Based on long-term air quality and meteorological data,the analysis of the relationship between air pollution and meteorological conditions over Ji'nan is relatively rare.Using air quality monitoring data,meteorological reanalysis data,and meteorological observation data in Ji'nan City from 2010 to 2016, this paper analyzes PM2.5 pollution characteristics,the relation between PM2.5 concentration and 2-m temperature (T),2-m relative humidity (RH),10-m U and V component of wind speed (U and V),10-m wind speed (WS),K index (K),A index (A) and boundary layer height (BLH),and circulation types.Based on the stepwise regression model,the influence of meteorological conditions on the day-to-day variation of PM2.5 concentration was quantified by explained variance.The results recover that there are a significant seasonal and interannual variations in PM2.5 concentration in Ji'nan.The annual average PM2.5 concentration decreases significantly during 2010 to 2016.PM2.5 concentration is positive correlated with T,RH,K and A significantly,while negative correlated with WS and BLH (p < 0.05).The correlations between PM2.5 concentration and U and V component do not pass t-test at 95% confidence interval.The mean PM2.5 concentrations for different circulation types have significant difference.Based on regression model analysis,it is found that meteorological conditions can explain the day-to-day variation of PM2.5 concentration from 10% to 40% in Ji'nan.Obvious seasonal difference of impact of meteorological conditions is detected.
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