1. RODNA
  2. CONICET
  3. CONICET
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.creatorBonansea, Matias-
dc.creatorLedesma, Claudia-
dc.creatorRodriguez, Claudia-
dc.creatorPinotti, Lucio Pedro-
dc.date2019-02-05T14:57:17Z-
dc.date2019-02-05T14:57:17Z-
dc.date2015-06-
dc.date2019-02-04T13:11:48Z-
dc.date.accessioned2019-04-29T15:26:12Z-
dc.date.available2019-04-29T15:26:12Z-
dc.date.issued2015-06-
dc.identifierBonansea, Matias; Ledesma, Claudia; Rodriguez, Claudia; Pinotti, Lucio Pedro; Water quality assessment using multivariate statistical techniques in Río Tercero Reservoir, Argentina; Nordic Association for Hydrology; Hydrology Research; 46; 3; 6-2015; 377-388-
dc.identifier2224-7955-
dc.identifierhttp://hdl.handle.net/11336/69398-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/294154-
dc.descriptionWater quality monitoring programs generate complex multidimensional data sets. In this study, multivariate statistical techniques were employed as an effective tool for the analysis and interpretation of these water quality data sets. Principal component analysis (PCA) and cluster analysis (CA) were applied to evaluate spatial and temporal variation of water quality in Río Tercero Reservoir (Argentina). Six sampling sites were surveyed each climatic season for 21 parameters during 2003-2010. The results revealed that PCA showed the existence of four significant principal components (PCs) which account for 96.7% of the total variance of the data set. The first PC was assigned to mineralization whereas the other PCs were built from variables indicative of pollution. Hierarchical CA grouped the six monitoring sites into three clusters and classified the different climatic seasons into two clusters based on similarities in water quality characteristics.-
dc.descriptionFil: Bonansea, Matias. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina-
dc.descriptionFil: Ledesma, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina-
dc.descriptionFil: Rodriguez, Claudia. Universidad Nacional de Río Cuarto. Facultad de Agronomía y Veterinaria; Argentina-
dc.descriptionFil: Pinotti, Lucio Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ciencias Exactas, Fisicoquímicas y Naturales. Departamento de Geología; Argentina-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherNordic Association for Hydrology-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.2166/nh.2014.174-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://iwaponline.com/hr/article-abstract/46/3/377/1000/Water-quality-assessment-using-multivariate?redirectedFrom=fulltext-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectCLUSTER ANALYSIS-
dc.subjectMONITORING-
dc.subjectMULTIVARIATE STATISTICAL TECHNIQUES-
dc.subjectPRINCIPAL COMPONENTS-
dc.subjectSURFACE WATER-
dc.subjectWATER QUALITY-
dc.subjectMeteorología y Ciencias Atmosféricas-
dc.subjectCiencias de la Tierra y relacionadas con el Medio Ambiente-
dc.subjectCIENCIAS NATURALES Y EXACTAS-
dc.titleWater quality assessment using multivariate statistical techniques in Río Tercero Reservoir, Argentina-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
Aparece en las colecciones: CONICET

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem