Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study

Detalhes bibliográficos
Autor(a) principal: Albuquerque, M.T.D.
Data de Publicação: 2015
Outros Autores: Antunes, I.M.H.R.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.11/3068
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.
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spelling Uranium spatio-temporal variability in groundwater : an environmental risk assessment case studyUranium minesGroundwaterSequential Gaussian SimulationSpatial uncertaintyLocal G clusteringDRASTICRisk mapsUranium 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.NOVARepositório Científico do Instituto Politécnico de Castelo BrancoAlbuquerque, M.T.D.Antunes, I.M.H.R.2015-11-16T13:46:49Z20152015-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.11/3068eng978-1- 63482-866-6info: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:RCAAP2025-02-26T14:15:02Zoai:repositorio.ipcb.pt:10400.11/3068Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:29:55.581830Repositórios 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 Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study
title Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study
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
title_short 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_sort Uranium spatio-temporal variability in groundwater : an environmental risk assessment case study
author Albuquerque, M.T.D.
author_facet Albuquerque, M.T.D.
Antunes, I.M.H.R.
author_role author
author2 Antunes, I.M.H.R.
author2_role 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.
dc.subject.por.fl_str_mv Uranium mines
Groundwater
Sequential Gaussian Simulation
Spatial uncertainty
Local G clustering
DRASTIC
Risk maps
topic Uranium mines
Groundwater
Sequential Gaussian Simulation
Spatial uncertainty
Local G clustering
DRASTIC
Risk maps
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.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-16T13:46:49Z
2015
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