Optimization of Water Diversion Based on Reservoir Operating Rules: Analysis of the Biliu River Reservoir, China
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VIEW THE REPLYPublication: Journal of Hydrologic Engineering
Volume 19, Issue 2
Abstract
Interbasin water-transfer projects are constructed to solve regional water-shortage problems. This study attempts to develop a set of water-diversion strategies to assist in the decision-making process of effectively diverting the water. The reservoir operation rule curves are improved by considering water-diversion rule curves that consist of hydrological-stage and water-level factors. A set of water-diversion strategies consisting of diversion rule curves, diversion flows, and supply rules is then developed to guide the actual water diversion. To minimize total water supply shortages of the urban, agricultural, and ecological water demands, the optimization model is constructed and the variables of diversion strategy are optimized by genetic algorithm. Furthermore, three scenarios including scenarios of no water diversion, water diversion with constant flow, and diversion with strategy are used to better understand the advantages of applying diversion strategies. The authors present a case study for water-diversion operation of the Biliu River reservoir in China. The results demonstrate that the proposed approach will help the reservoir’s managers to effectively divert the water.
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Acknowledgments
This study was funded by the National Key Basic Research Program of China (973 Program) (Grant No. 2013CB036400), National Natural Science Foundation of China (Grant Nos. 51279021 and 51079014), and the Major Science and Technology Program for Water Pollution Control and Treatment (Grant No. 2012ZX07205005). The authors would like to thank the editors and reviewers for their valuable comments and suggestions.
References
Ahmed, J. A., and Sarma, A. K. (2005). “Genetic algorithm for optimal operating policy of a multipurpose reservoir.” Water Resour. Manage., 19(2), 145–161.
Azevedo, L. G. T., et al. (2005). Transferencia de agua entre bacias hidrograficas, Serie Agua Brasil, Vol. 7, World Bank, Brasilia DF, Brazil (in Portuguese).
Biliu River Reservoir Administration. (2005). Biliu River reservoir operation manual, Dalian, China.
Carvalho, R. C., and Magrini, A. (2006). “Conflicts over water resource management in Brazil: A case study of inter-basin transfers.” Water Resour. Manage., 20(2), 193–213.
Chang, F. J., Chen, L., and Chang, L. C. (2005). “Optimizing the reservoir operating rule curves by genetic algorithms.” Hydrol. Process., 19(11), 2277–2289.
Chang, L. C. (2008). “Guiding rational reservoir flood operation using penalty-type genetic algorithm.” J. Hydrol., 354(1–4), 65–74.
Chang, L. C., Chang, F. J., Wang, K. W., and Dai, S. Y. (2010). “Constrained genetic algorithms for optimizing multi-use reservoir operation.” J. Hydrol., 390(1–2), 66–74.
de Andrade, J. G. P., Barbosa, P. S. F., Souza, L. C. A., and Makino, D. L. (2011). “Interbasin water transfers: The Brazilian experience and international case comparisons.” Water Resour. Manage., 25(8), 1915–1934.
Dyrnes, G. V., and Vatn, A. (2005). “Who owns the water? A study of a water conflict in the Valley of Ixtlahuaca, Mexico.” Water Pol., 7(3), 295–312.
Fu, G., Butler, D., and Khu, S. T. (2008). “Multiple objective optimal control of integrated urban wastewater systems.” Environ. Model. Soft., 23(2), 225–234.
Fu, G., and Kapelan, Z. (2011). “Fuzzy probabilistic design of water distribution networks.” Water Resour. Res., 47(5), W05538.
Gupta, J., and van der Zaag, P. (2008). “Interbasin water transfers and integrated water resources management: Where engineering, science and politics interlock.” Phys. Chem. Earth, 33(1–2), 28–40.
Holland, J. H. (1975). Adaptation in natural and artificial systems, University of Michigan Press, Ann Arbor, MI.
Jain, S. K., Reddy, N. S. R. K., and Chaube, U. C. (2005). “Analysis of a large inter-basin water transfer system in India.” Hydrol. Sci. J., 50(1), 125–137.
Li, X. S. (2009). “Research on operation decision-making and management pattern in inter-basin water transfer system.” Doctoral dissertation, Dalian Univ. of Technology, Dalian, China.
Lund, J. R., and Reed, R. U. (1995). “Drought water rationing and transferable rations.” J. Water Resour. Plann. Manage., 429–437.
Ma, J., Hoekstra, A. Y., Wang, H., Chapagain, A. K., and Wang, D. X. (2006). “Virtual versus real water transfers within China.” Philos. Trans. R. Soc., 361(1469), 835–842.
Merabtene, T., Kawamura, A., Jinno, K., and Olsson, J. (2002). “Risk assessment for optimal drought management of an integrated water resources system using a genetic algorithm.” Hydrol. Process., 16(11), 2189–2208.
Muller, M. (1999). “Interbasin water sharing: A South African perspective.” Proc., Int. Workshop, Paris, 25–27 April 1999, Technical Documents in Hydrology No. 28. International Hydrological Program—V. UNESCO, Paris, 61–70.
Oliveira, R., and Loucks, D.P. (1997). “Operating rules for multireservoir systems.” Water Resour. Res., 33(4), 839–852.
Sadegh, M., Mahjouri, N., and Kerachian, R. (2010). “Optimal inter-basin water allocation using crisp and fuzzy Shapley games.” Water Resour. Manage., 24(10), 2291–2310.
Simonovic, S. P., and Nirupama (2005). “A spatial multi-objective decision-making under uncertainty for water resources management.” J. Hydroinf., 7(2), 117–133.
Suen, J. P., and Eheart, J. W. (2006). “Reservoir management to balance ecosystem and human needs: Incorporating the paradigm of the ecological flow regime.” Water Resour. Res., 42(3), W03417.
Tennant, D. L. (1976). “Instream flow regimes for fish, wildlife, recreation and related environmental resources.” Fish., 1(4), 6–10.
Tilmant, A., Beevers, L., and Muyunda, B. (2010). “Restoring a flow regime through the coordinated operation of a multireservoir system: The case of the Zambezi River basin.” Water Resour. Res., 46(7), W07533.
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., 3–13.
Weiner, D., and Arie, B. Z. (1982). “A stochastic dynamic programing model for the operation of the Mediterranean–Dead Sea Project.” Water Resour. Res., 18(4), 729–734.
Yin, X. A., Yang, Z. F., Yang, W., Zhao, Y. W., and Chen, H. (2010). “Optimized reservoir operation to balance human and riverine ecosystem needs: Model development, and a case study for the Tanghe reservoir, Tang river basin, China.” Hydrol. Process., 24(4), 461–471.
Zhang, C., Shoemaker, C. A., Woodbury, J. D., Cao, M. L., and Zhu, X. P. (2013). “Impact of human activities on stream flow in the Biliu River basin, China.” Hydrol. Processes, 27(17), 2509–2523.
Zhang, C., Wang, G. L., Peng, Y., Tang, G. L., and Liang, G. H. (2012). “A negotiation-based multi-objective, multi-party decision-making model for inter-basin water transfer scheme optimization.” Water Resour. Manage., 26(14), 4029–4038.
Zhao, J., Cai, X., and Wang, Z. (2011). “Optimality conditions for a two-stage reservoir operation problem.” Water Resour. Res., 47(8), W08503.
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© 2014 American Society of Civil Engineers.
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Received: Sep 1, 2012
Accepted: Feb 6, 2013
Published online: Feb 9, 2013
Discussion open until: Jul 9, 2013
Published in print: Feb 1, 2014
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