Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3161-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-3161-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development of a vehicle emission inventory with high temporal–spatial resolution based on NRT traffic data and its impact on air pollution in Beijing – Part 1: Development and evaluation of vehicle emission inventory
Boyu Jing
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Lin Wu
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Hongjun Mao
CORRESPONDING AUTHOR
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Sunning Gong
CORRESPONDING AUTHOR
Chinese Academy of Meteorological Sciences, China Meteorological
Administration, Beijing, China
Jianjun He
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Chao Zou
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Guohua Song
MOE Key Laboratory for Urban Transportation Complex Systems Theory and
Technology, Beijing Jiaotong University, Beijing, China
Xiaoyu Li
The College of Environmental Science & Engineering, Nankai
University, Tianjin, China
Zhong Wu
College of Civil and Transportation Engineering, Hohai University,
Suzhou, China
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Short summary
This paper presents a bottom-up methodology based on the local emission factors, complemented with the widely used emission factors of COPERT model and near-real-time (NRT) traffic data on road segments to develop a high temporal/spatial resolution vehicle emission inventory (HTSVE) for the urban Beijing area. The results show that the vehicle emissions of NOx, CO, HC and PM were 10.54 × 104, 42.51 × 104 and 2.13 × 104 and 0.41 × 104 Mg respectively.
This paper presents a bottom-up methodology based on the local emission factors, complemented...
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