Effects of snow melt infiltration and geochemical oxidation on the distribution of sulphate in reclaimed oil sands shale overburden
Bibliographic record
Abstract
A key risk to reclamation covers over oil sands shale overburden is salinization of the cover soil due to salt transport from the underlying shale. The objective of this study was to evaluate controls on salt ingress based on observations and modelling of the transport of a conservative chemical species, chloride (Cl-), and a produced species, sulphate (SO42-) within reclamation profiles at the South Bison Hills overburden dump located north of Fort McMurray, Alberta, Canada. The SO42- is produced as a result of pyrite oxidation. Previously developed water dynamics models, including a fully coupled water and heat transfer model (CM) and a modified CM model (CM-EI) to account for enhanced snow melt infiltration, were coupled with an advective-dispersive transport model to simulate the observed Cl- profiles and concomitantly constrain the solute transport parameters. This transport model was then used to simulate SO42- migration to evaluate the impact of pyrite oxidation (i.e. depth and SO42- production rate) on the evolving SO42- profiles. It was found that the observed SO42- distributions could be simulated using an initially low rate of SO42- production (0.1 g SO42- m-2 d-1) in the first 5 years while macropore development as a result of freeze/thaw and wet/dry cycling was occurring, followed by a higher rate (0.62 g SO42- m-2 d-1) once this soil structure evolution was complete. These average rates were applied over a shale depth of 0.75 m, consistent with field observations of oxygen ingress. Mass balance estimates using measured available pyrite suggest that at these rates oxidation could continue for approximately 93 years. Inclusion of enhanced snow melt (CM-EI model) results in higher rates of both net percolation and evapotranspiration (ET). The increased net percolation enables more rapid flushing of the produced SO42- deeper into the profile; however, the increased ET also draws produced SO42- into the cover soils. It is therefore likely that short-term soil salinization of the base of the covers is exacerbated by increased snowmelt infiltration, while in the long run salinity levels will drop due to increased net percolation.
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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) | 0.000 | 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".