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Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses.

Luciana Mg Spigolon¹, Mariana Giannotti², Ana P Larocca³

¹1 Departamento de Engenharia de Transportes, São Carlos, Brazil.

Waste Management & Research : the Journal of the International Solid Wastes and Public Cleansing Association, ISWA

|June 21, 2018

Summary

This study presents a methodology for selecting sanitary landfill sites and optimizing waste transport in São Paulo, Brazil. The approach balances environmental, social, and economic factors to identify cost-effective disposal solutions.

Keywords:

Municipal solid waste determining locations geographic information systems multiple decision analysis optimisation sanitary landfill site selection transportation

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Area of Science:

Environmental Science
Operations Research
Waste Management

Background:

Sanitary landfilling is the primary global method for municipal solid waste disposal.
Increasing waste generation necessitates efficient landfill siting and waste transport solutions.
Economies of scale in landfill operations favor municipal consortia.

Purpose of the Study:

To develop a methodology for sanitary landfill site selection.
To optimize municipal solid waste transport costs.
To apply these methods to a specific region in São Paulo, Brazil.

Main Methods:

Integration of environmental, social, and economic criteria using multi-criteria decision analysis.
Geographic Information System (GIS) for data organization and mapping.
Mixed-Integer Quadratic Programming (MIQP) for cost minimization.

Main Results:

Scenario 1: 64% suitable, 9% medium suitability, 27% restricted area for landfills.
Scenario 2: 25% suitable, 4% medium suitability, 71% restricted area for landfills.
Optimal solutions identified sites for five landfills (Scenario 1) and four landfills (Scenario 2).

Conclusions:

The proposed methodology effectively identifies suitable sanitary landfill sites.
Optimized waste transport and landfill operation reduce overall costs.
The study provides a framework for sustainable waste management planning in the region.