Mercury Release during Thermal Treatment of Two Coal Gangues and Two Coal Slimes under N<sub>2</sub> and in Air
Bibliographic record
Abstract
The mercury release from coal gangue and coal slime has attracted wide interest, because of the utilization of coal gangue and coal slime in some power plants. In order to develop the Hg control technology, it is necessary to gain the information on the Hg release during thermal treatment of coal gangue and coal slime. This paper presents a study about Hg release during thermal treatment of two coal gangues and coal slimes under air and N 2 atmosphere through the online atomic fluorescence spectroscopy aided with the Ontario Hydro Method. The result shows that the release profiles of Hg for the two coal gangues and two coal slimes are similar under the same atmosphere, respectively. Most of the Hg is released at <650 °C under a N 2 atmosphere and at<500–550 °C under air for all of the samples. The release ratio of Hg 2+ is much lower than that of Hg 0 for each sample. The release ratio of Hg 0 released under N 2 is more than that under air. Because of the high volatility of Hg, the release ratio of total Hg is much higher than the corresponding volatile yield in any case investigated in this study. Meanwhile, the Hg 0 release profiles for the samples show two or three peaks under N 2 atmosphere, suggesting that different modes of occurrence of mercury are presented in the coal gangues and coal slimes.
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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".