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MARTON, D. KNOPPOVÁ, K.
Originální název
Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The aim of this paper is to introduce method of the robust reservoir performance evaluation under the climate change uncertainty. Water resources adaptation on climate change, drought management strategies as well as hydrological and reservoir modeling in the climate change uncertainty have been serious issues. Newly developed lumped water balance model and reservoir simulation model will be used. Based on these tools the approach of robust reservoir storage capacity reliability assessment will be introduced. The hydrological data under climate change will be constructed using the statistical downscaling tool LARS WG. Ensemble of 29 climate scenarios will be created. The hydrology analysis and the temporal reliability of reservoir storage capacity and its robustness assessment against the climate change uncertainty will be presented on the case study of the Vir I reservoir and Svratka river basin in the Czech Republic.
Klíčová slova
climate change; uncertainty; reservoir; reliability; reservoir storage capacity; robustness
Autoři
MARTON, D.; KNOPPOVÁ, K.
Vydáno
20. 9. 2018
Nakladatel
The EPiC Series: EasyChair Proceedings and Collections
Místo
Manchester
ISSN
2516-2330
Periodikum
EPiC Series in Engineering
Ročník
3
Číslo
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1316
Strany do
1323
Strany počet
8
URL
https://easychair.org/publications/volume/HIC_2018
BibTex
@inproceedings{BUT149761, author="Daniel {Marton} and Kateřina {Benáčková}", title="Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change", booktitle="HIC 2018. 13th International Conference on Hydroinformatics", year="2018", series="EPiC Series in Engineering", journal="EPiC Series in Engineering", volume="3", number="3", pages="1316--1323", publisher="The EPiC Series: EasyChair Proceedings and Collections", address="Manchester", doi="10.29007/s5s1", issn="2516-2330", url="https://easychair.org/publications/volume/HIC_2018" }