Abstract:The increase of ozone content in the air has a great impact on human health and ecological environment,and the deterioration of ozone pollution in the lowaltitude atmosphere has already aroused great concern of the people of the world. Therefore,for the ozone content in the air,a partial linear model is proposed to study the relationship between it and related meteorological factors,including daily maximum temperature,solar radiation and wind speed,and the model is combined with nuclear method and bootstrap method to estimate the mean ozone content and important quintile,which provide some theoretical basis for air quality monitoring and prediction. The results show that the ozone content in the air is linearly correlated with the daily maximum temperature and wind speed,and is non-linearly correlated with solar radiation. The regression estimation function increases with solar radiation as a whole in the form of "S". The average ozone content is 70.58 PPb,its 10%,25%,50%,75% and 90% quantiles are 42.98 PPb,58.64 PPb,71.84 PPb,85.49 PPb and 96.30 PPb respectively.