Size-segregated particle number and mass concentrations from different emission sources in urban Beijing
文献类型:期刊论文
作者 | Cai, Jing; Chu, Biwu; Yao, Lei; Yan, Chao; Heikkinen, Liine M.; Zheng, Feixue; Li, Chang![]() |
刊名 | ATMOSPHERIC CHEMISTRY AND PHYSICS
![]() |
出版日期 | 2020-11-04 |
卷号 | 20期号:21页码:12721-12740 |
ISSN号 | 1680-7316 |
英文摘要 | Although secondary particulate matter is reported to be the main contributor of PM2.5 during haze in Chinese megacities, primary particle emissions also affect particle concentrations. In order to improve estimates of the contribution of primary sources to the particle number and mass concentrations, we performed source apportionment analyses using both chemical fingerprints and particle size distributions measured at the same site in urban Beijing from April to July 2018. Both methods resolved factors related to primary emissions, including vehicular emissions and cooking emissions, which together make up 76% and 24% of total particle number and organic aerosol (OA) mass, respectively. Similar source types, including particles related to vehicular emissions (1.6 +/- 1.1 mu gm(-3); 2.4 +/- 1.8 x 10(3) cm(-3) and 5.5 +/- 2.8 x 10(3) cm(-3) for two traffic-related components), cooking emissions (2.6 +/- 1.9 mu gm(-3) and 5.5 +/- 3.3 x 10(3) cm(-3)) and secondary aerosols (51 +/- 41 mu gm(-3) and 4.2 +/- 3.0 x 10(3) cm(-3)), were resolved by both methods. Converted mass concentrations from particle size distributions components were comparable with those from chemical fingerprints. Size distribution source apportionment separated vehicular emissions into a component with a mode diameter of 20 nm (traffic-ultrafine) and a component with a mode diameter of 100 nm (traffic-fine). Consistent with similar day- and nighttime diesel vehicle PM2.5 emissions estimated for the Beijing area, traffic-fine particles, hydrocarbon-like OA (HOA, traffic-related factor resulting from source apportionment using chemical fingerprints) and black carbon (BC) showed similar diurnal patterns, with higher concentrations during the night and morning than during the afternoon when the boundary layer is higher. Traffic-ultrafine particles showed the highest concentrations during the rush-hour period, suggesting a prominent role of local gasoline vehicle emissions. In the absence of new particle formation, our re-sults show that vehicular-related emissions (14% and 30% for ultrafine and fine particles, respectively) and cooking-activity-related emissions (32 %) dominate the particle number concentration, while secondary particulate matter (over 80 %) governs PM2.5 mass during the non-heating season in Beijing. |
源URL | [http://ir.rcees.ac.cn/handle/311016/45103] ![]() |
专题 | 生态环境研究中心_大气污染控制中心 |
推荐引用方式 GB/T 7714 | Cai, Jing,Chu, Biwu,Yao, Lei,et al. Size-segregated particle number and mass concentrations from different emission sources in urban Beijing[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2020,20(21):12721-12740. |
APA | Cai, Jing.,Chu, Biwu.,Yao, Lei.,Yan, Chao.,Heikkinen, Liine M..,...&Daellenbach, Kaspar R..(2020).Size-segregated particle number and mass concentrations from different emission sources in urban Beijing.ATMOSPHERIC CHEMISTRY AND PHYSICS,20(21),12721-12740. |
MLA | Cai, Jing,et al."Size-segregated particle number and mass concentrations from different emission sources in urban Beijing".ATMOSPHERIC CHEMISTRY AND PHYSICS 20.21(2020):12721-12740. |
入库方式: OAI收割
来源:生态环境研究中心
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。