Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
Awad M. Ali,Lieke A. Melsen,and Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Water Research Center, Faculty of Engineering, University of Khartoum, P.O. Box 321, Khartoum, Republic of the Sudan
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
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Total article views: 8,778 (including HTML, PDF, and XML)
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and 19 with unknown origin.
Total article views: 5,810 (including HTML, PDF, and XML)
Thereof 5,810 with geography defined
and 0 with unknown origin.
Total article views: 2,968 (including HTML, PDF, and XML)
Thereof 2,860 with geography defined
and 108 with unknown origin.
Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Using a new approach based on a combination of modeling and Earth observation, useful...
