When completed, the Renaissance Dam on the Blue Nile River will be the largest hydropower dam in Africa. The consequent reduction of sediment fluxes to the lower Blue Nile by the Grand Ethiopian Renaissance Dam (GERD) is expected to impact agricultural production, river channel morphology, and downstream reservoirs’ management. Due to its vicinity, Roseires Dam is expected to be the most affected. This study assesses sedimentation in the GERD and its impact on Roseires sedimentation. A novel approach was used, combining flow velocities from a 2D hydrodynamic model (Delft3D) with empirical trap efficiency (TE) formulas by Churchill and Tan. The operational rules of both dams were considered in the TE calculation. Results were verified using Roseires bathymetric surveys. The Blue Nile sediment load was estimated using historical discharge and sediment concentration data (1981–2022) and a data-driven model (ANN) to fill in missing sediment records. Churchill and Tan formulas showed different responses to reservoir capacity and inflow variations, with long-term TE estimates of 92 % (Tan) and 97 % (Churchill). GERD's annual storage loss was calculated at 0.28 % (189 Mm³/year). Roseires's annual storage loss was estimated at 0.26 % before the GERD and is projected to drop to 0.01 % after GERD completion.

Flushing is a common measure to manage and reduce the amount of sediment stored in reservoirs. However, the sudden release of large volumes of sediment abruptly increases the suspended solids concentration and alters the riverbed composition. Similar effects can be produced also by natural flood events. Do flushing operations have more detrimental impacts than natural floods? To answer this question, we investigated the impact of flushing on the survival of the Chinook salmon (Oncorhynchus tshawytscha) in the Sandy River (OR, USA), assuming that sediment is flushed from hypothetical bottom gates of the, now decommissioned, Marmot Dam. The effects of several flushing scenarios are analyzed with a 2D morphodynamic model, together with habitat suitability curves and stress indicators. The results show that attention has to be paid to duration: the shorter the flushing operation, the lesser the stresses on fish survival and spawning habitats. Flushing causes high stress to salmon eggs and larvae, due to unbearable levels of suspended sediment concentrations. It also decreases the areas usable for spawning due to fine-sediment deposition, with up to 95% loss at peak flow. Without the dam, the corresponding natural flood event would produce similar effects, with up to 93% loss. The study shows that well-planned flushing operations could mimic a natural impact, but only partly. In the long-term, larger losses of spawning grounds can be expected, since the removal of fine sediment with the release of clear water from the reservoir is a lengthy process that may be undesirable due to water storage reduction.

Understanding the spatiotemporal dynamics of surface water in varied, remote and inaccessible isolated floodplain lakes is difficult. Seasonal inundation patterns of these isolated lakes can be misestimated in a hydrodynamic model due to the short time of connectivity. The seasonal and annual variability of the Dinder River flow has great impact on what is so called Mayas wetlands, and hence, on the habitats and the ecological status of the Dinder National Park. This variability produces large morphological changes due to sediment transported within the river or from the upper catchment, which affects inflows to Mayas wetlands and floodplain inundation in general. In this paper, we investigated the morphological dimension using a quasi-3D modelling approach to support the management of the valuable Mayas wetlands ecosystems, and in particular, assessment of hydrological and morphological regime of the Dinder River as well as the Musa Maya. Six scenarios were developed and tested. The first three scenarios consider three different hydrologic conditions of average, wet and dry years under the existing system with the constructed connection canal. While the other three scenarios consider the same hydrologic conditions but under the natural system without an artificial connection canal. The modelling helps to understand the effect of human intervention (connection canal) on the Musa Maya. The comparison between the simulated scenarios concludes that the hydrodynamics and sedimentology of the Maya are driven by the two main factors: a) the hydrological variability of Dinder River; and b) deposited sediment plugs in the connection canal.