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Optimal Well Network Design for Subsurface Remediation and Pollutant Containment
Miguel A. Marino, University of California, Davis
UC Water Resources Center Technical Completion Report W-789
ABSTRACT: A methodology for the restoration and cleanup of existing subsurface contaminated
sites and for the containment of pollutants is developed. The remediation problem is posed
as an optimization model where the rates and locations of pumping and injections are to be
determined given the characteristics and extent of the contamination plume. The solution
of the remediation problem is based on the econometric method of feedback control
coupled with ground water flow and transport simulations. For site characterization and
monitoring of the contaminant distribution and extent, an optimal sampling methodology is
presented. The sampling design is based on geostatistical methods and yields optimal
estimation of the subsurface parameters and pollutant concentrations, therefore providing
informed decision-making for ground water remediation and contaminant removal. The
remediation plan is optimized so as to lower the contamination level to a pre-specified level
by the end of the remediation period while minimizing the cost of pumping and treatment
The objective function of the optimal feedback control model consists of a successive
minimization of a weighted sum of squared deviations of the achieved cleanup level at each
stage from the desired target level of ground water quality.
SUGGESTED CITATION: Miguel A. Marino,
"Optimal Well Network Design for Subsurface Remediation and Pollutant Containment"
(July 1, 1995).
University of California Water Resources Center.
Technical Completion Reports.
Paper 789.
http://repositories.cdlib.org/wrc/tcr/789
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