Environmental characterization is necessary to support remediation and monitoring decisions and to construct and validate contaminant dispersion models. The more samples obtained, the greater is the protection against making incorrect decisions. However, taking too many samples wastes valuable...

This paper describes a life cycle analysis system (LCAS) developed to support US Department of Energy (DOE) decision-making regarding deactivation and decommissioning (D and D), pollution prevention (P2), and asset recovery, and its deployment to analyze the disposition of facilities and capital...

This technical memorandum examines the role of atmospheric dispersion modeling and meteorological monitoring in support of emergency planning and response for the US Army's Chemical Stockpile Disposal Program (CSDP). Air dispersion modeling and meteorological monitoring are expected to form key...

This progress report broadly defines the scope of supplementation plans and activities in the Columbia Basin. It provides the foundation for more detailed analysis of supplementation in subsequent reports in this series. Topics included in this report are: definition of supplementation, project...

The complexity of water resource issues, its interconnectedness to other systems, and the involvement of competing stakeholders often overwhelm decision-makers and inhibit the creation of clear management strategies. While a range of modeling tools and procedures exist to address these problems,...

Effective contaminated land management requires a number of decisions addressing a suite of technical, economic, and social concerns. These concerns include human health risks, ecological risks, economic costs, technical feasibility of proposed remedial actions, and the value society places on...

Reducing cost is a critical challenge facing environmental remediation today. One of the most effective ways of reducing costs is to improve decision-making. This can range from choosing more cost- effective remediation alternatives (for example, determining whether a groundwater contamination...

Analysis of cumulative impacts is typically an inexact science. Evaluating cumulative impacts when there is uncertainty in project design data can further complicate the analysis of cumulative impacts. Additionally, a lengthy and expensive effort is often required to obtain baseline data...