Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2014 |
| Outros Autores: | , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10400.11/3071 |
Resumo: | The 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). |
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Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case studyGroundwaterUraniumGaussian simulationSpatial distributionÁgueda watershedThe 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).ElsevierRepositório Científico do Instituto Politécnico de Castelo BrancoAlbuquerque, M.T.D.Antunes, I.M.H.R.Seco, Maria de Fátima MagroRoque, NatáliaSanz-Lobón, Germán2015-11-16T13:51:29Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/3071enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T14:25:59Zoai:repositorio.ipcb.pt:10400.11/3071Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:40:01.587250Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| title |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| spellingShingle |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study Albuquerque, M.T.D. Groundwater Uranium Gaussian simulation Spatial distribution Águeda watershed |
| title_short |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| title_full |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| title_fullStr |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| title_full_unstemmed |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| title_sort |
Sequential Gaussian Simulation of uranium spatial distribution : a transboundary watershed case study |
| author |
Albuquerque, M.T.D. |
| author_facet |
Albuquerque, M.T.D. Antunes, I.M.H.R. Seco, Maria de Fátima Magro Roque, Natália Sanz-Lobón, Germán |
| author_role |
author |
| author2 |
Antunes, I.M.H.R. Seco, Maria de Fátima Magro Roque, Natália Sanz-Lobón, Germán |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
| dc.contributor.author.fl_str_mv |
Albuquerque, M.T.D. Antunes, I.M.H.R. Seco, Maria de Fátima Magro Roque, Natália Sanz-Lobón, Germán |
| dc.subject.por.fl_str_mv |
Groundwater Uranium Gaussian simulation Spatial distribution Águeda watershed |
| topic |
Groundwater Uranium Gaussian simulation Spatial distribution Águeda watershed |
| description |
The 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). |
| publishDate |
2014 |
| dc.date.none.fl_str_mv |
2014 2014-01-01T00:00:00Z 2015-11-16T13:51:29Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10400.11/3071 |
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http://hdl.handle.net/10400.11/3071 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
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Elsevier |
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Elsevier |
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