2013
DOI: 10.1177/0734242x13507310
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A framework for a decision support system for municipal solid waste landfill design

Abstract: A decision support system (Landfill Advisor or LFAdvisor) was developed to integrate current knowledge of barrier systems into a computer application to assist in landfill design. The program was developed in Visual Basic and includes an integrated database to store information. LFAdvisor presents the choices available for each liner component (e.g. leachate collection system, geomembrane liner, clay liners) and provides advice on their suitability for different situations related to municipal solid waste land… Show more

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Cited by 5 publications
(3 citation statements)
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“…AI for land management could improve the monitoring of waste treatment facilities and the detection of illegal landfills [190,[210][211][212][213][214][215]. But it might also lead to increased waste due to the required digital infrastructures and the digital-induced overconsumption [21].…”
Section: Group 3: Ai As a DImentioning
confidence: 99%
“…AI for land management could improve the monitoring of waste treatment facilities and the detection of illegal landfills [190,[210][211][212][213][214][215]. But it might also lead to increased waste due to the required digital infrastructures and the digital-induced overconsumption [21].…”
Section: Group 3: Ai As a DImentioning
confidence: 99%
“…The fundamental idea of cellular cut-offs is the creation of containment systems by using a screen with linking cross-walls at certain longitudinal distances (Verge and Rowe, 2013). The screen protects the surrounding environment against the transport of pollutants and significantly decreases the level of soil and groundwater contamination.…”
Section: Introductionmentioning
confidence: 99%
“…Increased population and economic development had greatly influenced enormous solid waste generation [1]. The rural-urban drift due to population increase and seeking for a better life has increased the quantity of wastes generated within the urban areas.…”
Section: Introductionmentioning
confidence: 99%