Modeling the impact of agricultural crops on the spatial and seasonal variability of water balance components in the Lake Tana basin, Ethiopia

• Published in: Hydrology Research Vol. 50; no. 5; pp. 1376 - 1396
• Main Authors: Tigabu, Tibebe B., Wagner, Paul D., Hörmann, Georg, Fohrer, Nicola
• Format: Journal Article
• Language: English
• Published: London IWA Publishing 01.10.2019
• Subjects: Agricultural management; Agriculture; Agronomy; Annual rainfall; Aquifer systems; Aquifers; Catchment area; Catchment areas; Cereal crops; Climate change; Components; Computer simulation; Crop water; Crops; Economic activities; Economic conditions; Fluxes; Groundwater; Groundwater recharge; Hydrologic cycle; Hydrologic models; Hydrology; Lake basins; Lakes; Land use; Millet; Peas; Rain; Rivers; Runoff; Seasonal variability; Seasonal variation; Seasonal variations; Soil; Soil water; Spatial variations; Stream discharge; Stream flow; Surface water; Vegetation; Water balance; Water balance components; Water management; Water resources; Lake Tana; Nile River; Ethiopia
• ISSN: 0029-1277; 1998-9563; 2224-7955
• DOI: 10.2166/nh.2019.170

Abstract The Lake Tana basin hosts more than three million people and it is well known for its water resource potential by the Ethiopian government. The major economic activity in the region is agriculture, but the effect of agricultural crops on water resources is poorly understood. Understanding the crop water interaction is important to design proper water management plans. Therefore, the primary objective of this research is to investigate the effect of different agricultural crops on the spatial and seasonal variability of water balance components of Gilgelabay, Gumara, and Ribb catchment areas of Lake Tana basin, Ethiopia. To this end, the hydrologic model SWAT (Soil and Water Assessment Tool) was used to simulate the water fluxes between 1980 and 2014. The water balance components, which were mapped for each hydrologic response unit, indicated the spatial variations of water fluxes in the study. Cereal crops like teff and millet had significant effect in enhancing groundwater recharge, whereas leguminous crops like peas had significant impact in increasing runoff generation. Moreover, the model outputs showed that the total streamflow is dominated by baseflow and about 13%, 9%, and 7% of the annual rainfall goes to the deep aquifer system of Gilgelabay, Gumara, and Ribb catchment areas, respectively.