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Data-Centric, Long-Term, Monitoring and
Remediation Process Optimization Integration--Subterranean
Research, Inc., P.O. Box 1121, Burlington, VT
05402-1121; 802-658-8878
Dr. Donna M. Rizzo,
Principal Investigator
Dr. David E.
Dougherty, Business Official
DOE Grant No. DE-FG02-00ER83095
Amount: $99,652
Long-term monitoring
and operations of remediation systems over the life of groundwater cleanup
projects may cost as much as discovery of the problem and construction of
cleanup facilities. When driven by
measurement data, long-term monitoring optimization integrated with remediation
process optimization offers opportunities to reduce costs without significant
changes in risk or uncertainty. These
savings result from adjustments to monitoring locations and schedules, plus
adjustments to the remediation process, that are based on better use of
sampling information. A data-centered,
software-based approach is proposed to accomplish cost-effective long-term
monitoring of contaminated groundwater sites.
Well-known statistical process control and standard groundwater
simulation modeling methods will be integrated with optimization and
data-assimilation tools. This PC-based
software system will optimize long-term monitoring while allowing site managers
and stakeholders to (1) provide time-varying management goals and priorities,
and (2) select (or vary) how much uncertainty/risk can be tolerated. Propagation of uncertainty, treatment of
nonstationary and nonseparable plume statistics, and multi-stakeholder/objective
optimization are key areas of innovation.
During Phase I, research will be performed for a method to “zone” plume
data so that well-established statistical methods can be applied. A data-centric Bayesian method that embodies
the worth of data will be developed, with special attention to computational
efficiency and robustness.
Proof-of-concept will be performed using data from a real site.
Commercial Applications and Other Benefits as described by the awardee: Recent GAO and EPA reports estimate that
between $32B and $37B will be spent at Superfund sites alone in the next 40
years for monitoring and operating groundwater cleanup systems. A modest, 10 percent increase in
productivity over that period yields about $3.5B that can be used for other
purposes. This productivity is
accomplished—leveraging sunk costs for characterization, modeling, and
facilities—by adapting the number of samples and the operation of the
remediation system to time-varying measurement data.