摘要
PM2.5中的主要无机离子组分SO2-4、NO-3及NH+4的质量浓度与大气中气态污染物的浓度具有一定的相关性。本文基于北方某城市连续三个月不同监测点的CO、NO2、SO2、O3和PM2.5的浓度监测值,对城市环境中的PM2.5和主要气体污染物日均浓度随时间的变化关系进行相关性分析,并建立PM2.5与CO、NO2、SO2、O3的浓度关系的数学模型。对分析城市中PM2.5的来源、预测和降低城市大气中的PM2.5浓度提供方法和途径。
The mass concentrations of inorganic ion components in PM2. 5 such as SO4^2-,NO3^-and NH4^+have some relevance with the atmospheric concentration of gaseous pollutants. In this paper,based on the concentration monitoring value of CO,NO2,SO2,O3 and PM2. 5 in different monitoring points for three consecutive months in a northern city,the correlation analysis was conducted for the average daily concentrations of PM2. 5 and primary gas pollutants in urban environment along with time variation,and the mathematical model of concentration relationship between PM2. 5 and CO,NO2,SO2,O3 was established. The study has provided a method and means of analyzing the major source of PM2. 5 in cities,as well as forecasting and reducing urban PM2. 5 concentrations in the atmosphere.
出处
《森林工程》
2016年第2期65-68,共4页
Forest Engineering
基金
黑龙江省自然科学基金项目(E201350)