B. Xiao, Ma Duanzhu, Liping Dai, Haocen Li, Zaihua Guo, Jinbao Liu
{"title":"Application Research of Lightning Monitoring Data in Regional Lightning Disaster Risk Assessment","authors":"B. Xiao, Ma Duanzhu, Liping Dai, Haocen Li, Zaihua Guo, Jinbao Liu","doi":"10.1109/ICMO49322.2019.9025969","DOIUrl":null,"url":null,"abstract":"In this paper, lightning distribution data is used to analyze the lightning distribution characteristics of the region. Based on this, a method of regional lightning disaster risk assessment is given, which builds a three-tier hierarchical structure model and analyzes each risk index which respectively from four aspects such as the lightning risk, the region risk, the hazard-affected bodies risk and defense risk, simultaneously applies the fuzzy comprehensive evaluation method to make predictive evaluation of the lightning risk grade in a region. Regional lightning disaster risk assessment method uses the fuzzy mathematics knowledge to analyze and calculate, calculate the membership degree matrix of each index, and the weight of each index is determined by the fuzzy judgment matrix sorting method, and makes fuzzy comprehensive evaluations about the three levels. Finally an actual project is evaluated using the regional lightning disaster risk assessment method. The practical application shows that, the method can give decision-making guidance for project location, classification of lightning risk and measures to avoid the thunder.","PeriodicalId":257532,"journal":{"name":"2019 International Conference on Meteorology Observations (ICMO)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Meteorology Observations (ICMO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMO49322.2019.9025969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, lightning distribution data is used to analyze the lightning distribution characteristics of the region. Based on this, a method of regional lightning disaster risk assessment is given, which builds a three-tier hierarchical structure model and analyzes each risk index which respectively from four aspects such as the lightning risk, the region risk, the hazard-affected bodies risk and defense risk, simultaneously applies the fuzzy comprehensive evaluation method to make predictive evaluation of the lightning risk grade in a region. Regional lightning disaster risk assessment method uses the fuzzy mathematics knowledge to analyze and calculate, calculate the membership degree matrix of each index, and the weight of each index is determined by the fuzzy judgment matrix sorting method, and makes fuzzy comprehensive evaluations about the three levels. Finally an actual project is evaluated using the regional lightning disaster risk assessment method. The practical application shows that, the method can give decision-making guidance for project location, classification of lightning risk and measures to avoid the thunder.