IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i17p7475-d1466774.html
   My bibliography  Save this article

An Improved Aggregation–Decomposition Optimization Approach for Ecological Flow Supply in Parallel Reservoir Systems

Author

Listed:
  • Inkyung Min

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Nakyung Lee

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Sanha Kim

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Yelim Bang

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Juyeon Jang

    (Department of Civil, Environmental and Plant Engineering, Konkuk University, Seoul 05029, Republic of Korea)

  • Kichul Jung

    (Department of Planning and Strategy, Korea Environment Institute, Sejong 30147, Republic of Korea)

  • Daeryong Park

    (Department of Civil and Environmental Engineering, Konkuk University, Seoul 05029, Republic of Korea)

Abstract

The efficient operation of multi-reservoirs is highly beneficial for securing supply for prevailing demand and ecological flow. This study proposes a monthly hedging rule-based aggregation–decomposition model for optimizing a parallel reservoir system. The proposed model, which is an aggregated hedging rule for ecological flow (AHRE), uses external optimization to determine the total release of the reservoir system based on improved hedging rules—the optimization model aims to minimize water demand and ecological flow deficits. Additionally, inner optimization distributes the release to individual reservoirs to maintain equal reservoir storage rates. To verify the effectiveness of the AHRE, a standard operation policy and transformed hedging rules were selected for comparison. Three parallel reservoirs in the Naesung Stream Basin in South Korea were selected as a study area. The results of this study demonstrate that the AHRE is better than the other two methods in terms of supplying water in line with demand and ecological flow. In addition, the AHRE showed relatively stable operation results with small water-level fluctuations, owing to the application of improved hedging rules and a decomposition method. The results indicate that the AHRE has the capacity to improve downstream river ecosystems while maintaining human water use and provide a superior response to uncertain droughts.

Suggested Citation

  • Inkyung Min & Nakyung Lee & Sanha Kim & Yelim Bang & Juyeon Jang & Kichul Jung & Daeryong Park, 2024. "An Improved Aggregation–Decomposition Optimization Approach for Ecological Flow Supply in Parallel Reservoir Systems," Sustainability, MDPI, vol. 16(17), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7475-:d:1466774
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/17/7475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/17/7475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Iman Ahmadianfar & Reza Zamani, 2020. "Assessment of the hedging policy on reservoir operation for future drought conditions under climate change," Climatic Change, Springer, vol. 159(2), pages 253-268, March.
    2. Yi-min Wang & Jian-xia Chang & Qiang Huang, 2010. "Simulation with RBF Neural Network Model for Reservoir Operation Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2597-2610, September.
    3. Muhammad Usman Rashid & Abid Latif & Muhammad Azmat, 2018. "Optimizing Irrigation Deficit of Multipurpose Cascade Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1675-1687, March.
    4. Shih, Jhih-Shyang & ReVelle, Charles, 1995. "Water supply operations during drought: A discrete hedging rule," European Journal of Operational Research, Elsevier, vol. 82(1), pages 163-175, April.
    5. Arash Azari & Saeid Hamzeh & Saba Naderi, 2018. "Multi-Objective Optimization of the Reservoir System Operation by Using the Hedging Policy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(6), pages 2061-2078, April.
    6. Zhe Yang & Kan Yang & Hu Hu & Lyuwen Su, 2019. "The Cascade Reservoirs Multi-Objective Ecological Operation Optimization Considering Different Ecological Flow Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 207-228, January.
    7. He, Shaokun & Guo, Shenglian & Yin, Jiabo & Liao, Zhen & Li, He & Liu, Zhangjun, 2022. "A novel impoundment framework for a mega reservoir system in the upper Yangtze River basin," Applied Energy, Elsevier, vol. 305(C).
    8. J. Shiau, 2003. "Water Release Policy Effects on the Shortage Characteristics for the Shihmen Reservoir System during Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 17(6), pages 463-480, December.
    9. K. Deep & Krishna Singh & M. Kansal & C. Mohan, 2009. "Management of Multipurpose Multireservoir Using Fuzzy Interactive Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 2987-3003, November.
    10. Iman Ahmadianfar & Omid Bozorg-Haddad & Xuefeng Chu, 2019. "Optimizing Multiple Linear Rules for Multi-Reservoir Hydropower Systems Using an Optimization Method with an Adaptation Strategy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4265-4286, September.
    11. Kevin E. Trenberth & Aiguo Dai & Gerard van der Schrier & Philip D. Jones & Jonathan Barichivich & Keith R. Briffa & Justin Sheffield, 2014. "Global warming and changes in drought," Nature Climate Change, Nature, vol. 4(1), pages 17-22, January.
    12. Mike Spiliotis & Luis Mediero & Luis Garrote, 2016. "Optimization of Hedging Rules for Reservoir Operation During Droughts Based on Particle Swarm Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(15), pages 5759-5778, December.
    13. Yousif H. Al-Aqeeli & Omar M. A Mahmood Agha, 2020. "Optimal Operation of Multi-reservoir System for Hydropower Production Using Particle Swarm Optimization Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3099-3112, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beshavard, Mahdi & Adib, Arash & Ashrafi, Seyed Mohammad & Kisi, Ozgur, 2022. "Establishing effective warning storage to derive optimal reservoir operation policy based on the drought condition," Agricultural Water Management, Elsevier, vol. 274(C).
    2. Jenq-Tzong Shiau & Yen-Ning Hung & Huei-Er Sie, 2018. "Effects of Hedging Factors and Fuzziness on Shortage Characteristics During Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1913-1929, March.
    3. Jenq-Tzong Shiau & Hsu-Hui Wen & I-Wen Su, 2021. "Comparing Optimal Hedging Policies Incorporating Past Operation Information and Future Hydrologic Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2177-2196, May.
    4. J. Shiau & H. Lee, 2005. "Derivation of Optimal Hedging Rules for a Water-supply Reservoir through Compromise Programming," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(2), pages 111-132, April.
    5. Seung Beom Seo & Young-Oh Kim & Shin-Uk Kang, 2019. "Time-Varying Discrete Hedging Rules for Drought Contingency Plan Considering Long-Range Dependency in Streamflow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2791-2807, June.
    6. A. J. Adeloye & B.-S. Soundharajan & C. S. P. Ojha & R. Remesan, 2016. "Effect of Hedging-Integrated Rule Curves on the Performance of the Pong Reservoir (India) During Scenario-Neutral Climate Change Perturbations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 445-470, January.
    7. A. Adeloye & B.-S. Soundharajan & C. Ojha & R. Remesan, 2016. "Effect of Hedging-Integrated Rule Curves on the Performance of the Pong Reservoir (India) During Scenario-Neutral Climate Change Perturbations," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 445-470, January.
    8. Feng, Zhong-kai & Niu, Wen-jing & Wang, Wen-chuan & Zhou, Jian-zhong & Cheng, Chun-tian, 2019. "A mixed integer linear programming model for unit commitment of thermal plants with peak shaving operation aspect in regional power grid lack of flexible hydropower energy," Energy, Elsevier, vol. 175(C), pages 618-629.
    9. Linghui Guo & Yuanyuan Luo & Yao Li & Tianping Wang & Jiangbo Gao & Hebing Zhang & Youfeng Zou & Shaohong Wu, 2023. "Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    10. Daniel Cooley & Steven M. Smith, 2022. "Center Pivot Irrigation Systems as a Form of Drought Risk Mitigation in Humid Regions," NBER Chapters, in: American Agriculture, Water Resources, and Climate Change, pages 135-171, National Bureau of Economic Research, Inc.
    11. Muhammad Amin & Mobushir Riaz Khan & Sher Shah Hassan & Muhammad Imran & Muhammad Hanif & Irfan Ahmad Baig, 2023. "Determining satellite-based evapotranspiration product and identifying relationship with other observed data in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 23-39, January.
    12. Wang, Han & Xiang, Youzhen & Liao, Zhenqi & Wang, Xin & Zhang, Xueyan & Huang, Xiangyang & Zhang, Fucang & Feng, Li, 2024. "Integrated assessment of water-nitrogen management for winter oilseed rape production in Northwest China," Agricultural Water Management, Elsevier, vol. 298(C).
    13. Thibaut Cuvelier & Pierre Archambeau & Benjamin Dewals & Quentin Louveaux, 2018. "Comparison Between Robust and Stochastic Optimisation for Long-term Reservoir Management Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(5), pages 1599-1614, March.
    14. Sufia Bajelani & Saeid Shabanlou & Fariborz Yosefvand & Mohammad Ali Izadbakhsh & Ahmad Rajabi, 2024. "Optimal Exploitation of Water Resources by Using New Multi-Objective Reptile Search Algorithm (MORSA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(12), pages 4711-4734, September.
    15. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    16. Kobra Rahmati & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2021. "Application of the Grasshopper Optimization Algorithm (GOA) to the Optimal Operation of Hydropower Reservoir Systems Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4325-4348, October.
    17. Rahim Zahedi & Reza Eskandarpanah & Mohammadhossein Akbari & Nima Rezaei & Paniz Mazloumin & Omid Noudeh Farahani, 2022. "Development of a New Simulation Model for the Reservoir Hydropower Generation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(7), pages 2241-2256, May.
    18. Xiang Zeng & Tiesong Hu & Xuning Guo & Xinjie Li, 2014. "Water Transfer Triggering Mechanism for Multi-Reservoir Operation in Inter-Basin Water Transfer-Supply Project," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1293-1308, March.
    19. X. Zhang & Y. Yamaguchi, 2014. "Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 2129-2145, December.
    20. Jinsoo Hwang & Hyunjoon Kim, 2019. "Consequences of a green image of drone food delivery services: The moderating role of gender and age," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 872-884, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7475-:d:1466774. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.