Skip to main content

Advertisement

Springer Nature Link
Log in

Study on Reservoir Operation Model Based on Ecological Flow Calculation

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

To make the formulation of the ecological release countermeasures of the reservoir adapt to the flood and dry water coming from the river and the ecological flow guarantee objectives of the Ministry of Water Resources, the ecological regulation release countermeasures model of the reservoir is studied. Taking Baishi Reservoir on the Daling River as an example, the ecological flow calculation results of Tennant method, Texas method and the ecological flow guarantee target (fixed value method) of the Ministry of Water Resources are selected for ecological dispatching to build an ecological dispatching model with optimal water supply, power generation and ecological coordination. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the three methods are 8.20%, 20.21% and 11.62% less than the requirement to restore the flood limit water level. The average ecological water supply shortage are 16.39%, 14.40% and 10.96% less than the requirement to restore the flood limit water level. The average power generation of the fixed value method and the Texas method are 0.90% and 3.46% less than the requirement to restore the flood limit water level. The average power generation of the Tennant method is 3.73% more than the requirement to restore the flood limit water level. There is no requirement to restore the flood limit water level at the end of the dispatching period. The average annual water supply shortage of the reservoir by Tennant method are 19.91% and 10.69% lower than that by the constant value method and Texas method, the average non-flood season water shortage is 49.47% and 21.17% lower, the average annual power generation is 4.25% and 5.77% higher, and the average flood season power generation is 69.22% and 9.20% higher. At the end of the operation period, the reservoir water level does not need to restore the flood limit water level as much as possible, which can improve the utilization rate of the reservoir water resources. The operation mode of ecological water demand calculated by Tennant method can effectively combine the characteristics of incoming water to achieve the optimization of water supply, power generation and ecology.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

Data Availability

All authors made sure that all data and materials support our published claims and comply with field standards.

References

  • Bajany DM, Zhang L, Xu Y et al (2021) Optimisation approach toward water management and energy security in Arid/Semiarid regions. Environ Process 8:1455–1480

    Article  Google Scholar 

  • Chen Y, Wang M, Zhang Y et al (2023) Cascade hydropower system operation considering ecological flow based on different multi-objective genetic algorithms. Water Resour Manage

  • Cuevas E, Cienfuegos M, Zaldivar D et al (2013) A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Syst Appl 40(16):6374–6384

    Article  Google Scholar 

  • Dunbar MJ, Gustard A, Acreman MC (1998) Overseas approaches to setting river flow objectives. R and D Technical Report W6-161. Environmental Agency and NERC

  • Gu GY, Fang GH, Huang XF et al (2022) Research on reservoir operation based on the ecological flow process level. China Rural Water Hydropower 1:200–205

    Google Scholar 

  • Hou TJ, Gao Y (2019) Analysis of ecological water demand in Zishui River Channel. J China Hydrol 39(5):40–44+60

    Google Scholar 

  • Karaboga D (2005) An idea based on honey bee swarm for numerical optimization. Technical Report, Kayseri: Erciyes University

  • Kennedy J, Eberhart R (1995) Particle swarm optimization. In Proceedings of the 1995 IEEE international conference on neural networks, (4):1942–1948

  • Li Y, Lin J (2022) Calculation of minimum ecological flow in dewatering section of small hydropower stations: Taking Panxi cascade hydropower stations as an example. South-to-North Water Transfers Water Sci Technol 20(3):536–543

    Google Scholar 

  • Li ZY, Liu DF, Huang Q et al (2017) Study on the ecological flux of the Ziwu River in Hanjiang River based on several hydrological methods. J N China Univ Water Resour Electr Power (Natural Science Edition) 38(1):8–12

    Google Scholar 

  • Lin JQ, Li YK, Liu Y et al (2022) Recent progress in ecological operation and adaptive management for stimulating fish natural spawning. J Hydraul Eng 53(4):483–495

    Google Scholar 

  • Liu CM, Men BH, Song JX (2007) Ecological hydraulic radius method for estimation of ecological water demand in river channel. Prog Nat Sci 1:42–48

    Google Scholar 

  • Liu YY, Zhu JF, Zhao JS (2016) Development history and frontiers of river environmental flow research. J Hydroelectric Eng 35(12):23–34

    Google Scholar 

  • Liu RR, Zhao Y, Liu YB (2022) Dispatching scheme based on ecological water supply. Shaanxi Water Resour 1:65–67

    Google Scholar 

  • Ma MJ, Li Q, Zhou WR (2021) Study of carbon ecological compensation in Yellow River Basin based on carbon neutrality. Yellow River 7:1–7

    Google Scholar 

  • Matthews RC, Bao Y (1991) The Texas method of preliminary instream flow determination. Rivers 2(4):295–310

    Google Scholar 

  • Pastor AV, Ludwig F, Biemans H et al (2014) Accounting for environmental flow requirements in global water assessments. Hydrol Earth Syst Sci 18(12):5041–5059

    Article  Google Scholar 

  • Qian ZY (2001) Comprehensive Report on China's Strategy for Sustainable Development of Water Resources. Proceedings of the 2001 Annual Academic Conference of China Water Conservancy Society:11–26

  • Su H, Xu ZX, Li P et al (2022) Estimation of ecological baseflow with several hydrological methods at the Dahuangjiangkou reach of the Xijiang River. J Beijing Normal Univ (Natural Science) 58(2):269–276

    Google Scholar 

  • Tennant DL (1976) Instream flow regimens for fish, wildlife, recreation and related environmental resources. Fisheries 1(4):6–10

    Article  Google Scholar 

  • Tharme RE (2003) A global perspective on environmental flow assessment: emerging trends in the development and application of environmental flow methodologies for river. River Res Appl 19(5):397–441

    Article  Google Scholar 

  • Tong X, Liu J, Peng T et al (2022) Research on ecological flow of middle Yalong River based on hydrological methods. Yangtze River 53(8):58–64+93

    Google Scholar 

  • Wang WC, Lei GJ, Yin H et al (2015a) Optimal dispatch model of reservoir flood control based on SSO algorithm. Water Resour Power 33(4):48–51

    Google Scholar 

  • Wang WC, Lei GJ, Qiu L et al (2015b) Optimal operation of hydropower stations using social spider optimization algorithm and its performance analysis. J Hydroelectric Eng 34(10):80–87

    Google Scholar 

  • Wang HT, Jiao XY, Guo WX (2022) Study on ecological operation scheme of Qingshuihe River in Ningxia considering ecological water quantity. Water Resour Power 40(8):92–95

    Google Scholar 

  • Wei YT, Pang Y, Luo J (2014) Calculation and analysis about ecological baseflow in main stream of Qinghe river. J Water Resour Water Eng 25(6):151–155

    Google Scholar 

  • Xu ZX, Wu W, Yu SY (2016) Ecological baseflow: Progress and challenge. J Hydroelectric Eng 35(4):1–11

    Google Scholar 

  • You JJ, Xue ZC, Lin PF et al (2022) Study on the two-layer structure ecological operation at the watershed scale II: Ecological operation application in the Songhua River Watershed. J Hydraul Eng 53(1):11–19

    Google Scholar 

  • Yu JD, Zhang XY, Li J (2021) Calculation and analysis of ecological discharge in dehydration reach of long distance water diversion station. Water Conservancy Plann Des 12:160–163

    Google Scholar 

  • Zhang XY, Yu JD, Zhang R et al (2022) Study on ecological discharge of the upper Bailong River based on various hydrological methods. Water Conservancy Plann Des 6:45–49

    Google Scholar 

  • Zhao LL (2020) Analysis and study on ecological water use regulation under Baishi reservoir dam. Water Conservancy Tech Superv 6:161–164

    Google Scholar 

  • Zheng ZH, Zhang ZZ, Huang Q et al (2010) Improvement and application on ecological water requirement Tennant method. J Sichuan Univ (Engineering Science Edition) 42(2):34–57

    Google Scholar 

Download references

Funding

Key Scientific and Technological Problems in Henan Province (No:232102321140), Shandong Water Transfer Project Operation and Maintenance Center Cooperation Project (No: 37000000025002920210100 001), Simulation of Economic and Ecological Effects of National Water Network and Study on Its Sustainability (No: 2021YFC3200205), the Project of key science and technology of the Henan province (No: 202102310259), Henan province university scientific and technological innovation team (No: 18IRTSTHN009).

Author information

Authors and Affiliations

  1. College of Water Resources, Henan Key Laboratory of Water Resources Conservation and Intensive Utilization in the Yellow River Basin, North China University of Water Resources and Electric Power, Zhengzhou, 450046, People’s Republic of China

    Guanjun Lei & Wenchuan Wang

  2. Water Resources Research Institute, China Institute of Water Resources and Hydropower Research, State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing, 100038, People’s Republic of China

    Junxian Yin, Changshun Liu & Hao Wang

Authors
  1. Guanjun Lei
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Junxian Yin
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Wenchuan Wang
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Changshun Liu
    View author publications

    You can also search for this author inPubMed Google Scholar

  5. Hao Wang
    View author publications

    You can also search for this author inPubMed Google Scholar

Contributions

Guanjun Lei: Conceptualization, Methodology, Writing-original draft. Junxian Yin: Investigation, Writing-original draft preparation. Wenchuan Wang: Formal analysis and data collection. Changshun Liu: Writing and editing-original draft. Hao Wang: Formal analysis.

Corresponding author

Correspondence to Guanjun Lei.

Ethics declarations

Ethical Approval

Not applicable.

Consent to Participate

All authors gave explicit consent to participate in this work.

Consent to Publish

All authors gave explicit consent to publish this manuscript.

Competing Interests

All authors gave explicit consent to publish this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lei, G., Yin, J., Wang, W. et al. Study on Reservoir Operation Model Based on Ecological Flow Calculation. Water Resour Manage 37, 3543–3562 (2023). https://doi.org/10.1007/s11269-023-03513-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-023-03513-0

Keywords