Implementation of a New Bank Erosion Model in Delft3D
Bibliographic record
Abstract
Bank erosion plays an important role in the hydro-morphodynamics and evolution of natural rivers. Therefore, it is essential to have a reliable bank erosion model for accurate simulation of hydro-morphodynamic processes. We developed and successfully implemented a new, feasible bank erosion model in Delft3D software. The developed model considers physical bank erosion processes to a greater extent than previous models. Model performance was assessed by comparison with a previously reported experiment in a mobile-bed-and-bank laboratory open-channel bend flume. The results from our developed model were compared with those from the standard Delft3D and angle of repose bank erosion models. We showed that progressive lateral bank erosion as well as the corresponding hydro-morphodynamics of the channel were better predicted by the developed bank erosion model. The results of this study provide insight into bank erosion prediction with Delft3D, and they suggest that the developed model will improve the performance of the Delft3D model for short- and long-term hydro-morphodynamic simulation of natural meandering rivers.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".