Modelling partitioning and distribution of micropollutants in the lagoon of Venice: a first step towards a comprehensive ecotoxicological model |
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| Affiliation: | 1. Department of Biology and Ecology, Faculty of Natural Sciences, Matej Bel University, Tajovského 40, 97401, Banská Bystrica, Slovakia;2. AGH University of Science and Technology, Faculty of Energy and Fuels, Department of Coal Chemistry and Environmental Sciences, al. A. Mickiewicza 30, 30-059, Krakow, Poland;3. Department of Analytical Chemistry, Faculty of Material Science and Technology, AGH University of Science and Technology, Krakow, Poland;4. Institute of Zoology, Slovak Academy of Sciences, Dúbravská cesta 9, 84506, Bratislava, Slovakia;1. IASMA Research and Innovation Centre, E. Mach Foundation–Istituto Agrario di San Michele all''Adige, Via E. Mach 1, 38010 S. Michele all''Adige, Trento, Italy;2. Department of Ecology and Environmental Science, Faculty of Science and Technology, Umeå University, Linneus väg 6, 901 87 Umeå, Sweden;3. Department of Physics, University of Trento, Via Sommarive 14, 38123 Povo, Trento, Italy;1. Facultad de Ciencias, Universidad de Salamanca, Plaza de los Caidos, s/n, 37008 Salamanca, Spain;2. Laboratorio de Limnologia del Parque Natural del Lago de Sanabria, Eras 1, 49300 Puebla de Sanabria, Zamora, Spain.;3. Instituto Pirenaico de Ecologia (IPE-CSIC), Av. Montañana 1005, 50059 Zaragoza, Spain;4. Laboratorio Internacional de Cambio Global (LINCGlobal), Avda Montañana 1005, 50059, Zaragoza, Spain |
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| 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. |
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