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Integrating knowledge-based multi-criteria evaluation techniques with GIS for landfill site selection: A case study using AHP

机译:将基于知识的多标准评估技术与GIS集成以选择垃圾掩埋场:使用AHP的案例研究

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A major challenge in most growing urban areas of developing countries, without a pre-existing land use plan is the sustainable and efficient management of solid wastes. Siting a landfill is a complicated task because of several environmental regulations. This challenge gives birth to the need to develop efficient strategies for the selection of proper waste disposal sites in accordance with all existing environmental regulations. This paper presents a knowledge-based multi-criteria decision analysis using GIS for the selection of suitable landfill site in Ado-Ekiti, Nigeria. In order to identify suitable sites for landfill, seven factors - land use/cover, geology, river, soil, slope, lineament and roads - were taken into consideration. Each factor was classified and ranked based on prior knowledge about the area and existing guidelines. Weights for each factor were determined through pair-wise comparison using Saaty’s 9 point scale and AHP. The integration of factors according to their weights using weighted index overlay analysis revealed that 39.23 km2 within the area was suitable to site a landfill. The resulting suitable area was classified as high suitability covering 6.47 km2 (16.49%), moderate suitability 25.48 km2 (64.95%) and low suitability 7.28 km2 (18.56%) based on their overall weights.
机译:在没有预先制定的土地使用计划的情况下,发展中国家大多数正在发展的城市地区的主要挑战是对固体废物的可持续和有效管理。由于多项环境法规,对垃圾掩埋场进行选址是一项复杂的任务。这一挑战催生了根据所有现有环境法规制定有效策略以选择合适的废物处理场所的需求。本文介绍了一种基于GIS的基于知识的多准则决策分析方法,用于选择尼日利亚Ado-Ekiti的合适垃圾填埋场。为了确定合适的垃圾填埋场,考虑了七个因素-土地使用/覆盖,地质,河流,土壤,坡度,线条和道路。根据有关该领域的现有知识和现有准则对每个因素进行分类和排名。使用Saaty的9分制和AHP通过成对比较确定每个因素的权重。使用加权指数叠加分析法根据因子的权重进行整合,结果表明该区域内39.23 km 2 适于掩埋。产生的合适区域分为高适应性覆盖6.47 km 2 (16.49%),中适应性25.48 km 2 (64.95%)和低适应性7.28 km 2 (18.56%)(基于其总重量)。

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