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.

journal_name

Chemosphere

journal_title

Chemosphere

authors

Fan M,Thongsri T,Axe L,Tyson TA

doi

10.1016/j.chemosphere.2004.12.004

subject

Has Abstract

pub_date

2005-06-01 00:00:00

pages

111-25

issue

1

eissn

0045-6535

issn

1879-1298

pii

S0045-6535(04)01210-X

journal_volume

60

pub_type

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