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Surface Water Quality Assessment of Lis River Using Multivariate Statistical Methods

dc.contributor.authorVieira, Judite S.
dc.contributor.authorPires, José C. M.
dc.contributor.authorMartins, Fernando G.
dc.contributor.authorVilar, Vítor J. P.
dc.contributor.authorBoaventura, Rui A. R.
dc.contributor.authorBotelho, Cidália M. S.
dc.date.accessioned2025-11-18T16:48:32Z
dc.date.available2025-11-18T16:48:32Z
dc.date.issued2012-10-02
dc.description.abstractThis study presents the application of multivariate statistical tools for the evaluation of spatial variations and the interpretation of water quality data obtained in a monitoring program of Lis river basin surface water, Portugal. Twenty-seven physicochemical and microbiological parameters were determined in six water sampling campaigns at 16 monitoring sites during the period from September 2003 to November 2006. Correlation analysis, principal component analysis, and cluster analysis were performed to evaluate the main water pollution sources and to characterize the spatial distribution of water pollution profiles in river basin. The results achieved with the statistical methodologies led to distinguish natural and anthropogenic pollution sources. Additionally, monitoring sites with similar water pollution profile were identified, indicating that some monitoring locations can be changed to 1improve the spatial characterization of water quality in the river basin. CBO, CQO, P, and N were identified as significant variables affecting spatial variations, namely in the Lis river middle reach. Besides the identification of main pollution sources, the applied statistical tools were able to identify spatial patterns of water pollution in Lis river basin, which further helps in the reassessment of the number and location of monitoring sites.eng
dc.description.sponsorshipFinancial support for this work was provided by project PEst-C/EQB/LA0020/2011, financed by FEDER through COMPETE—Programa Operacional Factores de Competitividade, and by FCT—Fundação para a Ciência e a Tecnologia. Judite S. Vieira acknowledges financial support PRODEP program (2003/2006). José C.M. Pires acknowledges his post-doctoral fellowship (SFRH/BPD/66721/2009) supported by the Portuguese Foundation for Science and Technology (FCT), POPH-QREN, and FSE. V. Vilar acknowledges Ciência 2008 Program.
dc.identifier.citationVieira, J.S., Pires, J.C.M., Martins, F.G. et al. Surface Water Quality Assessment of Lis River Using Multivariate Statistical Methods. Water Air Soil Pollut 223, 5549–5561 (2012). https://doi.org/10.1007/s11270-012-1267-5
dc.identifier.doi10.1007/s11270-012-1267-5
dc.identifier.issn0049-6979
dc.identifier.issn1573-2932
dc.identifier.urihttp://hdl.handle.net/10400.8/14660
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relation.hasversionhttps://link.springer.com/article/10.1007/s11270-012-1267-5
dc.relation.ispartofWater, Air, & Soil Pollution
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLis river
dc.subjectWater quality
dc.subjectPhysicochemical parameters
dc.subjectMicrobiological parameters
dc.subjectPrincipal component analysis
dc.subjectCluster analysis
dc.titleSurface Water Quality Assessment of Lis River Using Multivariate Statistical Methodseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage5561
oaire.citation.issue9
oaire.citation.startPage5549
oaire.citation.volume223
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameVieira
person.givenNameJudite
person.identifier.ciencia-idEA1B-12E3-7703
person.identifier.orcid0000-0001-7982-5686
person.identifier.ridH-5018-2017
person.identifier.scopus-author-id36869854300
relation.isAuthorOfPublication72df3193-dd37-46a1-bca3-fca816008bf1
relation.isAuthorOfPublication.latestForDiscovery72df3193-dd37-46a1-bca3-fca816008bf1

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