Developing a high-resolution vehicular emission inventory by integrating an emission model and a traffic model: Part 2--A case study in Beijing.
A grid-based, bottom-up method has been proposed by combining a vehicle emission model and a travel demand model to develop a high-resolution vehicular emission inventory for Chinese cities. Beijing is used as a case study in which the focus is on fuel consumption and emissions from hot-stabilized activities of light-duty gasoline vehicles (LGVs) in 2005. The total quantity of emissions, emission intensity, and spatial distribution of emissions at 1- by 1-km resolution are presented and compared with results from other inventory methods commonly used in China. The results show that the total daily fuel consumption and vehicular emissions of carbon dioxide, carbon monoxide, hydrocarbons, and oxides of nitrogen from LGVs in the Beijing urban area in 2005 were 1.95 x 10(7) L, 4.28 x 10(4) t, 1.97 x 10(3) t, 0.28 x 10(3) t, and 0.14 x 10(3) t, respectively. Vehicular fuel consumption and emissions show spatial variations that are consistent with the traffic characteristics. The grid-based inventory developed in this study reflects the influence of traffic conditions on vehicle emissions at the microscale and may be applied to evaluate the effectiveness of traffic-related measures on emission control in China.
Department of Environmental Science and Engineering, Tsinghua University, Beijing, People's Republic of China. wanghk@nju.edu.cn
Haikun
H
Wang
Lixin
L
Fu
Jinchuan
J
Chen
D000393:Air Pollutants / Q000032:analysis / Q000191:economics; D000397:Air Pollution / Q000706:statistics & numerical data*; D002681:China; D002947:Cities; D004784:Environmental Monitoring / Q000379:methods*; D005742:Gasoline / Q000032:analysis / Q000191:economics; D015233:Models, Statistical; D001335:Vehicle Emissions / Q000032:analysis* / Q000633:toxicity
D000393:Air Pollutants; D005742:Gasoline; D001335:Vehicle Emissions