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Integrated Reservoir Management System for Flood Risk Assessment Under Climate Change

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  • Hyung-Il Eum
  • A. Vasan
  • Slobodan Simonovic

Abstract

Operations of existing reservoirs will be affected by climate change. Reservoir operating rules developed using historical information will not provide the optimal use of storage under changing hydrological conditions. In this paper, an integrated reservoir management system has been developed to adapt existing reservoir operations to changing climatic conditions. The reservoir management system integrates: (1) the K-Nearest Neighbor (K-NN) weather generator model; (2) the HEC-HMS hydrological model; and (3) the Differential Evolution (DE) optimization model. Six future weather scenarios are employed to verify the integrated reservoir management system using Upper Thames River basin in Canada as a case study. The results demonstrate that the integrated system provides optimal reservoir operation rule curves that reflect the hydrologic characteristics of future climate scenarios. Therefore, they may be useful for the development of reservoir climate change adaptation strategy. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Hyung-Il Eum & A. Vasan & Slobodan Simonovic, 2012. "Integrated Reservoir Management System for Flood Risk Assessment Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3785-3802, October.
  • Handle: RePEc:spr:waterr:v:26:y:2012:i:13:p:3785-3802
    DOI: 10.1007/s11269-012-0103-4
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    References listed on IDEAS

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    1. Maarten Krol & Marjella Vries & Pieter Oel & José Araújo, 2011. "Sustainability of Small Reservoirs and Large Scale Water Availability Under Current Conditions and Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(12), pages 3017-3026, September.
    2. Hyung-Il Eum & Slobodan Simonovic, 2010. "Integrated Reservoir Management System for Adaptation to Climate Change: The Nakdong River Basin in Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(13), pages 3397-3417, October.
    3. M. Reddy & D. Kumar, 2006. "Optimal Reservoir Operation Using Multi-Objective Evolutionary Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(6), pages 861-878, December.
    4. Adeyemo, Josiah & Otieno, Fred, 2010. "Differential evolution algorithm for solving multi-objective crop planning model," Agricultural Water Management, Elsevier, vol. 97(6), pages 848-856, June.
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    Cited by:

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    3. Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. S. Rehana & P. Mujumdar, 2014. "Basin Scale Water Resources Systems Modeling Under Cascading Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3127-3142, August.
    5. Sabah Fayaed & Ahmed El-Shafie & Othman Jaafar, 2013. "Integrated Artificial Neural Network (ANN) and Stochastic Dynamic Programming (SDP) Model for Optimal Release Policy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3679-3696, August.
    6. Asmadi Ahmad & Ahmed El-Shafie & Siti Razali & Zawawi Mohamad, 2014. "Reservoir Optimization in Water Resources: a Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3391-3405, September.
    7. Ding, Ziyu & Fang, Guohua & Wen, Xin & Tan, Qiaofeng & Huang, Xianfeng & Lei, Xiaohui & Tian, Yu & Quan, Jin, 2018. "A novel operation chart for cascade hydropower system to alleviate ecological degradation in hydrological extremes," Ecological Modelling, Elsevier, vol. 384(C), pages 10-22.
    8. J. Ballesteros-Cánovas & M. Sanchez-Silva & J. Bodoque & A. Díez-Herrero, 2013. "An Integrated Approach to Flood Risk Management: A Case Study of Navaluenga (Central Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 3051-3069, June.
    9. Mohammed Sharif & Donald Burn & Karen Hofbauer, 2013. "Generation of Daily and Hourly Weather Variables for use in Climate Change Vulnerability Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1533-1550, March.
    10. Uriel Huaringa Alvarez & Mélanie Trudel & Robert Leconte, 2014. "Impacts and Adaptation to Climate Change Using a Reservoir Management Tool to a Northern Watershed: Application to Lièvre River Watershed, Quebec, Canada," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3667-3680, September.
    11. Ramos, Helena M. & Teyssier, Charlotte & Samora, Irene & Schleiss, Anton J., 2013. "Energy recovery in SUDS towards smart water grids: A case study," Energy Policy, Elsevier, vol. 62(C), pages 463-472.
    12. Geeta G. Persad & Daniel L. Swain & Claire Kouba & J. Pablo Ortiz-Partida, 2020. "Inter-model agreement on projected shifts in California hydroclimate characteristics critical to water management," Climatic Change, Springer, vol. 162(3), pages 1493-1513, October.

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