title: Uncertainty in compartmental models for hazardous materials - a case study.
abstract: Performing uncertainty analysis on compartmental models is the main topic of this article. Elements of the methodology developed during a joint CEC/USNRC accident consequence code uncertainty analysis are introduced. The uncertainty is quantified using structured expert judgment. Experts are queried about physically observable quantities. Many code input parameters of the accident consequence codes are not physically observable but are used to predict observable quantities. Therefore, a probabilistic inversion technique was developed which 'transfers' the uncertainty from the physically observable quantities to the code input parameters. The probabilistic inversion technique is illustrated using the compartmental model of systemic retention of Sr in the human body. The article is concluded with a discussion on capturing uncertainty via compartmental models.
authors.affiliation: TU Delft, Faculty of Mathematics, Mekelweg 4, P.O. Box 5031, 2600 GA, Delft, Netherlands.
authors.forename: B C
authors.initials: BC
authors.lastname: Kraan
authors.forename: R M
authors.initials: RM
authors.lastname: Cooke
mesh_terms: D015386:Hazardous Substances / Q000009:adverse effects*; D006801:Humans; D015233:Models, Statistical; D012308:Risk Management; D017751:Safety Management / Q000379:methods*
chemical_list: D015386:Hazardous Substances