Analysis on the variation trend and influence factor of ambient air quality in Xiaoshan district
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The environmental monitoring data of air pollutants in Xiaoshan district during 11th Five-Year Plan period(from 2005 to 2010) were evaluated by air quality comprehensive pollution index,air pollution index(API) and Daniel trend test method to study the variation trend and influence factor of air quality.Result showed that PM10 was the primary pollutant of atmosphere pollution in Xiaoshan district;the concentration of SO2,PM10 and the value of comprehensive pollution index were increased first and decreased,they presented a generally insignificant downward trend during the year 2007 to 2010,indicating the air quality was improved after 2007.The NO2 pollution load was rising year by year;the correlation analysis results and NO2/SO2 ratio suggested that the air pollution pattern in Xiaoshan district was transferring from coal burning pattern to mixed pattern.The monthly average API value was highest in the fourth quarter,and the following in order was the first quarter,the second quarter and the third quarter.Environmental protection policies such as the control of pollution sources,the improvement of energy efficiency,use clean energy and implement advanced environmental standards plays a crucial role in improving the air quality.
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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) | 0.000 | 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 it