Cong Xiao Chun, Qu Jing Hua, Yang Guo Shu
Shandong Provincial Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Shandong University of Science and Technology, Qingdao, 266510, China.
Environ Geochem Health. 2017 Oct;39(5):1179-1190. doi: 10.1007/s10653-016-9885-2. Epub 2016 Oct 18.
To obtain physical properties of pollutant concentrations encountered by vehicle commuters during travelling Yangkou tunnel (7.76 km) of Qingdao City, particle concentration measurements are accompanied by the measurements of gaseous species (CO and CO). The field campaigns are on-road conducted from April 26 to September 23, 2014. Results demonstrate that the mean particle number concentrations observed within the tunnel at the normal traffic volume are 1.15 × 10 and 1.24 × 10 particles cm for the southbound and northbound trip, respectively. Furthermore, the significance level of traffic volume to particle number concentration is analyzed by multivariate regression model. And a high correlation between pollutant concentrations and traffic intensity has been demonstrated. Consequently, the fuel-based emission factors of pollutants inside the tunnel are calculated and the personal exposures are derived. In addition, the profile of particle number concentration exhibits distinct dilution features between the exit of northbound bore and the exit of southbound bore. The explanation is attributed to the different long uphill trip within the tunnel. Results in this study offer meaningful understanding to explore the nature of pollutants within long tunnels.
为获取青岛市仰口隧道(7.76公里)内车辆通勤者在出行过程中所遇到的污染物浓度的物理特性,在测量颗粒物浓度的同时还对气态污染物(一氧化碳和碳氢化合物)进行了测量。实地监测于2014年4月26日至9月23日在道路上进行。结果表明,在正常交通流量下,隧道内南行和北行方向观测到的平均颗粒物数浓度分别为1.15×10⁴和1.24×10⁴个/立方厘米。此外,通过多元回归模型分析了交通流量对颗粒物数浓度的显著水平。并且已证明污染物浓度与交通强度之间存在高度相关性。因此,计算了隧道内基于燃料的污染物排放因子并得出了个人暴露量。此外,颗粒物数浓度分布在北行隧道出口和南行隧道出口之间呈现出明显的稀释特征。其原因归因于隧道内不同的长上坡路段。本研究结果为探索长隧道内污染物的性质提供了有意义的认识。