Water Resources Management

, Volume 32, Issue 2, pp 449–464 | Cite as

An Improved “Dynamic Control Operation Module” for Cascade Reservoirs

  • Zhongbo Zhang
  • Xiaoyan He
  • Simin Geng
  • Shuanghu Zhang
  • Liuqian Ding
  • Guangyuan Kan
  • Hui Li
  • Xiaoming Jiang
Article
  • 60 Downloads

Abstract

Reservoirs are one of the most efficient projects for water resources management, and also play an important role in flood control and conservation. Dynamic control of the reservoir flood limited water level (FLWL) is considered as an effective factor to ensure safety of the flood control during the flood season. The maximum allowed water level of cascade reservoirs is also a fundamental key element for implementing reservoir water level dynamic control operation. In this paper, we discussed and improved “Dynamic Control Operation Module for Cascade Reservoirs” (DCOMR). Therefore, a set of new formulas and new methodologies were proposed (NDCOMR) which considers intermediate variables forecast information, the release of the upstream reservoir and interval flow forecast information in effective lead times, which is applied to the dynamic operation of the maximum allowed water level of cascade reservoirs. The Bikou and Miaojiaba cascade reservoirs were selected as a case study. Based on numerical experiment results, the maximum allowed water level of cascade reservoirs at current time determined by NDCOMR was much safer than that determined by DCOMR. The NDCOMR is more rational and safer than DCOMR for flood control, without the need of reducing flood control standard.

Keywords

The flood limiting water level Flood control Joint operation Dynamic control 

Notes

Acknowledgements

This research was funded by Project: Flood Forecasting, Controlling and Flood Prevention Aided Software Development-Flood Control Early Warning Communication System and Flood Forecasting, Controlling and Flood Prevention Aided Software Development for Poyang Lake Area of Jiangxi Province (0628-136006104242, JZ0205A432013, SLXMB200902), and the IWHR Research & Development Support Program (JZ0145B052016) IWHR Scientific Research Projects, Specific Research of China Institute of Water Resources and Hydropower Research (Grant Nos. Fangji 1240).

References

  1. Al-Humoud JM, Esen I (2006) Approximate method for the estimation of Muskingum flood routing parameters. Water Resour Manag 20(6):979–990CrossRefGoogle Scholar
  2. Archibald TW, McKinnon KIM, Thomas LC (1997) An aggregate stochastic dynamic programming model of multi-reservoir systems. Water Resour Res 33(2):333–340CrossRefGoogle Scholar
  3. Bastian K, Markus P, Yeshenwatefa H, Schumann A (2010) Probability analysis of hydrological loads for design of flood control systems using copulas. J Hydrol Eng 15(5):360–369CrossRefGoogle Scholar
  4. Cao Y-Q, Han Y, Wang B-D (2008) Study on control scheme of reservoir limited water level based on water supply risk. In: Wireless communications, networking and mobile computing, 2008. WiCOM ‘08. 4th International Conference, pp 1–4Google Scholar
  5. Chen JH, Guo SL, Li Y, Liu P, Zhou YL (2013) Joint operation and dynamic control of flood limiting water levels for cascade reservoirs. Water Resour Manag 27:749–763CrossRefGoogle Scholar
  6. Diao YF, Wang BD (2010) Risk analysis of flood control operation mode with forecast information based on a combination of risk sources. Sci China Tech Sci 53:1949–1956CrossRefGoogle Scholar
  7. Liu P, Guo SL, Li W (2008) Optimal design of seasonal flood control water levels for the Three Gorges reservoir. IAHS Publish 319:270–278Google Scholar
  8. Liu P, Li L, Guo SL, Xiong LH, Zhang W, Zhang JW, Xu CY (2015) Optimal design of seasonal flood limited water levels and its application for the three gorges reservoir. J Hydrol 527:1045–1053Google Scholar
  9. Papathanasiou C, Serbis D, Mamassis N (2013) Flood mitigation at the downstream areas of a transboundary river. Water Util J 3:33–42Google Scholar
  10. Spiliotis MG, Bellos CV (2015) Flooding risk assessment in mountain rivers. Eur Water 51:33–49Google Scholar
  11. Walker WE, Loucks DP, Carr G (2015) Social responses to water management decisions. Environ Process 2:485–509CrossRefGoogle Scholar
  12. WCD (World Commission on Dams) (2000) Dams and development: a new framework for decision-making. Earthscan Publications Ltd, LondonGoogle Scholar
  13. Yun R, Singh VP (2008) Multiple duration limited water level and dynamic limited water level for flood control with implication on water supply. J Hydrol 354:160–170CrossRefGoogle Scholar
  14. Zhang YP, Wang GL, Peng Y, Zhou HC (2011) Risk analysis of dynamic control of reservoir limited water level by considering flood forecast error. Sci China Technol Sci 54(7):1888–1893CrossRefGoogle Scholar
  15. Zhou Y, Guo S, Liu P, Chongyu X (2014) Joint operation and dynamic control of flood limiting water levels for mixed cascade reservoir systems. J Hydrol 519:248–257CrossRefGoogle Scholar
  16. Zhou YL, Guo SL, Xu JJ, Zhao XF, Zhai LN (2015) Risk analysis for seasonal flood-limited water level under uncertainties. J Hydro Environ Res 9:569–581Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2017

Authors and Affiliations

  • Zhongbo Zhang
    • 1
  • Xiaoyan He
    • 1
  • Simin Geng
    • 1
  • Shuanghu Zhang
    • 1
  • Liuqian Ding
    • 1
  • Guangyuan Kan
    • 1
  • Hui Li
    • 1
  • Xiaoming Jiang
    • 1
  1. 1.State Key Laboratory of Simulation and Regulation of Water Cycle in River BasinChina Institute of Water Resources and Hydropower ResearchBeijingChina

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