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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- A high-resolution emissions inventory and its spatiotemporal pattern variations for heavy-duty diesel trucks in Beijing, China S. Cheng et al. 10.1016/j.jclepro.2019.119445
- High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets D. Yang et al. 10.5194/acp-19-8831-2019
- Development of the Real-time On-road Emission (ROE v1.0) model for street-scale air quality modeling based on dynamic traffic big data L. Wu et al. 10.5194/gmd-13-23-2020
- High spatiotemporal resolution vehicular emission inventory in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) during 2000–2020, China C. Zhu et al. 10.1016/j.scitotenv.2023.162389
- 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
- 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
- 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
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Dynamic quantification of on-road emissions in Hong Kong: Impact from traffic congestion and fleet composition variation X. Li et al. 10.1016/j.atmosenv.2023.120059
- Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign M. Biggart et al. 10.5194/acp-20-2755-2020
- Speed-guided intelligent transportation system helps achieve low-carbon and green traffic: Evidence from real-world measurements Z. Yang et al. 10.1016/j.jclepro.2020.122230
- Development of a road traffic emission inventory with high spatial–temporal resolution in the world’s most densely populated region—Macau X. Li et al. 10.1007/s10661-019-7364-9
- Spatial–temporal distribution characteristics of pollutants of heavy-duty diesel vehicles in urban road networks: a case study of Kunming City J. Xu et al. 10.1007/s11356-023-31084-5
- Emission Inventory of On-Road Transport in Bangkok Metropolitan Region (BMR) Development during 2007 to 2015 Using the GAINS Model P. Cheewaphongphan et al. 10.3390/atmos8090167
- Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China M. Gong et al. 10.1016/j.scitotenv.2017.03.299
- Updated emission inventories of power plants in simulating air quality during haze periods over East China L. Zhang et al. 10.5194/acp-18-2065-2018
- Impact of Illegal Application of Urea Regulator on Real-World Exhaust Nitrogen Oxygen and Particle Number Emissions J. Li et al. 10.3390/atmos13101739
- Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data A. Biswal et al. 10.5194/essd-15-661-2023
- 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 J. He et al. 10.5194/acp-16-3171-2016
- Vehicle Emission Models and Traffic Simulators: A Review M. Mądziel 10.3390/en16093941
- Recent development of a refined multiple air pollutant emission inventory of vehicles in the Central Plains of China X. Gu et al. 10.1016/j.jes.2019.04.010
- Bottom-Up Emission Inventory and Its Spatio-Temporal Distribution from Paved Road Dust Based on Field Investigation: A Case Study of Harbin, Northeast China L. Li et al. 10.3390/atmos12040449
- Vehicle emissions in a middle-sized city of China: Current status and future trends S. Sun et al. 10.1016/j.envint.2020.105514
- Nonlinear impacts of urban built environment on freight emissions T. Peng et al. 10.1016/j.trd.2024.104358
- Fine-grained vehicle emission management using intelligent transportation system data S. Zhang et al. 10.1016/j.envpol.2018.06.016
- CarAgent: Collecting and disseminating floating car data in vehicular networks H. Huang et al. 10.1016/j.vehcom.2018.08.002
- Data Redundancy Mitigation in V2X Based Collective Perceptions H. Huang et al. 10.1109/ACCESS.2020.2965552
- Quantitative estimation of meteorological impacts and the COVID-19 lockdown reductions on NO2 and PM2.5 over the Beijing area using Generalized Additive Models (GAM) J. Hua et al. 10.1016/j.jenvman.2021.112676
- Diurnal and weekly patterns of primary pollutants in Beijing under COVID-19 restrictions P. Brimblecombe & Y. Lai 10.1039/D0FD00082E
- Temporal variations in ambient air quality indicators in Shanghai municipality, China Y. Chen et al. 10.1038/s41598-020-68201-0
- Evaluation of emission factors for light-duty gasoline vehicles based on chassis dynamometer and tunnel studies in Shanghai, China C. Huang et al. 10.1016/j.atmosenv.2017.09.020
- Surface–atmosphere fluxes of volatile organic compounds in Beijing W. Acton et al. 10.5194/acp-20-15101-2020
- Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data Y. Liu et al. 10.1016/j.jes.2021.07.018
- 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
- 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
- Structural decomposition of heavy-duty diesel truck emission contribution based on trajectory mining S. Cheng et al. 10.1016/j.jclepro.2022.135172
- Source apportionment of PM<sub>2.5</sub> at a regional background site in North China using PMF linked with radiocarbon analysis: insight into the contribution of biomass burning Z. Zong et al. 10.5194/acp-16-11249-2016
- 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
- The spatial and temporal disaggregation models of high-accuracy vehicle emission inventory H. Feng et al. 10.1016/j.envint.2023.108287
- Emission characteristics and control scenario analysis of VOCs from heavy-duty diesel trucks S. Cheng et al. 10.1016/j.jenvman.2021.112915
- A high temporal-spatial vehicle emission inventory based on detailed hourly traffic data in a medium-sized city of China Y. Liu et al. 10.1016/j.envpol.2018.01.068
- The Online Shortest Path Problem: Learning Travel Times Using a Multiarmed Bandit Framework T. Lagos et al. 10.1287/trsc.2023.0196
- Emission characteristics and high-resolution spatial and temporal distribution of pollutants from motor vehicles in Chengdu, China Z. Zhou et al. 10.1016/j.apr.2018.12.002
- A Study of Traffic Emissions Based on Floating Car Data for Urban Scale Air Quality Applications F. Russo et al. 10.3390/atmos12081064
- Investigation of PM2.5-bound Polycyclic aromatic hydrocarbons (PAHs) and their derivatives (nitrated-PAHs and oxygenated-PAHs) in the roadside environment at the eastern coastal region of China: characterization, source identification, and toxicity evaluation T. Zhao et al. 10.1007/s11869-023-01339-8
- 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
- Evaluating traffic emission control policies based on large-scale and real-time data: A case study in central China C. Zou et al. 10.1016/j.scitotenv.2022.160435
- A high-resolution spatial and temporal on-road vehicle emission inventory in an Iranian metropolitan area, Isfahan, based on detailed hourly traffic data O. Ghaffarpasand et al. 10.1016/j.apr.2020.06.006
- Refueling emission of volatile organic compounds from China 6 gasoline vehicles L. Sun et al. 10.1016/j.scitotenv.2021.147883
- A study of high temporal-spatial resolution greenhouse gas emissions inventory for on-road vehicles based on traffic speed-flow model: A case of Beijing Y. Li et al. 10.1016/j.jclepro.2020.122419
- Insight into PM<sub>2.5</sub> sources by applying positive matrix factorization (PMF) at urban and rural sites of Beijing D. Srivastava et al. 10.5194/acp-21-14703-2021
- Emission factors and emission inventory of diesel vehicles in Nepal B. Das et al. 10.1016/j.scitotenv.2021.152539
- Near Real-Time Spatial and Temporal Distribution of Traffic Emissions in Bangkok Using Google Maps Application Program Interface S. Naiudomthum et al. 10.3390/atmos13111803
- Modeling and Impact Analysis for Solar Road Integration in Distribution Networks B. Shi et al. 10.1109/TSTE.2022.3230686
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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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