Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216305:26110/18:PU128919

Výsledek na webu

<a href="https://easychair.org/publications/paper/MD13" target="_blank" >https://easychair.org/publications/paper/MD13</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Robust Reliability Assessment of Water Reservoir Under Uncertainty of Climate Change

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

HIC 2018, 13th International Conference on Hydroinformatics

ISBN

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ISSN

2516-2330

e-ISSN

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Počet stran výsledku

8

Strana od-do

1316-1323

Název nakladatele

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Místo vydání

Manchester

Místo konání akce

Palermo

Datum konání akce

1. 6. 2018

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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