Fine particle emissions from on-road vehicles in the Zhujiang Tunnel, China

Fine particle emissions from on-road vehicles in the Zhujiang Tunnel, China
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DOI:
10.1021/es7022658
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发表时间:
2008-06-15
影响因子:
11.4
通讯作者:
Yao, Ting-Ting
Yao, Ting-Ting
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
He, Ling-Yan;Hu, Min;Yao, Ting-Ting

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尽管这些信息对于源解析模型、排放清单和健康影响研究至关重要,但人们对中国车辆颗粒物排放的特征知之甚少。在本文中,我们报告了中国珠江三角洲地区珠江隧道 PM2.5 排放的综合特征。化学形态包括元素碳、有机碳、无机离子、微量元素和有机化合物。获得了重型车辆(19.8%)和轻型车辆(80.2%)混合车队的各个物种的排放因子及其相对分布。此外,还导出了重型车辆和轻型车辆的PM2.(5)质量、元素碳和有机物的单独排放因子。与之前进行的其他隧道研究结果相比,我们发现PM2.5排放中微量元素的丰度和分布更加多样化。相比之下,我们研究中 PM2.5 排放中痕量有机化合物的特征与其他隧道研究和测功机测试中发现的特征一致。我们的结果表明,有机化合物的车辆 PM2.5 排放受地理区域和车队组成的影响较小,因此更适合在广泛区域实施的气溶胶源解析模型中使用。
Little is known about the characteristics of particulate matter emissions from vehicles in China, although such information is critical in source apportionment modeling, emission inventories, and health effect studies. In this paper, we report a comprehensive characterization Of PM2.5 emissions in the Zhujiang Tunnel in the Pearl River Delta region of China. The chemical speciation included elemental carbon, organic carbon, inorganic ions, trace elements, and organic compounds. The emission factors of individual species and their relative distributions were obtained for a mixed fleet of heavy-duty vehicles (19.8%) and light-duty vehicles (80.2%). In addition, separate emission factors of PM2.(5) mass, elemental carbon, and organic matter for heavy-duty vehicles and light-duty vehicles also were derived. As compared to the results of other tunnel studies previously conducted, we found that the abundances and distributions of the trace elements in PM2.5 emissions were more varied. In contrast, the characteristics of the trace organic compounds in the PM2.5 emissions in our study were consistent with characteristics found in other tunnel studies and dynamometer tests. Our results suggested that vehicular PM2.5 emissions of organic compounds are less influenced by the geographic area and fleet composition and thereby are more suitable for use in aerosol source apportionment modeling implemented across extensive regions.