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首页> 外文期刊>Arabian journal of geosciences >Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)
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Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia)

机译:基于GIS的多标准决策分析和分析层次处理(AHP)在洪水敏感性映射中的应用(突尼斯)

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Flooding is considered as the most dangerous natural catastrophe in the world. This paper develops a spatial multi-criteria decision production prototype for the evaluation of flooding susceptibility for the city of Tunis. Eight criterions were considered in order to identify and assess the spatial distribution of hazardous zones and were integrated in the Geographical Information System (ArcGIS). The analytical hierarchy process (AHP) is a mathematical technique for flood hazard modeling and decision support based on the weight and rank of each flood factor in order to calculate Flood Hazard Index (FHI) to generate a flood susceptibility map. This was classified from very low to very high classes flood potential. Five classes are observed: 2.85% (very low), 7.5% (low), 17.95% (moderate), 20.63% (high), and 51.06% (very high). FHI was coupled with a sensitivity analysis to derive the Flood Hazard Index with sensitivity (FHIS). This index evaluates the effect of each criteria which allows for better assessment of the role of each parameter in flood susceptibility. The results of this study provide a basis to limit the impacts of flood and protect urban zone against inundation.
机译:洪水被认为是世界上最危险的自然灾难。本文开发了一种空间多标准决策生产原型,用于评估突尼斯市洪水易感性。考虑了八个标准,以识别和评估危险区域的空间分布,并集成在地理信息系统(ArcGIS)中。分析层次过程(AHP)是基于每个洪水因子的重量和等级的洪水危险建模和决策支持的数学技术,以计算洪水危险指数(FHI)以产生洪水敏感性图。这从非常低到非常高的洪水潜力。观察到五类:2.85%(非常低),7.5%(低),17.95%(中等),20.63%(高),51.06%(非常高)。 FHI与灵敏度分析相结合,以导出具有灵敏度(FHI)的洪水危险指数。该指数评估每个标准的效果,允许更好地评估每个参数在洪水易感性中的作用。本研究的结果为限制洪水的影响提供了基础,保护城市区免受泛滥。

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