Publicação
Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study
| Resumo: | Uranium in the environment results from natural geochemical processes and human actions. The discharges of uranium and associated radionuclides as well as metals and metalloids from waste and tailing dumps in uranium mining areas and processing sites expose the target area to risk of contamination, concerning surface and groundwater. Uranium is one of the most widespread contaminant in mining areas. Uranium and associated trace elements spatial distribution patterns, in groundwater, within the transboundary watershed of the Águeda River (Portugal-Spain) is the main purpose of the herein work. Uranium minerals and associated sulphides occur distributed along the all area and are a potential source of contamination. These mineral resources were exploited in the past and were abandoned without any monitoring or remediation processes. Seventy-five groundwater samples were selected, georeferenced and collected during June of 2012. Each water point was analysed each water point were analysed “in situ” parameters such as: temperature, pH, electrical conductivity, Eh, dissolved oxygen. Trace elements contents such as uranium, were determined by inductively coupled plasma coupled mass (ICP-MS). Groundwater’s Uranium distribution was obtained thorough a spatial statistics approach were simulated scenario, for Uranium spatial distribution (Sequential Gaussian Simulation) were discussed and considering the average map and the associated spatial uncertainty, for each was determined the standard deviation of a hundred simulations. In a second step Local G clustering was performed in order to obtain Uranium’s hot-spots distribution. Uranium hot spots are located preferentially in the central area of the Águeda watershed and clearly associated with the proximity to the mineralization and overlapping the old mine site. In the northern and southern regions it is possible to identify clusters of moderate to high Uranium contents. High spatial uncertainty of associated though, which indicates the need of future detailed monitoring. The obtained results demonstrate that the old U-mining activities are nevertheless a serious environmental risk factor in the survey region. Finally, intrinsic vulnerability of groundwater was assessed by the calculation of the DRASTIC index. The results allow the identification of the areas with higher risk of contamination and works as a tool for the definition of effective groundwater systems’ management and exploitation policies. |
|---|---|
| Autores principais: | Albuquerque, M.T.D. |
| Outros Autores: | Antunes, I.M.H.R. |
| Assunto: | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Castelo Branco |
| Idioma: | inglês |
| Origem: | Repositório Científico do Instituto Politécnico de Castelo Branco |
| _version_ | 1868350506909302784 |
|---|---|
| author | Albuquerque, M.T.D. |
| author2 | Antunes, I.M.H.R. |
| author2_role | author |
| author_facet | Albuquerque, M.T.D. Antunes, I.M.H.R. |
| author_role | author |
| contributor_name_str_mv | Repositório Científico do Instituto Politécnico de Castelo Branco |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Albuquerque, M.T.D.\",\"Person.identifier.orcid\":\"0000-0002-8782-6133\"},{\"Person.name\":\"Antunes, I.M.H.R.\",\"Person.identifier.orcid\":\"0000-0003-3456-5926\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico do Instituto Politécnico de Castelo Branco |
| datacite.creators.creator.creatorName.fl_str_mv | Albuquerque, M.T.D. Antunes, I.M.H.R. |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2015-11-16T13:46:49Z |
| datacite.date.embargoed.fl_str_mv | 2015-11-16T13:46:49Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| datacite.titles.title.fl_str_mv | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| dc.contributor.none.fl_str_mv | Repositório Científico do Instituto Politécnico de Castelo Branco |
| dc.creator.none.fl_str_mv | Albuquerque, M.T.D. Antunes, I.M.H.R. |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2015-11-16T13:46:49Z |
| dc.date.embargoed.fl_str_mv | 2015-11-16T13:46:49Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.11/3068 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | NOVA |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| dc.title.fl_str_mv | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_3248 |
| description | Uranium in the environment results from natural geochemical processes and human actions. The discharges of uranium and associated radionuclides as well as metals and metalloids from waste and tailing dumps in uranium mining areas and processing sites expose the target area to risk of contamination, concerning surface and groundwater. Uranium is one of the most widespread contaminant in mining areas. Uranium and associated trace elements spatial distribution patterns, in groundwater, within the transboundary watershed of the Águeda River (Portugal-Spain) is the main purpose of the herein work. Uranium minerals and associated sulphides occur distributed along the all area and are a potential source of contamination. These mineral resources were exploited in the past and were abandoned without any monitoring or remediation processes. Seventy-five groundwater samples were selected, georeferenced and collected during June of 2012. Each water point was analysed each water point were analysed “in situ” parameters such as: temperature, pH, electrical conductivity, Eh, dissolved oxygen. Trace elements contents such as uranium, were determined by inductively coupled plasma coupled mass (ICP-MS). Groundwater’s Uranium distribution was obtained thorough a spatial statistics approach were simulated scenario, for Uranium spatial distribution (Sequential Gaussian Simulation) were discussed and considering the average map and the associated spatial uncertainty, for each was determined the standard deviation of a hundred simulations. In a second step Local G clustering was performed in order to obtain Uranium’s hot-spots distribution. Uranium hot spots are located preferentially in the central area of the Águeda watershed and clearly associated with the proximity to the mineralization and overlapping the old mine site. In the northern and southern regions it is possible to identify clusters of moderate to high Uranium contents. High spatial uncertainty of associated though, which indicates the need of future detailed monitoring. The obtained results demonstrate that the old U-mining activities are nevertheless a serious environmental risk factor in the survey region. Finally, intrinsic vulnerability of groundwater was assessed by the calculation of the DRASTIC index. The results allow the identification of the areas with higher risk of contamination and works as a tool for the definition of effective groundwater systems’ management and exploitation policies. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | bookPart |
| fulltext.url.fl_str_mv | https://repositorio.ipcb.pt/bitstreams/e5371e28-0b16-40c4-833e-987042f85770/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10400.11/3068 |
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| institution | Instituto Politécnico de Castelo Branco |
| instname_str | Instituto Politécnico de Castelo Branco |
| language | eng |
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| organization_str_mv | urn:organizationAcronym:ipcb |
| person_str_mv | Albuquerque, M.T.D. Albuquerque, M.T.D. https://www.ciencia-id.pt/5A1C-8956-4C0A 5A1C-8956-4C0A http://orcid.org/0000-0002-8782-6133 0000-0002-8782-6133 Antunes, I.M.H.R. Antunes, I.M.H.R. https://www.ciencia-id.pt/CB1E-FAD2-37D6 CB1E-FAD2-37D6 http://orcid.org/0000-0003-3456-5926 0000-0003-3456-5926 |
| publishDate | 2015 |
| publisher.none.fl_str_mv | NOVA |
| reponame_str | Repositório Científico do Instituto Politécnico de Castelo Branco |
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| spelling | engNOVApt_PTUranium in the environment results from natural geochemical processes and human actions. The discharges of uranium and associated radionuclides as well as metals and metalloids from waste and tailing dumps in uranium mining areas and processing sites expose the target area to risk of contamination, concerning surface and groundwater. Uranium is one of the most widespread contaminant in mining areas. Uranium and associated trace elements spatial distribution patterns, in groundwater, within the transboundary watershed of the Águeda River (Portugal-Spain) is the main purpose of the herein work. Uranium minerals and associated sulphides occur distributed along the all area and are a potential source of contamination. These mineral resources were exploited in the past and were abandoned without any monitoring or remediation processes. Seventy-five groundwater samples were selected, georeferenced and collected during June of 2012. Each water point was analysed each water point were analysed “in situ” parameters such as: temperature, pH, electrical conductivity, Eh, dissolved oxygen. Trace elements contents such as uranium, were determined by inductively coupled plasma coupled mass (ICP-MS). Groundwater’s Uranium distribution was obtained thorough a spatial statistics approach were simulated scenario, for Uranium spatial distribution (Sequential Gaussian Simulation) were discussed and considering the average map and the associated spatial uncertainty, for each was determined the standard deviation of a hundred simulations. In a second step Local G clustering was performed in order to obtain Uranium’s hot-spots distribution. Uranium hot spots are located preferentially in the central area of the Águeda watershed and clearly associated with the proximity to the mineralization and overlapping the old mine site. In the northern and southern regions it is possible to identify clusters of moderate to high Uranium contents. High spatial uncertainty of associated though, which indicates the need of future detailed monitoring. The obtained results demonstrate that the old U-mining activities are nevertheless a serious environmental risk factor in the survey region. Finally, intrinsic vulnerability of groundwater was assessed by the calculation of the DRASTIC index. The results allow the identification of the areas with higher risk of contamination and works as a tool for the definition of effective groundwater systems’ management and exploitation policies.application/pdfpt_PTUranium spatio-temporal variability in groundwater : an environmental risk assessment case studyPersonalAlbuquerque, M.T.D.DSpacehttp://dspace.org/items/e2c2d171-e148-4c23-9cf8-0eb6d810c15eDSpacehttp://dspace.org/items/e2c2d171-e148-4c23-9cf8-0eb6d810c15eAlbuquerqueMaria TeresaCiência IDhttps://www.ciencia-id.pt5A1C-8956-4C0AORCIDhttp://orcid.org0000-0002-8782-6133Researcher IDhttps://www.researcherid.comB-1536-2013Scopus Author IDhttps://www.scopus.com55507421600PersonalAntunes, I.M.H.R.DSpacehttp://dspace.org/items/1db83c95-f80c-41bb-b5c6-437ab32d9683DSpacehttp://dspace.org/items/1db83c95-f80c-41bb-b5c6-437ab32d9683antunesIsabel MargaridaCiência IDhttps://www.ciencia-id.ptCB1E-FAD2-37D6ORCIDhttp://orcid.org0000-0003-3456-5926Researcher IDhttps://www.researcherid.comM-1043-2013Scopus Author IDhttps://www.scopus.com6701817085HostingInstitutionOrganizationalRepositório Científico do Instituto Politécnico de Castelo Brancoe-mailmailto:repositorio@ipcb.ptrepositorio@ipcb.ptISBNIsPartOf978-1- 63482-866-62015-11-16T13:46:49Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10400.11/3068http://purl.org/coar/access_right/c_abf2open accessUranium minesGroundwaterSequential Gaussian SimulationSpatial uncertaintyLocal G clusteringDRASTICRisk maps181997 bytesliteraturehttp://purl.org/coar/resource_type/c_3248book parthttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipcb.pt/bitstreams/e5371e28-0b16-40c4-833e-987042f85770/downloadUranium : sources, exposure and environmental effects145157New York |
| spellingShingle | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study Albuquerque, M.T.D. Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| status | SINGLETON |
| subject.fl_str_mv | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| title | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| title_full | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| title_fullStr | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| title_full_unstemmed | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| title_short | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| title_sort | Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study |
| topic | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| topic_facet | Uranium mines Groundwater Sequential Gaussian Simulation Spatial uncertainty Local G clustering DRASTIC Risk maps |
| url | http://hdl.handle.net/10400.11/3068 |
| visible | 1 |