Aquifer vulnerability mapping and associated spatial uncertainty
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/1822/49258 |
Resumo: | Quantitative estimation of water resources is indispensable when it comes to getting the sustainability of aquifers through planning. This becomes an essential aspect in areas whose primary economic activity is agriculture, in which ensure the availability of water means ensuring the sustainability of the societal and economic systems. This is the example of the Cuellar Moor karstic aquifer, located in the international Duero watershed, in which more than 80% of its surface is aimed to agricultural use. The main goal of this research is the introduction of a new vulnerability index, which gathers together the hydrogeological covariates and the spatial uncertainty associated with the estimation of groundwater level and nitrate concentration. An optimized monitoring network to piezometric level and nitrate concentration control is required, as well as, to determine the vulnerability associated with pumping wells. |
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Aquifer vulnerability mapping and associated spatial uncertaintyKarstic AquiferVulnerability IndexCuellar MoorSpatial uncertaintyMonitoring networkCiências Naturais::Ciências da Terra e do AmbienteScience & TechnologyQuantitative estimation of water resources is indispensable when it comes to getting the sustainability of aquifers through planning. This becomes an essential aspect in areas whose primary economic activity is agriculture, in which ensure the availability of water means ensuring the sustainability of the societal and economic systems. This is the example of the Cuellar Moor karstic aquifer, located in the international Duero watershed, in which more than 80% of its surface is aimed to agricultural use. The main goal of this research is the introduction of a new vulnerability index, which gathers together the hydrogeological covariates and the spatial uncertainty associated with the estimation of groundwater level and nitrate concentration. An optimized monitoring network to piezometric level and nitrate concentration control is required, as well as, to determine the vulnerability associated with pumping wells.info:eu-repo/semantics/publishedVersionUniversity of Agricultural Sciences & Veterinary Medicine BucharestUniversidade do MinhoAlonso, LeticiaAlbuquerque, M. T. D.Martínez-Alegría, TobertoAntunes, I. M. H. R.Taboada, Javier20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/49258eng2285-5718info: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:RCAAP2023-07-21T12:51:54Zoai:repositorium.sdum.uminho.pt:1822/49258Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:50:55.321242Repositório 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 |
Aquifer vulnerability mapping and associated spatial uncertainty |
title |
Aquifer vulnerability mapping and associated spatial uncertainty |
spellingShingle |
Aquifer vulnerability mapping and associated spatial uncertainty Alonso, Leticia Karstic Aquifer Vulnerability Index Cuellar Moor Spatial uncertainty Monitoring network Ciências Naturais::Ciências da Terra e do Ambiente Science & Technology |
title_short |
Aquifer vulnerability mapping and associated spatial uncertainty |
title_full |
Aquifer vulnerability mapping and associated spatial uncertainty |
title_fullStr |
Aquifer vulnerability mapping and associated spatial uncertainty |
title_full_unstemmed |
Aquifer vulnerability mapping and associated spatial uncertainty |
title_sort |
Aquifer vulnerability mapping and associated spatial uncertainty |
author |
Alonso, Leticia |
author_facet |
Alonso, Leticia Albuquerque, M. T. D. Martínez-Alegría, Toberto Antunes, I. M. H. R. Taboada, Javier |
author_role |
author |
author2 |
Albuquerque, M. T. D. Martínez-Alegría, Toberto Antunes, I. M. H. R. Taboada, Javier |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Alonso, Leticia Albuquerque, M. T. D. Martínez-Alegría, Toberto Antunes, I. M. H. R. Taboada, Javier |
dc.subject.por.fl_str_mv |
Karstic Aquifer Vulnerability Index Cuellar Moor Spatial uncertainty Monitoring network Ciências Naturais::Ciências da Terra e do Ambiente Science & Technology |
topic |
Karstic Aquifer Vulnerability Index Cuellar Moor Spatial uncertainty Monitoring network Ciências Naturais::Ciências da Terra e do Ambiente Science & Technology |
description |
Quantitative estimation of water resources is indispensable when it comes to getting the sustainability of aquifers through planning. This becomes an essential aspect in areas whose primary economic activity is agriculture, in which ensure the availability of water means ensuring the sustainability of the societal and economic systems. This is the example of the Cuellar Moor karstic aquifer, located in the international Duero watershed, in which more than 80% of its surface is aimed to agricultural use. The main goal of this research is the introduction of a new vulnerability index, which gathers together the hydrogeological covariates and the spatial uncertainty associated with the estimation of groundwater level and nitrate concentration. An optimized monitoring network to piezometric level and nitrate concentration control is required, as well as, to determine the vulnerability associated with pumping wells. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2017-01-01T00:00:00Z |
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/1822/49258 |
url |
http://hdl.handle.net/1822/49258 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2285-5718 |
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.publisher.none.fl_str_mv |
University of Agricultural Sciences & Veterinary Medicine Bucharest |
publisher.none.fl_str_mv |
University of Agricultural Sciences & Veterinary Medicine Bucharest |
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 |
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1799133095241187328 |