Control of wind speed and contact angle on submicron particulate matter sampling

While particulate matter (PM) instruments are widely used for air quality monitoring and policy development, there is limited research on how wind speed (<i>U</i> <sub>0</sub>) and contact angle (<i>θ</i>) affect the measurement accuracy of submicron PM, or particles with their diameters ≤ one µm (PM<sub>1</sub>). This study addresses this gap by employing a wind tunnel experiment with a common sampling system featuring a customized thick-walled cylindrical metal inlet. The results reveal that wind-induced aerosol losses can reach up to 9%, and the sampling efficiency has a negative linear relationship with <i>U</i> <sub>0</sub> and a third-order polynomial relationship with cos(<i>θ</i>). This model demonstrates a significant discrepancy with classic models in predicting sampling efficiency, which indicates the inapplicability of classic sampling efficiency models to submicron aerosols. The findings of this study can help correct wind-induced errors, improve sampling protocols, and develop new predictive models, which have implications for improving hazardous air quality warning systems and safeguarding public well-being.

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Publication Details

Journal
PeerJ
Published
2025-11-04
DOI
https://doi.org/10.7717/peerj.20235
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Control of wind speed and contact angle on submicron particulate matter sampling

Bailiang Li, James R. Cooper, Huang Jia-yun, Ziyang Wang et al.
PeerJ
Air Quality and Health Impacts
article

Control of wind speed and contact angle on submicron particulate matter sampling

Bailiang Li, James R. Cooper, Huang Jia-yun, Ziyang Wang, Yumeng Li, Lei Han, Baokai Sun
article en

Abstract

While particulate matter (PM) instruments are widely used for air quality monitoring and policy development, there is limited research on how wind speed (<i>U</i> <sub>0</sub>) and contact angle (<i>θ</i>) affect the measurement accuracy of submicron PM, or particles with their diameters ≤ one µm (PM<sub>1</sub>). This study addresses this gap by employing a wind tunnel experiment with a common sampling system featuring a customized thick-walled cylindrical metal inlet. The results reveal that wind-induced aerosol losses can reach up to 9%, and the sampling efficiency has a negative linear relationship with <i>U</i> <sub>0</sub> and a third-order polynomial relationship with cos(<i>θ</i>). This model demonstrates a significant discrepancy with classic models in predicting sampling efficiency, which indicates the inapplicability of classic sampling efficiency models to submicron aerosols. The findings of this study can help correct wind-induced errors, improve sampling protocols, and develop new predictive models, which have implications for improving hazardous air quality warning systems and safeguarding public well-being.

PeerJVol. 13
University of Liverpool (GB), Xi’an Jiaotong-Liverpool University (CN)
Fudan University
Openalex Percentile: Top 58%
Air Quality and Health Impacts
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