Residual emissions of CFC-11 and CFC-12 in the São Paulo metropolitan area
Bibliographic record
Abstract
A study of atmospheric chlorofluorocarbons CCl3F (CFC-11) and CCl2F2 (CFC-12) was performed in the Metropolitan Region of São Paulo - MRSP (23.5ºS; 46.6ºW) during 2002. For the quantitative determination of the CFC concentration, a gas chromatograph with electron capture detector (ECD) was optimized with relative precision of 1.0%. In the MRSP, the observations of CFC-12 showed that there are large spatial and temporal variations in their concentrations (540.1 to 1395.8 pptv), while the CFC-11 concentrations did not show any statistically significant variation. Daily samplings were performed in June, July, August, September, November and December and showed that the emissions of CFC-12 were concentrated on weekdays (Monday to Friday), relating the emissions of this gas with its use in air conditioning and refrigeration systems of commercial and industrial buildings. The spatial variation observed in monthly campaigns in MRSP (April, May, June, July, August and September) and their matching with the predominant local wind direction evidencing the existence of a source region of CFC-12, located in the central area of the city. These results are indicative that emissions of CFC-12 are still significant. The monitoring of the mixing ratios of these gases in large cities like São Paulo can add to evaluate how the countries are following the Montreal Protocol, which restricts the production and trading of CFCs in developing countries, and schedule their banishment to 2010.
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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 | 0.001 | 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".