He Ling-Yan, Hu Min, Huang Xiao-Feng, Zhang Yuan-Hang, Yu Ben-De, Liu De-Quan
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences, Peking University, Beijing 100871, PR China.
Chemosphere. 2006 Mar;62(10):1565-73. doi: 10.1016/j.chemosphere.2005.06.051. Epub 2005 Aug 8.
Vehicle populations in China have been increasing sharply since 1990s. Vehicle emissions including various gaseous pollutants and particulate matter cause deterioration of air quality. However, measurements of particulate mater from on-road vehicles in China are scarcely reported, and thus the chemical compositions of particles emitted from vehicles in China are unknown. In this research, tunnel experiments were performed to measure PM2.5 in the Wutong tunnel, Shenzhen, China. Detailed PM2.5 chemical compositions, with organic compounds determined by GC/MS, in the tunnel were presented. Elemental carbon and organic matter composed 63% and 34% of the total PM2.5 mass in the Wutong tunnel, respectively. Alkanes, PAHs, hopanes, fatty acids, and dicarboxylic acids were the major identified organic compounds, and their source profiles in the PM2.5 in the Wutong tunnel were characterized. The comparisons of our measurements with those in the literature were also made to demonstrate the characteristics of the vehicle source profiles in the Wutong tunnel. The experimental results in this paper can improve understanding of particulate matter emitted from vehicles in China.
自20世纪90年代以来,中国的机动车保有量一直在急剧增加。机动车排放的各种气态污染物和颗粒物导致空气质量恶化。然而,中国关于道路机动车颗粒物排放的测量报告很少,因此中国机动车排放颗粒物的化学成分尚不清楚。本研究通过隧道实验对中国深圳梧桐隧道内的PM2.5进行了测量。给出了隧道内详细的PM2.5化学成分,其中有机化合物通过气相色谱/质谱联用仪进行测定。在梧桐隧道中,元素碳和有机物分别占总PM2.5质量的63%和34%。烷烃、多环芳烃、藿烷、脂肪酸和二元羧酸是主要鉴定出的有机化合物,并对它们在梧桐隧道PM2.5中的源谱特征进行了表征。还将我们的测量结果与文献中的结果进行了比较,以说明梧桐隧道中机动车源谱的特征。本文的实验结果有助于增进对中国机动车排放颗粒物的了解。