Articles | Volume 11, issue 6
Geosci. Model Dev., 11, 2209–2229, 2018
https://doi.org/10.5194/gmd-11-2209-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2209–2229, 2018
https://doi.org/10.5194/gmd-11-2209-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper 14 Jun 2018
Model description paper | 14 Jun 2018
VEIN v0.2.2: an R package for bottom–up vehicular emissions inventories
Sergio Ibarra-Espinosa et al.
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Cited
18 citations as recorded by crossref.
- Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl 10.3390/ijerph17062099
- A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2020.117952
- Coupled models using radar network database to assess vehicular emissions in current and future scenarios J. Pinto et al. 10.1016/j.scitotenv.2020.143207
- A User-Based Look at Visualization Tools for Environmental Data and Suggestions for Improvement—An Inventory among City Planners in Gothenburg B. Stahre Wästberg et al. 10.3390/su12072882
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- A methodology for high resolution vehicular emissions inventories in metropolitan areas: Evaluating the effect of automotive technologies improvement A. Maes et al. 10.1016/j.trd.2019.10.007
- Kriging method application and traffic behavior profiles from local radar network database: A proposal to support traffic solutions and air pollution control strategies J. Pinto et al. 10.1016/j.scs.2020.102062
- Air Quality Standards and Extreme Ozone Events in the São Paulo Megacity J. Chiquetto et al. 10.3390/su11133725
- A two decades study on ozone variability and trend over the main urban areas of the São Paulo state, Brazil D. Schuch et al. 10.1007/s11356-019-06200-z
- Estimating On-Road Vehicle Fuel Economy in Africa: A Case Study Based on an Urban Transport Survey in Nairobi, Kenya A. Mbandi et al. 10.3390/en12061177
- Development of a spatialized atmospheric emission inventory for the main industrial sources in Brazil A. Kawashima et al. 10.1007/s11356-020-08281-7
- 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 spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2019.117136
- Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China X. Song & Y. Hao 10.3390/ijerph16234790
- Generating traffic flow and speed regional model data using internet GPS vehicle records S. Ibarra-Espinosa et al. 10.1016/j.mex.2019.08.018
- eixport: An R package to export emissions to atmospheric models S. Ibarra-Espinosa et al. 10.21105/joss.00607
- EmissV: an R package to create vehicular and other emissions for air quality models D. Schuch et al. 10.21105/joss.00662
16 citations as recorded by crossref.
- Integrating Modes of Transport in a Dynamic Modelling Approach to Evaluate Population Exposure to Ambient NO2 and PM2.5 Pollution in Urban Areas M. Ramacher & M. Karl 10.3390/ijerph17062099
- A comprehensive spatial and temporal vehicular emissions for northeast China S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2020.117952
- Coupled models using radar network database to assess vehicular emissions in current and future scenarios J. Pinto et al. 10.1016/j.scitotenv.2020.143207
- A User-Based Look at Visualization Tools for Environmental Data and Suggestions for Improvement—An Inventory among City Planners in Gothenburg B. Stahre Wästberg et al. 10.3390/su12072882
- Towards the coupling of a chemical transport model with a micro-scale Lagrangian modelling system for evaluation of urban NOx levels in a European hotspot G. Veratti et al. 10.1016/j.atmosenv.2020.117285
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- A methodology for high resolution vehicular emissions inventories in metropolitan areas: Evaluating the effect of automotive technologies improvement A. Maes et al. 10.1016/j.trd.2019.10.007
- Kriging method application and traffic behavior profiles from local radar network database: A proposal to support traffic solutions and air pollution control strategies J. Pinto et al. 10.1016/j.scs.2020.102062
- Air Quality Standards and Extreme Ozone Events in the São Paulo Megacity J. Chiquetto et al. 10.3390/su11133725
- A two decades study on ozone variability and trend over the main urban areas of the São Paulo state, Brazil D. Schuch et al. 10.1007/s11356-019-06200-z
- Estimating On-Road Vehicle Fuel Economy in Africa: A Case Study Based on an Urban Transport Survey in Nairobi, Kenya A. Mbandi et al. 10.3390/en12061177
- Development of a spatialized atmospheric emission inventory for the main industrial sources in Brazil A. Kawashima et al. 10.1007/s11356-020-08281-7
- 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 spatial and temporal resolution vehicular emissions in south-east Brazil with traffic data from real-time GPS and travel demand models S. Ibarra-Espinosa et al. 10.1016/j.atmosenv.2019.117136
- Vehicular Emission Inventory and Reduction Scenario Analysis in the Yangtze River Delta, China X. Song & Y. Hao 10.3390/ijerph16234790
- Generating traffic flow and speed regional model data using internet GPS vehicle records S. Ibarra-Espinosa et al. 10.1016/j.mex.2019.08.018
Discussed (preprint)
Latest update: 22 Jan 2021
Short summary
An emissions inventory is a compilation of the mass of pollutants released by different sources. The quantification of vehicular emissions is difficult because these sources are in movement across streets. Also, emissions processes are multiple and complex. In this paper, we present an open-source software for calculating spatial vehicular emissions, including exhaust, evaporation and wear, named VEIN. The software is an R package available at
https://github.com/atmoschem/vein.
An emissions inventory is a compilation of the mass of pollutants released by different sources....
