Groundwater Modeling with Nonlinear Uncertainty Analyses to Enhance Remediation Design Confidence.

Soil and groundwater contamination are often managed by establishing on-site cleanup targets within the context of risk assessment or risk management measures. Decision-makers rely on modeling tools to provide insight; however, it is recognized that all models are subject to uncertainty. This case study compares suggested remediation requirements using a site-specific numerical model and a standardized analytical tool to evaluate risk to a downgradient wetland receptor posed by on-site chloride impacts.