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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39 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
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- 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
- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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- 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
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Latest update: 21 Nov 2024
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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