Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses
| Autor: | Ana Paula Camargo Larocca, Mariana Abrantes Giannotti, Mario At Russo, Luciana Mg Spigolon, Natália da Costa Souza |
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| Rok vydání: | 2018 |
| Předmět: |
Environmental Engineering
Municipal solid waste Geographic information system 020209 energy Site selection 02 engineering and technology 010501 environmental sciences 01 natural sciences Decision Support Techniques LOGÍSTICA Waste production 0202 electrical engineering electronic engineering information engineering Cities 0105 earth and related environmental sciences Waste management business.industry Scale (chemistry) Pollution Refuse Disposal Waste Disposal Facilities Cost of treatment Geographic Information Systems Environmental science business Brazil Decision analysis |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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