Improving Seawater Barrier Operation with Simulation Optimization in Southern California
Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 2
Abstract
A calibrated simulation model is linked with two optimization models to investigate alternatives for enhancing seawater intrusion barrier operations for the Alamitos Barrier Project in Los Angeles. Two types of management problems are analyzed, the optimal scheduling problem (OSP) and the optimal well location problem. The OSP objective is to minimize the total injected water subject to constraints on the state variables: Hydraulic head and chloride concentration at target locations. Two OSP formulations are considered, a pure hydraulic gradient formulation, and a combined hydraulic and transport formulation. When considering all 43 injection wells over a five-year planning horizon, the simulation-optimization model could not significantly improve upon the assigned initial injection rates. However, if a subset of the injection wells is exclusively considered, more favorable injection policies are obtained where less water is injected, compared with either the mean or annual mean derived from the historical record. Next, a genetic algorithm (GA) is linked with the calibrated simulation model to determine the locations of new injection wells that maximize one of two alternative fitness functions, which quantify barrier improvement. Parallel processing is implemented to accelerate the convergence of the GA.
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Acknowledgments
First, the writers acknowledge the Water Research Center for funding this project under the University of California Center for Water Resources Grant No. UNSPECIFIEDWRC-983, and also the USGS for their support under Grant No. UNSPECIFIED01HQGR0140, Mod 4. We also acknowledge the contributions of the County of Los Angeles Department of Public Works and Academic Technology Services at UCLA. We would also like to acknowledge David L. Carroll for the use of his genetic algorithm. The in-depth reviews and constructive comments provided by two anonymous reviewers are greatly appreciated.
References
Banzhaf, W., Nordin, P., Keller, R. E., and Francone, F. D. (1998). Genetic programming: An introduction. Morgan Kaufmann Publishers, Inc., San Francisco.
Becker, L., and Yeh, W. W.-G. (1972). “Identification of parameters in unsteady open channel flows.” Water Resour. Res., 8(4), 956–965.
Bhattacharjya, R. K., and Datta, B. (2005). “Optimal management of coastal aquifers using linked simulation-optimization approach.” Water Resour. Manage., 19, 295–320.
Bray, B. S., Tsai, F. T.-C., Sim, Y., and Yeh, W. W.-G. (2007). “Model development and calibration of a saltwater intrusion model in southern California.” J. Am. Water Resour. Assoc., 43(5), 1329–1343.
Callison, J., Amabisco, M., Wilkins, A., and Nasseri, I. (1991). “Hydrogeology of Alamitos gap.” Los Angeles County Dept. of Public Works, Hydraulic/Water Conservation Division Technical Rep.
Carroll, D. L. (2004). “FORTRAN genetic algorithm (GA) driver.” Open source GA, http://cuaerospace.com/carroll/ga.html (June 6, 2004 ).
Emch, P. G., and Yeh, W. W.-G. (1998). “Management for conjunctive use of coastal surface water and groundwater.” J. Water Resour. Plann. Manage., 124(3), 129–139.
Finney, B. A., Samsuhadi, and Willis, R. (1992). “Quasi-three-dimensional optimization model of Jakarta Basin.” J. Water Resour. Plann. Manage., 118(1), 18–31.
Gorelick, S. M. (1983). “A review of distributed parameter groundwater management modeling methods.” Water Resour. Res., 19(2), 305–319.
Gorelick, S. M., Voss, C. I., Gill, P. E., Murray, W., Saunders, M. A., and Wright, M. H. (1984). “Aquifer reclamation design: The use of contaminant transport simulation combined with nonlinear programming.” Water Resour. Res., 20(2), 415–427.
Lin, H.-C. J., et al. (1997). “FEMWATER: A three-dimensional finite element computer model for simulating density-dependent flow and transport in variably saturated media.” Technical Rep. No. CHL-97-12, U.S. Army Engineer Research and Development Center, Waterways Experiment Station, Vicksburg, Miss.
Louie, P., Yeh, W. W.-G., and Hsu, N. S. (1984). “Multiobjective water resources management planning.” J. Water Resour. Plann. Manage., 110(1), 39–56.
Murtagh, B. A., and Saunders, M. A. (1995). “MINOS 5.4 user’s guide.” Technical Rep. No. SOL 83-20R, Dept. of Operations Research, Stanford Univ., Stanford, Calif.
Qahman, K., Abdelkader, L., Ouazar, D., Naji, A., and Cheng, A. H.-D. (2005). “Optimal and sustainable extraction of groundwater in coastal aquifers.” Stochastic Environ. Res. Risk Assess., 19, 99–110.
Reichard, E. G., and Johnson, T. A. (2005). “Assessment of regional management strategies for controlling seawater intrusion.” J. Water Resour. Plann. Manage., 131(4), 280–291.
Shamir, U., Bear, J., and Gamliel, A. (1984). “Optimal annual operation of a coastal aquifer.” Water Resour. Res., 20(4), 435–444.
Willis, R., and Finney, B. A. (1988). “Planning model for optimal control of saltwater intrusion.” J. Water Resour. Plann. Manage., 114(2), 163–178.
Willis, R., and Liu, P. (1984). “Optimization model for groundwater planning.” J. Water Resour. Plann. Manage., 110(3), 333–347.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 134 • Issue 2 • March 2008
Pages: 171 - 180
Copyright
© 2008 ASCE.
History
Received: Apr 24, 2006
Accepted: Apr 11, 2007
Published online: Mar 1, 2008
Published in print: Mar 2008
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