Based on hourly meteorological and environmental monitoring data in Cangzhou of Hebei Province from 2014 to 2020, this paper analyzed the aggravation of ozone (O₃) pollution and its relationship with meteorological factors. The results are as follows: (1) The pollution of O₃ in Cangzhou had been increasing and O₃ had become the primary pollutant. The pollution of O₃ concentrated from May to September, and the diurnal variation of O₃ mass concentration showed single peak and single valley type, and the maximum concentration occurred around 16:00 BST. (2) During the period of O₃-8 h maximum value from May to September, the average temperature, maximum temperature, relative humidity and total radiation irradiance were strongly correlated with the O₃ mass concentration, while the correlation between station atmospheric pressure, water vapor pressure, mean wind speed and the O₃ mass concentration didn’t pass the significance test. (3) During the period of O₃-8 h maximum value from May to September, when the average temperature of 8 h was above 30.9 ℃, the maximum temperature of 8 h was above 32.7 ℃, the average relative humidity of 8 h was below 42.1% and the average total radiation irradiance of 8 h was above 505.8 W·m^-2, the probability pollution of O₃ was up to 84%. (4) Meteorological factors were not sufficient conditions for rapid increase of O₃ hourly mass concentration.

Based on hourly meteorological and environmental observation data from Cangzhou of Hebei Province from 2014 to 2019, the influences of precipitation on atmospheric pollutant concentration were further discussed by using wind and background concentration correction method. The results show that the correction method about wind and background concentration could better remove the own diurnal variation characteristics of pollutant concentration and eliminate the influence of wind speed, and the influence of precipitation on atmospheric pollutant concentration could be acquired more accurately. Under the condition of wind force and background concentration correction, the removal effect of rainfall on PM_2.5, PM₁₀, O₃ and NO₂ was better, but for SO₂ and CO it wasn’t obvious. The removal effects of rainfall with different intensities on PM_2.5, PM₁₀ and NO₂ were better, and the removal rate increased with enhance of rainfall intensity. The removal effect of rainfall intensity less than 8.0 mm·h^-1  on O₃ was significant, while the rainfall intensity above 6.0 mm·h^-1 had removing effect on SO₂. With the duration of rainfall, the mass concentration of PM_2.5, PM₁₀, NO₂ and O₃ continuously decreased, and the removal efficiency dropped, the removal effect wasn’t obvious when the mass concentration of pollutant dropped to a certain threshold.