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Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study

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dc.contributor.authorAlbuquerque, M.T.D.
dc.contributor.authorAntunes, I.M.H.R.
dc.contributor.authorSeco, Maria de Fátima Magro
dc.contributor.authorRoque, Natália
dc.contributor.authorSanz-Lobón, Germán
dc.date.accessioned2015-11-16T13:51:29Z
dc.date.available2015-11-16T13:51:29Z
dc.date.issued2014
dc.descriptionEste artigo deriva de uma comunicação apresentada em International workshop “Uranium, Environment and Public Health”, UrEnv 2013.
dc.description.abstractThe main purpose of this work is the uranium spatial distribution patterns in groundwater, within the Águeda river transboundary watershed (Portugal-Spain). Mineral resources occur distributed throughout the watershed, mainly sulphide and uranium minerals. Sixty-five groundwater samples were analyzed. Geostatistical modeling was used, throughout conventional variography and Sequential Gaussian Simulation algorithm, to model the groundwater uranium spatial distribution. A hundred simulations, differing in their initial random-number seed, were performed. Spatial uncertainty evaluation allowed the definition of future monitoring and sampling strategies as well as the measurement of remediation possibilities. Uranium hot spots are strongly embedded in the central area (Ciudad Rodrigo).pt_PT
dc.identifier.citationALBUQUERQUE, M.T.D. [et al.] (2014) - Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study. Procedia Earth and Planetary Science. 8, p. 2-6.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/3071
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S1878522014000034pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectGroundwaterpt_PT
dc.subjectUraniumpt_PT
dc.subjectGaussian simulationpt_PT
dc.subjectSpatial distributionpt_PT
dc.subjectÁgueda watershedpt_PT
dc.titleSequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage6pt_PT
oaire.citation.startPage2pt_PT
oaire.citation.titleProcedia Earth and Planetary Sciencept_PT
oaire.citation.volume8pt_PT
person.familyNameAlbuquerque
person.familyNameantunes
person.familyNameMartins Roque
person.givenNameMaria Teresa
person.givenNameIsabel Margarida
person.givenNameNatália
person.identifierNatália Martins Roque
person.identifier.ciencia-id5A1C-8956-4C0A
person.identifier.ciencia-idCB1E-FAD2-37D6
person.identifier.ciencia-id451A-332D-0798
person.identifier.orcid0000-0002-8782-6133
person.identifier.orcid0000-0003-3456-5926
person.identifier.orcid0000-0001-8859-4365
person.identifier.ridB-1536-2013
person.identifier.ridM-1043-2013
person.identifier.scopus-author-id55507421600
person.identifier.scopus-author-id6701817085
person.identifier.scopus-author-id57200227653
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione2c2d171-e148-4c23-9cf8-0eb6d810c15e
relation.isAuthorOfPublication1db83c95-f80c-41bb-b5c6-437ab32d9683
relation.isAuthorOfPublicationfaca1743-7a98-4404-acef-ab73a684d3c2
relation.isAuthorOfPublication.latestForDiscovery1db83c95-f80c-41bb-b5c6-437ab32d9683

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