Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200433, P.R. China.
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai, 200433, P.R. China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, P.R. China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China.
J Environ Sci (China). 2018 Sep;71:136-149. doi: 10.1016/j.jes.2017.11.015. Epub 2017 Nov 23.
Tunnel displays a typical semi-closed environment, and multitudes of the pollutants tend to accumulate. The samples of gaseous pollutants and particulate matter (PM) were collected from the Xiangyin tunnel at Shanghai to investigate the characteristics of the pollutant emissions. The results indicated that both gaseous pollutants and PM exhibited much higher concentrations during the rush hours in the morning and at night due to vehicle emission. Two peaks of the PM concentration were observed in the scope of 0.7-1.1 and 3.3-4.7 μm, accounting for 14.6% and 20.3% of the total concentrations, respectively. Organic matter (OM), EC, and many water-soluble ions were markedly higher at the rush hours in the morning than those at night, implicating comprehensive effects of vehicle types and traffic volume. The particle number concentrations exhibited two peaks at Aitken mode (25 nm and 100 nm) and accumulation mode (600 nm), while the particle volume concentration displayed high values at the accumulation mode (100-500 nm) and coarse mode (2.5-4.0 μm). The peak around 100 nm was detected in the morning rush hours, but it diminished with the decrease of the traffic volume. Individual-particle analysis revealed that main particles in the tunnel were Fe-rich particles, K-rich particles, mineral particles, Ca-S rich particles and Al-Si particles. The particles collected at the rush hours displayed marked different morphologies, element concentrations and particle sizes compared to the ones collected at the non-rush period. The data presented herein could shed a light on the feature of vehicle emissions.
隧道呈现出典型的半封闭环境，大量污染物容易积聚。本研究采集了上海翔殷路隧道的气态污染物和颗粒物（PM）样品，以调查污染物排放特征。结果表明，由于车辆排放，早晚高峰时段气态污染物和 PM 的浓度明显较高。PM 浓度出现两个峰值，粒径范围分别为 0.7-1.1μm 和 3.3-4.7μm，分别占总浓度的 14.6%和 20.3%。上午高峰时段的有机碳（OM）、元素碳（EC）和许多水溶性离子明显高于夜间，这表明了车辆类型和交通量的综合影响。颗粒物数浓度在艾肯模式（25nm 和 100nm）和积聚模式（600nm）出现两个峰值，而颗粒物体积浓度在积聚模式（100-500nm）和粗模态（2.5-4.0μm）中显示出高值。早上高峰时段检测到约 100nm 的峰值，但随着交通量的减少而降低。单颗粒分析表明，隧道内的主要颗粒为富铁颗粒、富钾颗粒、矿物颗粒、富钙-硫颗粒和富铝-硅颗粒。与非高峰时段相比，高峰时段采集的颗粒物呈现出明显不同的形态、元素浓度和粒径。本文提供的数据可以为车辆排放特征提供一些启示。
