NDLI: Global uncertainty and sensitivity analysis of a food-web bioaccumulation model.

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Global uncertainty and sensitivity analysis of a food-web bioaccumulation model.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Ciavatta, Stefano Lovato, Tomas Ratto, Marco Pastres, Roberto
Description	Country affiliation: Italy Author Affiliation: Ciavatta S ( EuroMediterranean Centre for Climate Change Consorzio Venezia Ricerche, Via della Libertà 12, 30175 Venezia, Italy. ciavatta@unive.it)
Abstract	A global uncertainty and sensitivity analysis (UA/SA) of a state-of-the-art, food-web bioaccumulation model was carried out. We used an efficient screening analysis technique to identify the subset of the most relevant input factors among the whole set of 227 model parameters. A quantitative UA/SA was then applied to this subset to rank the relevance of the parameters and to partition the variance of the model output among them by means of a nonlinear regression of the outcomes of 1,000 Monte Carlo simulations. The concentrations of four representative persistent organic pollutants (POPs) in two representative species of the coastal marine food web of the Lagoon of Venice (Italy) were taken as model outputs. The screening analysis showed that the ranking was remarkably different in relation to the species and chemical being considered. The subsequent Monte Carlo-based quantitative analysis pointed out that the relationships among some of the parameters and the model outputs were nonlinear. The nonlinear regression showed that the fraction of output variance accounted for by each parameter was strongly dependent on the range of the octanol-water partition coefficient (K(OW)) values being considered. For the less hydrophobic chemicals, the main sources of model uncertainty were the parameters related to the respiratory bioaccumulation, whereas for the more hydrophobic ones, K(OW) and the other parameters related to the dietary uptake explained the largest fractions of the variance of the chemical concentrations in the organisms. The analysis highlighted that efforts are still needed for reducing uncertainty of model parameters to get reliable results from the application of food web bioaccumulation models.
File Format	HTM / HTML
ISSN	07307268
Issue Number	4
Volume Number	28
e-ISSN	15528618
Journal	Environmental Toxicology and Chemistry
Language	English
Publisher	Wiley
Publisher Date	2009-04-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Research Support, Non-u.s. Gov't Uncertainty Environmental Pollutants Risk Assessment Sensitivity And Specificity Discipline Environmental Health Discipline Toxicology Metabolism Journal Article Reproducibility Of Results Food Chain Animals Models, Biological Bivalvia Analysis Perciformes Discipline Chemistry Pharmacokinetics Monte Carlo Method
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Health, Toxicology and Mutagenesis

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