Spatiotemporal Distribution of Particulate Matter in Urban Near-road Communities Using UAV

Abstract:

Road traffic pollution has become a major source of pollution in cities， and street-facing communities are the most vulnerable to traffic pollution. This paper aims to use unmanned aerial vehicle（UAV） to monitor the three-dimensional distribution of air pollutants in urban street-facing communities， summarize their three-dimensional distribution rules， and explain the causes of three-dimensional distribution of pollutants in urban street-facing communities by analyzing different traffic conditions， different built environments and different meteorological conditions. This paper finds that large diesel vehicles have a great impact on the emission intensity of road pollution sources， and 12% of large diesel vehicles can contribute 55% of PM₁ emissions. At the same time， according to the different land use conditions on both sides of the road， below 90m altitude， the horizontal impact range of PM₁ is 100m to 350m， and within the height of 90m to 300m， the horizontal influence range of PM₁ can reach more than 500m.