Responses of water balance component to land use/land cover and climate change using geospatial and hydrologic modeling in the Gidabo watershed, Ethiopia

Abstract

The impact of climate change (CC) and land-use/land-cover (LULC) change on water resources poses a major threat globally. This study investigates the separate and combined responses of CC and LULC change on water balance in Gidabo watershed, Ethiopia, using Soil and Water Assessment Tool (SWAT), Cellular Automata-Markov Chain, and regional climate models. CC projection under RCP 4.5 and hydrological modeling show a significant decline in mean annual surface runoff (Q), baseflow (BF), water yield (WY), percolation (PC), and evapotranspiration (ET) during mid-century (2027–2056) as well as late-century (2061–2090) compared to the baseline period (1988–2018) data, largely due to decline in rainfall. Likewise, under RCP 8.5 scenario, the modeling results show a decrease in Q, BF, WY, PC, and ET during these periods. The LULC change (often associated with an expansion in cultivated and urban areas and a reduction in evergreen forest and grassland) alone leads to a positive synergy with an increase in mean annual Q and WY and a negative synergy with a decrease in BF, PC and ET during the period 2018 to 2075. The combined effects of climate and LULC changes have also shown a decline in Q, BF, WY, PC and ET. Overall, the climate change impacts significantly the future Q and WY. However, the combined effect of climate and LULC changes on BF, PC, and ET is more prominent than their separate impacts and it underlines the significance of this study.

Keywords:

• Land-use/land-cover (LULC) change
• climate change
• Cellular Automata-Markov Chain model
• soil and water assessment tool
• hydrological component

Acknowledgements

The authors thank the National Meteorological Agency of Ethiopia and the Ministry of Water, Irrigation and Electricity of Ethiopia for providing the climate and hydrologic data, respectively; and the United States Geological Survey (USGS) for the Landsat images and DEM data. We also acknowledge the CORDEX-AFRICA databank for the projected future climate data.

Disclosure Statement

The authors declare no conflict of interests.

Availability of data

Data used during the study are available from the corresponding author by request and with permission of the National Meteorological Agency of Ethiopia and the Ministry of Water, Irrigation and Electricity of Ethiopia.