Spatial-Temporal Distribution and Impact Factors Analysis of Cloud-to-Ground Lightning Activity in Hubei China

被引：0
|
作者：
Tian Hao [1 ,2 ,3 ]
Fan Pen [1 ,2 ,3 ]
Feng Wanxing [1 ,2 ,3 ]
Wang Haitao [1 ,2 ,3 ]
Li Jian [1 ,2 ,3 ]
机构：
[1] NARI Grp Corp, State Grid Elect Power Res Inst, Nanjing, Peoples R China
[2] Wuhan NARI Co Ltd, State Grid Elect Power Res Inst, Wuhan, Peoples R China
[3] Hubei Key Lab Power Grid Lightning Risk Prevent, Wuhan, Peoples R China
来源：
PROCEEDINGS OF 2019 INTERNATIONAL FORUM ON SMART GRID PROTECTION AND CONTROL (PURPLE MOUNTAIN FORUM), VOL II | 2020年 / 585卷
关键词：
Cloud-to-ground lightning; Spatial-temporal analysis; Local Moran's index; GAM;
D O I：
10.1007/978-981-13-9783-7_50
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The cloud-to-ground lightning is a serious weather disaster, which has great harm to human security and fundamental construction. This paper explores the spatial-temporal distribution of cloud-to-ground lightning at Hubei Province in 2015. We firstly compute the Moran's index and the local Moran's index of the cloud-to-ground lightning density in each month. The distribution of the occurrence count, density and Moran's indexes is a parabola, and the peak locates in April and May of 2015. Then, we test the Moran's index results by p-value. The analysis shows that about 10% cloud-to-ground lightning region is clustered. Finally, we observed the probability of the lightning density is Quasi-Poisson distribution and fit the lightning density by General Additive Model (GAM). The experiment indicates precipitation, terrain roughness, altitude can be used for effectively predicting the ground lightning density level.
引用
收藏
页码：613 / 622
页数：10
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