Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin

Autores
Garcia Reiriz, Alejandro Gabriel; Olivieri, Alejandro Cesar; Teixidó, Elisabeth; Ginebreda, Antoni; Tauler, Romà
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Chemometric methods are applied to the analysis and interpretation of large multivariate data sets obtained in environmental monitoring studies. Concentrations of multiple organic compounds were measured in river samples taken from several sampling sites, at various geographical locations, during a number of campaigns and/or sampling time periods. Samples were collected and analyzed as part of an extensive multi-annual monitoring program from a mediterranean river basin (in Catalonia, at the northeast of Spain) by the Water Quality Regional Agency. Due to the great amount of multivariate data stored in environmental databases and to their complexity, chemometric modeling methods like Principal Components Analysis (PCA) and Multivariate Curve Resolution with Alternating Least-Squares (MCR-ALS) coupled to appropriate mapping representations are proposed for the evaluation of the environmental quality of the studied rivers. Results achieved in this study are intended to be a contribution to water quality assessment and evaluation of contamination of surface waters in river basin, and to support public policies of environmental control and management of the regions under study.
Fil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Teixidó, Elisabeth. Agència Catalana de l’Aigua; España
Fil: Ginebreda, Antoni. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; España
Fil: Tauler, Romà. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; España
Materia
Chemometrics
Multivariate Curve Resolution Alternatingleast Squares
Principal Components Analysis
Environmental Monitoring
Surface Water
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:11336/6055

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network_name_str CONICET Digital (CONICET)
spelling Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basinGarcia Reiriz, Alejandro GabrielOlivieri, Alejandro CesarTeixidó, ElisabethGinebreda, AntoniTauler, RomàChemometricsMultivariate Curve Resolution Alternatingleast SquaresPrincipal Components AnalysisEnvironmental MonitoringSurface Waterhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Chemometric methods are applied to the analysis and interpretation of large multivariate data sets obtained in environmental monitoring studies. Concentrations of multiple organic compounds were measured in river samples taken from several sampling sites, at various geographical locations, during a number of campaigns and/or sampling time periods. Samples were collected and analyzed as part of an extensive multi-annual monitoring program from a mediterranean river basin (in Catalonia, at the northeast of Spain) by the Water Quality Regional Agency. Due to the great amount of multivariate data stored in environmental databases and to their complexity, chemometric modeling methods like Principal Components Analysis (PCA) and Multivariate Curve Resolution with Alternating Least-Squares (MCR-ALS) coupled to appropriate mapping representations are proposed for the evaluation of the environmental quality of the studied rivers. Results achieved in this study are intended to be a contribution to water quality assessment and evaluation of contamination of surface waters in river basin, and to support public policies of environmental control and management of the regions under study.Fil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; ArgentinaFil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; ArgentinaFil: Teixidó, Elisabeth. Agència Catalana de l’Aigua; EspañaFil: Ginebreda, Antoni. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; EspañaFil: Tauler, Romà. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; EspañaRoyal Society of Chemistry2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6055Garcia Reiriz, Alejandro Gabriel; Olivieri, Alejandro Cesar; Teixidó, Elisabeth; Ginebreda, Antoni; Tauler, Romà; Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin; Royal Society of Chemistry; Environmental Science: Processes & Impacts; 16; 1; 2-2014; 124-1342050-7887enginfo:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/Content/ArticleLanding/2014/EM/C3EM00456Binfo:eu-repo/semantics/altIdentifier/doi/10.1039/C3EM00456Binfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:24Zoai:ri.conicet.gov.ar:11336/6055instacron: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 09:41:24.875CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
title Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
spellingShingle Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
Garcia Reiriz, Alejandro Gabriel
Chemometrics
Multivariate Curve Resolution Alternatingleast Squares
Principal Components Analysis
Environmental Monitoring
Surface Water
title_short Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
title_full Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
title_fullStr Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
title_full_unstemmed Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
title_sort Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin
dc.creator.none.fl_str_mv Garcia Reiriz, Alejandro Gabriel
Olivieri, Alejandro Cesar
Teixidó, Elisabeth
Ginebreda, Antoni
Tauler, Romà
author Garcia Reiriz, Alejandro Gabriel
author_facet Garcia Reiriz, Alejandro Gabriel
Olivieri, Alejandro Cesar
Teixidó, Elisabeth
Ginebreda, Antoni
Tauler, Romà
author_role author
author2 Olivieri, Alejandro Cesar
Teixidó, Elisabeth
Ginebreda, Antoni
Tauler, Romà
author2_role author
author
author
author
dc.subject.none.fl_str_mv Chemometrics
Multivariate Curve Resolution Alternatingleast Squares
Principal Components Analysis
Environmental Monitoring
Surface Water
topic Chemometrics
Multivariate Curve Resolution Alternatingleast Squares
Principal Components Analysis
Environmental Monitoring
Surface Water
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Chemometric methods are applied to the analysis and interpretation of large multivariate data sets obtained in environmental monitoring studies. Concentrations of multiple organic compounds were measured in river samples taken from several sampling sites, at various geographical locations, during a number of campaigns and/or sampling time periods. Samples were collected and analyzed as part of an extensive multi-annual monitoring program from a mediterranean river basin (in Catalonia, at the northeast of Spain) by the Water Quality Regional Agency. Due to the great amount of multivariate data stored in environmental databases and to their complexity, chemometric modeling methods like Principal Components Analysis (PCA) and Multivariate Curve Resolution with Alternating Least-Squares (MCR-ALS) coupled to appropriate mapping representations are proposed for the evaluation of the environmental quality of the studied rivers. Results achieved in this study are intended to be a contribution to water quality assessment and evaluation of contamination of surface waters in river basin, and to support public policies of environmental control and management of the regions under study.
Fil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina
Fil: Teixidó, Elisabeth. Agència Catalana de l’Aigua; España
Fil: Ginebreda, Antoni. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; España
Fil: Tauler, Romà. Consejo Superior de Investigaciones Científicas. Instituto de Diagnóstico Ambiental y Estudios del Agua; España
description Chemometric methods are applied to the analysis and interpretation of large multivariate data sets obtained in environmental monitoring studies. Concentrations of multiple organic compounds were measured in river samples taken from several sampling sites, at various geographical locations, during a number of campaigns and/or sampling time periods. Samples were collected and analyzed as part of an extensive multi-annual monitoring program from a mediterranean river basin (in Catalonia, at the northeast of Spain) by the Water Quality Regional Agency. Due to the great amount of multivariate data stored in environmental databases and to their complexity, chemometric modeling methods like Principal Components Analysis (PCA) and Multivariate Curve Resolution with Alternating Least-Squares (MCR-ALS) coupled to appropriate mapping representations are proposed for the evaluation of the environmental quality of the studied rivers. Results achieved in this study are intended to be a contribution to water quality assessment and evaluation of contamination of surface waters in river basin, and to support public policies of environmental control and management of the regions under study.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
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/11336/6055
Garcia Reiriz, Alejandro Gabriel; Olivieri, Alejandro Cesar; Teixidó, Elisabeth; Ginebreda, Antoni; Tauler, Romà; Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin; Royal Society of Chemistry; Environmental Science: Processes & Impacts; 16; 1; 2-2014; 124-134
2050-7887
url http://hdl.handle.net/11336/6055
identifier_str_mv Garcia Reiriz, Alejandro Gabriel; Olivieri, Alejandro Cesar; Teixidó, Elisabeth; Ginebreda, Antoni; Tauler, Romà; Chemometric modeling of organic contaminant sources in surface waters of a mediterranean river basin; Royal Society of Chemistry; Environmental Science: Processes & Impacts; 16; 1; 2-2014; 124-134
2050-7887
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/Content/ArticleLanding/2014/EM/C3EM00456B
info:eu-repo/semantics/altIdentifier/doi/10.1039/C3EM00456B
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
dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
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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