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《Journal of Anhui Agricultural Sciences》 2011-27
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GIS-based Risk Zoning of Flood Hazard in Anhui Province

GU Liu-wan et al(School of Geographic Information and Tourism,Chuzhou University,Chuzhou,Anhui 239000)  
[Objective] The aim was to study the flood disaster risks in Anhui Province based on GIS.[Method] Taking country as basic unit,the 1∶ 250 000 basic geographic data in Anhui Province as basis,from the angle of flood disaster hazard and economic vulnerability,by dint of the calculation of the weight of each impact factor with entropy-based fuzzy AHP method,flood risk assessment model was established to study the flood disaster risks zoning in Anhui Province.And using nearly 10 years of disaster information in Anhui Province,the flood risk zoning of Anhui Province was studied.And the risks evaluation results of flood disaster risks in Anhui Province in recent 10 years were checked.[Result] The regional difference of flood disaster in Anhui Province was large.The most serious area of flood disaster was in Lingquan in Fuyang and Lingbi in Huaibei.The risks degree degraded from south mountainous area in north Anhui Plain to the mountainous area of west Anhui Province,from Huaibei Plain to the hilly area of Jianghuai and mountainous area of south Anhui Province.The disaster situation in Anhui Province in recent 10 years suggested that the areas suffering serious economic losses were in Lingbi,Guzheng and Huainan in the south part of Huaibei Plain.The places having serious agricultural crops damages were in Tangshan and Xiao County in Huaibei Plain.Besides,the Jingzhai area in the Dabieshan in west Anhui Province also had serious agricultural crops in Jinzhai.Other places had limited disaster-stricken impacts;the distribution of disaster-stricken population and impacted area of agricultural crops were basically consistent.Therefore,the risk evaluation of flood disaster of Anhui Province based on GIS was basically consistent with reality.[Conclusion] This GIS-based flood risk zoning method has good practicability.
【Fund】: 安徽省教育厅自然科学基金(KJ2010B422)
【CateGory Index】: S422
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