HYDROLOGICAL AND ENVIRONMENTAL IMPACTS OF GRAND ETHIOPIAN RENAISSANCE DAM ON THE NILE RIVER
Bibliographic record
Abstract
The Nile River (NR) is an international river shared by eleven riparian countries. It is the primary water resource and the life artery for its downstream countries such as Egypt and Sudan. In Ethiopia which is one of most important water sources of the NR, a study for constructing the Renaissance dam on the Blue Nile close to its border with Sudan was initiated. The dam is designed to create a reservoir that will have a capacity of holding about 74 billion cubic meters of water at the full supply level. This paper aims to study the effects of constructing such dam on the NR streamflow, especially downstream the dam and its impacts on Egypt and Sudan. The study includes simulation works for all possible scenarios from starting the dam construction up to reaching the full capacity of its reservoir to identify impacts of this dam on the Ethiopia and the downstream countries. The possibility of the dam damage also investigated via simulations from HEC-RAC model. Results showed some merits and many drawbacks of this project on the Nile streamflow. Results showed also the weakness of the design and referred to the possibility of impacts due to the dam breach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".