title: An overview of a multimedia benchmarking analysis for three risk assessment models: RESRAD, MMSOILS, and MEPAS.
abstract: Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a detailed and quantitative benchmarking analysis of three multimedia models. The three models--RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)--represent analytically-based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. Model form and function are compared by applying the models to a series of hypothetical problems, first isolating individual modules (e.g., atmospheric, surface water, groundwater) and then simulating multimedia-based risk resulting from contaminant release from a single source to multiple environmental media. Study results show that the models differ with respect to environmental processes included (i.e., model features) and the mathematical formulation and assumptions related to the implementation of solutions. Depending on the application, numerical estimates resulting from the models may vary over several orders-of-magnitude. On the other hand, two or more differences may offset each other such that model predictions are virtually equal. The conclusion from these results is that multimedia models are complex due to the integration of the many components of a risk assessment and this complexity must be fully appreciated during each step of the modeling process (i.e., model selection, problem conceptualization, model application, and interpretation of results).
authors.affiliation: United State Environmental Protection Agency, Office of Research & Development, Athens, Georgia 30605, USA.
authors.forename: G F
authors.initials: GF
authors.lastname: Laniak
authors.forename: J G
authors.initials: JG
authors.lastname: Droppo
authors.forename: E R
authors.initials: ER
authors.lastname: Faillace
authors.forename: E K
authors.initials: EK
authors.lastname: Gnanapragasam
authors.forename: W B
authors.initials: WB
authors.lastname: Mills
authors.forename: D L
authors.initials: DL
authors.lastname: Strenge
authors.forename: G
authors.initials: G
authors.lastname: Whelan
authors.forename: C
authors.initials: C
authors.lastname: Yu
mesh_terms: D000393:Air Pollutants / Q000009:adverse effects; D000465:Algorithms; D003246:Conservation of Energy Resources; D004781:Environmental Exposure; D004787:Environmental Pollution / Q000009:adverse effects; D005544:Forecasting; D006077:Government Agencies; D006256:Hazardous Waste / Q000009:adverse effects; D006262:Health; D006801:Humans; D008954:Models, Biological; D015233:Models, Statistical; D019212:Multimedia; D018570:Risk Assessment; D012307:Risk Factors; D012989:Soil Pollutants / Q000009:adverse effects; D014481:United States; D014484:United States Environmental Protection Agency; D014873:Water Pollutants / Q000009:adverse effects
chemical_list: D000393:Air Pollutants; D006256:Hazardous Waste; D012989:Soil Pollutants; D014873:Water Pollutants