【摘要】 运用相关性分析方法,研究哈尔滨市PM_2.5质量浓度与主要空气污染物及气象因素之间的相关关系.建立PM_2.5与影响其质量浓度变化的因素的单因变量的偏最小二乘回归分析（PLS1）模型,模型拟合良好,由模型知CO是导致PM_2.5质量浓度升高的主要因素.运用通径分析方法,研究解释变量对因变量的直接影响、通过其他解释变量对因变量的间接影响以及各解释变量的对因变量的协同作用.结果表明,各解释变量对PM_2.5质量浓度变化的总作用从大到小依次为:CO、PM₁₀、NO₂、风速、湿度、SO₂.更多还原

【Abstract】 Using correlation analysis method,the correlation between the quality concentration of PM_2.5 in Harbin,major air pollutants and meteorological factors were researched.A partial least squares regression analysis（PLS1） model of PM_2.5 and its effect on the change of its mass concentration was established.The model fitted well,and CO is the main factor leading to the increase of PM_2.5 mass concentration by the model.Using path analysis,the direct impact of the explanatory variables on the dependent variable,the indirect impact of the other explanatory variables on the dependent variable,the synergy of the explanatory variables on the dependent variable were studied.The results show that the change of PM_2.5mass concentration of the explanatory variables from big to small are:PM₁₀,NO₂,CO,wind speed,humidity,SO₂.更多还原