The shoreline and morphological responses to storm event at Ras Al-Hekma sandy beaches
Bibliographic record
Abstract
Considering the increasing frequency of storms in addition to the high economical value of potential investments in Ras Al-Hekma, Egypt, this study investigates the morphological responses of the coastline to extreme storm events. Numerical tools SWAN and XBeach models were applied to simulate storm waves and beach evolution respectively. The morphological model was calibrated against recent laboratory wave basin measurements. Results revealed that wave energy concentrates at the headland, causing significant erosion, while milder slopes in the embayment experience sediment accumulation. Quantitatively, the headland retreated by about 12 m, while the embayment advanced 25 m offshore. The study indicates substantial variations in sediment transport, with headlands facing erosion from cross-shore transports and embayments accumulating sediment due to southward alongshore currents. These findings emphasize the need for strategic coastal management to mitigate erosion and flooding risks and support sustainable development. This study provides significant insights for future infrastructure and development projects in the region.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".