Research On Atmospheric NO2 Detection Accuracy Based On UAV Platform

Nitrogen dioxide(NO
2
), a common air pollutant, has received increasing attention for its harmful effects. At present, the monitoring of NO
2
by satellite remote sensing has insufficient poor real-time performance and low resolution. In this paper, a small atmospheric trace gas detection imaging spectrometer SWING(SWING, Small Whiskbroom Imager for atmospheric compositioN monitorinG) mounted on the UAV platform was used to carry out NO
2
emission monitoring research in thermal power plants, and the NO
2
differential slant column density was obtained based on the DOAS algorithm. Finally, the NO
2
regional distribution map was obtained after geocoding and statistical interpolation. The experiment successfully detected the main air pollution emission sources in the region, and established a method for airborne NO
2
imaging detector pollution source detection and verified its effectiveness. The comparison with Sentinel-5P shows that this method can fill the gap in the detection of small-scale pollution sources, and provides an effective means for the fine traceability of air pollution.