Abstract
In order to discuss the particle size distribution characteristics in the roadside microenvironment. ELPI+ was used to collect size distribution data of atmospheric particles from four typical roadsides in downtown Tianjin, China. And the traffic flow data and meteorological data were monitored at the same time. It was found through statistical analysis that the number concentrations of PM1 and PM2.5 were 43,089 cm−3 and 43,268 cm−3, respectively. The particle number concentrations were much higher in winter. Besides, it decreased with the particle size. The particulate matter was dominated by nanoparticles (6–27 nm), accounting for 80.53% on average. The particle area, volume, and mass concentrations generally increased with the increase in particle size. For the four types of roads, the overall trends of particle size distribution were basically the same. And the particle number concentrations were higher at artery roads and outer ring road than at the other two roads. The correlation analysis results showed that the particle number and mass concentrations had negative correlations with traffic volume and vehicle speed. The meteorological parameters also affected the particle concentration levels. The particle size distribution was the result of combination effects of the nucleation, traffic emission, and secondary aerosol in the urban roadside microenvironment.
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Data Availability
The data that support the findings of this study are available from the corresponding author, Hongjun, Mao, upon reasonable request.
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Acknowledgements
The authors would like to thank the Nankai University and Tianjin Ecology and Environment Bureau for their support on the sampling work in this study.
Funding
This study was funded by the Ministry of Science and Technology of the People’s Republic of China (No. 2013FY112700-05) and the National Natural Science Foundation of China (No. 21607081).
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Fang, X., Wu, L., Zhang, Q. et al. Study on Particle Size Distribution Characteristics in Urban Roadside Microenvironment Using an ELPI+. Water Air Soil Pollut 233, 467 (2022). https://doi.org/10.1007/s11270-022-05942-w
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DOI: https://doi.org/10.1007/s11270-022-05942-w