Academic Journal of Environment & Earth Science, 2022, 4(7); doi: 10.25236/AJEE.2022.040706.
Shuo Zhang, Ying Wang, Jun Yan, Shuting Li
Liaoning Provincial Meteorological Disaster Monitoring and Early Warning Center, Shenyang, 110166, Liaoning, China
In order to define the degree of lightning disaster risk of different areas and counties, taking Xiuyan County in Anshan, Linghai City in Jinzhou and Dashiqiao City in Yingkou of Liaoning Province as examples, this paper uses lightning locator data and geographic information data, adopts normalization method and natural break point method, and considers two evaluation indexes: the risk of disaster causing factors and the sensitivity of disaster causing environment. The lightning hazard zoning model was established by selecting ground lightning density, ground lightning intensity, altitude, topographic relief and soil electrical conductivity, and the lightning hazard zoning map was drawn. The results showed that the northwest and northeast of Xiuyan County, the northwest of Linghai City and the southeast of Dashiqiao City were high to very high risk areas, and the other areas were low risk areas and general risk areas.
Ground lightning; Hazard factor; Hazard inducing environment; Hazard risk
Shuo Zhang, Ying Wang, Jun Yan, Shuting Li. Analysis of Hazard Risk of Lightning Disasters in Different Geographical Areas of Liaoning Province. Academic Journal of Environment & Earth Science (2022) Vol. 4 Issue 7: 31-36. https://doi.org/10.25236/AJEE.2022.040706.
[1] He Shan, Zheng Qiyu, Yu Tianye, Zhang Kejie. Lightning hazard intensity level division based on lightning monitoring and positioning system [J]. Hubei Agricultural Science. 2022,61(01).
[2] Wang Yanhui, Zhang Jiantao, Ye Wenjun, et al. Research on Xinjiang Lightning Disaster Risk Zoning Based on ArcGIS [J]. Desert and Oasis Meteorology, 2019, 13(6): 96-104.
[3] Jiang Yan, Tan Mingyan, Li Lei, et al. Spatial and temporal distribution characteristics of cloud-to-ground lightninges in Shenzhen [J]. Journal of Meteorology and Environment, 2013, 29(5): 121-125.
[4] Feng Guili, Chen Wenxuan, Liu Shijun, et al. Analysis on the characteristics of lightning in Shandong [J]. Chinese Journal of Applied Meteorology, 2002, 13(3): 347-355.
[5] Zhu Hao, Sun Hao, Wang Kai, et al. Research on the relationship between cloud-to-ground lightning density and thunderstorm days in Anhui Province [J]. Journal of Meteorology and Environment, 2018, 34(1): 61-68.
[6] Yuan Xiangling, Ji Hua, Cheng Lin. Lightning disaster risk zoning in Heilongjiang Province based on AHP model [J]. Heavy Rain. Disaster, 2010 29(3): 279-283.
[7] Zeng Jinquan, Feng Zhenzhen, Zhang Yefang, Wang Yingbo, Shi Zongqiang. Regional lightning disaster risk assessment model and application [J]. Meteorological Science and Technology, 2017, 45(1): 179-183.
[8] Zhong Lianhong, Chang Meisheng. Effects of different soil resistivities on the process of lightning discharge [J]. High Voltage Technology, 1997, 23(1): 64-66.