Landfill Site Selection of urban wastes using Fuzzy Multi Criteria Decision Making Analysis (Case study: Andimeshk city)

Articles in Press

Document Type : Research Paper

Authors

1 Department of Environmental Sciences, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran

2 MSc Student of Evaluation and Land Use Planning, Department of Environmental Sciences, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology

3 Assistant Professor, Department of Rangeland and Watershed Management, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology

4 Instructor, Department of Environmental Sciences, Faculty of Natural Resources, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran.

10.22034/gp.2024.59310.3206

Abstract

Sanitary landfill is one of the most practical and major methods of urban waste disposal, which is mostly used in the urban waste management system to prevent negative environmental consequences. For this purpose, sitting the suitable place to landfill urban waste is very important. Therefore, the purpose of this research is to determine the optimal place for sanitary landfill of Andimeshk waste. After preparing the information layers of the criteria in the GIS environment, the layers were standardized and dimensionless using fuzzy membership functions, then the weighting of the criteria was done using Chang's FAHP method, and in the last step, the layers were combined using the WLC method. After combining the layers, the final map was classified into three suggested categories: suitable, relatively suitable and unsuitable. The result was that in the FAHP method, 23% of the studied area was identified as a suitable class for location. Also, an area equal to 38% of the area was found to be relatively suitable and an area equal to 39% of the area was found to be inappropriate in terms of the burial potential.

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Journal of Geography and Planning

Articles in Press, Accepted Manuscript
Available Online from 15 July 2024

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