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Siting MSW landfills using MCE methodology in GIS environment (Case study: Birjand plain, Iran)
Zeynab Karimzadeh Motlagh1, Mohammad Hossein Sayadi1
1Environmental Sciences Department, University of Birjand, Birjand, Iran.
Waste Management (New York, N.Y.)
|September 1, 2015
Summary
Selecting a landfill site in Birjand plain requires careful consideration of environmental and socio-economic factors. The Ordered Weighted Averaging (OWA) method, integrated with GIS, offers a flexible approach for complex decision-making in waste management.
Area of Science:
- Environmental Science
- Geographic Information Systems (GIS)
- Decision Science
Background:
- Rapid municipal solid waste growth in Birjand plain necessitates appropriate landfill site selection.
- Existing waste management strategies lack suitable site selection methods, leading to negative environmental impacts.
- Novel tools and technologies are imperative for identifying optimal landfill locations.
Purpose of the Study:
- To exhibit Multi-Criteria Evaluation (MCE) for landfill site selection in Birjand plain.
- To investigate environmental and socio-economic factors influencing landfill site suitability.
- To apply and evaluate the Ordered Weighted Averaging (OWA) method for complex decision-making.
Main Methods:
- Integration of Geographic Information System (GIS) with the Ordered Weighted Averaging (OWA) method.
- Utilized environmental criteria: slope, water resources, soil, land use, faults, and protected areas.
- Incorporated socio-economic criteria: distance from roads, urban areas, villages, airports, historical sites, and industries.
- Employed Analytical Network Process (ANP) for data comparison and Weighted Linear Combination (WLC) for model compounding.
- Applied five scenarios of the OWA method for aggregation and analysis.
Main Results:
- The fifth scenario proposed by the OWA method, utilizing field study data, identified the most suitable landfill site.
- The OWA method demonstrated significant potential and flexibility in modeling complex decision-making problems.
- Integration of GIS and OWA provided a robust framework for landfill site selection.
Conclusions:
- The OWA method is a powerful tool for addressing complex spatial decision-making challenges in environmental management.
- GIS-based MCE, particularly using OWA, can effectively guide sustainable landfill site selection.
- Further research can explore advanced OWA variations and fuzzy logic for enhanced site selection models.
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