摘要
选取澳洲城市某公交车专用隧道连续4dSMPS监测颗粒物数据,并根据隧道内交通、风速实测数据,计算出隧道内机动车排放各粒径范围细微/超细颗粒物数浓度单车排放因子,并根据每10min间隔的柴油/CNG公交车混合比,采用最小二乘法得出两种车型的综合排放因子2.61×1014个.辆-1.km-1.通过多元回归分析计算颗粒物粒径谱排放因子发现,柴油公交车主要排放积聚态颗粒物;CNG公交车主要排放核模态颗粒物,柴油公交车和CNG公交车总颗粒物排放因子分别为3.96×1014个.辆-1.km-1和9.33×1013个.辆-1.km-1.
Fine/Ultrafine particulate matter concentration and size distribution,traffic flow rate,air speed and meteorological parameters were monitored in a bus-only road tunnel in Australia for 4 consecutive days. Emission factors （EF） for all particle number （PN） size ranges for both diesel and compressed natural gas （CNG） buses were developed by the Least Mean Square method using the mix ratio of buses recorded at 10 minute intervals. The PN EF for mixed traffic flow was 2.61×10^14 p·veh^-1·km^-1. After multiple regression analyses of particle size distribution EFs,this study also found that diesel buses mainly emitted accumulation mode particles,while CNG buses mostly emitted nuclei-mode particles. The total PN EFs for diesel and CNG buses were 3.96×10^14 p.veh^-1·km^-1 and 9.33×1013 p.veh^-1·km^-1,respectively.
出处
《环境科学学报》
CAS
CSCD
北大核心
2010年第7期1352-1357,共6页
Acta Scientiae Circumstantiae
基金
2008年国家留学基金委资助项目(No.2008103042)~~
关键词
排放因子
颗粒物
数浓度
隧道法
emission factor
particle matter
number concentration
tunnel method
