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Designing contaminated-groundwater remediation systems using numerical simulation and nonlinear optimization

Thesis/Dissertation ·
OSTI ID:5282305
Methods of combining numerical simulation models derived from partial differential equations and numerical optimization techniques are explored in the context of engineering design. Techniques for incorporating simulation models into an optimization framework are presented. An attempt is made to devise hydraulic control systems for contaminated groundwater aquifer remediation. A series of nonlinear optimization formulations are proposed which quantify design objectives and constraints for designing the location and pump rates at injection/extraction wells in an aquifer cleanup system. The different formulations are designed to find the pumping system which: removes the most contaminant over a fixed time period, reduces contaminant concentration to specified levels by the end of a fixed time period at least cost, and prevents the contaminant plume from migrating further than its current position at least cost. The nonlinear optimization formulations represent groundwater physics by incorporating a two dimensional Galerkin finite element model of the convective-dispersive transport equation.
Research Organization:
Princeton Univ., NJ (USA)
OSTI ID:
5282305
Country of Publication:
United States
Language:
English