Erosion characteristics and resuspension of sub-aqueous mine tailings
Bibliographic record
Abstract
The use of shallow water covers for containing sulfide bearing mine tailings in non-arid climates has gained importance over the years due largely to their effectiveness as oxygen barriers. In spite of the numerous documented benefits of these covers, some fundamental questions on the application of the technology still remain; a major one being the contribution of the nature of the tailings particles to the overall performance of the cover. Many of the existing tailings ponds have been designed assuming cohesionless sediment behavior. Total suspended solids and sediment trap measurements at some existing water cover sites, designed using the cohesionless sediment approach, have indicated significant resuspension at these sites. The present study provides information on the cohesive nature of sulfide mine tailings particles using particle size and mineralogical data and results of laboratory erosion experiments. The results show that the erosion patterns for tailings particles are similar to those reported for cohesive natural sediments. A power law erosion equation is proposed for calculating erosion rates and estimating the optimal water cover depth for flooded mine tailings.Key words: sulfide mine wastes, subaqueous disposal, erosion character, cohesive sediments, erosion shear stress relationship.
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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 | 0.001 | 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".