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1 Larbi, I.; Hountondji, F. C. C.; Dotse, S.-Q.; Mama, D.; Nyamekye, C.; Adeyeri, O. E.; Koubodana, H. D.; Odoom, P. R. E.; Asare, Y. M. 2021. Local climate change projections and impact on the surface hydrology in the Vea Catchment, West Africa. Hydrology Research, 16p. (Online first) [doi: https://doi.org/10.2166/nh.2021.096]

Climate change ; Forecasting ; Surface runoff ; Hydrology ; Climatology ; Catchment areas ; Water balance ; Water resources ; River basins ; Land use ; Precipitation ; Rain ; Evapotranspiration ; Models ; Uncertainty / West Africa / Ghana / Burkina Faso / White Volta River Basin / Vea Catchment

(Location: IWMI HQ Call no: e-copy only Record No: H050593)

https://iwaponline.com/hr/article-pdf/doi/10.2166/nh.2021.096/931645/nh2021096.pdf
https://vlibrary.iwmi.org/pdf/H050593.pdf

(0.91 MB) (932 KB)

Water security has been a major challenge in the semi-arid area of West Africa including Northern Ghana, where climate change is projected to increase if appropriate measures are not taken. This study assessed rainfall and temperature projections and its impact on the water resources in the Vea catchment using an ensemble mean of four bias-corrected Regional Climate Models and Statistical Downscaling Model-Decision Centric (SDSM-DC) simulations. The ensemble mean of the bias-corrected climate simulations was used as input to an already calibrated and validated Soil and Water Assessment Tool (SWAT) model, to assess the impact of climate change on actual evapotranspiration (ET), surface runoff and water yield, relative to the baseline (1990–2017) period. The results showed that the mean annual temperature and actual ET would increase by 1.3 °C and 8.3%, respectively, for the period 2020–2049 under the medium CO2 emission (RCP4.5) scenario, indicating a trend towards a dryer climate. The surface runoff and water yield are projected to decrease by 42.7 and 38.7%, respectively. The projected decrease in water yield requires better planning and management of the water resources in the catchment.

2 Ahmed, N.; Zhu, L.; Wang, G.; Adeyeri, O. E.; Shah, S.; Ali, S.; Marhaento, H.; Munir, Sarfraz. 2023. Occurrence and distribution of long-term variability in precipitation classes in the source region of the Yangtze River. Sustainability, 15(7):5834. (Special issue: Hydro-Meteorology and its Application in Hydrological Modeling) [doi: https://doi.org/10.3390/su15075834]

Climate change ; Precipitation ; Trends ; Rivers ; Rainfall ; Drought ; Time series analysis ; Hydrological factors ; Dry spells ; Vegetation / China / Yangtze River

(Location: IWMI HQ Call no: e-copy only Record No: H051888)

https://www.mdpi.com/2071-1050/15/7/5834/pdf?version=1679974417
https://vlibrary.iwmi.org/pdf/H051888.pdf

(6.22 MB) (6.22 MB)

Various precipitation-related studies have been conducted on the Yangtze River. However, the topography and atmospheric circulation regime of the Source Region of the Yangtze River (SRYZ) differ from other basin parts. Along with natural uniqueness, precipitation constitutes over 60% of the direct discharge in the SRYZ, which depicts the decisive role of precipitation and a necessary study on the verge of climate change. The study evaluates the event distribution of long-term variability in precipitation classes in the SRYZ. The precipitation was classified into three precipitation classes: light precipitation (0–5 mm, 5–10 mm), moderate precipitation (10–15 mm, 15–20 mm, 20–25 mm), and heavy precipitation (>25 mm). The year 1998 was detected as a changing year using the Pettitt test in the precipitation time series; therefore, the time series was divided into three scenarios: Scenario-R (1961–2016), the pre-change point (Scenario-I; 1961–1998), and the post-change point (Scenario-II; 1999–2016). Observed annual precipitation amounts in the SRYZ during Scenario-R and Scenario-I significantly increased by 13.63 mm/decade and 48.8 mm/decade, respectively. The same increasing trend was evident in seasonal periods. On a daily scale, light precipitation (0–5 mm) covered most of the days during the entire period, with rainy days accounting for 83.50%, 84.5%, and 81.30%. These rainy days received up to 40%, 41%, and 38% of the annual precipitation during Scenario-R, Scenario-I, and Scenario-II, respectively. Consequently, these key findings of the study will be helpful in basin-scale water resources management.