中山大学学报自然科学版 ›› 2017, Vol. 56 ›› Issue (2): 66-75.

• 研究论文 • 上一篇    下一篇

基于动态交通流的佛山市机动车网格化排放清单

李丽1,刘永红 1,邓思欣2,司徒淑聘2,黄建彰1   

  1. 1.中山大学工学院∥广东省交通环境智能监测与治理工程技术研究中心,广东 广州 510275;
    2. 佛山市环境监测中心站,广东 佛山 528000
  • 收稿日期:2016-01-01 出版日期:2017-03-25 发布日期:2017-03-25
  • 通讯作者: 刘永红(1977年生),女;研究方向:大气环境及机动车污染控制;E-mail:liu_its@163.com

Gridding emission inventory of vehicle exhaust in Foshan based on dynamic traffic flow information

LI Li1, LIU Yonghong1, DENG Sixin2, SI TU Shupin2, HUANG Jianzhang1   

  1. 1. School of Engineering∥Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Sun Yat-sen University, Guangzhou 510275, China; 
    2. Foshan Environmental Monitoring Central Station, Foshan 52800, China
  • Received:2016-01-01 Online:2017-03-25 Published:2017-03-25

摘要:

基于动态交通流信息和排放因子,以Arcgis为构建平台,运用自下而上的方法编制佛山市机动车网格化排放清单,分析污染物排放的时空分布特征。研究结果显示:2013年佛山市机动车尾气排放污染物CO、VOCs、NOx、PM总量分别为1.29×105、2.19 ×104 、3.61×104、1.15×103 t。机动车污染物高排放区域主要集中在城区中心以及城区中心向外辐射的路网上。机动车污染物日排放高峰期与车流量高峰期相对应,为每天的7:00-9:00和17:00-19:00。中心城区在进行排放控制时,应针对高峰时段进行改善,且主干路是排放控制的重点道路。要控制CO和VOCs排放,应该着重对国0标准轻型客车和国0、国Ⅰ标准摩托车进行交通管制,而控制NOx和PM的排放关键是国0标准货车、国Ⅲ标准大型客车和公交车。

关键词: 机动车尾气, 网格化清单, 时空特征, 实时交通流

Abstract:

On the ArcGIS platform, gridding emission inventory of vehicle exhaust in Foshan in 2013 was built using a new method of bottomup approach based on dynamic traffic flow and emission factors data. The actual road emission characteristics of temporal and spatial distribution of the pollutant emissions were also analyzed. The results showed that the emissions of CO, NOx, VOCs and PM were 1.29×105, 2.19 ×104 , 3.61×104, 1.15×103 t respectively. Motor vehicle emissions mainly concentrated in the center of the city and outward road network. And the pollution emission peak was corresponded to the traffic peak, namely 7:00-9:00 and 17:00-19:00. The emissions during the morning and evening peak should be concerned in central city, and primary roads were the emphases on exhaust emission control. Light passenger cars with State 0 standard and motorcycles with State 0, State Ⅰ standard should be regulate to controlled CO and VOCs emissions, while trucks with State 0, heavy passenger cars and buses with State Ⅲ were the key to reduce NOx and PM emissions.

Key words: vehicle exhaust, emission inventory, spatialtemporal characteristics, realtime traffic flow

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