Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/103378
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dc.creatorAna I. Gomes
dc.creatorJosé C. M. Pires
dc.creatorSónia A. Figueiredo
dc.creatorRui A. R. Boaventura
dc.date.accessioned2019-08-14T23:10:18Z-
dc.date.available2019-08-14T23:10:18Z-
dc.date.issued2014
dc.identifier.issn0920-4741
dc.identifier.othersigarra:180518
dc.identifier.urihttps://hdl.handle.net/10216/103378-
dc.description.abstractThis study aims to optimize the water quality monitoring of a polluted watercourse (Le double dagger a River, Portugal) through the principal component analysis (PCA) and cluster analysis (CA). These statistical methodologies were applied to physicochemical, bacteriological and ecotoxicological data (with the marine bacterium Vibrio fischeri and the green alga Chlorella vulgaris) obtained with the analysis of water samples monthly collected at seven monitoring sites and during five campaigns (February, May, June, August, and September 2006). The results of some variables were assigned to water quality classes according to national guidelines. Chemical and bacteriological quality data led to classify Le double dagger a River water quality as "bad" or "very bad". PCA and CA identified monitoring sites with similar pollution pattern, giving to site 1 (located in the upstream stretch of the river) a distinct feature from all other sampling sites downstream. Ecotoxicity results corroborated this classification thus revealing differences in space and time. The present study includes not only physical, chemical and bacteriological but also ecotoxicological parameters, which broadens new perspectives in river water characterization. Moreover, the application of PCA and CA is very useful to optimize water quality monitoring networks, defining the minimum number of sites and their location. Thus, these tools can support appropriate management decisions.
dc.language.isoeng
dc.relationinfo:eu-repo/grantAgreement/FCT - Fundação para a Ciência e Tecnologia/Projetos Estratégicos/PEst-C/EQB/UI0511/2013/PROJECTO ESTRATÉGICO - UI 511 - 2013-2014/UI0511
dc.rightsrestrictedAccess
dc.subjectCiências do ambiente, Engenharia do ambiente
dc.subjectEnvironmental science, Environmental engineering
dc.titleOptimization of River Water Quality Surveys by Multivariate Analysis of Physicochemical, Bacteriological and Ecotoxicological Data
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1007/s11269-014-0547-9
dc.identifier.authenticusP-009-8R6
dc.subject.fosCiências da engenharia e tecnologias::Engenharia do ambiente
dc.subject.fosEngineering and technology::Environmental engineering
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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