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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