Predicted and Field-Measured Resuspension of Flooded Mine Tailings
Bibliographic record
Abstract
Shallow water covers are often implemented over sulphide-bearing mine tailings to reduce oxygen uptake by the tailings and, consequently, acid generation. At some sites, however, wind-induced waves could resuspend the tailings and possibly impact the quality of the overlying water cover. Wind-induced resuspension was investigated for a base metal mine site using published semiempirical predictive methods, measured tailings properties, and field measurements. The results of the predictions were compared with field measurements. Tailings erosion occurred when the bed shear stress due to the wave-induced oscillatory flow and countercurrent flow exceeded the measured critical shear stress, 0.12<τc<0.17 Nm-2, of the tailings. For this site and for the maximum hourly average wind speed of 10 m/s observed during the study, the critical depth for tailings resuspension was predicted to be 1.18–1.34 m. Field data suggested that tailings resuspension occurred primarily in parts of the tailings pond where the water cover depth was 1 m or less. Following erosion and resuspension, tailings were carried by surface drift current and bottom return currents to deeper locations.
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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 | 0.001 | 0.001 |
| 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 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".