深圳市交通排放污染物浓度特征与影响因素

1)深圳市城市交通规划设计研究中心有限公司,广东深圳518021; 2)东南大学交通学院,江苏南京211189; 3)中山大学智能工程学院,广东广州510006

环境工程; 尾气污染; 污染物质量浓度; 路边监测实验; 关联分析; 道路移动源; 交通排放扩散; 交通流量; 光照强度; 氮氧化物; 一氧化碳

Characteristics and influencing factors of traffic pollutant emission concentration in Shenzhen City
ZHANG Xiaochun1, QIU Jiandong1, QU Xinming1, XU Weiling2, and DING Hui3

1)Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518021, Guangdong Province, P.R.China2)School of Transport, Southeast University, Nanjing 211189, Jiangsu Province, P.R.China3)School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou 510006, Guangdong Province, P.R.China

environmental engineering; exhaust pollution; pollutant mass concentration; roadside monitoring experiment; correlation analysis; road moving source; traffic emission diffusion; traffic flow; light intensity; nitrogen oxide(NOx); carbon

DOI: 10.3724/SP.J.1249.2020.02178

备注

随着机动车保有量不断增加,尾气污染问题日趋严重.为掌握中国深圳市交通排放所带来的路边空气污染状况,探索交通与空气污染之间的关系,设计了典型道路交通排放的路边监测实验,以研究空气污染中的交通排放规律和关键影响因素.实验监测了典型道路的交通流、气象数据和空气污染物质量浓度,通过对比监测点与空气质量监测国家控制点的数据,分析道路移动源对空气质量的影响:当交通流量较小时,路边监测点与空气质量监测国家控制点数据一致; 当交通流量(特别是货运量)大时,路边监测点的数据显著高于空气质量监测国家控制点的; 通过对NOx和CO的质量浓度与主要影响因素的关联分析,揭示了交通流量和气象对交通排放污染物质量浓度的影响,排放污染物质量浓度整体趋势与总交通量较为一致.结果表明,深圳市各区NOx和CO质量浓度主要受到机动车(尤其是货车)排放的影响,光照强度、风向和风速对污染物的排放扩散有明显作用.

With the increasing number of motor vehicles, exhaust pollution has become increasingly serious. In order to grasp the roadside air pollution caused by traffic emissions in Shenzhen City and explore the relationship between traffic and air pollution, we design a series of roadside monitoring experiments to study the law and key influencing factors of traffic emissions in air pollution. The experiments monitor the traffic flow, meteorological data, and air pollutant mass concentration of typical roads. By comparing the monitoring results with those of the national air quality control points, which reflects the impact of road moving sources on air quality, we find that when there is less traffic, the roadside monitoring results are consistent with those of the state control point; when the traffic flow(especially freight)is large, the roadside monitoring results are significantly higher than those of the state control station. Based on the correlation analysis of nitrogen oxide(NOx)mass concentration and carbon monoxide(CO)mass concentration with the main influencing factors, the effects of traffic flow and weather on the mass concentration and trend of pollutants emitted by traffic are revealed. The overall trend is more consistent with the total traffic volume. The results show that the mass concentration of NOx and CO in various districts of Shenzhen are mainly affected by the emissions of motor vehicles(especially trucks), and the light intensity, wind direction, and wind speed have a significant effect on the emission diffusion of pollutants.

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