摘要
对2014年上海城区监测站点颗粒物及气象参数进行连续观测,得到PM_(10),PM_(2.5)及O_(3)质量浓度的年均值分别为(66.34±36.77),(49.10±29.22)和(74.75±28.44)μg/m^(3),且随人为源排放强度和气象参数的季节变化而变化。PM_(2.5)和PM_(10)季节变化趋势一致性强,与O_(3)基本相反。PM_(2.5)质量浓度的日际变化特征呈冬季和春季较其他季节滞后,且节假日较工作日明显滞后。PM_(2.5)和PM_(10)质量浓度在低温低风速的不利气象条件下,不利于扩散稀释,易形成积聚污染。因此,对颗粒物及气态污染物进行长期观测和统计分析,有利于了解其污染演变趋势和与影响因素。
The annual average concentrations of PM_(10),PM_(2.5)and O_(3)were(66.34±36.77),(49.10±29.22)and(74.75±28.44)μg/m^(3),respectively.It also varied with the seasonal variation of anthropogenic emission intensity and meteorological parameters.The seasonal trends of PM_(2.5)and PM_(10)were consistent,but opposite to O_(3).The diurnal variation of PM_(2.5)concentration in winter and spring lags behind that in other seasons,and the diurnal variation of PM_(2.5)concentration in holidays lags behind that in working days.The mass concentration of PM_(2.5)and PM_(10)were not conducive to diffusion and dilution under the unfavorable meteorological conditions of low temperature and low wind speed,and it was easy to form accumulated pollution.Therefore,the long-term observation and statistical analysis of particulate matter and gaseous pollutants were helpful to understand their pollution evolution trend and influencing factors.
作者
张玉
兰剑
乔利平
郝继宗
刘婷婷
ZHANG Yu;LAN Jian;QIAO Li-ping;HAO Ji-zong;LIU Ting-ting(Shanghai Marine Diesel Engine Research Institute,Shanghai 201108;State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Complex,Shanghai Academy of Environmental Sciences,Shanghai 200233,China)
出处
《广州化工》
CAS
2021年第18期85-87,108,共4页
GuangZhou Chemical Industry
关键词
颗粒物
时间变化
气象参数
节假日
particulate matter
temporal variation
meteorological parameters
vacations
