2016年深圳市大气PM_(2.5)污染状况及其影响因素  

Analysis on the pollution characteristics and influence factors of PM_(2.5) in Shenzhen City in 2016

作　　者：牟敬锋[1] 樊静洁[2] 严宙宁[1] 赵星 曾丹 严燕[1] 罗文亮[1] Mou Jingfeng;Fan Jingjie;Yan Zhouning;Zhao Xing;Zeng Dan;Yan Yan;Luo Wenliang(Nanshan District Center for Disease Control and Prevention, Shenzhen 518054,China)

机构地区：[1]深圳市南山区疾病预防控制中心,深圳518054 [2]深圳市妇幼保健院 [3]四川大学华西公共卫生学院

出　　处：《卫生研究》2018年第3期406-412,共7页Journal of Hygiene Research

基　　金：深圳市科技创新委员会科技计划项目(No.JCYJ20170306103652632);深圳市卫生计生系统科研项目(No.201607065)

摘　　要：目的探讨深圳市大气PM_(2.5)污染状况及其可能的影响因素。方法基于2016年深圳市空气质量监测数据和气象资料,分析PM_(2.5)质量浓度变化特征,探讨PM_(2.5)与其他气体污染物以及气象因子之间的相关性及影响规律,利用气象数据和气体污染物构建多重线性回归模型,进行深圳大气PM_(2.5)浓度影响因素分析。结果2016年深圳市大气PM_(2.5)平均质量浓度为(27.02±13.88)μg/m^3,PM_(2.5)/PM_(10)浓度比为0.62±0.08。PM_(2.5)与NO_2、SO_2、CO和O_3均表现出显著的正相关关系(P<0.05)。PM_(2.5)与气温和相对湿度呈负相关关系(P<0.05),与大气压呈正相关关系(P<0.05)。经多重线性回归建模发现,NO_2、SO_2、CO、O_3和大气压能够解释大气PM_(2.5)浓度86.7%的变异,模型中自变量CO的标准回归系数最高(0.439)。结论2016年深圳市大气PM_(2.5)污染较轻,大气PM_(2.5)是可吸入颗粒物的主要组成部分。气压和大气中其他污染物是PM_(2.5)浓度的主要影响因素,其中CO是影响深圳市大气PM_(2.5)浓度的首要显著因子。Objective To explore the pollution characteristics and possible influence factors of PM2.5in Shenzhen in 2016.Methods The dynamic characters of PM2.5mass concentration were analyzed using air quality monitoring and meteorology observation data.The correlations between PM2.5and other affecting factors,e.g.gas pollutions and meteorology factors,were discussed.A multiple linear regression model was built to reveal the impacts of those factors on PM2.5concentrations in Shenzhen City using the air quality monitoring and meteorology observation data.Results The mass concentration of PM2.5was（27.02±13.88）μg/m^3,and the ratios of PM2.5/PM（10）was（0.62±0.08）in Shenzhen City.Significant positive correlations existed between PM2.5concentration and main airpollutants（NO2,SO2,CO and O3）（P〈0.05）.A significant negative correlation existed between PM2.5 concentration and temperature,relative humidity（P〈0.05）,and also a significant positive correlation between atmospheric pressure and PM2.5concentration.The multiple linear regression showed that air pollutants（NO2,SO2,CO,and O3）and atmospheric pressure could explain 86.7% of the variations of PM2.5concentration.The standard regression coefficient of CO in the model was the highest（0.439）.Conclusion PM2.5pollution was relatively light in Shenzhen City,and PM2.5was the main component of inhalable particulate matter.Atmospheric pressure and other pollutants in the atmosphere were the main influencing factors of PM2.5concentration,and CO was the major contributor to PM2.5concentration rising in Shenzhen City.

关 键 词：PM2.5 大气污染 影响因素 多重线性回归 

分 类 号：X502[环境科学与工程—环境工程]