Estimation of hydraulic parameters under unsaturated flow conditions in heap leaching

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datacite.alternateIdentifier.citationMathematics and Computers in Simulation, 109, 31-20, 2015
datacite.alternateIdentifier.doi10.1016/j.matcom.2014.07.006
datacite.alternateIdentifier.issn0378-4754
datacite.creatorCariaga, Emilio
datacite.creatorMartinez, Ruben
datacite.creatorSepulveda, Mauricio
datacite.date2015
datacite.rightsRegistro bibliográfico
datacite.subjectParameter estimation
datacite.subjectHeap leaching
datacite.subjectRichards equation
datacite.titleEstimation of hydraulic parameters under unsaturated flow conditions in heap leaching
dc.description.abstractThe mathematical modeling of the unsaturated flow problem requires the simultaneous resolution of two problems: the Richards equation and the estimation of the hydraulic parameters involved in hydraulic conductivity and in the retention curve. Various techniques have been applied to both problems in a wide range of situations. In this article, a novel implementation of the processing techniques involved in copper heap leaching is presented. Specifically, the impact of the used numerical method and the selection of the parametric family are evaluated. From a methodological point of view, a global algorithm is proposed that integrates the solutions of both problems. Finally, our computational experiments are compared with previous experimental results from the Chilean copper mining industry and related works. (C) 2014 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
dc.description.ia_keywordproblems, hydraulic, unsaturated, flow, estimation, parameters, involved
dc.identifier.issn1872-7166
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/3698
dc.language.isoen
dc.publisherElsevier BV
dc.relationinstname: ANID
dc.relationreponame: Repositorio Digital RI2.0
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.sourceMathematics and Computers in Simulation
dc.subject.ia_odsODS 9: Industria, innovación e infraestructura
dc.subject.ia_oecd1nCiencias Naturales
dc.subject.ia_oecd2nMatemáticas y Estadística
dc.subject.ia_oecd3nMatemáticas
dc.type.driverinfo:eu-repo/semantics/article
dc.type.driverhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaireinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
oaire.citationEdition2015
oaire.citationEndPage31
oaire.citationStartPage20
oaire.citationTitleMathematics and Computers in Simulation
oaire.citationVolume109
oaire.fundingReferenceANID FONDECYT 11100358, 11105404 (Regular)
oaire.fundingReferenceANID BASAL CMM
oaire.fundingReferenceUniversidad de Chile
oaire.fundingReferenceCI2MA UDEC
oaire.fundingReferenceCONICYT Anillo ACT1118 (ANANUM)
oaire.fundingReferenceUDEC Red Doctoral REDOC.CTA UCO1202
oaire.licenseConditionCopyright © Elsevier B.V, 2014
oaire.resourceTypeArtículo
oaire.resourceType.enArticle
uct.catalogadorjvu
uct.comunidadIngenieríaen_US
uct.departamentoDepartamento de Ciencias Matemáticas y Físicas
uct.facultadFacultad de Ingeniería
uct.indizacionScience Citation Index Expanded - SCIE
uct.indizacionScopus
uct.indizacionInspec
uct.indizacionMathSciNet
uct.indizacionzbMATH
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