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dc.creatorGarcia Reiriz, Alejandro Gabriel-
dc.date2016-06-02T18:40:13Z-
dc.date2016-06-02T18:40:13Z-
dc.date2014-06-
dc.date2016-06-01T13:36:08Z-
dc.date.accessioned2019-04-29T15:53:01Z-
dc.date.available2019-04-29T15:53:01Z-
dc.date.issued2014-06-
dc.identifierGarcia Reiriz, Alejandro Gabriel; Parallel factor analysis and multivariate curve resolution as data fusion tools to supervise a stream; Elsevier; Chemometrics and Intelligent Laboratory Systems; 137; 6-2014; 120-127-
dc.identifier0169-7439-
dc.identifierhttp://hdl.handle.net/11336/6014-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/304556-
dc.descriptionIn this work, a new method is proposed to monitor the distribution, evolution and correlation of dissolved organic matter on the superficial water of a stream with respect to physicochemical variables that characterize the basin and season sampling of each campaign. The method is based on measuring fluorescence emission-excitation matrices and some physicochemical parameters of water samples through both time and space. In a first phase, parallel factor analysis (PARAFAC) or multivariate curve resolution with alternating least-squares (MCR-ALS) were applied to extract the information on the relative proportions of each fluorophore on each sample. Then, MCR-ALS was applied again to the entire database, in order to study the spatial and time distribution. This methodology was used to study the behavior of a basin stream that is significantly modified by anthropic activities.-
dc.descriptionFil: Garcia Reiriz, Alejandro Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Química Rosario; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169743914001464-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2014.06.016-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.chemolab.2014.06.016-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectCHEMOMETRICS-
dc.subjectMULTIVARIATE CURVE RESOLUTION-
dc.subjectPARALLEL FACTOR ANALYSIS-
dc.subjectENVIRONMENTAL MONITORING-
dc.subjectQuímica Analítica-
dc.subjectCiencias Químicas-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleParallel factor analysis and multivariate curve resolution as data fusion tools to supervise a stream-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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