Seasonal enrichment and depletion of Hg and SO<sub>4</sub> in Little Rock Lake: relationship to seasonal changes in atmospheric deposition
Bibliographic record
Abstract
Hg and SO4 are priority pollutants in fresh waters throughout the northern hemisphere; both have atmospheric sources associated with anthropogenic emissions to the lower troposphere. Although depositional change has had a demonstrable impact on lakes over decadal time scales, effects over shorter time scales remain uncertain. To better understand the responsiveness of lakes to changing pollutant inputs, we examined the coupling of water chemistry to atmospheric deposition over time scales of weeks to years in Little Rock Lake. The results indicate that the lake is tightly coupled to its air shed with respect to Hg. The annual cycle of Hg in surface waters closely tracks the annual cycle of Hg in precipitation. For SO4, the annual cycle in lake water is damped and not in phase with the cycle of atmospheric deposition because of more intense internal recycling. These observations are in keeping with the residence times of Hg and S in lake water (Hg in months; S in years). Nevertheless, because atmospheric deposition is the dominant source of both pollutants, trends in lake water track trends in precipitation over a decadal time scale. Thus, remote lakes may be highly responsive to short term changes in Hg deposition, whereas responses to SO4 deposition may be more gradual.
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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) | 0.001 | 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".