An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/107415 https://doi.org/10.3390/w11051107 |
Resumo: | There is currently some controversy in the scientific community regarding the e ciency of the water–rock interaction process in the contamination of radon in groundwater. In this study, some di culties were found in the sampling phase. Many of the water collection points are used for human consumption. As such, some municipalities did not want to collaborate. When this natural contaminant is undetectable to the human sense and may cause pulmonary neoplasms in the long term, it is di cult to obtain collaboration from the municipalities concerned. To overcome this controversy, it is important to understand that geogenic, climatic, hydrological, and topographic features may contribute to the e ective transfer of radon from rocks to groundwater. In brief, this new approach combines the radon transfer from the geological substrate to the groundwater circulation through hierarchic agglomerative clustering (HAC) and partial least squares-path modeling (PLS-PM) methods. The results show that some lithologies with higher radon production may not always contribute to noticeable groundwater contamination. In this group, the high-fracturing density confirms the recharge e ciency, and the physical-chemical properties of the hydraulic environment (electric conductivity) plays the main role of radon unavailability in the water intended for human consumption. Besides, the hydraulic turnover time of the springs can be considered an excellent radiological indicator in groundwater. In the absence of an anomalous radioactive source near the surface, it means that the high-turnover time of the springs leads to a low-radon concentration in the water. Besides linking high-risk areas with a short period required to free local flow discharges, this study exposes the virtues of a new perspective of a groundwater contamination risk modeling. |
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An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Modelsgroundwaterrocksradon production potentialgranitoidsmetasedimentsThere is currently some controversy in the scientific community regarding the e ciency of the water–rock interaction process in the contamination of radon in groundwater. In this study, some di culties were found in the sampling phase. Many of the water collection points are used for human consumption. As such, some municipalities did not want to collaborate. When this natural contaminant is undetectable to the human sense and may cause pulmonary neoplasms in the long term, it is di cult to obtain collaboration from the municipalities concerned. To overcome this controversy, it is important to understand that geogenic, climatic, hydrological, and topographic features may contribute to the e ective transfer of radon from rocks to groundwater. In brief, this new approach combines the radon transfer from the geological substrate to the groundwater circulation through hierarchic agglomerative clustering (HAC) and partial least squares-path modeling (PLS-PM) methods. The results show that some lithologies with higher radon production may not always contribute to noticeable groundwater contamination. In this group, the high-fracturing density confirms the recharge e ciency, and the physical-chemical properties of the hydraulic environment (electric conductivity) plays the main role of radon unavailability in the water intended for human consumption. Besides, the hydraulic turnover time of the springs can be considered an excellent radiological indicator in groundwater. In the absence of an anomalous radioactive source near the surface, it means that the high-turnover time of the springs leads to a low-radon concentration in the water. Besides linking high-risk areas with a short period required to free local flow discharges, this study exposes the virtues of a new perspective of a groundwater contamination risk modeling.MDPI2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/107415http://hdl.handle.net/10316/107415https://doi.org/10.3390/w11051107eng2073-4441Martins, LisaPereira, AlcidesOliveira, AlcinoFernandes, AntónioSanches Fernandes, Luís FilipePacheco, Fernando António Lealinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T09:36:20Zoai:estudogeral.uc.pt:10316/107415Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:23:46.380179Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
title |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
spellingShingle |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models Martins, Lisa groundwater rocks radon production potential granitoids metasediments |
title_short |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
title_full |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
title_fullStr |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
title_full_unstemmed |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
title_sort |
An Assessment of Groundwater Contamination Risk with Radon Based on Clustering and Structural Models |
author |
Martins, Lisa |
author_facet |
Martins, Lisa Pereira, Alcides Oliveira, Alcino Fernandes, António Sanches Fernandes, Luís Filipe Pacheco, Fernando António Leal |
author_role |
author |
author2 |
Pereira, Alcides Oliveira, Alcino Fernandes, António Sanches Fernandes, Luís Filipe Pacheco, Fernando António Leal |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Martins, Lisa Pereira, Alcides Oliveira, Alcino Fernandes, António Sanches Fernandes, Luís Filipe Pacheco, Fernando António Leal |
dc.subject.por.fl_str_mv |
groundwater rocks radon production potential granitoids metasediments |
topic |
groundwater rocks radon production potential granitoids metasediments |
description |
There is currently some controversy in the scientific community regarding the e ciency of the water–rock interaction process in the contamination of radon in groundwater. In this study, some di culties were found in the sampling phase. Many of the water collection points are used for human consumption. As such, some municipalities did not want to collaborate. When this natural contaminant is undetectable to the human sense and may cause pulmonary neoplasms in the long term, it is di cult to obtain collaboration from the municipalities concerned. To overcome this controversy, it is important to understand that geogenic, climatic, hydrological, and topographic features may contribute to the e ective transfer of radon from rocks to groundwater. In brief, this new approach combines the radon transfer from the geological substrate to the groundwater circulation through hierarchic agglomerative clustering (HAC) and partial least squares-path modeling (PLS-PM) methods. The results show that some lithologies with higher radon production may not always contribute to noticeable groundwater contamination. In this group, the high-fracturing density confirms the recharge e ciency, and the physical-chemical properties of the hydraulic environment (electric conductivity) plays the main role of radon unavailability in the water intended for human consumption. Besides, the hydraulic turnover time of the springs can be considered an excellent radiological indicator in groundwater. In the absence of an anomalous radioactive source near the surface, it means that the high-turnover time of the springs leads to a low-radon concentration in the water. Besides linking high-risk areas with a short period required to free local flow discharges, this study exposes the virtues of a new perspective of a groundwater contamination risk modeling. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/107415 http://hdl.handle.net/10316/107415 https://doi.org/10.3390/w11051107 |
url |
http://hdl.handle.net/10316/107415 https://doi.org/10.3390/w11051107 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2073-4441 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134123882708992 |