Reactive Transport Modeling of a Historic Waste Rock Pile at the Detour Lake Gold Mine
Bibliographic record
Abstract
In recent times a lot of emphasis has been placed on environmental sustainability, especially concerning mine waste and management.This includes not only current operations, but those of historic sites as well.Waste rock is one of the largest waste streams produced from mining operations and has often been overlooked in the past.One of the potential byproducts of waste rock is Acid Mine Drainage (AMD), also called Acid Rock Drainage (ARD), from the dissolution of sulfides which can release acidic and metalliferous effluent into the environment.Research is currently ongoing for ways to limit exposure of waste rock to atmospheric conditions.This thesis presents a model of a 1-D, 17 m high, theoretical waste rock pile with a non-reactive cover that would have existed 30 years in the past at the Detour Lake property.Since short term predictions are difficult due to the heterogeneous nature of waste rock and the seasonal variety from one year to the next, the model simulates 30 years of exposure to atmospheric conditions.The project utilizes hydrological and mineralogical work previously done on site along with 30 years of meteorological data to build the model.Similar procedures may be used to model the long-term generation of AMD on other sites and act a tool to test waste rock management strategies.The model demonstrates long-term sulfide dissolution consistent with that of the Shrinking Core Model, such as gradual decreases in sulfate and iron production.This is accompanied with a gradual increase in alkalinity and pH and indicates the carbonate mineral are more than capable of buffering acidity generated from the system.The effluent discharged from the model after 30 years has similar properties to pore water samples collected on-site.Seasonal influxes of water, chiefly melt water and spring rains, had a visible impact on component concentrations.Large infiltrations served as flushing events temporarily increasing concentrations of pore water components and can explain the variety in the sample data collected in the field.Oxygen gas concentrations above 10 m were higher than averages seen in field observations, however atmospheric levels of oxygen were also observed in this data.These results suggest the non-reactive cover alone is not an adequate measure for limiting the production of AMD.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".