Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/103380
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dc.creatorAna I. Gomes
dc.creatorJosé C. M. Pires
dc.creatorSónia A. Figueiredo
dc.creatorRui A. R. Boaventura
dc.date.accessioned2019-08-14T23:10:54Z-
dc.date.available2019-08-14T23:10:54Z-
dc.date.issued2014
dc.identifier.issn0959-3330
dc.identifier.othersigarra:180520
dc.identifier.urihttps://hdl.handle.net/10216/103380-
dc.description.abstractThe ecotoxicological response of the living organisms in an aquatic system depends on the physical, chemical and bacteriological variables, as well as the interactions between them. An important challenge to scientists is to understand the interaction and behaviour of factors involved in a multidimensional process such as the ecotoxicological response. With this aim, multiple linear regression (MLR) and principal component regression were applied to the ecotoxicity bioassay response of Chlorella vulgaris and Vibrio fischeri in water collected at seven sites of Leca river during five monitoring campaigns (February, May, June, August and September of 2006). The river water characterization included the analysis of 22 physicochemical and 3 microbiological parameters. The model that best fitted the data was MLR, which shows: (i) a negative correlation with dissolved organic carbon, zinc and manganese, and a positive one with turbidity and arsenic, regarding C. vulgaris toxic response; (ii) a negative correlation with conductivity and turbidity and a positive one with phosphorus, hardness, iron, mercury, arsenic and faecal coliforms, concerning V. fischeri toxic response. This integrated assessment may allow the evaluation of the effect of future pollution abatement measures over the water quality of Leca River.
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.titleMultiple linear and principal component regressions for modelling ecotoxicity bioassay response
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1080/09593330.2013.856956
dc.identifier.authenticusP-009-33G
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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