青岛市大气颗粒物PM2.5动态分析

基于青岛市主城区大气自动监测站实时发布的数据,分析颗粒物PM2.5浓度的时空变化规律,并对PM2.5与其它颗粒物之间的相关性和影响因素进行了分析。结果表明,PM2.5颗粒物浓度年际变化起伏不定;年内变化冬、春季浓度较高,夏、秋季浓度低。根据PM2.5与其它颗粒物之间的相关曲线看,PM2.5与SO2、NO2、O3之间呈现显著正相关,它们浓度的升高会引起PM2.5浓度增大,其来源相同或相关。

Dynamic Analysis of PM2.5 in Qingdao

Based on real-time data released by the atmospheric automatic monitoring station in the main urban area of Qingdao,the temporal and spatial variation of PM2.5 concentration in particulate matter is analyzed,and the correlation and influencing factors between PM2.5 and other particulate matter are analyzed.The results showed that the interannual variation of PM2.5 particle concentration fluctuated;the concentration during the year was higher in winter and spring,and lower in summer and autumn.According to the correlation curves between PM2.5 and other particulate matter,PM2.5 has a significant positive correlation with SO2,NO2,and O3.An increase in their concentration will cause an increase in PM2.5 concentration,which is the same or related source.