Risk Based Bioremediation Design
B. S. Minsker,* J. B. Smalley
Sponsor: University of
Illinois
Risk-based corrective action is rapidly becoming the method of choice for
groundwater remediation. However, considerable uncertainty is associated
with both the human health response to a given dose and the prediction of
exposure to contaminants. In this project, we are developing a management
model which will be used for in situ bioremediation design under
risk-based criteria. The effects of risk and uncertainty in the risk
calculations on the appropriate design will be examined. If, for example,
high risk is associated with a particular site, then the reliability of
the cleanup must be very high to ensure that human health is protected.
Conversely, if risk is quite low, the reliability can be lower and natural
processes can be relied upon to remediate the groundwater at lower cost.
A coupled optimization and simulation model using a noisy genetic
algorithm and finite element simulation model is used in this work.
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