灾害学2017，Vol.32Issue(1)：32-35,4.DOI:10.3969/j.issn.1000-811X.2017.01.007
江苏省雷电灾害危险性定量化评估及区划
Quantitative Assessment and Zoning of Lightning Hazard in Jiangsu Province
摘要
Abstract
In order to explore the quantitative risk assessment methods of lightning disaster,so then to provide more scientific decision-making basis for disaster prevention and mitigation,normalizing the Three-Dimensional lightning location system data and detailed lightning disaster data of Wuxi from 2013 to 2014,using the correlation method to choose three relevant significant indexes such as the number of lightning,the intensity of total lightning and the maximum intensity of lightning.By adopting the grey relational analysis,the weights of three disaster-cau-sing factors were calculated quantitatively,and the lightning disaster risk index model was constructed.The light-ning hazard was described quantitatively by endangers degree.Approximatively think that the prevention level of lightning disaster in Jiangsu province was nearly same,this model was applied in Jiangsu region,and the Jiangsu province was divided into many grids of 1 km × 1 km resolution with the help of GIS analysis tool.Different grid colors represent different endangers degrees of lightning disaster.The zonation results showed that the spatial distri-bution characteristics of lightning endangers degree were similar with the lightning density,and the high degree area was also more consistent with the high value area of lightning density,the difference was that the high endangers degree area range was greater than the high value area of lightning density,the evaluation results were more de-tailed and consistent with the fact,the assessment of lightning disaster risk using these methods and long-years lightning and disaster information can be more scientific and objective for lightning disaster prevention and mitiga-tion.关键词
雷电灾害/危险性/灰色关联度/定量/区划/江苏Key words
lightning disaster/hazard/grey relational analysis/quantitation/zonation/Jiangsu分类
天文与地球科学引用本文复制引用
陈广昌,崔逊,田心如..江苏省雷电灾害危险性定量化评估及区划[J].灾害学,2017,32(1):32-35,4.基金项目
江苏省科技厅项目 （）
