【摘要】 以河北省重点城市石家庄2014年环境空气质量监测数据为依据,分析了PM_2.5的变化规律及其原因,以及PM_2.5与其他污染物之间的相关性。结果表明,石家庄PM_2.5的最高值出现在1月份,主要原因是冬季雨雪少,且因受太行山阻挡,在高燃煤重污染的条件下,污染物易聚集而不易扩散。由于形成的逆温层不利于污染物扩散,造成夜间浓度高于白天。冬季颗粒物污染是典型的煤烟型污染,燃煤排放在PM_2.5中占49%;春季颗粒物污染是混合型污染,扬尘和煤烟尘的分担率在PM_2.5中达到了76%。PM_2.5浓度与SO₂的变化趋势呈现出显著正相关性、与NO₂具有一定的正相关性、与CO具有一定的正相关性、与O₃呈现负相关性、与VOCs呈现正相关性、和NH₃呈现负相关性。更多还原

【Abstract】 Based on the monitoring data of environmental air quality in Shijiazhuang of Hebei Province in 2014,the change rule of PM_2.5 and its causes are analyzed,and the correlation between PM_2.5 and other pollutants is analyzed.The results show that the maximum value of PM_2.5 of Shijiazhuang is in January.The main reason is the less rain and snow in winter and the burning coal in Taihang Mountain block with heavy pollution conditions,which cause the pollutants easy to gather and not easy to spread.Due to the formation of the thermal inversion layer is not conducive to the spread of pollutants,the concentration resulting at nighttime is higher than that in the daytime.Particulate matter pollution in winter is a typical smoke type pollution with coal-burning accounting for 49% of PM_2.5 emissions.Particulate pollution in spring is a mixed pollution with dust and coal dust accounting for 76% of PM_2.5.The concentration of PM_2.5 showed a positive correlation with the change trend of SO₂,NO₂,CO and VOCs,and showed a negative correlation with O₃ and NH₃.更多还原