Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods

Autores
Barranquero, Rosario Soledad; Varni, Marcelo Raúl; Pardo Almudí, Rafael; Vega, Marisol; Zabala, Maria Emilia; Ruiz de Galarreta, Victor Alejandro
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The objective of this work is to compare the chemical composition and the spatial and temporal variabilities of groundwater in two basins, the Langueyu´ and Del Azul creeks basins, located in the Pampean plain, Buenos Aires province (Argentina). The Pampean plain is the most productive region in Argentina, agriculture and livestock being the main economic activities. Groundwater is the principal water resource in the region, with a strong and growing demand for human supply and for agriculture and industrial activities. Several sampling campaigns were carried out on shallow wells of the two studied basins along a period of 3 years (2010–2013) to identify seasonal variations. Electrical conductivity, pH, bicarbonate, chloride, sulphate, nitrate, calcium, magnesium, sodium and potassium were determined following standard methods. For hydrochemical interpretation, descriptive statistical analyses, matrix augmentation principal component analysis, MA-PCA, and multidimensional principal component analysis, N-PCA (Parafac and Tucker3 models), were applied to the hydrochemical datasets from both basins. Three main hydrochemical processes have been identified in both basins: saline enrichment in the groundwater flow direction caused by dissolution of carbonates; exchange of calcium and magnesium by sodium in the same direction, and located areas of nitrate pollution. The paper shows that N-PCA is a good tool to deepen in the understanding of the hydrochemical features of groundwater from two neighbour basins, simplifying the analysis of large amounts of data, as well as establishing relations between the compared basins. Therefore the work is considered an interesting contribution to the study of groundwater resources with a regional scope. This knowledge is essential in basins with high socio-economic interests it causes a direct impact on resources management.
Fil: Barranquero, Rosario Soledad. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Varni, Marcelo Raúl. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Pardo Almudí, Rafael. Universidad de Valladolid; España
Fil: Vega, Marisol. Universidad de Valladolid; España
Fil: Zabala, Maria Emilia. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Ruiz de Galarreta, Victor Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Materia
GROUNDWATER
PAMPEAN PLAIN
N-WAY PRINCIPAL COMPONENT ANALYSIS
MULTIVARIATE STATISTICS
HYDROCHEMISTRY
SPATIAL AND TEMPORAL VARIABILITY
REGIONAL SCOPE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/155897
Acceder
id CONICETDig_87c477b846aaeb8bad5bbfd930f89bbb
oai_identifier_str oai:ri.conicet.gov.ar:11336/155897
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methodsBarranquero, Rosario SoledadVarni, Marcelo RaúlPardo Almudí, RafaelVega, MarisolZabala, Maria EmiliaRuiz de Galarreta, Victor AlejandroGROUNDWATERPAMPEAN PLAINN-WAY PRINCIPAL COMPONENT ANALYSISMULTIVARIATE STATISTICSHYDROCHEMISTRYSPATIAL AND TEMPORAL VARIABILITYREGIONAL SCOPEhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The objective of this work is to compare the chemical composition and the spatial and temporal variabilities of groundwater in two basins, the Langueyu´ and Del Azul creeks basins, located in the Pampean plain, Buenos Aires province (Argentina). The Pampean plain is the most productive region in Argentina, agriculture and livestock being the main economic activities. Groundwater is the principal water resource in the region, with a strong and growing demand for human supply and for agriculture and industrial activities. Several sampling campaigns were carried out on shallow wells of the two studied basins along a period of 3 years (2010–2013) to identify seasonal variations. Electrical conductivity, pH, bicarbonate, chloride, sulphate, nitrate, calcium, magnesium, sodium and potassium were determined following standard methods. For hydrochemical interpretation, descriptive statistical analyses, matrix augmentation principal component analysis, MA-PCA, and multidimensional principal component analysis, N-PCA (Parafac and Tucker3 models), were applied to the hydrochemical datasets from both basins. Three main hydrochemical processes have been identified in both basins: saline enrichment in the groundwater flow direction caused by dissolution of carbonates; exchange of calcium and magnesium by sodium in the same direction, and located areas of nitrate pollution. The paper shows that N-PCA is a good tool to deepen in the understanding of the hydrochemical features of groundwater from two neighbour basins, simplifying the analysis of large amounts of data, as well as establishing relations between the compared basins. Therefore the work is considered an interesting contribution to the study of groundwater resources with a regional scope. This knowledge is essential in basins with high socio-economic interests it causes a direct impact on resources management.Fil: Barranquero, Rosario Soledad. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaFil: Varni, Marcelo Raúl. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; ArgentinaFil: Pardo Almudí, Rafael. Universidad de Valladolid; EspañaFil: Vega, Marisol. Universidad de Valladolid; EspañaFil: Zabala, Maria Emilia. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; ArgentinaFil: Ruiz de Galarreta, Victor Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaSpringer2016-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/155897Barranquero, Rosario Soledad; Varni, Marcelo Raúl; Pardo Almudí, Rafael; Vega, Marisol; Zabala, Maria Emilia; et al.; Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods; Springer; Environmental Earth Sciences; 75; 4; 2-2016; 335-3481866-62801866-6299CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s12665-015-5142-8info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12665-015-5142-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:59Zoai:ri.conicet.gov.ar:11336/155897instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:59.283CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
title Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
spellingShingle Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
Barranquero, Rosario Soledad
GROUNDWATER
PAMPEAN PLAIN
N-WAY PRINCIPAL COMPONENT ANALYSIS
MULTIVARIATE STATISTICS
HYDROCHEMISTRY
SPATIAL AND TEMPORAL VARIABILITY
REGIONAL SCOPE
title_short Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
title_full Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
title_fullStr Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
title_full_unstemmed Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
title_sort Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods
dc.creator.none.fl_str_mv Barranquero, Rosario Soledad
Varni, Marcelo Raúl
Pardo Almudí, Rafael
Vega, Marisol
Zabala, Maria Emilia
Ruiz de Galarreta, Victor Alejandro
author Barranquero, Rosario Soledad
author_facet Barranquero, Rosario Soledad
Varni, Marcelo Raúl
Pardo Almudí, Rafael
Vega, Marisol
Zabala, Maria Emilia
Ruiz de Galarreta, Victor Alejandro
author_role author
author2 Varni, Marcelo Raúl
Pardo Almudí, Rafael
Vega, Marisol
Zabala, Maria Emilia
Ruiz de Galarreta, Victor Alejandro
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv GROUNDWATER
PAMPEAN PLAIN
N-WAY PRINCIPAL COMPONENT ANALYSIS
MULTIVARIATE STATISTICS
HYDROCHEMISTRY
SPATIAL AND TEMPORAL VARIABILITY
REGIONAL SCOPE
topic GROUNDWATER
PAMPEAN PLAIN
N-WAY PRINCIPAL COMPONENT ANALYSIS
MULTIVARIATE STATISTICS
HYDROCHEMISTRY
SPATIAL AND TEMPORAL VARIABILITY
REGIONAL SCOPE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The objective of this work is to compare the chemical composition and the spatial and temporal variabilities of groundwater in two basins, the Langueyu´ and Del Azul creeks basins, located in the Pampean plain, Buenos Aires province (Argentina). The Pampean plain is the most productive region in Argentina, agriculture and livestock being the main economic activities. Groundwater is the principal water resource in the region, with a strong and growing demand for human supply and for agriculture and industrial activities. Several sampling campaigns were carried out on shallow wells of the two studied basins along a period of 3 years (2010–2013) to identify seasonal variations. Electrical conductivity, pH, bicarbonate, chloride, sulphate, nitrate, calcium, magnesium, sodium and potassium were determined following standard methods. For hydrochemical interpretation, descriptive statistical analyses, matrix augmentation principal component analysis, MA-PCA, and multidimensional principal component analysis, N-PCA (Parafac and Tucker3 models), were applied to the hydrochemical datasets from both basins. Three main hydrochemical processes have been identified in both basins: saline enrichment in the groundwater flow direction caused by dissolution of carbonates; exchange of calcium and magnesium by sodium in the same direction, and located areas of nitrate pollution. The paper shows that N-PCA is a good tool to deepen in the understanding of the hydrochemical features of groundwater from two neighbour basins, simplifying the analysis of large amounts of data, as well as establishing relations between the compared basins. Therefore the work is considered an interesting contribution to the study of groundwater resources with a regional scope. This knowledge is essential in basins with high socio-economic interests it causes a direct impact on resources management.
Fil: Barranquero, Rosario Soledad. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Varni, Marcelo Raúl. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Pardo Almudí, Rafael. Universidad de Valladolid; España
Fil: Vega, Marisol. Universidad de Valladolid; España
Fil: Zabala, Maria Emilia. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff". - Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Hidrología de Llanuras "Dr. Eduardo Jorge Usunoff"; Argentina
Fil: Ruiz de Galarreta, Victor Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Humanas. Departamento de Ciencias Ambientales. Centro de Investigación y Estudios Ambientales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
description The objective of this work is to compare the chemical composition and the spatial and temporal variabilities of groundwater in two basins, the Langueyu´ and Del Azul creeks basins, located in the Pampean plain, Buenos Aires province (Argentina). The Pampean plain is the most productive region in Argentina, agriculture and livestock being the main economic activities. Groundwater is the principal water resource in the region, with a strong and growing demand for human supply and for agriculture and industrial activities. Several sampling campaigns were carried out on shallow wells of the two studied basins along a period of 3 years (2010–2013) to identify seasonal variations. Electrical conductivity, pH, bicarbonate, chloride, sulphate, nitrate, calcium, magnesium, sodium and potassium were determined following standard methods. For hydrochemical interpretation, descriptive statistical analyses, matrix augmentation principal component analysis, MA-PCA, and multidimensional principal component analysis, N-PCA (Parafac and Tucker3 models), were applied to the hydrochemical datasets from both basins. Three main hydrochemical processes have been identified in both basins: saline enrichment in the groundwater flow direction caused by dissolution of carbonates; exchange of calcium and magnesium by sodium in the same direction, and located areas of nitrate pollution. The paper shows that N-PCA is a good tool to deepen in the understanding of the hydrochemical features of groundwater from two neighbour basins, simplifying the analysis of large amounts of data, as well as establishing relations between the compared basins. Therefore the work is considered an interesting contribution to the study of groundwater resources with a regional scope. This knowledge is essential in basins with high socio-economic interests it causes a direct impact on resources management.
publishDate 2016
dc.date.none.fl_str_mv 2016-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/155897
Barranquero, Rosario Soledad; Varni, Marcelo Raúl; Pardo Almudí, Rafael; Vega, Marisol; Zabala, Maria Emilia; et al.; Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods; Springer; Environmental Earth Sciences; 75; 4; 2-2016; 335-348
1866-6280
1866-6299
CONICET Digital
CONICET
url http://hdl.handle.net/11336/155897
identifier_str_mv Barranquero, Rosario Soledad; Varni, Marcelo Raúl; Pardo Almudí, Rafael; Vega, Marisol; Zabala, Maria Emilia; et al.; Joint interpretation of the hydrochemistry of two neighbouring basins by N-way multivariate methods; Springer; Environmental Earth Sciences; 75; 4; 2-2016; 335-348
1866-6280
1866-6299
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s12665-015-5142-8
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12665-015-5142-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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