Impact of Climate Change on Hydrological and Meteorological Quantities in Watershed Scale

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F22%3APU146531" target="_blank" >RIV/00216305:26110/22:PU146531 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Impact of Climate Change on Hydrological and Meteorological Quantities in Watershed Scale

Original language description

Climate change’s effect on nature, the human population and water resources have become a serious issue. It affects the delicate balance between precipitation, evaporation, discharge and other interactions between the atmosphere and surface, which is represented by the water cycle as we know it. The adaptation of water resources to changing hydrological conditions within basins is crucial. However, the uncertainty of climate change makes it difficult for hydrological models to evaluate future conditions. To suppress the uncertainty that stems from the hydrological model itself, we propose a new modified lumped water balance model in monthly time steps to simulate the rainfall-runoff process more precisely, which will help to evaluate the predicted hydrological and climatological conditions under the uncertainty of climate change. Assessment of the effects of climate change is presented on the catchment above the Vír I reservoir on the Svratka River in the Czech Republic in Central Europe. The uncertainty of climate change is represented by an ensemble of future climatological projections using representative concentration pathways (RCP) scenarios. Two ensembles were generated: the first using RCP 4.5 and the second using RCP 8.5. Both scenarios were coupled with 18 global climate models which are available in LARS-WG 6 software. Analysis of the generated climatological quantities for both ensembles in the 2030s, 2050s, and 2090s periods on annual average relative to baseline values showed an increase in mean temperature of 21.4% (1.4°C), 33.1% (2.2°C) and 55.5% (3.7 °C), an increase of potential evapotranspiration of 7.2%, 11.4% and 20.5%, and an increase in precipitation of 4.8%, 5.3% and 5.5%, respectively. Evaluated long-term mean streamflow showed a decrease in the 2030s, 2050s and 2090 of 1.0%, 3.1% and 2.9%, respectively, for RCP 4.5 and an increase of 1.8% in the 2030s but then also a decrease in the 2050s and 2090s of 2.3% and 17.9%, respectively, for RCP 8.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10503 - Water resources

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2022

Confidentiality

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

Article name in the collection

SGEM CONFERENCE PROCEEDINGS 2022

ISBN

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ISSN

1314-2704

e-ISSN

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Number of pages

8

Pages from-to

1-8

Publisher name

Neuveden

Place of publication

neuveden

Event location

Vídeň

Event date

Dec 6, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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