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Long-Term Water Management Model for Preserving Sustainable Useful Capacity of Reservoirs

Author

Listed:
  • Bruno Molino

    (University of Molise)

  • Annamaria De Vincenzo

    (University of Basilicata)

  • Antonio Minó

    (University of Molise)

  • Luigi Ambrosone

    (University of Molise)

Abstract

In this study, we present a long-term water management model which can be an important tool for the ordinary management of a reservoir. The model can be made simple and applicable in a graphic form. The key point of the model is that the sedimentation rate of solids can be modeled according to a power law. The basic equation of the model is tested using bathymetric surveys of different dams located in different parts of the world. Robustness and predictive power are evaluated both numerically and by comparison with satellite results. Then the model is transformed into the form of a management plot and applied to the real case of the Camastra dam.

Suggested Citation

  • Bruno Molino & Annamaria De Vincenzo & Antonio Minó & Luigi Ambrosone, 2023. "Long-Term Water Management Model for Preserving Sustainable Useful Capacity of Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 1879-1894, March.
    • Handle: RePEc:spr:waterr:v:37:y:2023:i:5:d:10.1007_s11269-023-03460-w
    DOI: 10.1007/s11269-023-03460-w
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    References listed on IDEAS

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    1. I. Gaubi & A. Chaabani & A. Ben Mammou & M. H. Hamza, 2017. "A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia)," 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. 86(1), pages 219-239, March.
    2. Pedro Wirley Castro & Carlos Alberto Mantilla, 2021. "Implementation of Strategies for the Management of Dams with Sedimented Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4399-4413, October.
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    Cited by:

    1. 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.

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