Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2209-2018
https://doi.org/10.5194/gmd-11-2209-2018
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, Rita Ynoue, Shane O'Sullivan, Edzer Pebesma, María de Fátima Andrade, and Mauricio Osses

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Cited articles

Abou Rafee, S. A., Martins, L. D., Kawashima, A. B., Almeida, D. S., Morais, M. V. B., Souza, R. V. A., Oliveira, M. B. L., Souza, R. A. F., Medeiros, A. S. S., Urbina, V., Freitas, E. D., Martin, S. T., and Martins, J. A.: Contributions of mobile, stationary and biogenic sources to air pollution in the Amazon rainforest: a numerical study with the WRF-Chem model, Atmos. Chem. Phys., 17, 7977–7995, https://doi.org/10.5194/acp-17-7977-2017, 2017.
Albuquerque, T.: Distribuição de tamanho, composição química e identificação das fontes de aerossol atmosférico de São Paulo: Um estudo de caso para o inverno de 2003, Ph.D. thesis, São Paulo: University of São Paulo, 2005.
Andrade, M. D. F., Ynoue, R. Y., Freitas, E. D., Todesco, E., Vara Vela, A., Ibarra, S., Martins, L. D., Martins, J. A., and Carvalho, V. S. B.: Air quality forecasting system for Southeastern Brazil, Front. Environ. Sci., 3, 1–12, https://doi.org/10.3389/fenvs.2015.00009, 2015.
Andrade, M. D. F., Kumar, P., de Freitas, E. D., Ynoue, R. Y., Martins, J., Martins, L. D., Nogueira, T., Perez-Martinez, P., de Miranda, R. M., Albuquerque, T., Gonçalves, F. L. T., Oyama, B., and Zhang, Y.: Air quality in the megacity of São Paulo: Evolution over the last 30 years and future perspectives, Atmos. Environ., 159, 66–82, https://doi.org/10.1016/j.atmosenv.2017.03.051, 2017.
André, M.: The ARTEMIS European driving cycles for measuring car pollutant emissions, Sci. Total. Environ., 334, 73–84, 2004.
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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.