Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Deriving Optimal Daily Reservoir Operation Scheme with Consideration of Downstream Ecological Hydrograph Through A Time-Nested Approach

  • 382 Accesses

  • 17 Citations

Abstract

The ecological flow requirement (EFR) during special life stages of species, for instance the fish spawning period, concerns not only the flow rate, but also daily changes in the flow rate. Therefore, it is more appropriate to optimize ecologically-friendly reservoir operation on a daily base. Directly formulating and solving a daily-based optimization model would involve a large number of decision variables as well as constraints, which may lead to unfavourable time consumption and unreliable solutions. This study proposes a time-nested approach to derive an optimal daily reservoir operation scheme with consideration of the downstream ecological hydrograph. It scales down the decision variables from monthly-base to 10-day base and finally to daily-base. The proposed method was applied to two cascaded reservoirs in the Yalong River in southwest China, where a daily ecological flow is required to conserve the habitats of an indigenous fish Schizothorax chongi (S. chongi). The results showed that the developed method could efficiently derive a daily optimal operational scheme with the consideration of downstream EFR for fish habitat conservation. In addition, the method greatly improves global searching ability in dealing with complex optimization problems.

This is a preview of subscription content, log in to check access.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

References

  1. Acreman M (2000) Managed flood releases from reservoirs: Issues and Guidance. Center for Ecology and Hydrology, UK. http://www.dams.org/docs/kbase/contrib/opt056.pdf. Accessed 13 Mar 2013

  2. Ban X (2011) Ecological flow requirement for Chinese sturgeon spawning habitat. J Hydraul Eng 42(1):47–55 (in Chinese)

  3. Bednarek AT, Hart DD (2005) Modifying dam operations to restore rivers: ecological responses to Tennessee River dam mitigation. Ecol Appl 15(3):997–1008

  4. Cardwell H, Jager HI, Sale MJ (1996) Designing instream flows to satisfy fish and human water needs. J Water Res PL ASCE 122(5):356–363

  5. Castro DM, Hughes RM, Callisto M (2013) Effects of flow fluctuations on the daily and seasonal drift of invertebrates in a tropical river. Ann Limnol-Int J Lim 49(03):169–177

  6. Chang FJ, Chen L (1998) Real-coded genetic algorithm for rule based flood control reservoir management. Water Resour Manag 12(3):185–198

  7. Chen Q, Chen D, Li R, Ma J, Blanckaert K (2013) Adapting the operation of two cascaded reservoirs for ecological flow requirement of a de-watered river channel due to diversion-type hydropower stations. Ecol Model 252:266–272

  8. Croke BFW, Ticehurst JL, Letcher RA, Norton JP, Newham LTH, Jakeman AJ (2007) Integrated assessment of water resources: Australian experiences. Water Resour Manag 21(1):351–373

  9. ECIDI–East China Investigation and Design Institute (2005) Report of environmental impact assessment on Jinping–II hydropower project. Hangzhou China (in Chinese)

  10. Gandolfi C, Guariso G, Togni D (1997) Optimal flow allocation in the Zambezi River system. Water Resour Manag 11(5):377–393

  11. Goldberg DE (1989) Genetic Algorithms in search, optimization and machine learning. Addison–Wesley Publishing Co Inc, Reading

  12. Goulter IC, Castensson RG (1988) Screening model for assessing ‘cost’ of minimum flow requirements in the Svartå River. Sweden Water Resour Manag 2(1):35–55

  13. Haas NA, O’Connor BL, Hayse JW, Bevelhimer MS, Endreny TA (2014) Analysis of daily peaking and run‐of‐river operations with flow variability metrics, considering subdaily to seasonal time scales. J Am Water Resour As 50(6):1622–1640

  14. Hakimi–Asiabar M, Ghodsypour SH, Kerachian R (2010) Deriving operating policies for multi–objective reservoir systems: application of self–learning genetic algorithm. Appl Soft Comput 10(4):1151–1153

  15. Harman C, Stewardson M (2005) Optimizing dam release rules to meet environmental flow targets. River Res Appl 21(2–3):113–129

  16. Homa ES, Vogel RM, Smith MP, Apse CD, Huber–Lee A, Sieber J (2005) An optimization approach for balancing human and ecological flow needs. In: EWRI 2005:Impacts of Global Climate Change, Proceedings of the 2005 World Water and Environmental Resources Congress Anchorage, Alaska

  17. Hu B, Cui B, Dong S, Zhai H, Liu Z (2009) Ecological water requirement (EWR) analysis of High Mountain and Steep Gorge (HMSG) river-application to Upper Lancang–Mekong river. Water Resour Manag 23(2):341–366

  18. Jager HI, Rose KA (2003) Designing optimal flow patterns for fall chinook salmon in a Central Valley river. N Am J Fish Manag 23:1–21

  19. Jones NE (2014) The dual nature of hydropeaking rivers: is ecopeaking possible? River Res Appl 30(4):521–526

  20. Labadie JW (2004) Optimal operation of multi reservoir systems: state–of–the–art review. J Water Res PL–ASCE 130(93):93–111

  21. Li R, Chen Q, Chen D (2011) Ecological hydrograph based on Schiozothoraxchongi habitat conservation in the dewatered river channel between Jinping cascaded dams. Sci China Technol Sci 54(1):54–63

  22. Oliveira R, Loucks D (1997) Operating rules for multi reservoir systems. Water Resour Res 33(4):839–852

  23. Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter BD, Sparks R, Stromberg J (1997) The natural flow regime: a new paradigm for riverine conservation and restoration. Bio Sci 47:769–784

  24. Richter BD, Baumgartner JV, Powell J, Braun DP (1996) A method for assessing hydrologic alteration within ecosystems. Conserv Biol 10:1163–1174

  25. Richter BD, Baumgartner JV, Wigington R, Braun DP (1997) How much water does a river need? Freshw Biol 37:231–249

  26. Sale MJ, Brill ED, Herrick EE (1982) An approach to optimizing reservoir operation for downstream aquatic resources. Water Resour Res 18(4):705–712

  27. Schaffer JD (1984) Some experiments in machine learning using vector evaluated genetic algorithms Ph.D. thesis Vanderbilt University Nashville TN

  28. Shiau JT, Wu FC (2006) Compromise programming methodology for determining in stream flow under multiobjective water allocation criteria. J Am Water Resour As 42(5):1179–1191

  29. Smith BT, Jager HI, Sale, MJ (2007) Optimization of hydropower resources: current practices and opportunities for improvement. ORNL/TM–2006/91 Oak Ridge National Laboratory

  30. Suen JP, Eheart JW (2006) Reservoir management to balance ecosystem and human needs: incorporating the paradigm of the ecological flow regime. Water Resour Res 42, W03417

  31. Suen JP, Eheart JW, Herricks EE, Chang FJ (2009) Evaluating the potential impact of reservoir operation on fish communities. J Water Res PL–ASCE 135(6):475–483

  32. U.S. Bureau of Reclamation (USBR) and U.S. Department of the Interior (USDOI) (1996) An Assessment of the Environmental Impact Statement on the Operations of the Gland Canyon Dam. U.S. General Accounting Office Report to Congressional Committees

  33. Wurbs RA (1993) Reservoir–System simulation and optimization models. J Water Res PL–ASCE 119(4):455–472

  34. Xia X, Yang Z, Wu Y (2009) Incorporating eco-environmental water requirements in integrated evaluation of water quality and quantity—a study for the Yellow River. Water Resour Manag 23(6):1067–1079

  35. Yang Z, Sun T, Cui B, Chen B, Chen G (2009) Environmental flow requirements for integrated water resources allocation in the Yellow River Basin China. Commun Nonlinear Sci 114(5):2469–2481

  36. Yeh W (1985) Reservoir management and operation models: a state-of-the-art review. Water Resour Res 121:1797–1818

Download references

Acknowledgments

This work is supported by National Natural Science Foundation of China (No. 51425902, No. 51109012, No. 51279196).

Author information

Correspondence to Qiuwen Chen.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Chen, D., Li, R., Chen, Q. et al. Deriving Optimal Daily Reservoir Operation Scheme with Consideration of Downstream Ecological Hydrograph Through A Time-Nested Approach. Water Resour Manage 29, 3371–3386 (2015). https://doi.org/10.1007/s11269-015-1005-z

Download citation

Keywords

  • Reservoir operation
  • Daily ecological flow requirement
  • Time-nested optimization
  • Fish habitat