Optimal Well Location in a River Bank Filtration System: Sensitivity to Aquifer Characteristics and Decay Rate
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 20, Issue 3
Abstract
An optimization model is developed to locate pumping wells in a river bank filtration system to minimize the overall cost of pumping and treatment. The model combines the numerical solution of water flow and solute transport from the river to the pumping wells with a genetic-algorithm-based optimization technique. The water quality parameters considered in the study are the concentration of (1) suspended solids, (2) endosulfan, which is a widely used pesticide in agriculture, and (3) E. coli. It was observed that the fitness function increases at a faster rate near the river before attaining the optimum. However, the rate of decrease in the fitness function is gradual after the optimum. It is concluded that the genetic-algorithm-based optimization technique is an efficient and robust in the estimation of optimum well distance. Sensitivity analysis of the optimal distance and total cost due to variation in aquifer characteristics and decay rate is also presented.
Get full access to this article
View all available purchase options and get full access to this article.
References
Charbeneau, R. J. (2000). Groundwater hydraulics and pollutant transport, Prentice Hall, NJ.
Culver, T. B., and Shoemaker, C. A. (1997). “Dynamic optimal groundwater reclamation with treatment capital costs.” J. Water Resour. Plann. Manage., 23–29.
Dharmappa, H. B., Fujiwara, O., Verink, J., and Vigneswaran, S. (1994). “Water-treatment-system design for turbidity removal. II: Optimization.” J. Environ. Eng., 921–942.
Dougherty, D. E., and Marryott, R. A. (1991). “Optimal groundwater management: 1. Simulated annealing.” Water Resour. Res., 27(10), 2493–2508.
Doussan, C., Poitevin, G., Ledoux, E., and Detay, M. (1997). “River bank filtration: Modelling of the changes in water chemistry with emphasis on nitrogen species.” J. Contam. Hydrol., 25(1), 129–156.
Garg, S. K., and Garg, R. (2001). Water supply engineering, Khanna Publishers, New Delhi, India.
Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning, Addison-Wesley, New York.
Grischek, T., Schoenheinz, D., and Ray, C. (2003). “Siting and design issues for riverbank filtration schemes.” Riverbank filtration improving source-water quality, Kluwer Academic Publishers, Dordrecht, Netherlands, 291–302.
Han, T.-H., Nahm, E.-S., Woo, K. B., Kim, C. J., and Ryu, J.-W. (1997). “Optimization of coagulant dosing process in water purification system.” Proc., SICE Annual Conf., Tokyo, 1105–1109.
Hend, G.-G. (1996). “Chlorine in water disinfection.” J. Pure Appl. Chem., 68(9), 1731–1735.
Hiscok, K. M., and Grischek, T. (2002). “Attenuation of groundwater pollution by bank filtration.” J. Hydrol., 266(3–4), 139–144.
Huang, C., and Mayer, A. S. (1997). “Pump and treatment optimization using well locations and pumping rates as decision variables.” Water Resour. Res., 33(5), 1001–1012.
Mckinney, D. C., and Lin, M. D. (1996). “Pump and treat groundwater remediation system optimization.” J. Water Resour. Plann. Manage., 128–136.
McKinney, D. C., and Lin, M. D., (1994). “Genetic algorithm solution of groundwater management models.” Water Resour. Res., 30(6), 1897–1906.
Mishra, P. C., and Patel, R. K. (2008). “Removal of endosulfan from sal wood charcoal.” J. Hazard. Mater., 152(2), 730–736.
Ogata, A., and Banks, R. B. (1961). “A solution of the differential equation of longitudinal dispersion in porous media.” U.S. Geological Survey Proc., Washington, DC.
Ranjithan, S., Eheart, J. W., and Garrett, J. H. (1993). “Neural network based screening for groundwater reclamation under uncertainty.” Water Resour. Res., 29(3), 563–574.
Ray, C., Melin, G., and Linsky, R. B. (2003). Riverbank filtration Improving source-water quality, Kluwer Academic Publishers, Dordrecht, Netherlands.
Savic, D. A., Walters, G. A., and Davidson, J. W. (1999). “A genetic algorithm approach to rainfall—Runoff modelling.” Water Resour. Manage., 13(3), 219–231.
Schubert, J. (2001). “How does it work? Field studies on river bank filtration.” Proc., Int. Riverbank Filtration Conf., IAWR, Amsterdam, Netherlands, 41–55.
Shieh, H. J., and Peralta, R. C. (2005). “Optimal in situ bioremediation design by hybrid genetic algorithm—Simulated annealing.” J. Water Resour. Plann. Manage., 67–78.
Ucaner, M. E., and Ozdemir, O. N. (2003). “Optimization of booster chlorination in water distribution networks with genetic algorithms.” World Water Environmental Resources Congress, 1629–1638.
Van Genuchten, M. T. and Alves, W. J. (1982). “Analytical solution of the one dimensional convective-dispersive solute transport equation.” U.S. Dept. of Agriculture, Washington, DC.
Information & Authors
Information
Published In
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 20 • Issue 3 • July 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Sep 25, 2014
Accepted: Sep 23, 2015
Published online: Jan 6, 2016
Discussion open until: Jun 6, 2016
Published in print: Jul 1, 2016
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.