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Integrating Geographical Information Systems, Fuzzy Logic and Analytical Hierarchy Process in Modelling Optimum Sites for Locating Water Reservoirs. A Case Study of the Debub District in Eritrea

机译:集成地理信息系统,模糊逻辑和层次分析法,对水库的最佳选址进行建模。厄立特里亚Debub地区的案例研究

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The aim of this study was to model water reservoir site selection for a real world application in the administrative district of Debub, Eritrea. This is a region were scarcity of water is a fundamental problem. Erratic rainfall, drought and unfavourable hydro-geological characteristics exacerbates the region’s water supply. Consequently, the population of Debub is facing severe water shortages and building reservoirs has been promoted as a possible solution to meet the future demand of water supply. This was the most powerful motivation to identify candidate sites for locating water reservoirs. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative sites. Decisions regarding criteria are often accompanied by ambiguities and vagueness. This makes fuzzy logic a more natural approach to this kind of Multi-criteria Decision Analysis (MCDA) problems. This paper proposes a combined two-stage MCDA methodology. The first stage involved utilizing the most simplistic type of data aggregation techniques known as Boolean Intersection or logical AND to identify areas restricted by environmental and hydrological constraints and therefore excluded from further study. The second stage involved integrating fuzzy logic with the Analytic Hierarchy Process (AHP) to identify optimum and back-up candidate water reservoir sites in the area designated for further study.
机译:这项研究的目的是为厄立特里亚Debub行政区的实际应用建模水库选址。这是缺水地区的一个根本问题。不稳定的降雨,干旱和不利的水文地质特征加剧了该地区的水供应。因此,Debub的人口正面临着严重的水短缺,因此人们兴建了蓄水池,以此作为满足未来供水需求的可能解决方案。这是确定候选水库位置的最有力动机。存在许多相互矛盾的定性和定量标准,用于评估替代场所。关于标准的决定通常伴随着模棱两可和含糊不清。这使得模糊逻辑成为解决此类多准则决策分析(MCDA)问题的更自然的方法。本文提出了一种组合的两阶段MCDA方法。第一阶段涉及利用称为布尔交叉或逻辑与的最简单类型的数据聚合技术来识别受环境和水文约束限制的区域,因此不再进行进一步研究。第二阶段包括将模糊逻辑与层次分析法(AHP)集成在一起,以识别指定用于进一步研究的区域中的最佳和备用候选水库地点。

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