Abstract
Based on low-altitude remote sensing of UAV and field monitoring on three roads in Nanjing, this study used the normalized difference vegetation index (NDVI) one-dimensional linear regression analysis, correlation analysis to explore the relationship between different influencing factors and concentration changes of different pollutants in autumn and winter. The results showed that: 1. The use of UAV low-altitude remote sensing to collect vegetation data at road scale coould reflect the change characteristics of road vegetation in autumn and winter, especially the proportion of deciduous plants: among three roads, the ratio of deciduous plants to road sections showed that Mengdu Street < Mufu South Road < Jiyin Avenue; 2. Seasonal variation had a significant effect on temperature. In autumn, the concentration of NO2 in Jiyin Avenue and Mufu South Road exceeded the standard limit of 24 h average level 2 concentration, which meant the air pollution was relatively serious. 3. The increase of NDVI could reduce the concentration of atmospheric pollutants. Also, the study found that humidity had the greatest correlation with PM2.5 and PM10, temperature had the greatest correlation with NO2 and air pressure had the greatest correlation with O3. In addition, the four pollutants had positive correlation with each other.
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