The variations and influencing factors of atmospheric particulate matter and O3 at multiple scales in Tangshan
The methods of Kolmogorov-Zurbenko filtering,stepwise multiple linear regression and wavelet coherence analysis were used to explore the evolution characteristics of PM2.5,PM10 and O3 at different time scales from 2015 to 2022 in Tangshan City,and to effectively distinguish and quantitatively estimate the contributions of pollution source emissions and meteorological factors to pollutant concentrations.Meanwhile,the impacts of meteorological factors on pollutants at different time scales and the synergistic mechanism between PM2.5,PM10 and O3 were revealed.The long-term component of PM2.5 and PM10 concentrations in Tangshan showed a significant downward trend during the study period,and the seasonal component and short-term component showed different periodic-fluctuations.The long-term component of O3 concentration slightly changed,and its seasonal component and short-term component changed dramatically between May and July every year.The variations of long-term components of PM2.5 and PM10 were mainly controlled by source emission factors,which accounted for more than 90%,while the long-term component of O3 was controlled by source emission and meteorological factors simultaneously,with the contribution ratio being about 2∶3.Meteorological factors such as temperature,relative humidity,surface vertical wind speed and precipitation presented positive effects on PM2.5 at small time scales and negative effects at large time scales.Temperature and shortwave radiation intensity had positive effects on O3,however,coherence between PM2.5,PM10 and O3 displayed positive effects at small time scales and negative effects at large time scales.
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