Abstract: Guizhou Province of China belongs to a typical karst mountainous area, and due to the influence of terrain and climate, there are obvious spatial and temporal differences in the concentration of polluting gases in different regions of the province. Therefore, based on L3 V003 column amount data from the Ozone Monitoring Instrument (OMI) and the ground environmental monitoring station data, the spatiotemporal differences in the concentration changes and the spatiotemporal evolution characteristics of the three main pollutants in Guizhou Province were analyzed and evaluated at the regional scale, using interactive data language (IDL) plus the remote sensing image processing platform ENVI, geographic information system software ArcGIS, etc. The results show that: (1) The NO2, SO2 and O3 column amount in Guizhou Province in 2019 show a downward trend compared to 2005. The seasonal characteristics of NO2 and SO2 concentration monitored by the two methods both show high in autumn and winter, and low in spring and summer. While due to the influence of solar radiation and weather processes, O3 concentration monitored by the two methods show the same seasonal characteristics of "high in spring and summer, low in autumn and winter". (2) Both the maximum NO2 column amount and the minimum SO2 column amount monitored by remote sensing have a lag in time campared to ground monitoring results， but the lag time is short and there is no cross seasonal difference. Overall, their spatial differences are greater than temporal differences, and the spatial differences of SO2 concentration in summer are greater than in winter. (3) The stratosphere contains a lot of ozone in nature, and there are more thunderstorms in Guizhou Province in summer, so when the weather process occurs, oxygen in the high atmosphere is easily decomposed to generate O3 in large quantities. Due to the active vertical atmospheric transport, the stability of stratospheric O3 is reduced, which has a greater impact on the near-surface O3 concentration.Therefore, the O3 column amount monitored by remote sensing and the ground monitoring results are significantly different in time and space.

Key words: ozone monitoring instrument, ground monitoring, polluted gas, spatio-temporal difference; remote sensing