There is always a hot topic between evaluating the contribution of meteorological conditions and anthropogenic emissions to PM2.5 concentrations, which holds significant importance in guiding the formulation and implementation of emission reduction policies. Baoding was one of the most polluted cities in Beijing-Tianjin-Hebei (BTH) region, experiencing severe particle pollution. Due to the implementation of air pollution control measures from 2016 to 2020, the particulate pollution in this city has significantly reduced. A new method, based on a box model and advection dispersion theory, has been developed to assess the impact of emission control measures and meteorological effects on the reduction of pollutant concentrations. This method involves classifying meteorological elements and utilizing the emission source intensity, which is characterized under various meteorological conditions, to quantify the intensity of atmospheric pollutants and detect their effects on particulate concentrations. Including wind speed (WS), wind direction (WD), atmospheric stability (determined by cloud volume, solar radiation levels, surface wind speed) and mixing height are chosen as the key meteorological elements. The result showed that despite the unfavorable conditions for pollutant dispersion during 2018 and 2021, the aggressive policies were estimated to have contributed to reductions in PM2.5 concentration of 35.7μg/m³, 19.6 μg/m³, 28.6 μg/m³, 107.9μg/m³ in spring, summer, autumn, and winter from 2015-2018, and 8.2 μg/m³, 14.9 μg/m³, 30.0 μg/m³, 50.7 μg/m³ in the corresponding seasons from 2018-2021
