STREAMFLOW PREDICTION FOR UNGAUGED WATERSHED USING HYDROLOGICAL MODEL: THE CASE OF ZAMRA WATERSHED, TEKEZE RIVER BASIN, ETHIOPIA

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dc.contributor.author Freweyni Kahsay
dc.contributor.author Dr. Asfaw Kebede
dc.date.accessioned 2024-03-06T06:04:24Z
dc.date.available 2024-03-06T06:04:24Z
dc.date.issued 2023-11
dc.identifier.uri http://ir.haramaya.edu.et//hru/handle/123456789/7470
dc.description 104p. en_US
dc.description.abstract Prediction stream flow of ungauged catchment is important for water resources design, planning and management system. Stream flow estimation in catchment is probably one of the most basic and oldest tasks of hydrologists. In developing countries like Ethiopia most of the rivers are ungauged. Therefore, applying regionalization techniques on an ungauged or poorly gauged river basin is crucial. The study area of Zamra catchment have the scarcity of record data, but the Zamra River have the capability of feeding the society nearby as source of small scale irrigation. Therefore, this thesis deals with stream flow prediction in an ungauged Zamra catchment using GR4J hydrological model. Physical similarity regionalization techniques were applied to identify physically similar catchments which would be the best donors for streamflow prediction in ungauged catchments. For this study, seven gauged catchments located in gheba sub basin of Tekeze river basin were used. The physical similarity among catchments was determined by a weighted Euclidean distance based on catchment descriptors including catchment topography, land cover, and soil type. The results of physical similarity index indicate that all of the Watersheds are similar to each other. Gheba Nr Adikumsi Watershed with S value of 0.99 are used as donor Watershed to calibrate GR4J model. The Time period of 2004-2013 is used for model Calibration, and the 2014-2018 period for validation. The result shows that the calibrated gauging river have good agreement since Nash Sutcliff efficiency and R 2 greater than 0.75. Discharge for the ungauged watershed simulates on a daily basis in the period of 2004-2018 and with input data such as precipitation and potential evapotranspiration. The importance of the study is in that the output data from the Model can be used in water resource planning and management for its irrigation potential and any water harvesting structures. en_US
dc.description.sponsorship Haramaya University en_US
dc.language.iso en en_US
dc.publisher Haramaya University en_US
dc.subject Gheba Sub-basin, GR4J, Regionalization, Rainfall-Runoff Modelling, Ungauged Catchment en_US
dc.title STREAMFLOW PREDICTION FOR UNGAUGED WATERSHED USING HYDROLOGICAL MODEL: THE CASE OF ZAMRA WATERSHED, TEKEZE RIVER BASIN, ETHIOPIA en_US
dc.type Thesis en_US


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