Emission characteristics of arsenic and mercury from a 300 MW coal-fired power plant
Bibliographic record
Abstract
An emissions studies for arsenic and mercury were conducted at a 300 MW coal-fired power plant.The solid streams such as coal,bottom ash and ESP ash were collected,and the arsenic and mercury in the flue gas around ESP were aslo directly sampled using Ontario Hydro Method and then tested.The results show that the arsenic concentration in fly ash is about 6.68×10-6,which is almost 2.5 times as that in coal,nevertheless that in bottom ash is only 1.70 ×10-6.Its concentration in the flue gas is 153.27 and 41.13 μg/m3 before and after ESP,respectively.The mercury concentration in coal,fly ash and bottom ash is about 2.5×10-7,1.9×10-7 and 1.5×10-7 respectively,its concentration in the flue gas before and after ESP was about 5.49 and 5.21 μg/m3.Arsenic is significantly concentrated in fly ash,whereas mercury is not.ESP unit has obvious synergistic effect on arsenic removal up to 71%,while it is not obvious for mercury removal.
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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) | 0.005 | 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".