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Advisor(s)
Abstract(s)
The 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 Leça 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 Leça River.
Description
Keywords
Chlorella vulgaris ecotoxicological assessment multiple linear regression principal component regression surface water quality Vibrio fischeri
Citation
Publisher
Taylor & Francis