ISSN 2096-4498

   CN 44-1745/U

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Emission Characteristics of Vehicle Pollutants Based on a Tunnel Experiment in Nanjing, China

  • YUAN Jiaming ,
  • XIE Jingchao ,
  • XUE Peng ,
  • CHAI Henan ,
  • JIANG Zhenxiong ,
  • WANG Yining ,
  • LIU Jiaping
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  • (1. Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China; 2. Jiangsu Traffic Engineering Construction Bureau, Nanjing 210001, Jiangsu, China; 3. State Key Laboratory of Western Green Building, Xi′an University of Architecture and Technology, Xi′an 710055, Shaanxi, China)

Online published: 2024-11-12

Abstract

In this study, the traffic characteristics, environmental parameters, and concentration of vehicle exhaust pollutants of the Yingtian avenue in the Yangtze river-crossing tunnel in Nanjing, China, are examined to thoroughly investigate the emission and distribution characteristics of vehicle exhaust pollutants. The traffic characteristics are statistically analyzed using video-recording methods, revealing a distinct diurnal variation pattern, with drastically higher traffic flow in the morning peak than the evening peak, and an inverse relationship between vehicle speed and traffic flow. Night-time testing indicates that pollutant concentrations inside the tunnel initially increase and then decrease along the length of the tunnel, with the PM2.5 concentration peaking at the bottom of the Vshaped terrain of the tunnel. The CO concentration peak appears slightly later than the PM2.5 peak because of the influence of the activated fans at the tunnel exit. During daytime testing, when the fans are off, the pollutant concentration peaks at the tunnel exit. In the morning peak, the maximum concentrations of CO and PM2.5 at the tunnel exit are 31.0 mg/m3 and 145 μg/m3, respectively, which are 3.1 and 2 times the concentration limits, respectively. The Pearson correlation analysis conducted to examine the relationships between various parameters reveals a strong positive correlation between the CO concentration and the number of gasoline vehicles and a strong positive correlation between the PM2.5 concentration and the number of diesel vehicles. Both pollutants are strongly negatively correlated with wind speed in the tunnel.

Cite this article

YUAN Jiaming , XIE Jingchao , XUE Peng , CHAI Henan , JIANG Zhenxiong , WANG Yining , LIU Jiaping .

Emission Characteristics of Vehicle Pollutants Based on a Tunnel Experiment in Nanjing, China

[J]. Tunnel Construction, 2024 , 44(10) : 2069 -2076 . DOI: 10.3973/j.issn.2096-4498.2024.10.015

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