Developing Hydrological and Reservoir Models under Deep Uncertainty of Climate Change: Robustness of Water Supply Reservoir

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F19%3AN0000075" target="_blank" >RIV/00020699:_____/19:N0000075 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26110/19:PU132857

Výsledek na webu

<a href="https://iwaponline.com/ws/article-abstract/19/8/2222/68927/Developing-hydrological-and-reservoir-models-under?redirectedFrom=fulltext" target="_blank" >https://iwaponline.com/ws/article-abstract/19/8/2222/68927/Developing-hydrological-and-reservoir-models-under?redirectedFrom=fulltext</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2166/ws.2019.102" target="_blank" >10.2166/ws.2019.102</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Developing Hydrological and Reservoir Models under Deep Uncertainty of Climate Change: Robustness of Water Supply Reservoir

Popis výsledku v původním jazyce

Adaptation of water resources to climate change, drought management strategies, and hydrological and reservoir modelling have become serious issues in the context of climate change uncertainty. The aim of this paper is to introduce methods and tools for hydrological analysis and robust reservoir performance evaluation in this time of deep uncertainty. Newly developed lumped water balance and reservoir simulation models will be used to perform hydrological analysis, and a robust reservoir storage capacity reliability assessment will also be conducted. The hydrological data in relation to climate change will be constructed using two climatological datasets created by statistical downscaling tools LARS WG and ENSEMBLE Downscaling Portal. The hydrological analysis and the temporal reliability of the assessment of reservoir storage capacity and robustness in the context of climate change uncertainty will be presented as a case study of the Vir I reservoir and the Svratka River basin in the Czech Republic, in central Europe. The resulting models show a decrease in long-term mean flow, ranging from 6% to 32%, and in reservoir outflow from 1.5% to 26%, depending on the timescale, downscaling tools and emission scenarios.

Název v anglickém jazyce

Developing Hydrological and Reservoir Models under Deep Uncertainty of Climate Change: Robustness of Water Supply Reservoir

Popis výsledku anglicky

Adaptation of water resources to climate change, drought management strategies, and hydrological and reservoir modelling have become serious issues in the context of climate change uncertainty. The aim of this paper is to introduce methods and tools for hydrological analysis and robust reservoir performance evaluation in this time of deep uncertainty. Newly developed lumped water balance and reservoir simulation models will be used to perform hydrological analysis, and a robust reservoir storage capacity reliability assessment will also be conducted. The hydrological data in relation to climate change will be constructed using two climatological datasets created by statistical downscaling tools LARS WG and ENSEMBLE Downscaling Portal. The hydrological analysis and the temporal reliability of the assessment of reservoir storage capacity and robustness in the context of climate change uncertainty will be presented as a case study of the Vir I reservoir and the Svratka River basin in the Czech Republic, in central Europe. The resulting models show a decrease in long-term mean flow, ranging from 6% to 32%, and in reservoir outflow from 1.5% to 26%, depending on the timescale, downscaling tools and emission scenarios.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Water Supply

ISSN

1606-9749

e-ISSN

—

Svazek periodika

19

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

2222-2230

Kód UT WoS článku

000522824300006

EID výsledku v databázi Scopus

2-s2.0-85077492933