Particulate matter (PM) is one of the principal components of industrial air pollution due to its respirable size range and its ability to adsorb and transport other chemical pollutants, posing significant risks to both human health and the environment. Present in both solid and liquid forms, PM exerts effects on local, regional, and global scales. In this study, industrial flue gases were systematically monitored for dust concentrations and emissions, along with key operational parameters such as flow velocity, temperature, and humidity. The measurement results were analyzed to determine the interactions among these parameters and to establish optimized conditions for representative dust sumpling. This study indicates that flue gas temperature plays a critical role in the representativeness of dust sampling.
At low temperatures (≈16–50 °C), the observed fluctuations reflect the inherent differences between stacks rather than measurement uncertainty, ensuring high representativeness. In the medium range (≈50–100 °C), both process stability and sampling reliability are largely maintained, allowing for consistent measurements. At high temperatures (>100 °C), however, dust concentrations appear lower and more stable, which may result from particle volatilization and moisture effects, suggesting potential underestimation of true emissions.
The study is complied with research and publication ethics.
| Primary Language | English |
|---|---|
| Subjects | Air Pollution Modelling and Control |
| Journal Section | Research Article |
| Authors | |
| Submission Date | June 15, 2025 |
| Acceptance Date | December 18, 2025 |
| Publication Date | December 31, 2025 |
| DOI | https://doi.org/10.17798/bitlisfen.1719869 |
| IZ | https://izlik.org/JA89KF69TR |
| Published in Issue | Year 2025 Volume: 14 Issue: 4 |