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GIS and Multi-Objective Optimization Model for the Design of Municipal Solid Waste Management Systems: Case Study of the Province of Tiznit, Morocco


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DOI: https://doi.org/10.15866/irece.v14i2.21767

Abstract


The selection of appropriate locations for Municipal Solid Waste (MSW) facilities, such as landfills and transfer stations, is considered a complicated and important task in MSW management systems and it should comply with government regulations, environmental, social and health constraints. This paper presents a methodology to assist in the optimal siting of landfills and transfer stations and the identification of the optimal waste transport scenario minimizing total cost, number of vehicles, and greenhouse gas emissions using a combination of Geographic Information System (GIS) and a multi-objective optimization model. The developed methodology applied on the MSW management system of the province of Tiznit defines the optimal transport scenario and selects 1 optimal location among 5 potential locations for landfills, and 2 optimal locations among 9 potential locations for transfer stations with an optimal overall cost of 35023 MAD/day, a total number of vehicles of 58 and a total Greenhouse Gas (GHG) emissions of 2063 kgCO2eq/day. A sensitivity analysis has concluded that the compaction factor for the collection and transfer vehicles has been the most sensitive parameter and a compaction factor of 2 reduces the number of vehicles by 36.2% and the GHG emissions by 46.24%.
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Keywords


GIS; Multi-Objective Optimization Model; Municipal Solid Waste Systems Design; Landfill; Transfer Station; Optimal Locations; Optimal Transport Scenario

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References


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