Your search found 3 records
1 Taye, Meron Teferi; Haile, Alemseged Tamiru; Genet, A.; Geremew, Y.; Wassie, S.; Abebe, B.; Alemayehu, B. 2022. Data quality deterioration in the Lake Tana Sub-basin, Ethiopia: scoping study to provide streamflow and water withdrawal data. Colombo, Sri Lanka: International Water Management Institute (IWMI). 32p. (IWMI Working Paper 204) [doi: https://doi.org/10.5337/2022.208]
Hydrological data ; Data quality ; Lakes ; Stream flow ; Water extraction ; Monitoring ; Flow measurement ; Water level measurement ; Data collection ; Surface water ; Water availability ; Water use ; Irrigation schemes ; Small scale systems ; Water supply ; Urban areas ; Rural settlement ; Drinking water ; Domestic water ; Industry ; Hydropower ; Livestock ; Rainfed agriculture ; Irrigated farming ; Farmer-led irrigation ; Water resources ; Water management ; Planning ; Stakeholders ; Partnerships ; River basin institutions ; Data management ; Alliances ; Climatic data ; Models / Ethiopia / Abbay Basin / Lake Tana Sub-Basin / Gilgel Abay River / Gumara River / Ribb River
(Location: IWMI HQ Call no: IWMI Record No: H051149)
(3.63 MB)
This working paper was prepared under a research project from the Future Leaders – African Independent Research (FLAIR) fellowship programme – focusing on understanding hydrological changes in the Lake Tana sub-basin, Ethiopia, due to water abstraction, land use and climate change. FLAIR is funded by the UK government’s Global Challenges Research Fund (GCRF) through The Royal Society, UK. The study was jointly conducted by the International Water Management Institute (IWMI) and staff of the Abbay Basin Development Office (ABDO). The paper provides information on the deterioration of streamflow data quality in the sub-basin. It demonstrates how to support the sub-basin by generating primary data and compiling current water abstraction data that are relevant for development planning. The project showed the possibility of conducting such activities with limited financial resources and time constraints but with strong collaboration. This work also demonstrated the need for a data alliance among stakeholders in the sub-basin.
2 Haile, Alemseged Tamiru; Geremew, Y.; Wassie, S.; Fekadu, A. G.; Taye, Meron Teferi. 2023. Filling streamflow data gaps through the construction of rating curves in the Lake Tana Sub-basin, Nile Basin. Journal of Water and Climate Change, 14(4):1162-1175. [doi: https://doi.org/10.2166/wcc.2023.372]
Stream flow ; Discharges ; Water levels ; Monitoring ; Tributaries ; Rivers ; Lakes ; Catchment areas ; Hydrology ; Collaboration / Ethiopia / Nile Basin / Lake Tana Sub-Basin / Gilgel Abay River / Gumara River / Ribb River
(Location: IWMI HQ Call no: e-copy only Record No: H051823)
https://iwaponline.com/jwcc/article-pdf/14/4/1162/1212045/jwc0141162.pdf
https://vlibrary.iwmi.org/pdf/H051823.pdf
https://vlibrary.iwmi.org/pdf/H051823.pdf
(0.90 MB) (924 KB)
In recent decades, streamflow data remain inaccessible for most river gauges in Ethiopia due to a lack of updated stage–discharge relationships, also called rating curves. In this study, researchers and hydrologic technicians collaborated to fill the recent streamflow data gaps at three gauging stations in the Lake Tana sub-basin of the Nile River. We conducted extensive field campaigns to improve the coverage of stage–discharge measurements for rating curve development. We evaluated the rating curve uncertainty during the time of its establishment and the sensitivity of the rating curves to sample size. The stage–discharge measurements conducted by the hydrological agency during the period 2016–2020 were found inadequate in number and coverage to establish reliable rating curves. Hence, converting recent water level measurements to discharge data was made possible using the rating curves developed in this study. The converted discharge data will be accessible to researchers to investigate the sub-basin’s hydrology. Our study emphasizes the need to improve the stage–discharge measurement frequency to keep up with the frequent change in the morphology of the rivers’ channels. The study demonstrated that collaboration between the data provider and data users can improve streamflow data availability and accessibility, which has become an increasing global challenge.
3 Khadim, F. K.; Bagtzoglou, A. C.; Dokou, Z.; Anagnostou, E. 2023. A socio-hydrological investigation with groundwater models to assess farmer’s perception on water management fairness. Journal of Hydrology, 620(Part B):129481. [doi: https://doi.org/10.1016/j.jhydrol.2023.129481]
Hydrological modelling ; Groundwater ; Farmers ; Water management ; Irrigation management ; Irrigation water ; Precipitation ; Soil moisture ; Villages ; Communities / Ethiopia / Amhara region / Koga Reservoir / Koga Irrigation Project / Kudmi Kebele / Mecha Woreda / Quashni Irrigation Project / Gayta Kebele / Dangishta Woreda / Gilgel-Abay River / Lake Tana / Upper Blue Nile River
(Location: IWMI HQ Call no: e-copy only Record No: H051906)
(8.77 MB)
Water management in the Upper Blue Nile (UBN) region of Ethiopia often entails fragmented efforts to supplement rainfed agriculture with surface water and reservoir-based irrigation schemes. On top of the broader climate change, drought and water food insecurity issues, the irrigation managers inability to accommodate farmer perceptions into sophisticated designs for resource utilization creates a fragile system from the root level. Driven by this, the objective of this research is to carry out a socio-hydrological investigation to highlight how hydrological models can be used to map farmers’ perception on irrigation water adequacy and water management fairness. The study uses predictions from a calibrated MODFLOW-NWT groundwater (GW) model in two irrigated communities of Ethiopia, namely, the Koga Reservoir (‘closed’ community) and the Quashni River (‘open’ community) irrigation project areas. Farmer perceptions were studied through detailed household surveys (n = 172 households), which were then statistically analyzed through logistic regression models under different sociological conjectures. The socio-hydrological investigation revealed that the local GW models were in good agreement with farmers’ raw perception on irrigation water adequacy, and the fairness of irrigation management. Findings from this research would help advance our understanding in socio-hydrological feedback of complex irrigation structures, as well as underscoring key sociological constraints of irrigation development in emerging communities.
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