A computationally efficient and fully coupled model for sediment-borne contaminant transport
Bibliographic record
Abstract
The river flow, sediment transport, bed deformation and contaminant transport are strongly coupled under the impacts of climate change and anthropogenic activities. Two-dimensional (2D) mathematical models are practical tools for predicting the morphodynamic processes and contaminant transport while their computational efficiency is a key impediment to simulations featuring large scales of time and space, especially when refined meshes are required for key spot such as hydraulic structures. Therefore, a computationally efficient and fully coupled 2D model for sediment-borne contaminant transport is established under the framework of Finite Volume Method on unstructured meshes in this paper. The computing strategies of local time stepping, parallel computing and high performance clusters are employed, which can speed up the computation and reduce the run time drastically. The model is tested against three experimental cases and one idealized test case, where numerical solutions are in general agreement with the measured data and analytical solution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".