引用本文:
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
过刊浏览    高级检索
本文已被:浏览 72次   下载 38  
分享到: 微信 更多
菏泽市PM2.5源方向解析研究
王露,毕晓辉,刘保双,吴建会,张裕芬,冯银厂,张勤勋,等
作者单位E-mail
王露 南开大学 846153336@qq.com 
毕晓辉 南开大学  
刘保双 南开大学 lbsnankai@foxmail.com 
吴建会 南开大学  
张裕芬 南开大学  
冯银厂 南开大学  
张勤勋 菏泽市环境监测中心站  
摘要:
为了定量解析环境受体中不同方向PM2.5的源贡献水平,利用“源方向解析”(source directional apportionment, SDA)法对京津冀大气污染传输通道上某典型城市-菏泽市环境受体中PM2.5进行来源解析并分析不同方向的源贡献. SDA方法主要是通过PMF(positive matrix factorization,正定矩阵因子)模型进行PM2.5源解析,然后利用后向轨迹模型把不同源类的贡献分配到不同来向. 结果表明,菏泽市环境受体中ρ(PM2.5)变化范围为42.73~191.72 μg/m3,平均值为92.54 μg/m3. SO42-、NO3-和NH4+是菏泽市环境受体中PM2.5的主要化学组分;ρ(SO42-)、ρ(NO3-)和ρ(NH4+)的平均值分别为29.78、22.11和7.91 μg/m3,三者之和占ρ(PM2.5)的63.54%. PMF的计算结果显示,二次无机盐、机动车排放、扬尘、煤烟尘和建筑水泥尘是菏泽市环境受体中PM2.5的贡献源类,分担率分别为32.61%、22.60%、19.54%、16.25%和9.00%. 利用后向轨迹模型识别出PM2.5贡献源类的4个潜在方向,分别为东南、西方、西北和东方. 二次无机盐在4个方向的贡献分别为8.49%、5.01%、6.65%和12.88%;机动车排放分别为1.39%、4.44%、7.47%和8.22%;扬尘分别为4.95%、3.65%、4.12%和6.92%;煤烟尘分别为4.56%、1.93%、2.16%和7.28%;建筑水泥尘分别为2.22%、1.88%、1.27%和3.56%. 研究显示,菏泽市PM2.5污染较为严重,其中二次源、机动车和扬尘源是其主要贡献源类,并且来自菏泽市东部的各源类贡献均较高.
关键词:  PM2.5  PMF  轨迹聚类分析  源方向解析(SDA)
DOI:
分类号:
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
Source Directional Apportionment of PM2.5 in Heze City
WANG LU,BI Xiaohui,LIU Baoshuang,WU Jianhui,Zhang Yufen,FENG Yinchang,ZHANG Qinxun,et al
Abstract:
To quantify contributions of each source-category derived from various directions, the ambient PM2.5 dataset from Heze city, which was a typical city in Jing-Jin-Ji atmospheric pollution transport channel, was analyzed by a method called ‘‘Source Directional Apportionment’’ (SDA). First, positive matrix factorization (PMF) model was used to apportion the sources and contributions of PM2.5. Then, the contribution for each source-category was assigned to different directions by combining the backward trajectories cluster analysis. The results showed that the ρ(PM2.5) varied in the range of 42.73-191.72 μg/m3, with an average concentration of 92.54 μg/m3. The SO42-、NO3- and NH4+ were major compositions of PM2.5 in Heze city. The average value of ρ(SO42-)、ρ(NO3-) and ρ(NH4+) were 29.78、22.11 and 7.91 μg/m3, respectively. The sum of the three compositions accounts for 63.54% of the ρ(PM2.5). The results of PMF model indicated that secondary sources (a contribution of 32.61%), vehicle exhaust (22.60%), fugitive dust (19.54%), coal combustion (16.25%) and construction dust (9.00%) were identified as the contributors to PM2.5 in Heze. And four potential source-directions were identified by using the backward trajectory analysis in Heze during the sampling period. The percentages of source directional contributions from the directions 1 to 4 (southeast, west, northwest and east) were estimated as follows: Secondary sources (8.49%,5.01%, 6.65% and 12.88%, respectively), vehicle exhaust (1.39%, 4.44%, 7.47% and 8.22%, respectively), fugitive dust (4.95%, 3.65%, 4.12% and 6.92%, respectively), coal combustion (4.56%, 1.93%, 2.16% and 7.28%, respectively) and construction dust (2.22%, 1.88%, 1.27% and 3.56%, respectively). The study suggested that the pollution of PM2.5 is serious in Heze city; the secondary sources, vehicle exhaust and fugitive dust were the major contributors to the air pollution. What’s more, all the sources derived from the eastern of Heze city present a relatively high contributions.
Key words:  PM2.5  positive matrix factorization (PMF)  backward trajectories cluster analysis  Source Directional Apportionment (SDA)