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Article

The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes

Institute of Landscape Water Management, Faculty of Civil Engineering, Brno University of Technology, 602 00 Brno, Czech Republic
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Author to whom correspondence should be addressed.
Academic Editors: Rajesh R. Shrestha and Mohammad Reza Najafi
Water 2021, 13(10), 1389; https://doi.org/10.3390/w13101389
Received: 30 March 2021 / Revised: 6 May 2021 / Accepted: 12 May 2021 / Published: 16 May 2021
The topic of uncertainties in water management tasks is a very extensive and highly discussed one. It is generally based on the theory that uncertainties comprise epistemic uncertainty and aleatoric uncertainty. This work deals with the comprehensive determination of the functional water volumes of a reservoir during extreme hydrological events under conditions of aleatoric uncertainty described as input data uncertainties. In this case, the input data uncertainties were constructed using the Monte Carlo method and applied to the data employed in the water management solution of the reservoir: (i) average monthly water inflows, (ii) hydrographs, (iii) bathygraphic curves and (iv) water losses by evaporation and dam seepage. To determine the storage volume of the reservoir, a simulation-optimization model of the reservoir was developed, which uses the balance equation of the reservoir to determine its optimal storage volume. For the second hydrological extreme, a simulation model for the transformation of flood discharges was developed, which works on the principle of the first order of the reservoir differential equation. By linking the two models, it is possible to comprehensively determine the functional volumes of the reservoir in terms of input data uncertainties. The practical application of the models was applied to a case study of the Vír reservoir in the Czech Republic, which fulfils the purpose of water storage and flood protection. The obtained results were analyzed in detail to verify whether the reservoir is sufficiently resistant to current hydrological extremes and also to suggest a redistribution of functional volumes of the reservoir under conditions of measurement uncertainty. View Full-Text
Keywords: multi-purpose reservoir; functional volume; uncertainties; Monte Carlo method; hydrological extremes; simulation-optimization model; optimal storage volume; simulation model; retention volume; transformation of flood discharges multi-purpose reservoir; functional volume; uncertainties; Monte Carlo method; hydrological extremes; simulation-optimization model; optimal storage volume; simulation model; retention volume; transformation of flood discharges
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MDPI and ACS Style

Paseka, S.; Marton, D. The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes. Water 2021, 13, 1389. https://doi.org/10.3390/w13101389

AMA Style

Paseka S, Marton D. The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes. Water. 2021; 13(10):1389. https://doi.org/10.3390/w13101389

Chicago/Turabian Style

Paseka, Stanislav, and Daniel Marton. 2021. "The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes" Water 13, no. 10: 1389. https://doi.org/10.3390/w13101389

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