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Using Integrated Hydrological Models to Assess the Impacts of Climate Change on Discharges and Extreme Flood Events in the Upper Yangtze River Basin
- Source :
- Water, Volume 13, Issue 3, Water, Vol 13, Iss 299, p 299 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- Amongst the impacts of climate change, those arising from extreme hydrological events are expected to cause the greatest impacts. To assess the changes in temperature and precipitation and their impacts on the discharge in the upper Yangtze Basin from pre-industrial to the end of 21st century, four hydrological models were integrated with four global climate models. Results indicated that mean discharge was simulated to increase slightly for all hydrological models forced by all global climate models during 1771&ndash<br />1800 and 1871&ndash<br />1900 relative to the 1971&ndash<br />2000 reference period, whereas the change directions in mean discharge were not consistent among the four global climate models during 2070&ndash<br />2099, with increases from HadGEM2-ES and MIROC5, and decreases from GFDL-ESM2M and IPSL-CM5A-LR. Additionally, our results indicated that decreases in precipitation may always result in the decrease in mean discharge, but increases in precipitation did not always lead to increases in discharge due to high temperature rise. The changes in extreme flood events with different return intervals were also explored. These extreme events were projected to become more intense and frequent in the future, which could have potential devastating impacts on the society and ecosystem in this region.
- Subjects :
- lcsh:TD201-500
lcsh:Hydraulic engineering
Flood myth
Hydrological modelling
Geography, Planning and Development
Lead (sea ice)
Climate change
Aquatic Science
Structural basin
Biochemistry
lcsh:Water supply for domestic and industrial purposes
climate change
lcsh:TC1-978
extreme floods event
General Circulation Model
Climatology
global climate models
hydrologic modeling
Environmental science
Ecosystem
Precipitation
Water Science and Technology
mean discharge
Subjects
Details
- Language :
- English
- ISSN :
- 20734441
- Database :
- OpenAIRE
- Journal :
- Water
- Accession number :
- edsair.doi.dedup.....8bd01b241b660ba7f1b4ec93bb28d65b
- Full Text :
- https://doi.org/10.3390/w13030299