Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3161-2016
https://doi.org/10.5194/acp-16-3161-2016
Research article
 | 
10 Mar 2016
Research article |  | 10 Mar 2016

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, Lin Wu, Hongjun Mao, Sunning Gong, Jianjun He, Chao Zou, Guohua Song, Xiaoyu Li, and Zhong Wu

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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 2: Impact of vehicle emission on urban air quality
Jianjun He, Lin Wu, Hongjun Mao, Hongli Liu, Boyu Jing, Ye Yu, Peipei Ren, Cheng Feng, and Xuehao Liu
Atmos. Chem. Phys., 16, 3171–3184, https://doi.org/10.5194/acp-16-3171-2016,https://doi.org/10.5194/acp-16-3171-2016, 2016
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Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

An, X., Zhu, T., Wang, Z., Li, C., and Wang, Y.: A modeling analysis of a heavy air pollution episode occurred in Beijing, Atmos. Chem. Phys., 7, 3103–3114, https://doi.org/10.5194/acp-7-3103-2007, 2007.
An, X. Q., Hong, Q., Li, N., and Zhai, S. X.: Assessment of human exposure level to PM10 in China, Atmos. Environ., 70, 376–386, https://doi.org/10.1016/j.atmosenv.2013.01.017, 2013.
Cai, H. and Xie, S.: Estimation of vehicular emission inventories in China from 1980 to 2005, Atmos. Environ., 41, 8963–8979, 10.1016/j.atmosenv.2007.08.019, 2007.
Chan, C. K. and Yao, X.: Air pollution in mega cities in China, Atmos. Environ., 42, 1–42, https://doi.org/10.1016/j.atmosenv.2007.09.003, 2008.
Cheng, S., Lang, J., Zhou, Y., Han, L., Wang, G., and Chen, D.: A new monitoring-simulation-source apportionment approach for investigating the vehicular emission contribution to the PM2.5 pollution in Beijing, China, Atmos. Environ., 79, 308–316, https://doi.org/10.1016/j.atmosenv.2013.06.043, 2013.
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.
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