Physico-Chemical Analysis of Solid Aerosols Generated from Different Industries of Faisalabad
Bibliographic record
Abstract
The physical, chemical and electrical characteristics of industrial aerosols generated from different industries of Faisalabad were investigated not only to improve the industrial setup efficiency but also to reduce the environment pollution generated due to these industries. XRPD technique was employed to study these samples which showed the presence of illite, Quartz, calcite, dolomite, gypsum and chlorite as major phases. The values of resistivity of solid aerosols are in high range (0.07×107 to 4.0×109 ?m) conversely the electrical conductivities are in lower range (0.21-13.30Mho), may be due to high components of Fe2O3 and CaO. Coal fly ash and foundry aerosols do precipitate well in the electrostatic precipitator given their operational temperature and moisture content so it is recommended that by changing the temperature and moisture content of the precipitator its cleaning action and hence the industrial efficiency may be improved. The most of the solid aerosols are alkaline therefore acidic rain probability in near future is completely ruled out. 80% basic (Dark color), 20% acidic (light color) of particulate matter confirms our experimental findings. The SEM analysis of particulate matter showed the presence of a variety of patches but confirms the dominance of industrial cum transportational aerosols interlocking and soot particles. Finally comprehensive research and administrative based solution to tackle the issue without affecting the development process is suggested.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".