IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i1d10.1007_s10668-021-02081-w.html
   My bibliography  Save this article

Design of optimal environmental flow regime at downstream of multireservoir systems by a coupled SWAT-reservoir operation optimization method

Author

Listed:
  • Mahdi Sedighkia

    (James Cook University)

  • Asghar Abdoli

    (Environmental Science Research Institute)

Abstract

The present study proposes an integrated framework to optimize environmental flow of the multireservoir systems in which a rainfall-runoff model and a novel form of the reservoir operation optimization are linked. Soil and water assessment tool was utilized as the rainfall-runoff model to forecast inflow of the reservoir. Then, outputs of the rainfall-runoff model were used in the optimization model. Ideal environmental flow regime was considered as the target of the environmental flow in the optimization model based on the outputs of the instream flow incremental methodology proposed by the previous studies in the case study. Moreover, minimum environmental flow regime in the optimization model was defined using penalty function method. Evolutionary algorithms were utilized to optimize the reservoir operation. Then, the performance of the algorithms was assessed by different measurement indices. Finally, the fuzzy technique of order preference similarity to the ideal solution was applied to select the best algorithm. Based on the results in the case study, the proposed framework is properly able to optimize environmental flow regime in the multireservoir system. Measuring the performance of the optimization system indicated that average reliability index is 70% for supplying environmental flow. Moreover, the optimization system is able to minimize storage loss and water supply loss simultaneously. The particle swarm optimization is the best algorithm to optimize environmental flow regime in the case study. Using the proposed method is recommendable to minimize negotiations between stakeholders and environmental managers that might provide a fair balance between environmental requirements and water demand.

Suggested Citation

  • Mahdi Sedighkia & Asghar Abdoli, 2023. "Design of optimal environmental flow regime at downstream of multireservoir systems by a coupled SWAT-reservoir operation optimization method," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 834-854, January.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:1:d:10.1007_s10668-021-02081-w
    DOI: 10.1007/s10668-021-02081-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-021-02081-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-021-02081-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kassahun Birhanu & Tena Alamirew & Megersa Olumana Dinka & Semu Ayalew & Dagnachew Aklog, 2014. "Optimizing Reservoir Operation Policy Using Chance Constraint Nonlinear Programming for Koga Irrigation Dam, Ethiopia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 4957-4970, November.
    2. Ramesh Teegavarapu & Slobodan Simonovic, 2002. "Optimal Operation of Reservoir Systems using Simulated Annealing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(5), pages 401-428, October.
    3. Chun-Tian Cheng & Wen-Chuan Wang & Dong-Mei Xu & K. Chau, 2008. "Optimizing Hydropower Reservoir Operation Using Hybrid Genetic Algorithm and Chaos," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(7), pages 895-909, July.
    4. Mohammad Ehteram & Hojat Karami & Sayed Farhad Mousavi & Saaed Farzin & Alcigeimes B. Celeste & Ahmad-El Shafie, 2018. "Reservoir Operation by a New Evolutionary Algorithm: Kidney Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4681-4706, November.
    5. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    6. Ciobanu Dumitru & Vasilescu Maria, 2013. "Advantages and Disadvantages of Using Neural Networks for Predictions," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 444-449, May.
    7. 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.
    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. Bin Xu & Ping-An Zhong & Xinyu Wan & Weiguo Zhang & Xuan Chen, 2012. "Dynamic Feasible Region Genetic Algorithm for Optimal Operation of a Multi-Reservoir System," Energies, MDPI, vol. 5(8), pages 1-17, August.
    2. Ludovic Gaudard & Jeannette Gabbi & Andreas Bauder & Franco Romerio, 2016. "Long-term Uncertainty of Hydropower Revenue Due to Climate Change and Electricity Prices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1325-1343, March.
    3. Gi Joo Kim & Seung Beom Seo & Young-Oh Kim, 2022. "Adaptive Reservoir Management by Reforming the Zone-based Hedging Rules against Multi-year Droughts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3575-3590, August.
    4. Ludovic Gaudard & Jeannette Gabbi & Andreas Bauder & Franco Romerio, 2016. "Long-term Uncertainty of Hydropower Revenue Due to Climate Change and Electricity Prices," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(4), pages 1325-1343, March.
    5. Ochoa, Vivian & Urbina-Cardona, Nicolás, 2017. "Tools for spatially modeling ecosystem services: Publication trends, conceptual reflections and future challenges," Ecosystem Services, Elsevier, vol. 26(PA), pages 155-169.
    6. Uribe, Natalia & Corzo, Gerald & Quintero, Marcela & van Griensven, Ann & Solomatine, Dimitri, 2018. "Impact of conservation tillage on nitrogen and phosphorus runoff losses in a potato crop system in Fuquene watershed, Colombia," Agricultural Water Management, Elsevier, vol. 209(C), pages 62-72.
    7. Liu, Hongxing & Gopalakrishnan, Sathya & Browning, Drew & Sivandran, Gajan, 2019. "Valuing water quality change using a coupled economic-hydrological model," Ecological Economics, Elsevier, vol. 161(C), pages 32-40.
    8. J. Yazdi & A. Moridi, 2018. "Multi-Objective Differential Evolution for Design of Cascade Hydropower Reservoir Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4779-4791, November.
    9. Egbendewe-Mondzozo, Aklesso & Swinton, Scott M. & Bals, Bryan D. & Dale, Bruce E., 2011. "Can Dispersed Biomass Processing Protect the Environment and Cover the Bottom Line for Biofuel?," Staff Paper Series 119348, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    10. Chuanxiong Kang & Cheng Chen & Jinwen Wang, 2018. "An Efficient Linearization Method for Long-Term Operation of Cascaded Hydropower Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3391-3404, August.
    11. Jiachuang Wang & Haoji Ma & Xianhang Yan, 2023. "Rockburst Intensity Classification Prediction Based on Multi-Model Ensemble Learning Algorithms," Mathematics, MDPI, vol. 11(4), pages 1-29, February.
    12. Marco van Dijk & Stefanus Johannes van Vuuren & Giovanna Cavazzini & Chantel Monica Niebuhr & Alberto Santolin, 2022. "Optimizing Conduit Hydropower Potential by Determining Pareto-Optimal Trade-Off Curve," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    13. Hongxing Liu & Wendong Zhang & Elena Irwin & Jeffrey Kast & Noel Aloysius & Jay Martin & Margaret Kalcic, 2020. "Best Management Practices and Nutrient Reduction: An Integrated Economic-Hydrologic Model of the Western Lake Erie Basin," Land Economics, University of Wisconsin Press, vol. 96(4), pages 510-530.
    14. 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.
    15. Andersson, Jafet C.M. & Zehnder, Alexander J.B. & Rockström, Johan & Yang, Hong, 2011. "Potential impacts of water harvesting and ecological sanitation on crop yield, evaporation and river flow regimes in the Thukela River basin, South Africa," Agricultural Water Management, Elsevier, vol. 98(7), pages 1113-1124, May.
    16. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
    17. Sedighkia, Mahdi & Abdoli, Asghar, 2023. "An optimization approach for managing environmental impacts of generating hydropower on fish biodiversity," Renewable Energy, Elsevier, vol. 218(C).
    18. Feng, Hongli & Jha, Manoj & Gassman, Philip W. & Parcel, Joshua D., 2007. "A Recent Trend in Ecological Economic Research: Quantifying the Benefits and Costs of Improving Ecosystem Services," ISU General Staff Papers 200701010800001812, Iowa State University, Department of Economics.
    19. Catherine L. Kling & Yiannis Panagopoulos & Sergey S. Rabotyagov & Adriana M. Valcu & Philip W. Gassman & Todd Campbell & Michael J. White & Jeffrey G. Arnold & Raghavan Srinivasan & Manoj K. Jha & Je, 2014. "LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(3), pages 431-459.
    20. Medwid, Laura J. & Lambert, Dayton M. & Clark, Christopher D. & Hawkins, Shawn A. & McClellan, Hannah A., 2016. "Estimating Soil Loss Abatement Curves with Primary Survey Data and Hydrologic Models: An Empirical Example for Livestock Production in an East Tennessee Watershed," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230052, Southern Agricultural Economics Association.

    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:spr:endesu:v:25:y:2023:i:1:d:10.1007_s10668-021-02081-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.