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GIS-based MCDM - AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia

机译:基于GIS的MCDM - 干旱地区洪水敏感映射的AHP建模,东南突尼斯

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摘要

Floods are considered as a major natural disaster due to their devastating effects that lead to socio-economic losses. The present study is an attempt to prepare a flood hazard susceptibility map of the Gabes region using 'multi-criteria decision making - analytical hierarchy process' model in geographic information system environment. Eight factors have been used in the flood modeling: elevation, land use/land cover, lithology, rainfall intensity, drainage density, distance from the drainage network, slope, and groundwater depth. The impact of each factor contributing in the flood risk was examined by weights using analytical hierarchy process method. The results obtained shows that the most prominent flood occurrence factor is the elevation (22.5%), around 15% of the total area is flooded and the flood hazard index is equal 6.30. The validation of results by a susceptibility zones histogram showed that 74.51% of the observed flood areas are mainly concentrated in a moderate to very high susceptibility zone.
机译:由于其导致社会经济损失导致其毁灭性效应,洪水被视为一种重大的自然灾害。目前的研究是尝试使用地理信息系统环境中的“多标准决策 - 分析层次分析”模型来准备GABES区域的洪水危险敏感性图。洪水建模中使用了八种因素:海拔,土地利用/陆地覆盖,岩性,降雨强度,排水密度,距排水网络,坡度和地下水深度的距离。使用分析层次过程方法检查各因素在洪水风险中促进洪水风险的影响。得到的结果表明,最突出的洪水发生因素是升高(22.5%),约15%的总面积被淹没,洪水危险指数等于6.30。通过易感性区域的结果验证直方图显示,74.51%的观察到的洪水区主要集中在中等至非常高的易感区。

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