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Quantifying land-use change impacts on the dynamic evolution of flood vulnerability
Institution:1. University of Granada, Dept. of Quantitative Methods for Economics and Business, Sciences and Economics Faculty, Campus La Cartuja s/n, 18071, Granada, Spain;2. University of Almería, Dept. of Applied Economic, Sciences and Economics Faculty, Ctra. de Sacramento s/n, 04120, La Cañada de San Urbano, Almería, Spain;3. University of Granada, Dept. of Mathematics Didactic, Education Sciences Faculty, Campus La Cartuja s/n, 18071, Granada, Spain;1. Department of Engineering, Universidad Católica de Colombia [Catholic University], Colombia;2. Geophysical Institute, Pontificia Universidad Javeriana, Colombia;3. Department of Theology, Pontificia Universidad Javeriana, Colombia
Abstract:Recently, dramatic flood disasters have occurred incrementally in several regions of the world. Land-use change as one of the main affecting factors becomes a key component in flood risk management. This study strives to deal with quantifying how changes in land use to affect the dynamic evolution of flood vulnerability. The floodplains of Wuhan, which are located in the Yangtze River Basin, have been selected as an example. In this paper, we use GIS to gather different historical geometric data as sources of land-use information. By proposing the Simpsons-dominance index and location index to analyze the characteristics of land-use changes, and building a quantitative model to measure flood vulnerability, a series of flood vulnerability maps demonstrate differential flood vulnerability of floodplains of Wuhan in three inundation scenarios and four historical periods. Finally, the non-parametric correlation is used to reveal the interactive effect of land use and flood vulnerability. Based on this study, comprehensive flood disaster management strategies for land-use planning are proposed for government decision-makers to reduce the flood vulnerability of Wuhan in future.
Keywords:Land-use change  Dynamic evolution  Flood vulnerability  China
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