Abstract
A computational procedure for contaminated aquifer restoration is described. The methodology comprises a combined use of groundwater flow and solute transport simulation models with nonlinear optimization. The planning procedure concerns the stabilization of a contaminant plume and the removal and treatment of the contaminated water by simultaneously operating a system of pumping and injection wells and a treatment plant. The stabilization is controlled by imposing hydraulic gradient constraints close to the plume boundary, the location of which is periodically being updated through successive applications of the solute transport model. The efficiency of the cleanup process is assumed to be directly related to the treatment cost of the pumped water. Thus, a sequential optimization procedure is being applied, where treatment costs are minimized for specified periods of time, at the end of which the effectiveness of the pumping strategy is checked through the determination of the shrinking plume’s new geometry. In the paper this design methodology is described along with an example on a hypothetical aquifer. Numerical results are presented which show the impact of various management decisions on the overall efficiency of the cleanup procedure.
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Mylopoulos, Y., Latinopoulos, P., Theodosiou, N. (1991). A Combined Use of Simulation and Optimization Techniques in the Solution of Aquifer Restoration Problems. In: Wrobel, L.C., Brebbia, C.A. (eds) Water Pollution: Modelling, Measuring and Prediction. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3694-5_4
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DOI: https://doi.org/10.1007/978-94-011-3694-5_4
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