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.
Related authors
Mario E. Gavidia-Calderón, Sergio Ibarra-Espinosa, Youngseob Kim, Yang Zhang, and Maria de Fatima Andrade
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-282, https://doi.org/10.5194/gmd-2020-282, 2020
Preprint under review for GMD
Short summary
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MUNICH model was used to calculate pollutant concentrations inside São Paulo streets. VEIN emission model provided the vehicular emissions and the coordinates of the streets. We used information from an air quality station to account for pollutant concentrations over the rooftop. Results showed that when emissions are calibrated, MUNICH satisfied the performance criteria. MUNICH can be used to evaluate the impact of traffic-related air pollution on public health.
Siqi Ma, Xuelei Zhang, Chao Gao, Daniel Q. Tong, Aijun Xiu, Guangjian Wu, Xinyuan Cao, Ling Huang, Hongmei Zhao, Shichun Zhang, Sergio Ibarra-Espinosa, Xin Wang, Xiaolan Li, and Mo Dan
Geosci. Model Dev., 12, 4603–4625, https://doi.org/10.5194/gmd-12-4603-2019, https://doi.org/10.5194/gmd-12-4603-2019, 2019
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Dust storms are thought to be a worldwide societal issue, and numerical modeling is an effective way to help us to predict dust events. Here we present the first comprehensive evaluation of dust emission modules in four commonly used air quality models for northeastern China. The results showed that most of these models were able to capture this dust event and indicated the dust source maps should be carefully selected or replaced with a new one that is constructed with local data.
Mario E. Gavidia-Calderón, Sergio Ibarra-Espinosa, Youngseob Kim, Yang Zhang, and Maria de Fatima Andrade
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2020-282, https://doi.org/10.5194/gmd-2020-282, 2020
Preprint under review for GMD
Short summary
Short summary
MUNICH model was used to calculate pollutant concentrations inside São Paulo streets. VEIN emission model provided the vehicular emissions and the coordinates of the streets. We used information from an air quality station to account for pollutant concentrations over the rooftop. Results showed that when emissions are calibrated, MUNICH satisfied the performance criteria. MUNICH can be used to evaluate the impact of traffic-related air pollution on public health.
A. Joshi, E. Pebesma, R. Henriques, and M. Appel
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5-W3, 43–47, https://doi.org/10.5194/isprs-archives-XLII-5-W3-43-2019, https://doi.org/10.5194/isprs-archives-XLII-5-W3-43-2019, 2019
Siqi Ma, Xuelei Zhang, Chao Gao, Daniel Q. Tong, Aijun Xiu, Guangjian Wu, Xinyuan Cao, Ling Huang, Hongmei Zhao, Shichun Zhang, Sergio Ibarra-Espinosa, Xin Wang, Xiaolan Li, and Mo Dan
Geosci. Model Dev., 12, 4603–4625, https://doi.org/10.5194/gmd-12-4603-2019, https://doi.org/10.5194/gmd-12-4603-2019, 2019
Short summary
Short summary
Dust storms are thought to be a worldwide societal issue, and numerical modeling is an effective way to help us to predict dust events. Here we present the first comprehensive evaluation of dust emission modules in four commonly used air quality models for northeastern China. The results showed that most of these models were able to capture this dust event and indicated the dust source maps should be carefully selected or replaced with a new one that is constructed with local data.
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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....
