Evaluation of sources of uncertainty in risk assessments conducted for the US Army using a case study approach.

We identify, categorize, and score sources of uncertainty in human health and ecological risk assessments conducted for several US Army sites to identify better analytical practices and opportunities for targeted research to improve risk estimates. The reviewed assessments are from reports completed within the past 8 y and were obtained from the US Army Environmental Technical Information Center (ETIC) at Aberdeen Proving Ground, Maryland, USA. Most of the risk assessments incorporated only qualitative uncertainty analysis to demonstrate the conservatism of selected data and predictive models.

Using biomarkers to inform cumulative risk assessment.

Background: Biomarkers are considered the method of choice for determining exposure to environmental contaminants and relating such exposures to health outcomes. However, the association between many biomarkers and outcome is not direct because of variability in sensitivity and susceptibility in the individual.

Objectives: We explore the relationship between environmental exposures and health outcomes as mitigated by differential susceptibility in individuals or populations and address the question "Can biomarkers enable us to understand and quantify better the population burden of disease and health effects attributable to environmental exposures?"

Methods: We use a case-study approach to develop the thesis that biomarkers offer a pathway to disaggregation of health effects into specific, if multiple, risk factors.

The use of spatial modeling in an aquatic food web to estimate exposure and risk.

This paper quantitatively evaluates interactions among foraging behavior, habitat preferences, site characteristics and the spatial distribution of contaminants in estimating PCB exposure concentrations for winter flounder at a hypothetical open water dredged material disposal site in the coastal waters of New York and New Jersey (NY-NJ). The models implemented in this study include a spatial submodel to account for spatial and temporal characteristics of fish exposure and a probabilistic adaptation of the Gobas bioaccumulation model to account for temporal variation in concentrations of polychlorinated biphenyls (PCBs) in sediment and water. We estimated the geographic distribution of an offshore winter flounder subpopulation based on species biology, including such variables as foraging area, habitat size, disposal site size and migration characteristics.

Risk based management of contaminated sediments: consideration of spatial and temporal patterns in exposure modeling.

This paper addresses interactions among foraging behavior, habitat preferences, site characteristics, and spatial distribution of contaminants in developing PCB exposure estimates for winter flounder at a hypothetical open water dredged material disposal site in the coastal waters of New York and New Jersey (NY-NJ). The implications of these interactions for human health risk estimates for local recreational anglers who fish for and eat flounder are described. The models implemented in this study include a spatial submodel to account for spatial and temporal characteristics of fish exposures and a probabilistic adaptation of the Gobas bioaccumulation model that accounts for temporal variation in concentrations of hydrophobic contaminants in sediment and water.