Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses. Issue 7 (July 2018)

• Record Type: Journal Article
• Authors: Spigolon, Luciana MG; Giannotti, Mariana; Larocca, Ana P; Russo, Mario AT; Souza, Natália da C
• Is Part Of: Waste management & research. Volume 36:Issue 7(2018:Jul.)
• Page Start: 606
• Page End: 615
• Publication Date: 2018-07
• Subjects: Municipal solid waste -- sanitary landfill -- geographic information systems -- site selection -- optimisation -- determining locations -- multiple decision analysis -- transportation; Factory and trade waste -- Periodicals; Refuse and refuse disposal -- Periodicals; Municipal engineering -- Periodicals; Déchets industriels -- Périodiques; Déchets -- Élimination -- Périodiques; Génie urbain -- Périodiques; 628
• DOI: 10.1177/0734242X18773538
• Languages: English
• ISSNs: 0734-242X

Abstract

Sanitary landfill remains the most common methodology for final treatment and disposal of municipal solid waste worldwide, the cost per tonne depends on its scale. The bigger the landfill, the cheaper the cost of treatment, so the consortium of municipalities is the solution to achieve an economic scale. However, the growth of waste production introduces pressure for adequate solutions and therefore has been increasing sanitary landfill site selection studies. This study proposes a methodology for siting sanitary landfills and optimising the transport of municipal solid waste for a locality in the state of São Paulo, Brazil. Environmental, social, and economic criteria were established. Their correlated attributes were categorised into suitability levels and weighted according to multiple decision analysis. The data were organised and mapped within a geographic information system. Considering sites where landfills are prohibited, two scenarios were generated. The Mixed-Integer Quadratic Programming mathematical model is used to minimise the costs of transporting municipal solid waste and operating sanitary landfills. In Scenario 1, the results indicated that 64% of the area was suitable as a potential sanitary landfill site, 9% of the area exhibited medium suitability, and 27% of the area was classified as restricted. In Scenario 2, the results indicated that 25% of the area was suitable as a potential sanitary landfill site, 4% of the area had medium suitability, and 71% of the area was classified as restricted. The optimal solutions for Scenario 1 and Scenario 2 enabled sites to be determined for five landfills and four landfills, respectively.