@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS080 prodottidellaricerca:prodotto prodotto:ID49636 . @prefix modulo: . modulo:ID4128 prodottidellaricerca:prodotto prodotto:ID49636 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA11168 pubblicazioni:autoreCNRDi prodotto:ID49636 . unitaDiPersonaleInterno:MATRICOLA5817 pubblicazioni:autoreCNRDi prodotto:ID49636 . unitaDiPersonaleInterno:MATRICOLA6363 pubblicazioni:autoreCNRDi prodotto:ID49636 . unitaDiPersonaleInterno:MATRICOLA11655 pubblicazioni:autoreCNRDi prodotto:ID49636 . @prefix rdf: . prodotto:ID49636 rdf:type prodotto:TIPO1101 . @prefix retescientifica: . prodotto:ID49636 rdf:type retescientifica:ProdottoDellaRicerca . @prefix rdfs: . prodotto:ID49636 rdfs:label "Examination of the uncertainty in contaminant fate and transport modeling: A case study in the Venice Lagoon (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID49636 pubblicazioni:anno "2010-01-01T00:00:00+01:00"^^xsd:gYear ; pubblicazioni:doi "10.1016/j.ecoenv.2009.05.008"^^xsd:string . @prefix skos: . prodotto:ID49636 skos:altLabel "
Sommerfreund J. (2)2, Arhonditsis G. B. (1,3), Diamond M. L. (2,3), Frignani M. (4), Capodaglio, G. (5), Gerino M.(6), Bellucci L. G. (4), Giuliani S. (4), Mugnai C.(4) (2010)
Examination of the uncertainty in contaminant fate and transport modeling: A case study in the Venice Lagoon
in Ecotoxicology and environmental safety
"^^rdf:HTML ; pubblicazioni:autori "Sommerfreund J. (2)2, Arhonditsis G. B. (1,3), Diamond M. L. (2,3), Frignani M. (4), Capodaglio, G. (5), Gerino M.(6), Bellucci L. G. (4), Giuliani S. (4), Mugnai C.(4)"^^xsd:string ; pubblicazioni:paginaInizio "231"^^xsd:string ; pubblicazioni:paginaFine "239"^^xsd:string ; pubblicazioni:altreInformazioni "DOI: 10.1016/j.ecoenv.2009.05.008"^^xsd:string ; pubblicazioni:numeroVolume "73(3)"^^xsd:string . @prefix ns11: . prodotto:ID49636 pubblicazioni:rivista ns11:ID317145 ; skos:note "ISI Web of Science (WOS)"^^xsd:string ; pubblicazioni:affiliazioni "1. Univ Toronto, Dept Phys & Environm Sci, Toronto, ON Canada \n2. Univ Toronto, Dept Chem Engn & Appl Chem, Toronto, ON Canada \n3. Univ Toronto, Dept Geog, Toronto, ON M5S 1A1 Canada \n4. CNR, Inst Marine Sci, Bologna, Italy \n5. Univ Venice, Dept Environm Sci, I-30123 Venice, Italy \n6. Univ Toulouse, Lab Ecol Hydrosyst, Toulouse, France"^^xsd:string ; pubblicazioni:titolo "Examination of the uncertainty in contaminant fate and transport modeling: A case study in the Venice Lagoon"^^xsd:string ; prodottidellaricerca:abstract "A Monte Carlo analysis is used to quantify environmental parametric uncertainty in a multi-segment, multi-chemical model of the Venice Lagoon. Scientific knowledge, expert judgment and observational data are used to formulate prior probability distributions that characterize the uncertainty pertaining to 43 environmental system parameters. The propagation of this uncertainty through the model is then assessed by a comparative analysis of the moments (central tendency, dispersion) of the model output distributions. We also apply principal component analysis in combination with correlation analysis to identify the most influential parameters, thereby gaining mechanistic insights into the ecosystem functioning. We found that modeled concentrations of Cu, Pb, OCDD/F and PCB-180 varied by LIP to an order of magnitude, exhibiting both contaminant- and site-specific variability. These distributions generally overlapped with the measured concentration ranges. We also found that the uncertainty of the contaminant concentrations in the Venice Lagoon was characterized by two modes of spatial variability, mainly driven by the local hydrodynamic regime, which separate the northern and central parts of the lagoon and the more isolated southern basin. While spatial contaminant gradients in the lagoon were primarily shaped by hydrology, our analysis also shows that the interplay amongst the in-place historical pollution in the central lagoon, the local suspended sediment concentrations and the sediment burial rates exerts significant control on the variability of the contaminant concentrations. We conclude that the probabilistic analysis presented herein is valuable for quantifying uncertainty and probing its cause in over-parameterized models, while some of our results can be used to dictate where additional data collection efforts should focus on and the directions that future model refinement should follow. (C) 2009 Elsevier Inc. All rights reserved."@en ; prodottidellaricerca:prodottoDi modulo:ID4128 , istituto:CDS080 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA5817 , unitaDiPersonaleInterno:MATRICOLA6363 , unitaDiPersonaleInterno:MATRICOLA11655 , unitaDiPersonaleInterno:MATRICOLA11168 . @prefix parolechiave: . prodotto:ID49636 parolechiave:insiemeDiParoleChiave . ns11:ID317145 pubblicazioni:rivistaDi prodotto:ID49636 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID49636 .