A Cercla-Based Decision Support System for Environmental Remediation Strategy Selection.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH
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The Idaho National Environmental Engineering Laboratory INEEL, operating in conjunction with the Department of Energy DOE, faces with the complex decision of selecting an environmental remediation strategy for the Subsurface Disposal Area SDA of the Radioactive Waste Management Complex RWMC. This research uses value-focused thinking and multiattribute preference theory techniques to produce a decision analysis model to aid the decisionmakers as they select a remediation strategy. A deterministic analysis using expert opinion and the best available engineering data demonstrates the models capabilities. The model ranks 27 specific remediation strategies based on how well they meet CERCLAs five balancing criteria implementability, short-term effectiveness, long-term effectiveness, reduction of toxicity, mobility, or volume through treatment, and cost. The model allows for sensitivity analysis to display the effects of changes in engineering opinion, the values of the data, and model parameters. Overall, the model provides decision tools that can help the decisionmakers at INEEL make a better informed and better documented decision when choosing a remediation strategy. Furthermore, the model can be easily manipulated and applied by decision makers at other DOE sites.
- Computer Systems
- Radiation Pollution and Control