Deterioration of streamflow monitoring in Omo-Gibe basin in Ethiopia

References

• Alsdorf, D., et al., 2016. Opportunities for hydrologic research in the Congo Basin. Reviews of Geophysics, 54, 378–409. https://doi.org/10.1002/2016RG000517
   Web of Science ®Google Scholar
• Avery, S. and Tebbs, E., 2018. Lake Turkana, major Omo River developments, associated hydrological cycle change and consequent lake physical and ecological change. Journal of Great Lakes Research, 44 (6), 1164–1182. doi:10.5194/piahs-366-80-2015
   Web of Science ®Google Scholar
• Blume, T., van Meerveld, I., and Weiler, M., 2017. The role of experimental work in hydrological sciences – insights from a community survey. Hydrological Sciences Journal, 62 (3), 334–337: https://doi.org/10.1080/02626667.2016.1230675
   Web of Science ®Google Scholar
• Buishand, T.A., 1982. Some methods for testing the homogeneity of rainfall records. Journal of Hydrology, 58 (1–2), 11–27.
   Web of Science ®Google Scholar
• Buishand, T.A., 1984. Tests for detecting a shift in the mean of hydrological time series. Journal of Hydrology, 73, 51–69.
   Web of Science ®Google Scholar
• Burt, T.P. and McDonnell, J.J., 2015. Whither field hydrology? The need for discovery science and outrageous hydrological hypotheses. Water Resources Research, 51, 5919–5928. doi:10.1002/2014WR016839
   Web of Science ®Google Scholar
• Crochemore, L., et al., 2020. Lessons learnt from checking the quality of openly accessible river flow data worldwide. Hydrological Sciences Journal, 65 (5), 699–711. doi:10.1080/02626667.2019.1659509
   Web of Science ®Google Scholar
• Croneborg, L.E.M., 2013. Project information document (Concept stage)—strengthening hydro-meteorological and climate services in DRC - P144712, World Bank, Washington, D. C. [ Available at http://documents.worldbank.org/curated/en/2013/07/18173416/project-informationdocument-concept-stage-strengthening-hydro-meteorological-climate-services-drc-p144712 last accessed 11 November 2021
   Google Scholar
• Cudennec, C., et al., 2020. Editorial – towards FAIR and SQUARE hydrological data. Hydrological Sciences Journal, 65 (5), 681–682. doi:10.1080/02626667.2020.1739397
   Web of Science ®Google Scholar
• Dávid-Barrett, E. and Fazekas, M., 2020. Anti-corruption in aid-funded procurement: is corruption reduced or merely displaced? World Development. 132. 10.1016/j.worlddev.2020.105000
   PubMed Web of Science ®Google Scholar
• Degefu, M.A. and Bewket, W., 2017. Variability, trends, and teleconnections of stream flows with large-scale climate signals in the Omo-Ghibe River Basin, Ethiopia. Environmental Monitoring and Assessment, 189 (4), 142. doi:10.1007/s10661-017-5862-1
   PubMed Web of Science ®Google Scholar
• Dixon, H., et al., 2020. Intergovernmental cooperation for hydrometry – what, why and how? Hydrological Sciences Journal. doi:10.1080/02626667.2020.1764569
   Web of Science ®Google Scholar
• Dixon, H., Hannaford, J., and Fry, M.J., 2013. The effective management of national hydrometric data: experiences from the United Kingdom. Hydrological Sciences Journal. doi:10.1080/02626667.2013.787486
   Web of Science ®Google Scholar
• Domeneghetti, A., Castellarin, A., and Brath, A., 2012. Assessing rating-curve uncertainty and its effects on hydraulic model calibration. Hydrology and Earth System Sciences, 16, 1191–1202. www.hydrol-earth-syst-sci.net/16/1191/2012
   Web of Science ®Google Scholar
• Donauer, T., et al., 2020. Gap and opportunity analysis of hydrological monitoring in the Ziway-Shala Sub-basin, Ethiopia. Colombo, Sri Lanka: International Water Management Institute (IWMI). 40p. ( IWMI Working Paper 192). https://doi.org/10.5337/2020.210
   Google Scholar
• Drogue, G.P. and Plasse, J., 2014. How can a few streamflow measurements help to predict daily hydrographs at almost ungauged sites? Hydrological Sciences Journal, 59 (12), 2126–2142. doi:10.1080/02626667.2013.865031
   Web of Science ®Google Scholar
• Ferwerda, J., Deleanu, I., and Unger, B., 2017. Corruption in public procurement: finding the right indicators. European Journal on Criminal Policy and Research, 23, 245–267. doi:10.1007/s10610-016-9312-3
   Web of Science ®Google Scholar
• Goshime, D.W., Absi, R., and Ledésert, B., 2019. Evaluation and bias correction of CHIRP rainfall estimate for rainfall-runoff simulation over Lake Ziway Watershed, Ethiopia. Hydrology, 6 (3), 68. doi:10.3390/hydrology6030068
   Web of Science ®Google Scholar
• Grimaldi, S., et al., 2021. Continuous hydrologic modelling for design simulation in small and ungauged basins: a step forward and some tests for its practical use. Journal of Hydrology, 595, 125664. doi:10.1016/j.jhydrol.2020.125664)
   Web of Science ®Google Scholar
• Haile, A.T., et al., 2017. Changes in water availability in the Upper Blue Nile basin under the representative concentration pathways scenario. Hydrological Sciences Journal. doi:10.1080/02626667.2017.1365149
   PubMed Web of Science ®Google Scholar
• Hannah, D.M., et al., 2010. Large-scale river flow archives: importance, current status and future needs. Hydrological Processes, 25 (7), 1191–1200. doi:10.1002/hyp.7794
   Web of Science ®Google Scholar
• Hopson, A.J., 1982. Lake Turkana: a report on the findings of the Lake Turkana project, 1972-75, Volumes 1-6, funded by the Government of Kenya and the Ministry of overseas development. London (report published by the University of Stirling): Overseas development administration. Accessed 30 April 2021 https://books.google.com/books/about/Lake_Turkana.html?id=CTYoAQAAIAAJ .
   Google Scholar
• Houghton-Carr, H. and Fry, M., 2006. The decline of hydrological data collection for development of integrated water resource management tools in Southern Africa. Climate variability and change—hydrological impacts (Proceedings of the Fifth FRIEND World Conference held at Havana, Cuba, November 2006), IAHS Publ. 308, 2006.
   Google Scholar
• Hudson, H.R., McMillan, D.A., and Pearson, C.P., 1999. Quality assurance in hydrological measurement. Hydrological Sciences Journal, 44 (5), 825–834. doi:10.1080/02626669909492276
   Web of Science ®Google Scholar
• IPCC, 2021. Climate change 2021: the physical science basis. Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press.
   Google Scholar
• Jillo, A.Y., et al., 2017. Characterization of regional variability of seasonal water balance within Omo-Ghibe River Basin, Ethiopia. Hydrological Sciences Journal, 8, 1200–1215.
   Web of Science ®Google Scholar
• Kang, H.M. and Yusof, F., 2012. Homogeneity tests on daily rainfall series in peninsular Malaysia. International Journal of Contemporary Mathematical Sciences, 7 (1), 9–22.
   Google Scholar
• Kiang, J.E., et al., 2018. A comparison of methods for streamflow uncertainty estimation. Water Resources Research, 54, 7149–7176. https://doi.org/10.1029/2018WR02270
   Web of Science ®Google Scholar
• Kidd, C., et al., 2017. So, how much of the Earth’s surface is covered by rain gauges? Bulletin of the American Meteorological Society, 98, 69–78. doi:10.1175/bams-d-14-00283.1
   PubMed Web of Science ®Google Scholar
• Mastrantonas, N., et al., 2019. Evaluating the benefits of merging near-real-time satellite precipitation products: a case study in the Kinu Basin Region, Japan. Journal of Hydrometeorology, 20 (6), 1213–1233. doi:10.1175/JHM-D-18-0190.1
   Web of Science ®Google Scholar
• Merritt, D.M., et al., 2010 Theory, methods and tools for determining environmental flows for riparian vegetation: riparian vegetation-flow response guilds. Freshwater Biology, 55 (1), 206–225. doi:10.1111/j.1365-2427.2009.02206.x.
   Web of Science ®Google Scholar
• Mishra, A.K. and Coulibaly, P., 2009. Development in hydrometric network design: a review. Reviews of Geophysics, 47 (2). doi:10.1029/2007RG000243
   Web of Science ®Google Scholar
• Mohammed, A.K., 2013. The effect of climate change on water resources potential of Omo. Gibe Basin, Ethiopia. PhD thesis, p. 200 Germany: Universität der Bundeswehr München.
   Google Scholar
• Muchan, K. and Dixon, H., 2014. Ensuring hydrometric data are fit-for-purpose through a national service level agreement. In, and T.M. Daniell, ed. Hydrology in a changing world: environmental and human dimensions. Wallingford, UK, International Association of Hydrological Sciences: IAHS Press, 323–329.
   Google Scholar
• Nigussie, L., et al., 2020. Citizen science in community-based watershed management: an institutional analysis in Ethiopia. Colombo, Sri Lanka: International Water Management Institute (IWMI). 25p. ( IWMI Working Paper 191). https://doi.org/10.5337/2020.207
   Google Scholar
• Rantz, S.E., et al., 1982. Measurement and computation of streamflow: volume 1. Measurement of stage and discharge. Assessed on 20 April 2020 from https://pubs.usgs.gov/wsp/wsp2175/wsp2175.pdf
   Google Scholar
• Rientjes, T.H.M., et al. 2011a. Changes in land cover, rainfall and stream flow in Upper Gilgel Abbay catchment, Blue Nile basin, Ethiopia. Hydrology and Earth System Sciences, 15, 1979–1989.
   Web of Science ®Google Scholar
• Rientjes, T.H.M., et al. 2011b. Regionalisation for lake level simulation: the case of lake Tana in the Upper Blue Nile, Ethiopia. Hydrology and Earth System Sciences, 15, 1167–1183.
   Web of Science ®Google Scholar
• Rosgen, D.L., 1994. A classification of natural rivers. Catena, 22 169–199. Accessed 20 April 2020. https://www.sciencedirect.com/science/article/abs/pii/0341816294900019 .
   Web of Science ®Google Scholar
• Schröder, S., et al., 2019. Niger discharge from radar altimetry: bridging gaps between gauge and altimetry time series. Hydrology and Earth System Sciences, 23, 4113–4128. doi:10.5194/hess-23-4113-2019
   Web of Science ®Google Scholar
• Selker, J. and Ferre, T.P.A., 2009. The ah ha moment of measurement: introduction to the special section on hydrologic measurement methods. Water Resources Research, 45, W00D00. doi:10.1029/2009WR007966
   Web of Science ®Google Scholar
• Shiklomanov, A.I., Lammers, R.B., and Vorosmarty, C.J., 2002. Widespread decline in hydrological monitoring threatens pan-arctic research. EOS Transactions, American Geophysical Union, 83 (2), 13–17.
   Google Scholar
• Stave, J., et al., 2005. Environmental gradients in the Turkwel riverine forest, Kenya: hypotheses on dam-induced vegetation change. Forest Ecology and Management, 212, 184–198.
   Web of Science ®Google Scholar
• Stewart, B., 2015. Measuring what we manage – the importance of hydrological data to water resources management. Hydrological Sciences and Water Security: Past, Present and Future (Proceedings of the 11th Kovacs Colloquium, Paris, France, June 2014). IAHS Publ. 366.
   Google Scholar
• Sun, Q., et al., 2018. A review of global precipitation data sets: data sources, estimation, and intercomparisons. Reviews of Geophysics, 56, 79–107. https://doi.org/10.1002/2017RG000574
   Web of Science ®Google Scholar
• Tabacchi, E., et al. 2000. Impacts of Riparian vegetation on hydrological processes. Hydrological Processes, 14, 2959–2976.
   Web of Science ®Google Scholar
• Tauro, F., et al., 2018. Measurements and Observations in the XXI century (MOXXI): innovation and multidisciplinarity to sense the hydrological cycle. Hydrological Sciences Journal, 63 (2), 169–196. doi:10.1080/02626667.2017.1420191
   Web of Science ®Google Scholar
• UNEP, 2013. Ethiopia’s Gibe III Dam: its potential impact on Lake Turkana water levels (A case study using hydrologic modelling and multi-source satellite data. In: Division of Early Warning and Assessment (DEWA). Nairobi, Kenya: United Nations Environment Programme, February 2013, 52
   Google Scholar
• Velpuri, N.M. and Senay, G.B., 2012. Assessing the potential hydrological impact of the Gibe III Dam on Lake Turkana water level using multi-source satellite data. Hydrology and Earth System Sciences, 16, 3561–3578.
   Web of Science ®Google Scholar
• WMO, 1994. Hydrological data management: present state and past trends. WMO Operational Hydrology Report, 48, 65. Geneva: World Meteorological Organization.
   Google Scholar
• WMO, 2009. Guide to hydrological practices, volume II: management of water resources and applications of hydrological practices. WMO Report No 168. Geneva: World Meteorological Organization.
   Google Scholar
• WMO, 2010. Manual on stream gauging volume I – Fieldwork, 978-92-63-11044-2. Accessed from http://www.wmo.int/pages/prog/hwrp/publications/stream_gauging/1044_Vol_I_en.pdf
   Google Scholar
• Worako, A.W., Haile, A.T., and Taye, M.T., 2021. Streamflow variability and its linkage to ENSO events in the Ethiopian Rift Valley Lakes Basin. Journal of Hydrology: Regional Studies, 35, 100817. doi:10.1016/j.ejrh.2021.100817
   Google Scholar
• World Bank, 2014. Assessment on the state of hydrological services and proposals for improvement, Phase 1: rapid global assessment - proposals for further in-depth capacity assessment in selected countries, http://www.whycos.org/CHy15/bgdocs/WorldBank-rapid-global-assessment.pdf [ Accessed on 07 March 2021].
   Google Scholar
• World Bank, 2018. Assessment of the state of hydrological services in developing countries. Washington DC: International Bank for Reconstruction and Development/The World Bank.
   Google Scholar
• World Bank, 2019. Weathering the change: how to improve hydromet services in developing countries? Washington, DC: World Bank.
   Google Scholar