Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas

In the basin of the Azul Creek (centre of Buenos Aires Province) different uses are made (agricultural, recreational, the reception of urban effluents). Although there is a physicochemical characterization of its surface, it is necessary to do further studies in order to know the variables that dete...

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Detalles Bibliográficos
Autores: Rodríguez, Lorena, Peluso, Fabio O., González Castelain, José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:Argentina
Institución:Universidad Nacional de La Plata
Repositorio:SEDICI (UNLP)
Idioma:español
OAI Identifier:oai:sedici.unlp.edu.ar:10915/68793
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/68793
Access Level:acceso abierto
Palabra clave:Ciencias Naturales
Arroyo de Azul (Buenos Aires, Argentina)
Calidad del Agua
cluster
componentes principales
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spelling Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadasRodríguez, LorenaPeluso, Fabio O.González Castelain, JoséCiencias NaturalesArroyo de Azul (Buenos Aires, Argentina)Calidad del Aguaclustercomponentes principalesIn the basin of the Azul Creek (centre of Buenos Aires Province) different uses are made (agricultural, recreational, the reception of urban effluents). Although there is a physicochemical characterization of its surface, it is necessary to do further studies in order to know the variables that determine the water quality of the resource to be managed more efficiently. This following aims at sectoring the basin according to its water quality and to identify significant parameters to describe the variations. Therefore, multivariate techniques were applied: Cluster (CA) and principal components (PCA) on standardized data. These techniques come from twelve seasonal campaigns where 27 variables were measured at 14 stations located in different sectors of the basin (n = 168). The results from CA show the formation of two groups: one consisting of samples of the upper and middle basin, and the other of some samples of the middle and lower basin. Due to the PCA, 3 factors were obtained that explain 53 % of the total variance, reducing the list of parameters to 13, weighing more than 0.70. To conclude, the results obtained by both techniques are consistent since areas with different water quality were identified and those affected by urban effluents were discriminated allowing the identification of parameters which explain this variability. The physicochemical sectoring of surface water which was obtained is not strictly coincident with that determined by the geomorphology and groundwater hydrochemistry.Instituto de Limnología "Raúl A. Ringuelet"2009info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf197-207http://sedici.unlp.edu.ar/handle/10915/68793spainfo:eu-repo/semantics/altIdentifier/issn/0326-1638info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2024-05-08T12:49:16Zoai:sedici.unlp.edu.ar:10915/68793Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292024-05-08 12:49:16.295SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
title Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
spellingShingle Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
Rodríguez, Lorena
Ciencias Naturales
Arroyo de Azul (Buenos Aires, Argentina)
Calidad del Agua
cluster
componentes principales
title_short Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
title_full Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
title_fullStr Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
title_full_unstemmed Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
title_sort Sectorización de la calidad del agua del Arroyo del Azul, provincia de Buenos Aires, mediante la aplicación de técnicas estadísticas multivariadas
dc.creator.none.fl_str_mv Rodríguez, Lorena
Peluso, Fabio O.
González Castelain, José
author Rodríguez, Lorena
author_facet Rodríguez, Lorena
Peluso, Fabio O.
González Castelain, José
author_role author
author2 Peluso, Fabio O.
González Castelain, José
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Naturales
Arroyo de Azul (Buenos Aires, Argentina)
Calidad del Agua
cluster
componentes principales
topic Ciencias Naturales
Arroyo de Azul (Buenos Aires, Argentina)
Calidad del Agua
cluster
componentes principales
description In the basin of the Azul Creek (centre of Buenos Aires Province) different uses are made (agricultural, recreational, the reception of urban effluents). Although there is a physicochemical characterization of its surface, it is necessary to do further studies in order to know the variables that determine the water quality of the resource to be managed more efficiently. This following aims at sectoring the basin according to its water quality and to identify significant parameters to describe the variations. Therefore, multivariate techniques were applied: Cluster (CA) and principal components (PCA) on standardized data. These techniques come from twelve seasonal campaigns where 27 variables were measured at 14 stations located in different sectors of the basin (n = 168). The results from CA show the formation of two groups: one consisting of samples of the upper and middle basin, and the other of some samples of the middle and lower basin. Due to the PCA, 3 factors were obtained that explain 53 % of the total variance, reducing the list of parameters to 13, weighing more than 0.70. To conclude, the results obtained by both techniques are consistent since areas with different water quality were identified and those affected by urban effluents were discriminated allowing the identification of parameters which explain this variability. The physicochemical sectoring of surface water which was obtained is not strictly coincident with that determined by the geomorphology and groundwater hydrochemistry.
publishDate 2009
dc.date.none.fl_str_mv 2009
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url http://sedici.unlp.edu.ar/handle/10915/68793
dc.language.none.fl_str_mv spa
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/0326-1638
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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