Speciation of Mercury in Coal-Fired Power Station Flue Gas<sup>†</sup>
Bibliographic record
Abstract
Mercury is a potentially toxic trace metal. Mercury exists naturally in coal in very low concentrations, having been incorporated during the coalification process. Consequently, coal-fired power stations are a major anthropogenic source of mercury because of the large quantity of coal used for electricity generation. In the environment, mercury transforms into methylmercury, a potential neurotoxin, bioaccumulates in aquatic biota, and subsequently, enters the food chain. The subsequent environmental fate and ability to capture mercury prior to emission are dependent upon its different physicochemical forms and oxidation states, known as speciation. In this work, speciation of mercury was conducted at five different coal power stations across Australia (one in New South Wales, three in Western Australia, and one in Queensland) by the Ontario Hydro sampling and analysis method. The total Hg concentrations in the emissions of these plants were found to be in the range of 1.9−5.6 μg Nm −3 . Particle-bound mercury Hg P occurred in very low proportions of 0.3−3.7%, while variable proportions of Hg 0 and Hg II were observed. Kinetic calculations were performed assuming a homogeneous system to understand role of the chlorine/mercury ratio of feed coal in the oxidation of mercury during power station combustion. Results from this study are compared to previous work published in the literature and discussed with respect to operating parameters of the power station.
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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 | 0.000 |
| 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) | 0.002 | 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".