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.
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 | 0.000 | 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".