title: Using a probabilistic approach in an ecological risk assessment simulation tool: test case for depleted uranium (DU).
abstract: A probabilistic approach was applied in an ecological risk assessment (ERA) to characterize risk and address uncertainty employing Monte Carlo simulations for assessing parameter and risk probabilistic distributions. This simulation tool (ERA) includes a Window's based interface, an interactive and modifiable database management system (DBMS) that addresses a food web at trophic levels, and a comprehensive evaluation of exposure pathways. To illustrate this model, ecological risks from depleted uranium (DU) exposure at the US Army Yuma Proving Ground (YPG) and Aberdeen Proving Ground (APG) were assessed and characterized. Probabilistic distributions showed that at YPG, a reduction in plant root weight is considered likely to occur (98% likelihood) from exposure to DU; for most terrestrial animals, likelihood for adverse reproduction effects ranges from 0.1% to 44%. However, for the lesser long-nosed bat, the effects are expected to occur (>99% likelihood) through the reduction in size and weight of offspring. Based on available DU data for the firing range at APG, DU uptake will not likely affect survival of aquatic plants and animals (<0.1% likelihood). Based on field and laboratory studies conducted at APG and YPG on pocket mice, kangaroo rat, white-throated woodrat, deer, and milfoil, body burden concentrations observed fall into the distributions simulated at both sites.
authors.affiliation: Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
authors.forename: Ming
authors.initials: M
authors.lastname: Fan
authors.forename: Tepwitoon
authors.initials: T
authors.lastname: Thongsri
authors.forename: Lisa
authors.initials: L
authors.lastname: Axe
authors.forename: Trevor A
authors.initials: TA
authors.lastname: Tyson
mesh_terms: D000818:Animals; D003198:Computer Simulation; D004787:Environmental Pollution / Q000009:adverse effects* / Q000706:statistics & numerical data*; D020387:Food Chain; D015233:Models, Statistical; D009010:Monte Carlo Method; D019055:No-Observed-Adverse-Effect Level; D010944:Plants; D018570:Risk Assessment; D035501:Uncertainty; D014481:United States; D014484:United States Environmental Protection Agency; D014501:Uranium / Q000032:analysis / Q000633:toxicity*
chemical_list: D014501:Uranium