Respectively, Engineer, Geophex, Ltd., 605 Mercury St., Raleigh, North Carolina 27603; Professor, Dept. of Civil and Environmental Engineering, Duke University, Box 90287, Durham, North Carolina 27708; Director, Occupational and Environmental Safety, Box 3914, Med Center, Durham, North Carolina 27710; Engineer, National Inst. of Environmental Health Science, P.O. Box 12233, Research Triangle Park, North Carolina 27709; and Engineer, Sabre, Inc., Mail Drop 7390 TSG, One East Kirkwood Blvd., Southiake, Texas 76092 (E-Mail/Medina: email@example.com).
OPTIMIZATION OF INTERMITTENT PUMPING SCHEDULES FOR AQUIFER REMEDIATION USING A GENETIC ALGORITHM1
Article first published online: 8 JUN 2007
JAWRA Journal of the American Water Resources Association
Volume 36, Issue 6, pages 1335–1348, December 2000
How to Cite
Liu, W.-H., Medina, M. A., Thomann, W., Piver, W. T. and Jacobs, T. L. (2000), OPTIMIZATION OF INTERMITTENT PUMPING SCHEDULES FOR AQUIFER REMEDIATION USING A GENETIC ALGORITHM. JAWRA Journal of the American Water Resources Association, 36: 1335–1348. doi: 10.1111/j.1752-1688.2000.tb05730.x
Paper No. 99113 of the Journal of the American Water Resources Association.Discussions are open until August 1, 2001.
- Issue published online: 8 JUN 2007
- Article first published online: 8 JUN 2007
- genetic algorithm;
- optimal pumping schedules;
- stochastic ground water;
- contaminant transport models
ABSTRACT: Using a genetic algorithm (GA), optimal intermittent pumping schedules were established to simulate pump-and-treat remediation of a contaminated aquifer with known hydraulic limitations and a water miscible contaminant, located within the Duke Forest in Durham, North Carolina. The objectives of the optimization model were to minimize total costs, minimize health risks, and maximize the amount of contaminant removed from the aquifer. Stochastic ground water and contaminant transport models were required to provide estimates of contaminant concentrations at pumping wells. Optimization model simulations defined a tradeoff curve between the pumping cost and the amount of contaminant extracted from the aquifer. For this specific aquifer/miscible contaminant combination, the model simulations indicated that pump-and-treat remediation using intermittent pumping schedules for each pumping well produced significant reductions in predicted contaminant concentrations and associated health risks at a reasonable cost, after a remediation time of two years.