Characterization of Mercury Emissions from a Coal-Fired Power Plant
Bibliographic record
Abstract
An emissions study for mercury was conducted at a 300 MW coal-fired plant equipped with an electrostatic precipitator (ESP). The input and output streams such as coal, slag, ESP ash, and flue gas were collected. Gaseous mercury was sampled using the Ontario Hydro method. The experimental data indicate that the majority of mercury goes into flue gas. The mercury quantity in flue gas to total combustion products is about 83%. The distribution of mercury in slag and fly ash is about 1 and 13%, respectively. The result also shows that, among the stack emissions after ESP, the gaseous mercury concentration in the flue gas is about 13−21 μg N - 1 m - 3 . The proportion in particulate form was extremely low; the content of Hg 2+ in flue gas is about 55−69%; and the content of Hg 0 is about 31−45%. In addition, the absorption mechanism of mercury in fly ash was studied. It was found that the mercury concentration in fly ash is independent of the particle size and has a positive correlation with the loss of ignition of fly ash.
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".