Journal of Hydrology: Regional Studies (Feb 2025)

Evaluating the potential of Nature-based solutions to mitigate land use and climate change impacts on the hydrology of the Gefersa and Legedadi watersheds in Ethiopia

  • Yared Bayissa,
  • Raghavan Srinivasan,
  • Johannes Hunink,
  • Douglas Nyolei,
  • Semu Moges,
  • David de Andrade Costa,
  • Dereje Tadesse,
  • Assefa Melesse,
  • Seifu Tilahun

Journal volume & issue
Vol. 57
p. 102130

Abstract

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Study region: Surface water supply source of Addis Ababa, the capital city of Ethiopia, relies primarily on the small reservoirs in Gefersa and Legedadi water supply systems located upstream of Little and Big Akaki rivers. Thus, Gefersa and Legedadi are the study watersheds of this research. Study focus: This study evaluates the impacts of land use and climate changes on surface water availability and the benefits of nature-based solutions (NbS) to enhance the water supply and the life of the dams in the Gefersa and Legedadi small watersheds that supply water to Addis Ababa city, Ethiopia. Several land use and climate change scenarios have been developed and integrated into baseline hydrological model to assess their impact on water balance components and sediment yield. Extreme climate change scenarios were developed using the combination of the 5th, 50th and 95th percentiles of future precipitation and temperature changes. New hydrological insights for the region: The results of the land use change analysis revealed a shift between 2012, 2022 and 2042, with a significant expansion of urban settlements and a decline in forestland and vegetation cover. Under climate change scenario, the simulations project that drier seasons become drier and wet seasons become wetter. Overall, this study highlights the potential benefits of NbS in enhancing water availability, particularly during the dry season, promoting dry season farming and increasing the water supply to meet the water demand. The approach followed in this study can be adapted to other watersheds with access to more recent and good quality datasets for future research.

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