scholarly journals Climate change impacts on South American water balance from a continental-scale hydrological model driven by CMIP5 projections

2020 ◽  
Vol 159 (4) ◽  
pp. 503-522 ◽  
Author(s):  
João Paulo Lyra Fialho Brêda ◽  
Rodrigo Cauduro Dias de Paiva ◽  
Walter Collischon ◽  
Juan Martín Bravo ◽  
Vinicius Alencar Siqueira ◽  
...  
2020 ◽  
Vol 186 ◽  
pp. 109544 ◽  
Author(s):  
Thundorn Okwala ◽  
Sangam Shrestha ◽  
Suwas Ghimire ◽  
S. Mohanasundaram ◽  
Avishek Datta

2018 ◽  
Vol 246 ◽  
pp. 01099
Author(s):  
Jun Yin ◽  
Zhe Yuan ◽  
Run Wang

The projection of surface runoff in the context of climate change is important to the rational utilization and distribution of water resources. This study did a case study in regions above Danjiangkou in Hanjiang River Basin. A basin scale hydrological model was built based on macroscale processes of surface runoff and water-energy balance. This model can describe the quantity relationship among climatic factors, underlying surface and surface runoff. Driven by hypothetical climatic scenarios and climate change dataset coming from CMIP5, the climate change impacts on surface runoff in the regions above Danjiangkou in Hanjiang River Basin can be addressed. The results showed that: (1) Compared with other distributed hydrological models, the hydrological model in this study has fewer parameters and simpler calculation methods. The model was good at simulating annual surface runoff. (2) The surface runoff was less sensitivity to climate change in the regions above Danjiangkou in Hanjiang River Basin. A 1°C increase in temperature might results in a surface runoff decrease of 2~5% and a 10% precipitation increase might result in a streamflow increase of 14~17%. (3) The temperature across the Fu River Basin were projected to increase by 1.4~2.3°C in 1961 to 1990 compared with that in 1961 to 1990. But the uncertainty existed among the projection results of precipitation. The surface runoff was excepted to decrease by 1.3~23.9% without considering the climate change projected by NorESM1-M and MIROC-ESM-CHEM, which was much different from other GCMs.


PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0207370 ◽  
Author(s):  
Wentian He ◽  
J. Y. Yang ◽  
B. Qian ◽  
C. F. Drury ◽  
G. Hoogenboom ◽  
...  

2012 ◽  
Vol 117 (1-2) ◽  
pp. 41-53 ◽  
Author(s):  
Russell S. Crosbie ◽  
Trevor Pickett ◽  
Freddie S. Mpelasoka ◽  
Geoff Hodgson ◽  
Stephen P. Charles ◽  
...  

Rangelands ◽  
2008 ◽  
Vol 30 (3) ◽  
Author(s):  
Laura Yahdjian ◽  
Osvaldo E. Sala ◽  

2014 ◽  
Vol 29 (4) ◽  
pp. 1193-1215 ◽  
Author(s):  
Giovanni Ravazzani ◽  
Secondo Barbero ◽  
Alessio Salandin ◽  
Alfonso Senatore ◽  
Marco Mancini

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Fei Yuan ◽  
Mingwei Ma ◽  
Liliang Ren ◽  
Hongren Shen ◽  
Yue Li ◽  
...  

Quantitative evaluation of future climate change impacts on hydrological drought characteristics is one of important measures for implementing sustainable water resources management and effective disaster mitigation in drought-prone regions under the changing environment. In this study, a modeling system for projecting the potential future climate change impacts on hydrological droughts in the Weihe River basin (WRB) in North China is presented. This system consists of a large-scale hydrological model driven by climate outputs from three climate models (CMs) for future streamflow projections, a probabilistic model for univariate drought assessment, and a copula-based bivariate model for joint drought frequency analysis under historical and future climates. With the observed historical climate data as the inputs, the Variable Infiltration Capacity hydrological model projects an overall runoff reduction in the WRB under the Intergovernmental Panel on Climate Change A1B scenario. The univariate drought assessment found that although fewer hydrological drought events would occur under A1B scenario, drought duration and severity tend to increase remarkably. Moreover, the bivariate drought assessment reveals that future droughts in the same return period as the baseline droughts would become more serious. With these trends in the future, the hydrological drought situation in the WRB would be further deteriorated.


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