الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
In the past decade, locating landfill site has been recognized as a significant planning problem and has subsequently received much attention from researchers in the planning sector. In particular, the siting of landfills is becoming more of an issue due to the prevalent “not in my backyard” (NIMBY) and “not in anyone’s backyard” (NIABY) concerns from the public. The purpose of this study, after identifying important criteria for siting landfills, was to develop a landfill site selection model using a Geographic Information Systems (GIS) framework and Multi-criteria decision making, (AHP and Rough sets) . The model is tested in Mansoura As a test case. Due to unavailability of electronic spatial data for Mansoura, the study was attended with creating of all electronic spatial data of Mansoura that required in the study. The three main objectives were to develop GIS criteria for locating the landfill, identify possible sites that were suitable for this type of development and evaluate the effectiveness of this integration between GIS and Multi criteria decision making methods used in the study. Production of constraint maps took place. Afterwards, the AHP and weighted linear method are used to generate weights for the decision criteria. After that, These weights are used to create an information table that consist of a set of conditional attributes (decision criteria) and decision attribute (suitability degree). The rough sets algorithms are applied to the information table to generate rough set rules that are used to create the optimum Suitability map with the aid of ArcGIS analysis tools. The optimum suitability map indicated that there were more optimal sites found within the study area. The results discovered that although highly suitable areas were limited, sites were still able to be chosen under the predefined parameters. The sites are not located on, or near, any environmental interest areas and is located a significant distance away from streams and urban areas, which minimizes social conflict and environmental impacts.