Ambient Air Quality Monitoring and Management in Moradabad
Bibliographic record
Abstract
The present study deals with the assessment of ambient air quality with respect to Total Suspended Particulates (TSP), Respirable Suspended Particulate Matter (PM10), Sulphur dioxide (SO2) and Nitrogen dioxide (NO2) considered over a period of two years from Sep 2010 to Aug. 2012. Air quality index are used for local and regional air quality management in many cities of the world. The air quality index has been determined at three different sites i.e. PTC (SI), Buddh Bazar (SII) and Mughalpura (SIII) of Moradabad city. The experimental results obtained from the different air quality categories according to national ambient air quality standard at different site as PTC (SI) though looks a clean area, falls under moderate pollution category with 68.78 index value. This may be due to fossil fuel combustion at the outskirts of the parade grounds and burning of dry leaves inside the area. Buddh Bazar (SII) which is a commercial area falls under high air pollution category with 99.48 index value. This site near railway station is extremely congested resulting in slow movement of vehicles, long waits at the signals and a large number of vehicles running during the day and night time. Mughalpura (SIII) is an industrial area, falls under the very high pollution category with 120.99 index value, may be due to the industrial activities i.e. mainly brasswares. Five heavy metals i.e. Cu, Zn, Fe, Cd and Pb were also observed at all the sites. Among the metals highest concentration of Zn was recorded at almost all the sites whereas Cu, Zn and Fe was found higher at industrial site, may be attributed to melting of Brass sillies to prepare the different Brassware items.
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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 | 0.001 | 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".