Anthropogenic and Geogenic Mercury in Surface Waters in the Mature Bathurst Mining Camp, New Brunswick, Canada
Bibliographic record
Abstract
Abstract Interactions between a cyanide leach used for Au extraction and cinnabar-bearing gossan tailings at the Murray Brook mine have led to the development of an Hg-enriched contaminated groundwater plume that discharges to the nearby Gossan Creek. Naturally occurring cinnabar in the area poses a challenge in distinguishing mining-related contamination from background Hg concentrations. Surface water data from throughout the Bathurst Mining Camp was used to establish interelement relationships compared to pH and the spatial distributions of Hg, SO42−, Cl, Cu, NO3−, Zn, Pb, and Ca/HCO3− values. Statistical significance of anomalous measurements was evaluated to assess geogenic versus anthropogenic contributions of mining associated elements. Watershed analysis indicated that the Murray Brook tailings facility may sit on a basinal divide with potential for tailings leachate-impacted groundwater and surface water migration toward the northeast as well as northwest toward Gossan Creek. Elevated NO3− was detected in two streams south-west of Gossan Creek alongside greater than normal Hg concentrations. Other locations in the study area away from the Murray Brook area show little geochemical evidence for impact of mining on surface waters despite Hg concentrations as high as 0.019 µg L-1. Points with geogenic Hg concentration on the order of 0.01 µg L-1 were observed throughout the study area, particularly in the Upsalquitch River tributaries south-west of Gossan Creek and in the surface waterbodies west of the Restigouche deposit, indicating weathering of cinnabar-bearing gossan.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 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".