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.
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© 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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