Xi Liu*
The Omo-gibe basin in Ethiopia's streamflow, seasonal distribution, and amount of precipitation were expected to be affected by climate change in this study. A quantile mapping approach were used to statistically downscale and bias-correct climate change projections made using data from fifteen regional climate models (RCMs) participating in the Coordinated Regional Climate Reduction Experiment (CORDEX)-Africa. Temperature and precipitation projections were made using the RCP 8.5 and RCP 4.5 emission scenarios. In the near future (2025-2050), medium future (2051-2075), and distant future (2076-2100), climate and streamflow estimates from a mean ensemble of RCMs were compared to the reference (1989–2019). To establish if a change is statistically significant and to identify trends in temperature, precipitation, and streamflow, Mann-Kendall (MK) trend testing was utilised. The hydrological SWAT (Soil and Water Assessment Tool) model was employed to project the effects of climate change on streamflow. The emission scenarios predicted significant positive (increasing) temperature changes but significant negative (declining) precipitation and streamflow changes, respectively, according to RCP4.5 and RCP8.5.
Teile diesen Artikel
English 
Spanish 
Chinese 
Russian 
French 
Japanese 
Portuguese 
Hindi 