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dc.contributor.authorDelgado Salgado, Mónica
dc.contributor.authorLópez Martínez, Ana 
dc.contributor.authorEsteban García, Ana Lorena 
dc.contributor.authorLobo García de Cortázar, Amaya 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2022-12-02T09:16:33Z
dc.date.available2022-12-02T09:16:33Z
dc.date.issued2023-01-01
dc.identifier.issn0301-4797
dc.identifier.issn1095-8630
dc.identifier.urihttps://hdl.handle.net/10902/26773
dc.description.abstractMethane generation in landfills can be estimated using mathematical models. One of the most widespread estimation models is that developed by the Intergovernmental Panel on Climate Change (IPCC). Despite its popularity, the simplicity that characterises this model markedly limits the possibility of representing operation alternatives, which can strongly impact surface emissions and hinder the introduction of local data that are sometimes available. In this study, the IPCC model was applied to a case study from which field data on gas emissions were available. To fit the model to the studied landfill conditions, a series of modifications were made, including changes in Degradable Organic Carbon (DOC) and methane generation rate constant (k) values, and degradation times for some waste fractions, and by considering leachate carbon and the inclusion of gas lateral migration phenomena or changes in the methane oxidation factor. The model's Final Version improved the fit of its Initial Version to the experimentally estimated values in the case study by more than 65%. Some modifications, such as considering the carbon dragged by leachate or the contour migration of gas, have a minor impact on the model's fit. However, changes in the degradation time of some fractions according to their particular pretreatment or the modification of parameter k in accordance with the moisture conditions in each landfill phase, strongly influence the model's results. This highlights the importance of particularising estimation models to achieve more accurate results, which allow better estimates of the efficiency of mitigation measures for landfill gas emissions in each facility.es_ES
dc.format.extent10 p.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceJournal of Environmental Management, 2023, 325(B), 116600es_ES
dc.subject.otherGreenhouse gaseses_ES
dc.subject.otherMethane emissionses_ES
dc.subject.otherLandfilles_ES
dc.subject.otherMunicipal wastees_ES
dc.subject.otherEstimationes_ES
dc.subject.otherModeles_ES
dc.titleThe importance of particularising the model to estimate landfill GHG emissionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1016/j.jenvman.2022.116600es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1016/j.jenvman.2022.116600
dc.type.versionpublishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International