An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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/10348/8940 |
Resumo: | Computer models dedicated to the validation of groundwater contamination risk in the rural environment, namely the risk of contamination by nitrate leachates from agriculture fertilizers, are frequently based on direct comparison of riskyareas (e.g., cropland,pastures usedforlivestockproduction) and spatialdistributionsofcontaminant (nitrate) plumes. These methods are fated to fail where lateral flows dominate in the landscape (mountainous catchments) displacing the nitrate plumes downhill and from the risky spots. In these cases, there is no connection between the spatial location of risky areas and nitrate plumes, unless the two locations can be linked by a contaminant transport model. The main purpose of this paper is therefore to introduce a method whereby spatio-temporal links can be demonstrated between risky areas (contaminant sources), actual nitrate plumes (contaminant sinks) and modeled nitrate distributions at specific groundwater travel times, thereby validating the risk assessment. The method assembles a couple ofwell knownalgorithms,namely theDRASTICmodel [1,2] andthe ProcessingModflowsoftware (https://www.simcore.com), but their combination as risk validation method is original and proved efficient in its initial application, the companion paper of Pacheco et al. [3] |
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An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flowsgroundwater contamination riskrural mountainous catchmentcontaminant transporttravel timeComputer models dedicated to the validation of groundwater contamination risk in the rural environment, namely the risk of contamination by nitrate leachates from agriculture fertilizers, are frequently based on direct comparison of riskyareas (e.g., cropland,pastures usedforlivestockproduction) and spatialdistributionsofcontaminant (nitrate) plumes. These methods are fated to fail where lateral flows dominate in the landscape (mountainous catchments) displacing the nitrate plumes downhill and from the risky spots. In these cases, there is no connection between the spatial location of risky areas and nitrate plumes, unless the two locations can be linked by a contaminant transport model. The main purpose of this paper is therefore to introduce a method whereby spatio-temporal links can be demonstrated between risky areas (contaminant sources), actual nitrate plumes (contaminant sinks) and modeled nitrate distributions at specific groundwater travel times, thereby validating the risk assessment. The method assembles a couple ofwell knownalgorithms,namely theDRASTICmodel [1,2] andthe ProcessingModflowsoftware (https://www.simcore.com), but their combination as risk validation method is original and proved efficient in its initial application, the companion paper of Pacheco et al. [3]2018-12-11T11:32:52Z2018-11-07T00:00:00Z2018-11-072018-12-11T00:55:43Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10348/8940eng22150161Pacheco, Fernando António LealMartins, L. M. O.Quininha, M.Oliveira, Alcino De SousaFernandes, Luis Filipe Sanchesinfo: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:RCAAP2024-02-02T12:53:56Zoai:repositorio.utad.pt:10348/8940Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:05:45.539954Repositório 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 approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
title |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
spellingShingle |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows Pacheco, Fernando António Leal groundwater contamination risk rural mountainous catchment contaminant transport travel time |
title_short |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
title_full |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
title_fullStr |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
title_full_unstemmed |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
title_sort |
An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows |
author |
Pacheco, Fernando António Leal |
author_facet |
Pacheco, Fernando António Leal Martins, L. M. O. Quininha, M. Oliveira, Alcino De Sousa Fernandes, Luis Filipe Sanches |
author_role |
author |
author2 |
Martins, L. M. O. Quininha, M. Oliveira, Alcino De Sousa Fernandes, Luis Filipe Sanches |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Pacheco, Fernando António Leal Martins, L. M. O. Quininha, M. Oliveira, Alcino De Sousa Fernandes, Luis Filipe Sanches |
dc.subject.por.fl_str_mv |
groundwater contamination risk rural mountainous catchment contaminant transport travel time |
topic |
groundwater contamination risk rural mountainous catchment contaminant transport travel time |
description |
Computer models dedicated to the validation of groundwater contamination risk in the rural environment, namely the risk of contamination by nitrate leachates from agriculture fertilizers, are frequently based on direct comparison of riskyareas (e.g., cropland,pastures usedforlivestockproduction) and spatialdistributionsofcontaminant (nitrate) plumes. These methods are fated to fail where lateral flows dominate in the landscape (mountainous catchments) displacing the nitrate plumes downhill and from the risky spots. In these cases, there is no connection between the spatial location of risky areas and nitrate plumes, unless the two locations can be linked by a contaminant transport model. The main purpose of this paper is therefore to introduce a method whereby spatio-temporal links can be demonstrated between risky areas (contaminant sources), actual nitrate plumes (contaminant sinks) and modeled nitrate distributions at specific groundwater travel times, thereby validating the risk assessment. The method assembles a couple ofwell knownalgorithms,namely theDRASTICmodel [1,2] andthe ProcessingModflowsoftware (https://www.simcore.com), but their combination as risk validation method is original and proved efficient in its initial application, the companion paper of Pacheco et al. [3] |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-11T11:32:52Z 2018-11-07T00:00:00Z 2018-11-07 2018-12-11T00:55:43Z |
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/10348/8940 |
url |
http://hdl.handle.net/10348/8940 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
22150161 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799137144996888576 |