Mercury emission characteristics from municipal solid waste incineration in Pearl River Delta region
Bibliographic record
Abstract
Flue gas,fly ash,bottom ash,and coal samples were collected from eight municipal solid waste incineration plants in the Pearl River Delta (PRD),six of which used grate furnace combustor (GFC) and two used circulation fluidized bed combustor(FBC),using the Ontario Hydro (OH) method to analyze total mercury (THg).The mean concentrations of THg in flue gas from GFC plants and FBC plants were(51.4± 28.3) and (19.5±13.6) μg·Nm-3,respectively.Fly ash contained much higher THg (6674 μg·kg-1 for GFC incinerator,and 2135 μg·kg-1 for FBC incinerator,respectively) than bottom ash (70 μg·kg-1 for GFC incinerator and 30 μg·kg-1 for GFC incinerator,respectively).During waste combustion for GFC,mercury can be released via flue gas,fly ash,and bottom ash with the percentages of 70.8%,26.3%,and 2.9%,respectively.However,for FBC,mercury emission via flue gas accounted for 33.2% of the total.The average amount of mercury in municipal solid waste (MSW) in the PRD was calculated to be 0.293 mg·kg-1 based on its mass balance.And the emission of mercury from FBC plants contributed 31.6% of the total due to coal added in incineration.
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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 | 0.001 | 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) | 0.000 | 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".