Volatilization of Potentially Harmful Trace Elements in Coal Pyrite during Heat Treatment in a Tube Furnace at 573–1473 K
Bibliographic record
Abstract
Some potentially harmful trace elements, such as Sb, As, and Hg, are usually associated with pyrite in coals and can be threats to the environment and human health. In this study, the release of 12 selected elements generally associated with pyrite was investigated during heat treatment in a tube furnace to access their behavior during combustion. FactSage has been used to calculate their behavior with the increase in temperature. Nickel, Cu, Zn, Cr, and Cd are more enriched in the samples containing syngenetic pyrite than in other samples. Other elements are generally more enriched in the samples containing epigenetic pyrite than in other samples. The volatilization of elements with a very high volatility, such as Hg and As, was complete at high temperatures in most samples. For other most elements in this study, the volatilization of a specific element in different samples is generally different. During heat treatment, the selected elements, according to their volatilization, can be classified into three groups: low, medium, or high volatility. At the conditions of this study, the volatilization of trace elements is influenced strongly by their inherent volatility, moderately by their modes of occurrence, and weakly by the pyrite types. The volatility-based behavior of the selected trace elements in FactSage calculation is generally consistent with their classification during heat treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".