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.
纸质出版日期:2017,
网络出版日期:2017-3-25,
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李丽, 刘永红, 邓思欣, 等. 基于动态交通流的佛山市机动车网格化排放清单[J]. 中山大学学报(自然科学版)(中英文), 2017,56(2):66-75.
LI Li, LIU Yonghong, DENG Sixin, et al. Gridding emission inventory of vehicle exhaust in Foshan based on dynamic traffic flow information[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2017,56(2):66-75.
李丽, 刘永红, 邓思欣, 等. 基于动态交通流的佛山市机动车网格化排放清单[J]. 中山大学学报(自然科学版)(中英文), 2017,56(2):66-75. DOI:
LI Li, LIU Yonghong, DENG Sixin, et al. Gridding emission inventory of vehicle exhaust in Foshan based on dynamic traffic flow information[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2017,56(2):66-75. DOI:
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、NO
x
、PM总量分别为1.29×10
5
、2.19 ×10
4
、3.61×10
4
、1.15×10
3
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NO
x
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。
On the ArcGIS platform
gridding emission inventory of vehicle exhaust in Foshan in 2013 was built using a new method of bottomup 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
NO
x
VOCs and PM were 1.29×10
5
2.19 ×10
4
3.61×10
4
1.15×10
3
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 NO
x
and PM emissions.
机动车尾气网格化清单时空特征实时交通流
vehicle exhaustemission inventoryspatialtemporal characteristicsrealtime traffic flow
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