Applying Multiobjective Genetic Algorithm to Analyze the Conflict among Different Water Use Sectors during Drought Period
Publication: Journal of Water Resources Planning and Management
Volume 136, Issue 5
Abstract
Water deficits often occur during the drought season and may cause water conflicts among various water use sectors. The reservoir rule curve operation is commonly used to avoid extreme water shortage during droughts in Taiwan. When applying the rule curve operation, the water supply discounting ratio for different sectors implies a trade-off of water deficit impact among sectors. This study therefore develops a multiobjective water resource management model to evaluate the trade-off curve of water deficit impact between irrigation and public sectors to facilitate negotiation between the sectors for obtaining acceptable discounting ratios. The study uses the shortage index to assess water deficit impact. The proposed model integrates operating rules, the stepwise optimal water allocation model, and the convex hull multiobjective genetic algorithm to solve the multiobjective regional water allocation planning problem. The computed trade-off curve, noninferior solutions, provides relevant information to facilitate negotiating water-demand transfer. The results reveal that when decision makers prefer specified water use, the discounting ratio of another competing water use at the low buffer zone should be limited on the lower bound.
Get full access to this article
View all available purchase options and get full access to this article.
References
Cieniawski, S. E., Eheart, J. W., and Ranjithan, S. (1995). “Using genetic algorithms to solve a multiobjective groundwater monitoring problem.” Water Resour. Res., 31, 399–409.
Cohon, J. L., and Marks, D. H. (1977). “Review and evaluation of multiobjective programming techniques—Reply.” Water Resour. Res., 13, 693–694.
Feng, C. W., Liu, L. A., and Burns, S. A. (1997). “Using genetic algorithms to solve construction time-cost trade-off problems.” J. Comput. Civ. Eng., 11(3), 184–189.
Fredericks, J. W., Labadie, J. W., and Altenhofen, J. M. (1998). “Decision support system for conjunctive stream-aquifer management.” J. Water Resour. Plann. Manage., 124(2), 69–78.
Labadie, J. W. (2004). “Optimal operation of multireservoir systems: State-of-the-art review.” J. Water Resour. Plann. Manage., 130(2), 93–111.
Lund, J. R., and Israel, M. (1995). “Water transfers in water-resource systems.” J. Water Resour. Plann. Manage., 121(2), 193–204.
Lund, J. R., and Reed, R. U. (1995). “Drought water rationing and transferable rations.” J. Water Resour. Plann. Manage., 121(6), 429–437.
Prasad, T. D., and Park, N. S. (2004). “Multiobjective genetic algorithms for design of water distribution networks.” J. Water Resour. Plann. Manage., 130(1), 73–82.
Sun, Y. H., Yeh, W. W. G., Hsu, N. S., and Louie, P. W. F. (1995). “Generalized network algorithm for water-supply-system optimization.” J. Water Resour. Plann. Manage., 121(5), 392–398.
Tu, M. Y., Hsu, N. S., Tsai, F. T. C., and Yeh, W. W. G. (2008). “Optimization of hedging rules for reservoir operations.” J. Water Resour. Plann. Manage., 134(3), 3–13.
Tu, M. Y., Hsu, N. S., and Yeh, W. W. G. (2003). “Optimization of reservoir management and operation with hedging rules.” J. Water Resour. Plann. Manage., 129(2), 86–97.
Wei, C., and Hsu, N. (2008). “Multireservoir real-time operations for flood control using balanced water level index method.” J. Environ. Manage., 88, 1624–1639.
Yang, C., Chang, L., Yeh, C., and Chen, C. (2007). “Multiobjective planning of surface water resources by multiobjective genetic algorithm with constrained differential dynamic programming.” J. Water Resour. Plann. Manage., 133(6), 499–508.
Yang, S. L., Hsu, N. S., Louie, P. W. F., and Yeh, W. W. G. (1996). “Water distribution network reliability: Stochastic simulation.” J. Infrastruct. Syst., 2(2), 65–72.
Yeh, C. H., and Labadie, J. W. (1997). “Multiobjective watershed-level, planning of storm water detention systems.” J. Water Resour. Plann. Manage., 123(6), 336–343.
Information & Authors
Information
Published In
Copyright
© 2010 ASCE.
History
Received: May 12, 2009
Accepted: Dec 4, 2009
Published online: Dec 9, 2009
Published in print: Sep 2010
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.