Level of Major Air Pollutants and the Variation Law in the City of Suining
Bibliographic record
Abstract
Based on the environmental data monitored during the period from January 1,2006 to December 31,2010,analysis and evaluation was made of the variation law of the air pollutants in the Suining City by aid of API index method.The results showed that the daily average concentration of PM10 in each functional area is 0.077-0.123 mg/m3;sulphur dioxide is 0.030-0.043 mg/m3;nitrogen dioxide is 0.022-0.025 mg/m3 and API is below 100.As for the with-time variation,the overall performance of PM10 pollution in each functional area is as follows: the pollution of the first quarter is relatively serious;the second quarter is the second worst,the fourth quarter is the third worst and the third quarter is the least serious in terms of air pollution.In regard of spatial change,pollution in the southern industrial area(where the Qunkang Printing and Dyeing Mill is located) is relatively heavier;next to it comes the western section of the city(where the Monitoring Station is located) and the Hedong New Area(where the City Administration Center is situated) enjoys the best.enviromental quality.It is suggested that the chief air pollutants in the Suining city are from inhalable particles.
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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 | 0.001 |
| 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".