马兰加省和夸祖鲁纳塔尔省的高海拔地区,GFD和GSPs之间的差异最大。
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Ground Strike Point Density Map of South Africa
South Africa's flash density map is derived from an IEC 62858 compliant Lightning Location System (LLS) known as the Southern African Lightning Detection Network (SALDN) owned and operated by the South African Weather Service (SAWS). The Ground Flash Density (GFD) parameter has been widely used to depict the lightning risk across the country to inform effective lightning protection. However, the spatial and temporal flash clustering technique characterises a flash consisting of multiple strokes with only the parameters of the first return stroke and therefore assumes a single Ground Strike Point (GSP) per flash. The GFD parameter thus does not account for possible multiple GSPs per flash as evident from ground-truth data in a form of high speed camera observations. The GFD parameter may therefore be underestimating the amount of lightning risk. This paper proposes a new South African GSP density map, using the same lightning dataset from the IEC 62858 compliant SALDN to estimate the associated lightning risk. The GSP parameter and consequently the GSP map is derived from a GSP clustering algorithm with a proven success rate of upto 90%. In this paper, the GFD has been derived from SALDN data between July 2007 and July 2016, the GSPs have been estimated using a GSP clusturing algorithm in MATLAB ®, where strokes of a flash within 150 m and overlapping error ellipses form a GSP. The results show a mean of 1.81 GSPs per flash with the highest difference between GFD and GSPs depicted around the high altitude areas of Mpumalanga and Kwazulu Natal provinces.
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