Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3171-2016
© 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-16-3171-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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 2: Impact of vehicle emission on urban air quality
Jianjun He
The College of Environmental Science and Engineering, Nankai
University, Tianjin, China
Lin Wu
The College of Environmental Science and Engineering, Nankai
University, Tianjin, China
Hongjun Mao
CORRESPONDING AUTHOR
The College of Environmental Science and Engineering, Nankai
University, Tianjin, China
Hongli Liu
CORRESPONDING AUTHOR
Chinese Academy of Meteorological Sciences, China Meteorological
Administration, Beijing, China
Boyu Jing
The College of Environmental Science and Engineering, Nankai
University, Tianjin, China
Ye Yu
Cold and Arid Regions Environmental and Engineering Research
Institute, Chinese Academy of Sciences, Lanzhou, China
Peipei Ren
The College of Environmental Science and Engineering, Nankai
University, Tianjin, China
Cheng Feng
Tianjin Vehicle Emission Control Center, Tianjin, China
Xuehao Liu
Tianjin Vehicle Emission Control Center, Tianjin, China
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- Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the Beijing–Tianjin–Hebei area J. He et al. 10.1007/s13351-017-7039-9
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- 光谱遥感揭示北京市在重大事件和节假日期间的NO2垂直廓线变化差异 陈. Chen Jian et al. 10.3788/AOS240638
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41 citations as recorded by crossref.
- Numerical Model-Based Artificial Neural Network Model and Its Application for Quantifying Impact Factors of Urban Air Quality J. He et al. 10.1007/s11270-016-2930-z
- Vertical variation and source evaluation of VOCs and inorganic pollutants in a university building S. Yurdakul et al. 10.1080/15275922.2018.1519734
- Air quality and synergistic health effects of ozone and nitrogen oxides in response to China’s integrated air quality control policies during 2015–2019 X. Zhang et al. 10.1016/j.chemosphere.2020.129385
- Influences of meteorological conditions on interannual variations of particulate matter pollution during winter in the Beijing–Tianjin–Hebei area J. He et al. 10.1007/s13351-017-7039-9
- Dynamics of plant responses to combinations of air pollutants S. Papazian et al. 10.1111/plb.12953
- Characterization of the vehicle emissions in the Greater Taipei Area through vision-based traffic analysis system and its impacts on urban air quality I. Tsai et al. 10.1016/j.scitotenv.2021.146571
- RTVEMVS: Real-time modeling and visualization system for vehicle emissions on an urban road network H. Ding et al. 10.1016/j.jclepro.2021.127166
- High Spatiotemporal Resolution Inventory Finely Depicts the Rebound Characteristics of Greenhouse Gas Emissions from Vehicles in Beijing after the COVID-19 Epidemic Y. Li et al. 10.1021/acs.estlett.5c00065
- Explosive Secondary Aerosol Formation during Severe Haze in the North China Plain J. Peng et al. 10.1021/acs.est.0c07204
- Emissions of nitrogen oxides and volatile organic compounds from liquefied petroleum gas-fueled taxis under idle and cruising modes J. Feng et al. 10.1016/j.envpol.2020.115623
- Characterization of PM-Bound Heavy Metal at Road Environment in Tianjin: Size Distribution and Source Identification Q. Zhang et al. 10.3390/atmos12091130
- Vehicle emissions in a middle-sized city of China: Current status and future trends S. Sun et al. 10.1016/j.envint.2020.105514
- Regulation of Synoptic Circulation in Regional PM2.5 Transport for Heavy Air Pollution: Study of 5‐year Observation Over Central China W. Hu et al. 10.1029/2021JD035937
- Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China X. Song & Y. Hao 10.3390/ijerph16234790
- Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring Z. Li et al. 10.3390/rs11020122
- Road Traffic Emission Inventory in an Urban Zone of West Africa: Case of Yopougon City (Abidjan, Côte d’Ivoire) M. Doumbia et al. 10.3390/en14041111
- Understanding the impact of vehicular emissions on air pollution from the perspective of regional transport: A case study of the Beijing-Tianjin-Hebei region in China J. Lang et al. 10.1016/j.scitotenv.2021.147304
- PM2.5-bound polycyclic aromatic hydrocarbons (PAHs) and their derivatives (nitrated-PAHs and oxygenated-PAHs) in a road tunnel located in Qingdao, China: Characteristics, sources and emission factors T. Zhao et al. 10.1016/j.scitotenv.2020.137521
- Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
- Air pollution characteristics and their relation to meteorological conditions during 2014–2015 in major Chinese cities J. He et al. 10.1016/j.envpol.2017.01.050
- Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area T. Liu et al. 10.5194/acp-17-2971-2017
- 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 B. Jing et al. 10.5194/acp-16-3161-2016
- Heavy-duty diesel vehicles dominate vehicle emissions in a tunnel study in northern China C. Song et al. 10.1016/j.scitotenv.2018.04.387
- Study on the Uncertainty of the Calibration Device of PM2.5 Mass Concentration Monitor J. Zou et al. 10.1088/1755-1315/450/1/012061
- Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030 S. Sun et al. 10.1016/j.atmosenv.2019.04.016
- Assessing PM2.5 emissions in 2020: The impacts of integrated emission control policies in China X. Zhang et al. 10.1016/j.envpol.2020.114575
- Regionally differentiated promotion of electric vehicles in China considering environmental and human health impacts Y. Fang et al. 10.1088/1748-9326/acdbde
- A high temporal-spatial resolution air pollutant emission inventory for agricultural machinery in China J. Lang et al. 10.1016/j.jclepro.2018.02.120
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- Proposal of policies based on temporal-spatial dynamic characteristics and co-benefits of CO2 and air pollutants from vehicles in Shanghai, China Y. Dai et al. 10.1016/j.jenvman.2023.119736
- Analyses of winter circulation types and their impacts on haze pollution in Beijing J. He et al. 10.1016/j.atmosenv.2018.08.060
- Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
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- Highly spatially resolved emission inventory of selected air pollutants in Kuala Lumpur's urban environment A. Azhari et al. 10.1016/j.apr.2020.10.004
- Road vehicle emission inventory of a Brazilian metropolitan area and insights for other emerging economies N. Policarpo et al. 10.1016/j.trd.2017.12.004
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Latest update: 07 Jul 2025
Short summary
Based on a vehicle emission inventory with high temporal–spatial resolution established by bottom-up methodology, this paper evaluates the performance of the CUACE model and investigates the vehicle emission contribution (VEC) to ambient NO2 and PM2.5 with an emission source sensitivity method. With good performance of pollutant concentrations, numerical simulation revealed that the mean VEC is 55.4 and 48.5 % for NO2 and 5.4 and 10.5 % for PM2.5 in July and December 2013 respectively.
Based on a vehicle emission inventory with high temporal–spatial resolution established by...
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