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dc.contributor.authorGarcia, D.
dc.contributor.authorArostegui, I. 
dc.contributor.authorPrellezo, R.
dc.date.accessioned2019-10-16T18:38:32Z
dc.date.available2019-10-16T18:38:32Z
dc.date.issued2019
dc.identifier.issn1364-8152
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1029
dc.description.abstractConducting global sensitivity analysis using variance decomposition methods in complex simulation models with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce the number of input factors and then apply a variance decomposition method to the reduced model. However, usually selection of input factors is not done robustly and convergence of the screening method is not ensured. We propose two new criteria, a criterion that mimics the visual selection of the input factors and a convergence criterion. In the application of the criteria to a complex model, the Morris screening method has needed 200 trajectories to converge and the visual criterion has outperformed other existing criteria. Our proposal ensures a robust combination of the Morris and the Sobol methods that provides an objective and automatic method to select the most important input factors with a feasible computing load to achieve convergence.en_US
dc.description.sponsorshipBasque Government IT1294-19 MTM2016-74931-Pen_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectConvergence criterionen_US
dc.subjectGlobal sensitivity analysisen_US
dc.subjectMorris elementary effect methoden_US
dc.subjectSelection criterionen_US
dc.subjectSobol variance decomposition methoden_US
dc.titleRobust combination of the Morris and Sobol methods in complex multidimensional modelsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1016/j.envsoft.2019.104517
dc.relation.publisherversionhttps://reader.elsevier.com/reader/sd/pii/S1364815219302300?token=03CC5CAE2897F00E88DA786F6FE6D48AD5A93D9B04D3A947733EABB2555B9D5FC7BECE7A48154E8870720147891C4F45en_US
dc.relation.projectIDES/1PE/SEV-2017-0718en_US
dc.relation.projectIDEUS/BERC/BERC.2018-2021en_US
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersionen_US
dc.journal.titleEnvironmental Modelling and Softwareen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España