Multi-method groundwater recharge estimation at Eshito micro-watershed, Rift Valley Basin in Ethiopia
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Ferede, M.; Haile, Alemseged Tamiru; Walker, D.; Gowing, J.; Parkin, G. 2020. Multi-method groundwater recharge estimation at Eshito micro-watershed, Rift Valley Basin in Ethiopia. Hydrological Sciences Journal, 65(9):1596-1605.
Permanent link to cite or share this item: https://hdl.handle.net/10568/108678
Understanding recharge processes is fundamental to improve sustainable groundwater resource management. Shallow groundwater (SGW) is being developed for multiple purposes in Ethiopia without consideration of monitoring. We established a citizen science-based hydro-meteorological monitoring network, with a focus on SGW recharge estimation, in Eshito micro-watershed, Ethiopia. Citizen scientists collected rainfall, groundwater-level and stream water-level data. We characterized the shallow aquifer using pumping tests. The data were used to estimate SGW recharge using three methods: chloride mass balance, water-level fluctuation (WLF) and baseflow separation. Approximately 20% and 35% of annual rainfall amount contributes to recharge based on the chloride mass balance and WLF results, respectively. Baseflow separation showed recharge values for the watershed vary from 38% to 28% of annual rainfall at the upstream and downstream gauging stations, respectively. This study shows that the recharge in previously unmonitored micro-watersheds can be studied if citizens are involved in data generation.
Organizations Affiliated to the AuthorsArba Minch University; International Water Management Institute; Newcastle University
Investors/sponsorsDepartment for International Development, United Kingdom
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