Abstract
The optimal operation of an interbasin water transfer multireservoir system (IWTMS) is more complicated than a general one-basin multireservoir system because water release and water transfer occur simultaneously. Previous studies primarily employed reservoir zoning and rule curves to deal with the relationship between reservoir water release and water transfer, and the operating priorities for water release and water transfer are established by decision-makers. However, these priorities may be somewhat subjective and result in suboptimal operation of the entire system. To overcome this shortcoming, a genetic algorithm (GA)-based optimization model was developed to endeavor to get the optimal operation of an IWTMS. The optimization model consists of a GA and a simulation process based on water balance equation, and was applied to a typical IWTMS in Rizhao City, Shandong Province, China. The results showed that the GA was effective and efficient on solving the optimization problem of IWTMSs, and the reliability of the system’s water supply increased from 70.6 to 88.4% due to water transfer and could increase further to 96.4% by implementing optimization.
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References
Choudhari SA, Raj AA (2010) Multiobjective multireservoir operation in fuzzy environment. Water Resour Manag 24:2057–2073. https://doi.org/10.1007/s11269-009-9538-7
Crookston BM, Tullis BP (2013) Effects of inflow uncertainty on the performance of multireservoir systems. J Irrig Drain Eng 139:363–370. https://doi.org/10.1061/(ASCE)IR.1943-4774
Dariane AB, Karami F (2014) Deriving hedging rules of multi-reservoir system by online evolving neural networks. Water Resour Manag 28:3651–3665. https://doi.org/10.1007/s11269-014-0693-0
Fayaed SS, El-Shafie A, Jaafar O (2013) Reservoir-system simulation and optimization techniques. Stoch Environ Res Risk Assess 27:1751–1772. https://doi.org/10.1007/s00477-013-0711-4
Garousi-Nejad I, Bozorg-Haddad O, Loáiciga HA (2016) Modified firefly algorithm for solving multireservoir operation in continuous and discrete domains. J Water Resour Plan Manag 142:04016029. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000644
Goldberg DE, Holland JH (1988) Genetic algorithms and machine learning. Mach Learn
Goor Q, Kelman R, Tilmant A (2011) Optimal multipurpose-multireservoir operation model with variable productivity of hydropower plants. J Water Resour Plan Manag 137:258–267. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000117
Guo X, Hu T, Zhang T, Lv Y (2012) Bilevel model for multi-reservoir operating policy in inter-basin water transfer-supply project. J Hydrol 424–425:252–263. https://doi.org/10.1016/j.jhydrol.2012.01.006
Hinçal O, Altan-Sakarya AB, Ger AM (2011) Optimization of multireservoir systems by genetic algorithm. Water Resour Manag 25:1465–1487. https://doi.org/10.1007/s11269-010-9755-0
Holland JH (1975) Adaptation in natural and artificial systems. Sgart Newsl. https://doi.org/10.1007/s11096-006-9026-6
Hu S, Wang Z, Wang Y, Zhang L (2010) Total control-based unified allocation model for allowable basin water withdrawal and sewage discharge. Sci China Technol Sci 53:1387–1397. https://doi.org/10.1007/s11431-010-0155-8
Jafarzadegan K, Abed-Elmdoust A, Kerachian R (2014) A stochastic model for optimal operation of inter-basin water allocation systems: a case study. Stoch Environ Res Risk Assess 28:1343–1358. https://doi.org/10.1007/s00477-013-0841-8
Jiang H, Yu Z, Mo C (2015) Reservoir flood season segmentation and optimal operation of flood-limiting water levels. J Hydrol Eng 20:05014035. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001151
Jothiprakash V, Arunkumar R (2014) Multi-reservoir optimization for hydropower production using NLP technique. KSCE J Civ Eng 18:344–354. https://doi.org/10.1007/s12205-014-0352-2
Karamouz M, Mojahedi SA, Ahmadi A (2010) Interbasin water transfer: economic water quality-based model. J Irrig Drain Eng 136:90–98. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000140
Kim T, Heo J (2004) Multireservoir system optimization using multi-objective genetic algorithms. In: Critical transitions in water and environmental resources management. American Society of Civil Engineers, Reston, VA, pp 1–10
Kumphon B (2013) Genetic algorithms for multi-objective optimization: application to a multi-reservoir system in the Chi River Basin, Thailand. Water Resour Manag 27:4369–4378. https://doi.org/10.1007/s11269-013-0416-y
Kundell JE (1988) Interbasin water transfers in riparian states: a case study of georGIA. JAWRA J Am Water Resour Assoc. https://doi.org/10.1111/j.1752-1688.1988.tb00883.x
Labadie JW, Asce M (2004) Optimal operation of multireservoir systems: state-of-the-art review. J Water Resour Plan Manag 130:93–111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93)
Liu X, Guo S, Liu P et al (2011) Deriving optimal refill rules for multi-purpose reservoir operation. Water Resour Manag. https://doi.org/10.1007/s11269-010-9707-8
Lund JR (2015) Integrating social and physical sciences in water management. Water Resour Res 51:1–14. https://doi.org/10.1016/0022-1694(68)90080-2
Millia J, Delhi N, Bonin O, Rousseaux F (2000) Multireservoir systems optimization using genetic algorithms: Case study. J Comput Civ Eng 14:255–263
Oliveira R, Loucks DP, Loucks P, Loucks DP (1997) Operating rules for multireservoir systems. Water Resour Res 33:839–852. https://doi.org/10.1029/96WR03745
Ostadrahimi L, Mariño MA, Afshar A (2012) Multi-reservoir operation rules: multi-swarm pso-based optimization approach. Water Resour Manag 26:407–427. https://doi.org/10.1007/s11269-011-9924-9
Peng AB, Peng Y, Zhou HC, Zhang C (2014) Multi-reservoir joint operating rule in inter-basin water transfer-supply project. Sci China Technol Sci 58:123–137. https://doi.org/10.1007/s11431-014-5641-y
Seifollahi-Aghmiuni S, Haddad OBOB, Loáiciga HA (2016) Development of a sample multiattribute and multireservoir system for testing operational models. J Irrig Drain Eng 142:1–5. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000908
Tic EI, Popa B, Popa R (2017) Annual performance estimation of a multireservoir system including a pumped storage plant for the mean hydrological year. J Energy Eng 143:1–10. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000489
Vijay Kumar V, Rao BV, Mujumdar PP (1996) Optimal operation of a multibasin reservoir system. Sadhana 21:487–502. https://doi.org/10.1007/BF02745571
Wang Z, Wu J, Cheng L et al (2018) Regional flood risk assessment via coupled fuzzy c-means clustering methods: an empirical analysis from China’s Huaihe River Basin. Nat Hazards. https://doi.org/10.1007/s11069-018-3325-9
Ye A, Duan Q, Chu W et al (2014) The impact of the south-north water transfer project (CTP)’s central route on groundwater table in the Hai River basin, north China. Hydrol Process. https://doi.org/10.1002/hyp.10081
You J-YJ-Y, Cai X (2006) Hedging rule and its relevance to decision making in reservoir operation. World Environ Water Resour Congr 2006:1–10. https://doi.org/10.1061/40856(200)224
You J-Y, Cai X (2008) Hedging rule for reservoir operations: 1. A theoretical analysis. Water Resour Res. https://doi.org/10.1029/2006wr005481
Zargar M, Samani HMV, Haghighi A (2016) Optimization of gated spillways operation for flood risk management in multi-reservoir systems. Nat Hazards 82:299–320. https://doi.org/10.1007/s11069-016-2202-7
Acknowledgements
This study was supported by the National Key Research and Development Program of China (2017YFC0403504) and the National Science Foundation of China (51579064) and Technology demonstration project of Ministry of Water Resources of China (SF-201803). The authors thank the editors and the anonymous reviewers for their comments, which helped improve the quality of the paper.
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This article is a part of a Topical Collection in Environmental Earth Sciences on Climate Effects on Water Resources, edited by Drs. Zongzhi Wang and Yanqing Lian.
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Liu, K., Wang, Z., Cheng, L. et al. Optimal operation of interbasin water transfer multireservoir systems: an empirical analysis from China. Environ Earth Sci 78, 238 (2019). https://doi.org/10.1007/s12665-019-8242-z
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DOI: https://doi.org/10.1007/s12665-019-8242-z