摘要
利用2001-2020年广西台风灾害灾情和人口、社会经济数据,统计分析广西台风灾害农作物、人口和经济的暴露度和脆弱性特征.结果表明:(1)2011-2020年,广西年均台风灾害受灾人口、农作物受灾面积、直接经济损失分别比上一个10a平均减少57.3%、6.7%、1.7%,但极端灾害时有发生.(2)2011-2020年,广西台风灾害暴露度地域差异性较大.年均农作物暴露度高值区主要分布在桂中,桂西北最低.年均人口暴露度高值区主要分布在南宁、柳州、桂林和北海等人口密集的城市中心及桂东南地区,桂西北较低.经济暴露度分布特征与人口暴露度相似.(3)2011-2020年广西台风灾害的多年平均农作物、人口和经济脆弱性分别为4.4%、5.19%和0.21%.农作物和经济脆弱性较高的地区分布在沿海地区和崇左市,人口脆弱性较高的区域分布在桂南地区.2016-2020年与2011-2015年相比,整体均在减小.沿海地区和崇左市需重点防范台风灾害,提高防灾减灾能力,降低灾害风险.
Abstract
Based on the data of typhoon disaster,population and social economy in Guangxi from 2001 to 2020,the exposure and vulnerability characteristics of crops,population and economy in typhoon disaster in Guangxi were statistically analyzed.The results showed that:(1)from 2011 to 2020,the annual average typhoon disaster-affected population,crop-affected area and direct economic loss in Guangxi decreased by 57.3%,6.7% and 1.7%,respectively,compared with the previous 10 years,but extreme disasters occurred from time to time.(2)The geographical variability of typhoon disaster exposure were large in Guangxi from 2011 to 2020.The areas of high annual average crop exposure were mainly distributed in central Guangxi,and the lowest in northwest Guangxi.The areas of high average annual population exposure were mainly distributed in densely populated urban centers such as Nanning,Liuzhou,Guilin and Beihai and southeastern Guangxi,and the lower in Northwest Guangxi.The distribution characteristics of economic exposure were similar to that of population exposure.(3)The multi-year average crop,population and economic vulnerability to typhoon disasters in Guangxi from2011 to 2020 were 4.4%,5.19% and 0.21%,respectively.The areas with the high vulnerability of crops and economy were distributed in coastal areas and Chongzuo City,and the areas with high population vulnerability were distributed in southern Guangxi.All of them were decreasing in 2016-2020 compared with 2011-2015.Therefore,coastal areas and Chongzuo need to focus on preventing typhoon disasters,improve disaster prevention and mitigation capabilities,and reduce disaster risks.
维普
万方数据