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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1177/0734242X18773538
|2 doi
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|a pubmed24n0952.xml
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|a (DE-627)NLM285650734
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|a (NLM)29921168
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Spigolon, Luciana Mg
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Landfill siting based on optimisation, multiple decision analysis, and geographic information system analyses
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| 264 |
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|c 2018
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 13.08.2018
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|a Date Revised 02.12.2018
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a 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
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|a Journal Article
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|a Municipal solid waste
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| 650 |
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4 |
|a determining locations
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| 650 |
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4 |
|a geographic information systems
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| 650 |
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4 |
|a multiple decision analysis
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| 650 |
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4 |
|a optimisation
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| 650 |
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4 |
|a sanitary landfill
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| 650 |
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4 |
|a site selection
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| 650 |
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4 |
|a transportation
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| 700 |
1 |
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|a Giannotti, Mariana
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Larocca, Ana P
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Russo, Mario At
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Souza, Natália da C
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
|d 1991
|g 36(2018), 7 vom: 15. Juli, Seite 606-615
|w (DE-627)NLM098164791
|x 1096-3669
|7 nnns
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| 773 |
1 |
8 |
|g volume:36
|g year:2018
|g number:7
|g day:15
|g month:07
|g pages:606-615
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| 856 |
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|u http://dx.doi.org/10.1177/0734242X18773538
|3 Volltext
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