Detail publikace

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

PASEKA, S. MARTON, D.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

PASEKA, S.; MARTON, D.

Vydáno

16. 5. 2021

MDPI

Místo

St. Alban-Anlage 66, 4052 Basel, Switzerland

ISSN

2073-4441

Periodikum

Water

Ročník

13

Číslo

10

Stát

Švýcarská konfederace

Strany od

1

Strany do

25

Strany počet

25

URL

Plný text v Digitální knihovně

BibTex

``````@article{BUT171656,
author="Stanislav {Paseka} and Daniel {Marton}",
title="The Impact of the Uncertain Input Data of Multi-Purpose Reservoir Volumes under Hydrological Extremes",
journal="Water",
year="2021",
volume="13",
number="10",
pages="1--25",
doi="10.3390/w13101389",
issn="2073-4441",
url="https://www.mdpi.com/2073-4441/13/10/1389/htm"
}``````