Gaseous mercury flux measurements from two mine tailing sites in the Seal Harbour area of Nova Scotia
Bibliographic record
Abstract
During August 2004, mercury (Hg) flux-rates from surface soil were measured at an abandoned gold mining site near Seal Harbour, Nova Scotia. The Hg amalgamation process, used to isolate gold, produced areas of Hg-laden mine tailings. Diurnal measurements of the soil surface exchange of gaseous Hg to the atmosphere and meteorological data from two tailing deposit sites are discussed. These sites have different mining histories resulting in differing levels of Hg in the surface soil (0.05 µg g −1 - Site 1, 23 µg g −1 - Site 2). Site 1 showed a maximum flux-rate during mid-day at 60 ng m −2 hr −1 , declining to c. 5 ng m −2 hr −1 during evening while Site 2 had a mid-day Hg flux-rate of 1292 ng m −2 hr −1 with levels of c. 300 ng m −2 hr −1 during the evening. Mercury flux from each site has continuous diurnal Hg evasion at the soil surface. Correlations of Hg flux-rate with soil temperature, air temperature and solar radiation were evident at both sites and an Arrhenius-type relation of Hg flux with soil temperature was also evident. Data from these sites were compared to flux experiments conducted at impacted and other non-impacted sites in Nova Scotia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".