Volume 13, Issue 3 (10-2017)
J Health Syst Res 2017, 13(3): 359-366 |
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Aghsaei H, Souri B. Landfill Site Selection for Municipal Waste Materials Using Inversion Hierarchical Weighing Process. J Health Syst Res 2017; 13 (3) :359-366
URL: http://hsr.mui.ac.ir/article-1-952-en.html
URL: http://hsr.mui.ac.ir/article-1-952-en.html
1- Department of Environmental Sciences, School of Natural Resources, University of Kurdistan, Sanandaj, Iran
2- Associate Professor, Department of Environmental Sciences, School of Natural Resources, University of Kurdistan, Sanandaj, Iran
2- Associate Professor, Department of Environmental Sciences, School of Natural Resources, University of Kurdistan, Sanandaj, Iran
Abstract: (1267 Views)
Background: Sanandaj City, Iran, with a population of 370,000 people, generates 330 tons of solid wastes daily. The current landfill site of the city has lost its capacity and caused environmental problems. This study attempted to determine land suitability for disposal of municipal solid wastes in Sanandaj. Landfill site selection is a spatial multi-criteria decision analysis (SMCDA) in which geographic information system (GIS) and multi-criteria decision-making methods are used.Methods: In this research, the Inversion Hierarchical Weight Process (IHWP) and GIS software were used to locate the best landfill location. For this purpose, 12 ecological and socio-economical information layers were weighted according to IHWP method. The map of land suitability for a landfill construction was obtained using overlay functions and 9 exclusionary criteria.Findings: Classification of the final map indicated that 91.5% of the study area was completely unsuitable for landfill site selection, while areas with the highest suitability contained only 0.16% of the city. Finally, an area with the extent of 44 hectares, located approximately 4 km north-west of Sanandaj, was identified as priority number one to establish a landfill.Conclusion: The results of this study show that IHWP method can be used as a new method for combining natural and artificial data layers in projects with site selection targets, including landfill site selection. Moreover, if it is accompanied by field surveys, it can provide the best decision-making options with regard to the goal.
Type of Study: Research |
Subject:
education health and promotion
Received: 2020/07/16 | Accepted: 2017/10/15 | Published: 2017/10/15
Received: 2020/07/16 | Accepted: 2017/10/15 | Published: 2017/10/15
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