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Flood risk assessment and mapping based on a modified multi-parameter flood hazard index model in the Guanzhong Urban Area,China
Authors:Xinyi?Dou  Email author" target="_blank">Jinxi?SongEmail author  Liping?Wang  Bin?Tang  Shaofeng?Xu  Feihe?Kong  Xiaohui?Jiang
Institution:1.Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences,Northwest University,Xi’an,China;2.State Key Laboratory of Soil Erosion and Dryland Farming ON the Loess Plateau,Institute of Soil and Water Conservation, CAS & MWR,Yangling,China
Abstract:The aim of this study is to promote appropriate land development policies and to improve operations of flood risk in urban areas. This study first illustrated a multi-parameter flood hazard index (FHI) model for assessing potential flood risk areas in the Guanzhong Urban Area (GUA), a large-scale urban area in northwestern China. The FHI model consisted of the following seven parameters: rainfall intensity, flow accumulation, distance from the river network, elevation, land use, surface slope, and geology. The parameter weights were assigned using an analytical hierarchy process and the sum weight of the first three parameters accounted for 71.21% of the total weight and had significant influence on flooding. By combining with population factor, the FHI model was modified to estimate the flood control area in the GUA. The spatial distribution of the flood risk was obviously different in the flood hazard area and flood control area. The very low risk and medium risk area in the flood control area increased by 11.19% and reduced by 9.03% compared to flood hazard area, but there were no obvious differences in other levels of risk areas. The flood control assessment indicated that very high flood risk areas were principally concentrated along river banks (the Weihe River and its tributaries) and in the middle of the Guanzhong Plain. Land use and population distribution are related to flooding. Especially, forestland was located in 84.48% of the very low risk area, while low risk areas were mainly located in 91.49% of high population dispersion area.
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