Exploring the relationship between O3 and meteorological factors in Jiangsu Province in 2022 based on random forest
Selecting the hourly air quality data of counties in Jiangsu Province in 2022 and ERA5 meteorological data,the relationship between O3 and meteorological factors in Jiangsu Province is explored based on the feature importance ranking of the random forest model.The results show that:1)In 2022,the O3 concentration in Jiangsu Province is lower in winter and autumn and higher in spring and summer.Meteorological factors account for a higher proportion in the whole year and the high O3 pollution period(April to September),with meteorological factors accounting for 70.1%during the high O3 pollution period.2)The influence of msdwswrf on O3 concentration is the highest,explaining 32%of the O3 concentration.The interaction between influencing factors is greater than the influence of a single factor on O3 concentration,with rh-msdwswrf having the largest influence,explaining 40.5%.3)There is spatial heterogeneity in the relationship between O3 and meteorological factors,and the influence of the same meteorological factor on the spatial distribution of O3 concentration in different regions varies.
NETL
NSTL
万方数据
