Embedding expert knowledge in a decision model: evaluating natural attenuation at TCE sites

Area of Science:

• Environmental Science
• Remediation Technologies
• Decision Analysis

Background:

• Complex environmental contamination requires effective decision-making tools.
• Existing protocols for evaluating remediation options, such as reductive dechlorination for trichloroethene (TCE), have limitations.
• Expert knowledge is crucial but difficult to translate into practical decision support.

Purpose of the Study:

• To develop a generalized methodology for converting expert knowledge into user-friendly decision tools.
• To propose an improved scoring system for evaluating reductive dechlorination of TCE.
• To demonstrate the utility of the new system in assessing bioattenuation potential.

Main Methods:

• Developed a generalized methodology for expert knowledge translation.
• Created an alternate scoring system with weighted findings and negative weights.
• Applied the methodology and scoring system to TCE contamination sites.
• Utilized data from extensively studied sites to validate the approach.

Main Results:

• The proposed methodology successfully translates expert knowledge into decision tools.
• The alternate scoring system effectively incorporates expert beliefs and negative findings.
• The system accurately assesses the bioattenuation potential of TCE using real-world data.

Conclusions:

• The generalized methodology offers a flexible approach to creating decision tools for complex remediation processes.
• The proposed scoring system enhances the evaluation of reductive dechlorination for TCE by incorporating expert judgment more effectively.
• This approach provides a valuable tool for site managers and environmental professionals involved in contamination remediation.