基于雷电监测资料的南充市雷电灾害风险区划研究
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摘要
选取闪电密度、雷暴日、经济损失风险、生命损失风险等作为各县(市、区)雷电灾害易损性评估指标;并在此基础上,建立雷电灾害评估体系,对各县(市、区)的雷灾易损性进行了综合评价,进行区划分析。基于南充市雷电监测数据和人文经济指标而制作的全市雷电灾害风险区划,可以为全市雷电灾害防御提供科学依据,能有效降低因雷电灾害带来的生命财产损失和社会影响,提高灾害天气预报、预警能力,提升气象防灾减灾能力。基于南充市雷电监测数据而统计出的闪电密度、雷暴日数更具客观性。
The regionalization of lighting hazard, which is based on the lighting monitoring data and the humanities and economic indicators in Nanchong, can provide scientific basis for lightning disaster prevention in the city, effectively reduce the loss of life and property and social influence due to the lightning disasters, greatly strengthen the capability in the monitoring, early warning and fore-casting of natural disasters, and significantly improve the disaster prevention and mitigation ability. Meanwhile, the statistics of lightning density and the days of thunderstorm calculated from Nanchong lightning monitoring data is quite objective. In this paper, the factors such as lightning density, thunderstorm day, economic loss risk, and life loss risk are chosen as the lightning disaster vulnerability assessment indicators for different counties/cities/districts, and the lightning disaster assessment system is established based on these indicators. Then, the vulnerability of each county/city/district to lightning disaster is comprehensively evaluated and analyzed. Finally, the regionalization is carried out.
The regionalization of lighting hazard, which is based on the lighting monitoring data and the humanities and economic indicators in Nanchong, can provide scientific basis for lightning disaster prevention in the city, effectively reduce the loss of life and property and social influence due to the lightning disasters, greatly strengthen the capability in the monitoring, early warning and fore-casting of natural disasters, and significantly improve the disaster prevention and mitigation ability. Meanwhile, the statistics of lightning density and the days of thunderstorm calculated from Nanchong lightning monitoring data is quite objective. In this paper, the factors such as lightning density, thunderstorm day, economic loss risk, and life loss risk are chosen as the lightning disaster vulnerability assessment indicators for different counties/cities/districts, and the lightning disaster assessment system is established based on these indicators. Then, the vulnerability of each county/city/district to lightning disaster is comprehensively evaluated and analyzed. Finally, the regionalization is carried out.
引文
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[12] 黎梓华,梁和生,张宇,等.桂林市雷电灾害及风险区划研究[J].农业灾害研究,2012,2(1):83-86
[13] 卜俊伟.基于闪电定位资料的四川省雷电风险区划分析[J].高原山地气象研究,2014,34(2):87-88
[14] 刘岩,李征,程向阳,等.安徽省雷电灾害风险区划[J].南京信息工程大学学报(自然科学版),2014,6(2):163-168
[15] 程萌,王秀丽.基于闪电定位数据的鲁西南地区雷电灾害易损度区划[J].气象与环境科学,2017,40(4):126-131
[2] 张义军,周秀骥.雷电研究的回顾进展[J].应用气象学报,2006,17(6):829-834
[3] 邓德文,周筠珺.全球雷电活动研究进展[J].高原山地气象研究,2011,31(4):89-96
[4] 黄崇福,张俊香,陈志芬,等.自然灾害风险区划图的一个潜在发展方向[J].自然灾害学报,2004,13(2):9-15
[5] 李军玲,张弘,曹淑超.基于GIS的河南省冬小麦晚霜冻风险评估与区划[J].干旱气象,2015,33(1):45-51
[6] 焦雪,冯民学,钟颖颖.2006-2009年江苏省地闪特征分析及应用[J].气象科学,2011,31(2):205-210
[7] 郦嘉诚,钟颖颖,冯民学.江苏省区域闪电分布特征[J].大气科学学报,2012,35(3):380-384
[8] 周俊驰,王振会,冯民学,等.南京周边地区雷暴过境时电场特征及其在预警中的应用[J].高原气象,2013,32(5):1470-1477
[9] 李一丁,靳小兵,江毓忠,等.2005-2014年四川省云地闪观测产品集与雷电灾害风险区划[M].北京:气象出版社,2015:123-124
[10] 刘垚,缪启龙,刘淼,等.杭州市雷电活动特征及雷电灾害区划[J].气象与减灾研究,2011,34(4):62-67
[11] 马进.基于GIS的洛阳市高温灾害风险区划[J].气象与环境科学,2011,35(4):62-68
[12] 黎梓华,梁和生,张宇,等.桂林市雷电灾害及风险区划研究[J].农业灾害研究,2012,2(1):83-86
[13] 卜俊伟.基于闪电定位资料的四川省雷电风险区划分析[J].高原山地气象研究,2014,34(2):87-88
[14] 刘岩,李征,程向阳,等.安徽省雷电灾害风险区划[J].南京信息工程大学学报(自然科学版),2014,6(2):163-168
[15] 程萌,王秀丽.基于闪电定位数据的鲁西南地区雷电灾害易损度区划[J].气象与环境科学,2017,40(4):126-131