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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 99 (1997), S. 615-622 
    ISSN: 1573-2932
    Keywords: Near-shore sediments ; heavy metals ; bioindicators ; bivalves ; benthic populations ; multivariate analysis ; multiple regression analysis ; predictive models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Copper, lead, cadmium, zinc, chromium, manganese, iron and nickel were determined in near-shore sediments in the harbour of Trieste (Northern Adriatic), in an area highly exposed to urban and industrial wastes, where severe alteration of benthic population was observed. A typical bivalve of this area,Corbula gibba, was used as bioindicator of sea-bottom pollution. Multivariate statistical analysis of the chemical data interpret concentrations and distributions of heavy metals in these sediments, attesting anthropogenic source for Cu, Pb, Cd and Zn. Using labile fractions of heavy metals in sediments as ‘predictors’, and length or bionnass of the bivalve as dependent variables, we obtained, by a multiple regression procedure, a predictive model showing the influence of metals on this benthic organism of this polluted area.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Water, air & soil pollution 99 (1997), S. 615-622 
    ISSN: 1573-2932
    Keywords: Near-shore sediments ; heavy metals ; bioindicators ; bivalves ; benthic populations ; multivariate analysis ; multiple regression analysis ; predictive models
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract Copper, lead, cadmium, zinc, chromium, manganese, iron and nickel were determined in near-shore sediments in the harbour of Trieste (Northern Adriatic), in an area highly exposed to urban and industrial wastes, where severe alteration of benthic population was observed. A typical bivalve of this area, Corbula gibba, was used as bioindicator of sea-bottom pollution. Multivariate statistical analysis of the chemical data interpret concentrations and distributions of heavy metals in these sediments, attesting anthropogenic source for Cu, Pb, Cd and Zn. Using labile fractions of heavy metals in sediments as 'predictors', and length or biomass of the bivalve as dependent variables, we obtained, by a multiple regression procedure, a predictive model showing the influence of metals on this benthic organism of this polluted area.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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