Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F18%3AN0000067" target="_blank" >RIV/00020699:_____/18:N0000067 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26110/18:PU128919
Result on the web
<a href="https://easychair.org/publications/paper/MD13" target="_blank" >https://easychair.org/publications/paper/MD13</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10501 - Hydrology
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
HIC 2018, 13th International Conference on Hydroinformatics
ISBN
—
ISSN
2516-2330
e-ISSN
—
Number of pages
8
Pages from-to
1316-1323
Publisher name
—
Place of publication
Manchester
Event location
Palermo
Event date
Jun 1, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
—