Optimal Aquifer Pumping Policy to Reduce Contaminant Concentration

Document Type : Technical Note


1 M.Sc. of Environmental Eng., Dept. of Civil Eng., Iran University of Tech., Tehran

2 Assoc. Prof. of Water and Environment, Dept. of Civil Eng., Iran University of Tech., Tehran

3 Assoc Prof. of Water and Environment, Dept. of Civil Eng., Iran University of Tech., Tehran


Different sources of ground water contamination lead to non-uniform distribution of contaminant concentration in the aquifer. If elimination or containment of pollution sources was not possible, the distribution of contaminant concentrations could be modified in order to eliminate peak concentrations using optimal water pumping discharge plan. In the present investigation Visual MODFLOW model was used to simulate the flow and transport in a hypothetic aquifer. Genetic Algorithm (GA) also was applied to optimize the location and pumping flow rate of wells in order to reduce contaminants peak concentrations in aquifer.


Khan, F.I., Husain, T., and Hejazi, R. (2006). Simulation pump and treat and air sparging for in-situ remediation of contaminated groundwater. 56, 30-39 Gorelick, S. M., Voss, C. I., Gill, P.E., Murry, W., Saunders, M. A., and Wright, M.H (1984). Aqufer reclamation design : The use of contaminant transport simulation combined with nonlinear programming. Water Resource. Res.. 20 (4), 415-427 Cai, X., Rosegrant, M.W., and Ringler, C. (2003). Physical and economic efficiency of water use in the river basin: Implication for efficient water management. Water Resource. Res .. 39 (1), 1013-1024 Zheng, C., and Wang, P.P. (1999). An integrated global and local optimization approach for remediation system design. Water Resource. Res.. 35 (1), 137-148 Mayer, A.S., Kelley, C.T., and Miller C.T. (2002). Optimal design for problems involving flow and transport phenomena in saturated subsurface systems. Adv. Water Resource. 25, 1233-1256 Sturman, P.J., Stewart, P.S., Cunningham, A.B., Bouwer, E.J., and Wolfram, Jh. (1995). Engineering scale-up of in situ bioremediation process: Review. J. Contaminant Hydro.. 19, 171-203 Jonoski, A., Zhou, Y., Nonner, J., and Meijer, S. (1997). Model-aided design and optimization of artificial recharge-pumping systems. J. Hydro. Sci.. 42 (6), 937-953 Chang, L.C., Shoemaker, C.A., and Liu, P.L.F. (1992). Optimal time varying pumping rates for groundwater remediation: Application of constrained optimal control algorithm. Water Resource. Res.. 28 (12), 157-173 Aly, A.H., and Peralta, R.C. (1999). Comparison of a genetic algorithm and mathematical programming to the design of groundwater cleanup system. Water Resource. Res .. 35 (8), 2415-2425 Aly, A.H., and Peralta, R.C. (1999). Optimal design of aquifer cleanup systems under uncertainty using a neural network and genetic algorithm. Water Resource. Res.. 35 (8), 2523-2532 Aral, M.M., and Guan, J. (1996). Optimal groundwater remediation design using differential genetic algorithm. Computational Methods in Water Resources. 1, 357-394 Wang, M., and Zheng, C. (1997). Optimal remediation policy selection under general conditions. Ground Water. 35 (5), 757-764 Waterloo Hydrogeologic http://www.waterloohydrogeologic.com. http://www.waterloohydrogeologic.com. Harbaugh, A.W., Banta, E.R., Hill, M.C., and McDonald, M.G. (2000). MODFLOW-2000, the US Geological survey modular ground-water-model user guide to modularization concepts and the groundwater flow process. USGS Open- File Report 00-92, P. 121, USA. Reed, P., Minsker, B., and Goldberg, D. E. (2000). Designing a competent simple genetic algorithm for search and optimization. Water Resource. Res.. 36 (12), 3757-3761 Harik, G.R., Cantu-Paz, E., Goldberg, D. E., and Miller, B. L. (1997). The gamblers ruin problem, genetic algorithm and the sizing of populations. In Proceedings of the 1997 IEEE conference on Evolutionary Computing, IEEE Press Piscataway, N.J.. , 7-12