Analysis of Variability of Atmospheric Pollutants in Ambient Air of Metropolitan City Karachi, and Environmental Sustainability
Bibliographic record
Abstract
It is well known that, air pollution is a composite phenomenon and intense air pollution events are governed by huge number of consistent factors. In this study, we considered the pollutant parameter (NO2, NO, NOx and CO) concentrations and were measured simultaneously during the period 21/11/2009 to 27/02/2010 in city of Karachi. The estimations were carried out to study the variability of pollutant emissions. Time Series analysis confirms the existence of variation in pollutant with mean daily concentration and the results suggest that the concentrations of pollutant over the interval are slowly declined. The relationships NO2 with NOx, NO with NOx and NO2 vs. CO were modeled with linear regression. The results of the linear regression detected underlying strong relationships among pollutant variables. The application of the regression approach confirmed that the NO2 strongly correlated with other paired pollutants. The study will be helpful to the policy makers to control air pollution and the sustainable environment. It also needs to extend this research to study the nonlinear behavior of atmospheric pollutants in perspective of fractal dimension.
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How this classification was reachedexpand
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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".