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Basin/Reservoir System Integration for Real Time Reservoir Operation

Author

Listed:
  • Gökçen Uysal

    (Anadolu University)

  • Aynur Şensoy

    (Anadolu University)

  • A. Arda Şorman

    (Anadolu University)

  • Türker Akgün

    (Akifer Su Hizm. Ltd. Şti., İzmit İçme Suyu Arıtma Tesis.)

  • Tolga Gezgin

    (Akifer Su Hizm. Ltd. Şti., İzmit İçme Suyu Arıtma Tesis.)

Abstract

This paper demonstrates the basin/reservoir system integration as a decision support system for short term operation policy of a multipurpose dam. It is desired to re-evaluate and improve the current operational regulation of the reservoir with respect to water supply and flood control especially for real time operation. The most innovative part of this paper is the development of a decision support system (DSS) by the integration of a hydrological (HEC-HMS) and reservoir simulation model (HEC-ResSim) to guide the professional practitioners during the real time operation of a reservoir to meet water elevation and flood protection objectives. In this context, a hybrid operating strategy to retain maximum water elevation is built by shifting between daily and hourly decisions depending on real time runoff forecasts. First, a daily hydro-meteorological rule based reservoir simulation model (HRM) is developed for both water supply and flood control risk. Then, for the possibility of a flood occurrence, hourly flood control rule based reservoir simulation model (FRM) is used. The DSS is applied on Yuvacık Dam Basin which has a flood potential due to its steep topography, snow potential, mild and rainy climate in Turkey. Numerical weather prediction based runoff forecasts computed by a hydrological model together with developed reservoir operation policy are put into actual practice for real time operation of the reservoir for March – June, 2012. According to the evaluations, proposed DSS is found to be practical and valuable to overcome subjective decisions about reservoir storage.

Suggested Citation

  • Gökçen Uysal & Aynur Şensoy & A. Arda Şorman & Türker Akgün & Tolga Gezgin, 2016. "Basin/Reservoir System Integration for Real Time Reservoir Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1653-1668, March.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:5:d:10.1007_s11269-016-1242-9
    DOI: 10.1007/s11269-016-1242-9
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    References listed on IDEAS

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    1. Marcos Geraldo Gomes & Victor Hugo Carlquist da Silva & Luiz Fernando Rodrigues Pinto & Plinio Centoamore & Salvatore Digiesi & Francesco Facchini & Geraldo Cardoso de Oliveira Neto, 2020. "Economic, Environmental and Social Gains of the Implementation of Artificial Intelligence at Dam Operations toward Industry 4.0 Principles," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    2. Gökçen Uysal & Dirk Schwanenberg & Rodolfo Alvarado-Montero & Aynur Şensoy, 2018. "Short Term Optimal Operation of Water Supply Reservoir under Flood Control Stress using Model Predictive Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 583-597, January.
    3. S. Khorram & N. Jehbez, 2023. "A Hybrid CNN-LSTM Approach for Monthly Reservoir Inflow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4097-4121, August.
    4. V. Ramaswamy & F. Saleh, 2020. "Ensemble Based Forecasting and Optimization Framework to Optimize Releases from Water Supply Reservoirs for Flood Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 989-1004, February.

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