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MARTON, D. KNOPPOVÁ, K.
Original Title
Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change
Type
conference paper
Language
English
Original Abstract
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.
Keywords
climate change; uncertainty; reservoir; reliability; reservoir storage capacity; robustness
Authors
MARTON, D.; KNOPPOVÁ, K.
Released
20. 9. 2018
Publisher
The EPiC Series: EasyChair Proceedings and Collections
Location
Manchester
ISBN
2516-2330
Periodical
EPiC Series in Engineering
Year of study
3
Number
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1316
Pages to
1323
Pages count
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" }