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

Related authors

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
Short summary

Related subject area

Subject: Aerosols | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Simulated contrail-processed aviation soot aerosols are poor ice-nucleating particles at cirrus temperatures
Baptiste Testa, Lukas Durdina, Jacinta Edebeli, Curdin Spirig, and Zamin A. Kanji
Atmos. Chem. Phys., 24, 10409–10424, https://doi.org/10.5194/acp-24-10409-2024,https://doi.org/10.5194/acp-24-10409-2024, 2024
Short summary
Biological and dust aerosols as sources of ice-nucleating particles in the eastern Mediterranean: source apportionment, atmospheric processing and parameterization
Kunfeng Gao, Franziska Vogel, Romanos Foskinis, Stergios Vratolis, Maria I. Gini, Konstantinos Granakis, Anne-Claire Billault-Roux, Paraskevi Georgakaki, Olga Zografou, Prodromos Fetfatzis, Alexis Berne, Alexandros Papayannis, Konstantinos Eleftheridadis, Ottmar Möhler, and Athanasios Nenes
Atmos. Chem. Phys., 24, 9939–9974, https://doi.org/10.5194/acp-24-9939-2024,https://doi.org/10.5194/acp-24-9939-2024, 2024
Short summary
Quantifying the dust direct radiative effect in the southwestern United States: findings from multiyear measurements
Alexandra Kuwano, Amato T. Evan, Blake Walkowiak, and Robert Frouin
Atmos. Chem. Phys., 24, 9843–9868, https://doi.org/10.5194/acp-24-9843-2024,https://doi.org/10.5194/acp-24-9843-2024, 2024
Short summary
How horizontal transport and turbulent mixing impact aerosol particle and precursor concentrations at a background site in the UAE
Jutta Kesti, Ewan J. O'Connor, Anne Hirsikko, John Backman, Maria Filioglou, Anu-Maija Sundström, Juha Tonttila, Heikki Lihavainen, Hannele Korhonen, and Eija Asmi
Atmos. Chem. Phys., 24, 9369–9386, https://doi.org/10.5194/acp-24-9369-2024,https://doi.org/10.5194/acp-24-9369-2024, 2024
Short summary
Markedly different impacts of primary emissions and secondary aerosol formation on aerosol mixing states revealed by simultaneous measurements of CCNC, H(/V)TDMA, and SP2
Jiangchuan Tao, Biao Luo, Weiqi Xu, Gang Zhao, Hanbin Xu, Biao Xue, Miaomiao Zhai, Wanyun Xu, Huarong Zhao, Sanxue Ren, Guangsheng Zhou, Li Liu, Ye Kuang, and Yele Sun
Atmos. Chem. Phys., 24, 9131–9154, https://doi.org/10.5194/acp-24-9131-2024,https://doi.org/10.5194/acp-24-9131-2024, 2024
Short summary

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.
Altmetrics
Final-revised paper
Preprint