Mahnaz Eskandari; Mehdi Homaeei; Shahla Mahmoodi
Volume 11, Issue 3 , October 2013
Abstract
Landfill siting is a complicated landuse planning task. For optimized site selection, several environmental, technical, economical and socio-cultural criteria must be considered. This study presents a method for landfill site selection based on using the multi criteria decision analysis (MCDA) and geographic ...
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Landfill siting is a complicated landuse planning task. For optimized site selection, several environmental, technical, economical and socio-cultural criteria must be considered. This study presents a method for landfill site selection based on using the multi criteria decision analysis (MCDA) and geographic information system (GIS) combined with related experts opinions. The proposed method was then tested for siting of Municipal solid waste (MSW) landfill in Marvdasht. In the intelligence stage of the decision making, based on sampling and questionnaire results of 40 experts in MSW domain, some evaluation criteria were determined. Suitable maps were then obtained and digitized to make a GIS database of the study area. In decision making design step, two stages were employed. In the first stage, 13 constraints based on Iran’s environmental protection organization were determined. The Boolean map of spatial constraint was obtained with AND operation. In the second stage, the suitable site that was obtained in the first-stage analysis was evaluated in details based on 16 factors. The criteria were standardized and then the relative importance weight of them was estimated with rank ordering method based on different expert’s opinions. The obtained results of firs step indicated that only 11.12 percent of the whole region is suitable for landfill siting. Therefore, shortage of land is an important limiting factor in the study area. The obtained results of second step indicated that almost 4.4 percent of the whole region can be considered as best suitable place for landfill site. Keywords: GIS, Landfill Siting, Multi Criteria Decision Analysis, Municipal Solid Waste
Mahnaz Eskandari; Mehdi Homaee; Shahla Mahmodi; Ebrahim Pazira
Volume 11, Issue 2 , July 2013
Abstract
Municipal solid waste (MSW) landfill site selection is an important task in waste management, because the optimal siting must consider numbers of evaluation criteria. The objective of this study was to propose a new quantitative method for reducing the number of evaluation criteria inputs for landfill ...
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Municipal solid waste (MSW) landfill site selection is an important task in waste management, because the optimal siting must consider numbers of evaluation criteria. The objective of this study was to propose a new quantitative method for reducing the number of evaluation criteria inputs for landfill siting, simplifying the siting process and reducing the time needed as well as enhancing the multi-applicability of available soil maps. Consequently, after presenting the proposed method, it was applied to select a suitable landfill site for Marvdasht city and was compared to the common environmental siting method afterwards. At the first step, the necessary criteria for landfill siting including four constraint and eight factor criteria was specifically obtained from land classification map of the study area. In the next step, the criteria were standardized by rating approach and were then weighted. Thereafter, by using simple additive weighting method, the suitability map for landfill siting was obtained in a 0-1 domain and divided into five suitability classes. Comparing the results of the proposed method with the common environmental siting approach indicated that the best suitable lands for landfill siting based on both methods are located almost in the same region. Despite the fact that the numbers of evaluation criteria in the proposed method were less than the traditional methods, the weighting method was much easier and constructing the database for landfill siting was more convincing. Further, the results obtained from land classification map can well consider the productivity of soils.
