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Modelling partitioning and distribution of micropollutants in the lagoon of Venice: A first step towards a comprehensive ecotoxicological model

Articolo
Data di Pubblicazione:
2005
Abstract:
The model presented in this paper integrates a large amount of recent and ad hoc collected data concerning environmental contamination from micropollutants in the lagoon of Venice. This model represents the first step in setting up of an ecotoxicological model for the Venice lagoon, to simulate fate of contaminants from abiotic matrices to organisms. Distribution and partitioning of organic and inorganic contaminants are modelled by a two-dimensional model, based both on deterministic and empirical submodels and adapted to a large spectrum of different substances (polychlorinated dibenzo-dioxins/polychlorinated dibenzo-furans (PCDD/F), polychlorinated biphenyls (PCBs), heavy metals). The model was successfully calibrated on a wide set of experimental data. Sensitivity analysis showed that the model is generally not very sensible to parameters values but it is sensible to external conditions (e.g., pollutants loads). Distribution of dissolved and total concentrations of contaminants was obtained for a series of PCDD/F and PCBs congeners and for eight heavy metals. These distributions represent integrated information on ecosystem health, complementary to monitoring data and they are useful to be used for comparisons with various water quality criteria. Simulation scenarios under different external conditions are proposed as examples of use of the model for management purposes. © 2004 Elsevier B.V. All rights reserved.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Dioxins; Ecotoxicology; Heavy metals; Lagoon of Venice; Modelling contamination; Partitioning of contaminants; PCBs
Elenco autori:
Barbanti, Andrea
Autori di Ateneo:
BARBANTI ANDREA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/393143
Pubblicato in:
ECOLOGICAL MODELLING
Journal
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http://www.scopus.com/record/display.url?eid=2-s2.0-25444466195&origin=inward
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