Downstream water quality impacts persist despite mountaintop coal mine reclamation in the Canadian Rocky Mountains
Bibliographic record
Abstract
Reclamation is a requirement of mountaintop coal mines. Many jurisdictions require a return to predevelopment condition or to equivalencies based on unimpacted (i.e., upstream) reaches. Here we summarize decades of government and industry water quality monitoring and research spanning the onset, operation, closure, and reclamation of three Rocky Mountain coal mines in Alberta, Canada. The mines all occur within the McLeod River basin, offering opportunities to examine cumulative inputs and impacts. Selenium concentrations remain elevated and above guidelines for the protection of aquatic life decades after mine closure and reclamation despite regulatory requirements for the opposite. But the water quality impacts extended beyond selenium. Higher concentrations of a broad suite of both solutes and particle-bound heavy metals were noted downstream of all three mines, with impacts most obvious in Luscar Creek and Gregg River – tributaries to the McLeod River. After decades of coal extraction, changing regulatory requirements, and near complete reclamation of one coal mine, water quality remains negatively impacted with higher concentrations of ions, nutrients, and metals downstream of coal mines. These results suggest current reclamation practices and regulatory requirements for water quality and aquatic ecosystems are not meeting the desired objectives. • Multiple mountaintop coal mines occur within the McLeod River basin of Alberta's eastern slopes. • The coal mines are a known source of selenium to downstream ecosystems. • Selenium remains elevated in regional rivers, despite regulatory requirements for the opposite. • Reclamation criteria are failing to achieve the desired outcomes and regulatory objectives.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".