期刊文献+

基于PMF模型的长沙城区PM2.5来源解析 被引量:1

Source analysis of PM2.5 in Changsha city based on PMF Model
下载PDF
导出
摘要 本文通过对2016年长沙市城区伍家岭四个季度(1月、4月、8月、11月)PM2.5的监测数据进行统计分析,并运用PMF模型对PM2.5的来源进行解析。结果显示:长沙市2016年PM2.5主要的污染成分为OC、SO42-、NO3-、NH4+、EC、Zn、Fe、Al、Ca、Na、K+、Na+、Ca2+、Mg,并且长沙市2016年PM2.5浓度在春季最高,为69.89μg/m3;在秋季最低,为38.31μg/m3。通过PMF源解析的结果发现,2016年长沙市春季PM2.5污染来源中燃料燃烧源占比最多,贡献量为40.0%;2016年长沙市夏季PM2.5污染来源中机动车源占比最多,其贡献量为54.8%;2016年长沙市秋季PM2.5污染来源中机动车源占比最多,其贡献量为35.5%;2016年长沙市冬季PM2.5污染来源中燃煤源占比最多,其贡献量为29.9%。 This paper analyzes the PM2.5 monitoring data in the four quarters(January,April,August,and November)of Wujialing,Changsha city in 2016,and analyzes the source of PM2.5 using the PMF model.The results show that the main pollution components of PM2.5 in Changsha in 2016 were OC,SO42¯,NO3,NH4+,EC,Zn,Fe,Al,Ca,Na,K+,Na+,Ca2+,Mg,and Changsha in 2016,the concentration of PM2.5 is highest in spring,69.89μg/m3,and lowest in autumn,38.31μg/m3.Through the results of PMF source analysis,it is found that in thespring of 2016,Changsha city’s spring PM2.5 pollution sources were fuel combustion sources,contributing 40.0%;in the summer of 2016,Changsha city’s summer PM2.5 pollution sources accounted for the most motor vehicle sources,its contribution is 54.8%,in 2016,the motor vehicle source accounted for the largest proportion of the autumn PM2.5 pollution sources in Changsha,and its contribution was 35.5%,in 2016,the coal source accounted for the largest proportion of the winter PM2.5 pollution sources in Changsha,its contribution is 29.9%.
作者 马国斌 Ma Guobin(Changsha Yuelu Ecological Environment Monitoring Station,Changsha 410013,China)
出处 《皮革制作与环保科技》 2020年第22期67-72,共6页 Leather Manufacture and Environmental Technology
关键词 PM2.5 源解析 污染成分 受体模型 PM2.5 source analysis pollution components receptor model
  • 相关文献

参考文献3

二级参考文献64

共引文献3

同被引文献13

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部