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

Environmental Toxicology and Chemistry

Volumn 28, Issue 4, 2009, Pages 718-732

  Ciavatta, Stefano ^a,b   Lovato, Tomas ^c   Ratto, Marco ^d   Pastres, Roberto ^b  

^a EuroMediterranean Centre for Climate Change   (Italy)

^b Department of Physical Chemistry ^*  (Italy)

^c CA' FOSCARI UNIVERSITY OF VENICE   (Italy)

^d JOINT RESEARCH CENTRE   (Italy)

Author keywords

Coastal food web; Lagoon of Venice; Persistent organic pollutants; Recursive estimation

Indexed keywords

BIOACCUMULATION MODELS; CHEMICAL CONCENTRATIONS; COASTAL FOOD WEB; FOOD WEBS; GLOBAL UNCERTAINTIES; HYDROPHOBIC CHEMICALS; INPUT FACTORS; LAGOON OF VENICE; MARINE FOOD WEBS; MODEL OUTPUTS; MODEL PARAMETERS; MODEL UNCERTAINTIES; MONTE CARLO; MONTE CARLO SIMULATIONS; NON-LINEAR REGRESSIONS; OCTANOL-WATER PARTITION COEFFICIENTS; PERSISTENT ORGANIC POLLUTANTS; QUANTITATIVE ANALYSIS; RECURSIVE ESTIMATION; SCREENING ANALYSIS;

BIOACCUMULATION; BIOCHEMISTRY; CHEMICAL ANALYSIS; ECOLOGY; FOOD ADDITIVES; HYDROPHOBICITY; LAKES; MARINE POLLUTION; MONTE CARLO METHODS; NONLINEAR ANALYSIS; RECURSIVE FUNCTIONS; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

ORGANIC POLLUTANTS;

BIOACCUMULATION; DIET; FOOD INTAKE; FOOD WEB; LAGOON; MODELING; MONTE CARLO ANALYSIS; ORGANIC POLLUTANT; QUANTITATIVE ANALYSIS; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

ARTICLE; BIOACCUMULATION; COASTAL WATERS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; FOOD WEB; GLOBAL CHANGE; HYDROPHOBICITY; ITALY; MONTE CARLO METHOD; NONLINEAR REGRESSION ANALYSIS; ORGANIC POLLUTION; PARTITION COEFFICIENT; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SCREENING TEST; SENSITIVITY ANALYSIS; UNCERTAINTY; WATER POLLUTANT;

ANIMALS; BIVALVIA; ENVIRONMENTAL POLLUTANTS; FOOD CHAIN; MODELS, BIOLOGICAL; MONTE CARLO METHOD; PERCIFORMES; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; UNCERTAINTY;

EURASIA; EUROPE; ITALY; SOUTHERN EUROPE; VENETO; VENEZIA [VENETO]; VENICE LAGOON;

EID: 64849093340     PISSN: 07307268     EISSN: None     Source Type: Journal    
DOI: 10.1897/08-102R.1     Document Type: Article

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