عنوان البحث(Papers / Research Title)
Al-Mseiab Qadaa Landfill Site Selection Using GIS and Multicriteria Decision Analysis
الناشر \ المحرر \ الكاتب (Author / Editor / Publisher)
محمد علي حسن الانباري
Citation Information
محمد,علي,حسن,الانباري ,Al-Mseiab Qadaa Landfill Site Selection Using GIS and Multicriteria Decision Analysis , Time 21/02/2019 11:24:07 : كلية الهندسة
وصف الابستركت (Abstract)
Solid waste management is becoming a more serious problem with time especially in developing countries like Iraq.
الوصف الكامل (Full Abstract)
Solid waste management is becoming a more serious problem with time especially in developing countries like Iraq. It is not regulated sufficiently in Iraq. At present, there are various techniques used for solid waste management such as landfill, thermal treatment, biological treatment, recycling etc. The landfill is the most common mode for the disposal of solid waste. There are no regulations for landfill site selection which is quite complex process. In this study, landfill site selection was performed by using Multicriteria Decision Analysis (MCDA) and Geographic Information System (GIS) for the Al-Mseiabqadaa. Even in the case of existing landfills in this qadaa, it’s temporary or non-conforming to the environmental condition. In order to determine landfill site that is good for the inhabitants and the environment several criteria (e.g. as Urban centers, Land use, Airports, Pipes, Power lines, Railways, Roads, Slope, Streams, Surface water, Industrial areas, Oil pipes, Liquid gas pipes, Soil types) were used to select the proper site. The MCDA was used to measure the relative importance weighting for each criterion used. Each map layer was formed with the aid of GIS and final suitability map was created by overlay analyses of each criterion map. According to obtained results, high and low suitable areas were determined in the study area. Field checks were also performed to determine the accuracy and suitability of candidate site. Keywords Landfill, Al-Mseiab, Multicriteria Decision Analysis, Geographic Information System
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