| Citation: | ZHANG Y L,WU R,YANG X W,et al.Research on air pollution characteristics and influencing factors of typical urban road traffic densified monitoring stations[J].Journal of Environmental Engineering Technology，2023，13（3）：929-939 doi: 10.12153/j.issn.1674-991X.20221266
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Based on the requirements of the 14th Five-Year Plan (2021-2025) of ecological environment monitoring, aiming at the lack of study about air pollution characteristics and influencing factors of typical urban road traffic densified monitoring stations in China, the concentrations of six conventional air pollutants and meteorological parameters were monitored at different points and heights on both sides of typical roads in Lanzhou City, Gansu Province, where mobile sources were the main source of air pollution. Meanwhile, road traffic flow and vehicle type information were acquired to explore the characteristics and influencing factors of air pollution. The results showed that there existed differences in the concentrations of air pollutants on both sides of the road and at different locations on the same side of the road. The concentrations of PM2.5 and PM10 declined with the height of the monitoring sites increasing, peaking at 2-meter height, whereas SO2, NO2, CO, and O3 showed a trend of first increasing and then decreasing with height, reaching their highest concentrations at 4-meter height. Hourly concentrations of SO2, NO2, PM2.5, PM10 and CO peaked at 05:00 to 09:00 and troughed at 15:00 to 17:00; while O3 peaked and troughed at exactly the opposite time. The concentrations of NO2 and CO were greatly affected by the traffic flow. Furthermore, NO2 concentrations had a very strong correlation with the volume of heavy-duty trucks and CO concentrations had a strong correlation with the volume of light-duty passenger vehicles during the representative time period. During the monitoring period the daily average concentrations of the six pollutants were negatively correlated with relative humidity; the daily average concentrations of NO2, PM2.5, PM10 and CO were negatively correlated with wind speed, while O3 was positively correlated with wind speed.
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