An approach to validate groundwater contamination risk in rural mountainous catchments: the role of lateral groundwater flows

Detalhes bibliográficos
Autor(a) principal: Pacheco, Fernando António Leal
Data de Publicação: 2018
Outros Autores: Martins, L. M. O., Quininha, M., Oliveira, Alcino De Sousa, Fernandes, Luis Filipe Sanches
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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spelling 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
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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
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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
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