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A New Evaluation for Water Transfer Optimal Schemes with the Consideration of Reliability, Stability, and Severity

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Abstract

To alleviate the water resources shortage in arid or semi-arid area, various water transfer projects have been constructed and put into operation over the last few decades. Apart from the available water, the allocation scheme also determines whether the water demands alongside can be satisfied well. Different from traditional evaluation without considering how often the failure occurs and how severe magnitude the failure may be when operating a scheme, this study proposes three indexes to evaluate scheme performance comprehensively, which are: (1) the satisfaction degree of a selected scheme (reliability); (2) the ability of the system to recover from a failure to satisfactory state (stability); and (3) the maximum damage of operating a scheme (severity). To illustrate the application of these evaluation indexes, an optimization model and an exponent describing differences among schemes are established, and then applied to the east route South-to-North Water Transfer project in China. The result shows that there exist tradeoffs among scheme’s benefits, which is described by reliability, stability, and severity. And with the increase of the exponent, the optimal scheme would consider deficit distribution more. In order to make the water transfer system with high reliability, high stability, and low severity, the exponent should be in the range of 1.0–2.0. These findings can be taken as the references to the operation of the water transfer projects.

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References

  • Afshar MH (2012) Large scale reservoir operation by constrained particle swarm optimization algorithms. J Hydro Environ Res 6(1):75–87

    Article  Google Scholar 

  • Barnes GW, Chung FI (1986) Operational planning for California water-system. J Water Resour Plan Manag-ASCE 112(1):71–86

    Article  Google Scholar 

  • Chen L, Chang FJ (2007) Applying a real-coded multi-population genetic algorithm to multi-reservoir operation. Hydrol Process 21(5):688–698

    Article  Google Scholar 

  • Cohon JL (1978) Multiobjective programming and planning. Academic Press, New York

    Google Scholar 

  • Guo XN, Hu TS et al (2012) Bilevel model for multi-reservoir operating policy in inter-basin water transfer-supply project. J Hydrol 424:252–263

    Article  Google Scholar 

  • Gupta J, 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

    Article  Google Scholar 

  • Hashimoto T, Stedinger JR et al (1982) Reliability, resiliency, and vulnerability criteria for water-resource system performance evaluation. Water Resour Res 18(1):14–20

    Article  Google Scholar 

  • Jothiprakash V, Arunkumar R (2014) Multi-reservoir optimization for hydropower production using NLP technique. KSCE J Civ Eng 18(1):344–354

    Article  Google Scholar 

  • Li FF, Shoemaker CA et al (2013) Estimating maximal annual energy given heterogeneous hydropower generating units with application to the three gorges system. J Water Resour Plan Manag-ASCE 139(3):265–276

    Article  Google Scholar 

  • Li FF, Shoemaker CA et al (2015) Hierarchical multi-reservoir optimization modeling for real-world complexity with application to the three gorges system. Environ Model Softw 69:319–329

    Article  Google Scholar 

  • Lingo (2017) http://www.lindo.com/.

  • Louati MH, Benabdallah S et al (2011) Application of a genetic algorithm for the optimization of a complex reservoir system in Tunisia. Water Resour Manag 25(10):2387–2404

    Article  Google Scholar 

  • Mahjouri N, Ardestani M (2010) A game theoretic approach for interbasin water resources allocation considering the water quality issues. Environ Monit Assess 167(1–4):527–544

    Article  Google Scholar 

  • Moeini R, Afshar MH (2009) Application of an ant colony optimization algorithm for optimal operation of reservoirs: a comparative study of three proposed formulations. Sci Iranica Trans a-Civil Eng 16(4):273–285

    Google Scholar 

  • Nikoo MR, Kerachian R et al (2012) An interval parameter model for cooperative inter-basin water resources allocation considering the water quality issues. Water Resour Manag 26(11):3329–3343

    Article  Google Scholar 

  • Oliveira R, Loucks DP (1997) Operating rules for multireservoir systems. Water Resour Res 33(4):839–852

    Article  Google Scholar 

  • Qin KL (2016) Optimal water resources regulation for jiangsu section of south-to-north water diversion east route project based on dynamic programming. Dissertation, China Agriculture University

  • Reis LFR, Walters GA et al (2005) Multi-reservoir operation planning using hybrid genetic algorithm and linear programming (GA-LP): an alternative stochastic approach. Water Resour Manag 19(6):831–848

    Article  Google Scholar 

  • Sabet MH, Coe JQ (1986) Models for water and power scheduling for the California-state-water-project. Water Resour Bull 22(4):587–596

    Article  Google Scholar 

  • Sadegh M, Mahjouri N et al (2010) Optimal inter-basin water allocation using crisp and fuzzy shapley games. Water Resour Manag 24(10):2291–2310

    Article  Google Scholar 

  • Sharma V, Jha R et al (2004) Optimal multi-reservoir network control by two-phase neural network. Electr Power Syst Res 68(3):221–228

    Article  Google Scholar 

  • Takeuchi K, Moreau DH (1974) Optimal control of multiunit interbasin water-resource systems. Water Resour Res 10(3):407–414

    Article  Google Scholar 

  • Wang Q, Zhou HC et al (2015) Optimal operation of bidirectional inter-basin water transfer-supply system. Water Resour Manag 29(9):3037–3054

    Article  Google Scholar 

  • Yurtal R, Seckin G et al (2005) Hydropower optimization for the lower Seyhan system in Turkey using dynamic programming. Water Int 30(4):522–529

    Article  Google Scholar 

  • Zhang P, Zhao M, Zheng CY (2006) Optimal allocation of water resources in the water import areas of the east route of the south-to-north water transfer region. J Econ Water Resour 28(5):88–94

    Google Scholar 

Download references

Acknowledgements

This research was supported by National Natural Science Foundation of China (Grant No.51409248), and Open Research Fund Program of State key Laboratory of Hydroscience and Engineering.

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Correspondence to Fang-Fang Li or Jun Qiu.

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Li, XY., Li, FF. & Qiu, J. A New Evaluation for Water Transfer Optimal Schemes with the Consideration of Reliability, Stability, and Severity. Water Resour Manage 31, 2823–2836 (2017). https://doi.org/10.1007/s11269-017-1665-y

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  • DOI: https://doi.org/10.1007/s11269-017-1665-y

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