Preprints
https://doi.org/10.5194/essd-2022-74
https://doi.org/10.5194/essd-2022-74
 
11 Mar 2022
11 Mar 2022
Status: this preprint is currently under review for the journal ESSD.

Multispecies and high spatiotemporal resolution database of vehicular emissions in Brazil

Leonardo Hoinaski1, Thiago Vieira Vasques2, Camilo Bastos Ribeiro2, and Bianca Meotti2 Leonardo Hoinaski et al.
  • 1Department of Sanitary and Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
  • 2Graduate Program in Environmental Engineering, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil

Abstract. In this article, we present the BRAzilian Vehicular Emissions inventory Software (BRAVES) data-base, a multispecies and high spatiotemporal resolution database of vehicular emissions in Brazil. We provide this database using spatial disaggregation based on road density, temporal disaggregation using vehicular flow profiles, and chemical speciation based on SPECIATE database from the Unit-ed States Environmental Protection Agency. Our BRAVES database provides hourly and annual emissions of 41 gaseous and particle pollutants. Users can define the spatial resolution, which ranges from a coarse to very refined scale Spatial correlation analysis reveals that the BRAVES database reaches similar performance to the vehicular emissions inventory from Emissions Database for Glob-al Atmospheric Research (EDGAR). A comparison with Modern-Era Retrospective analysis for Re-search and Applications, Version 2 (MERRA-2) surface concentration confirms the consistency and reliability of the BRAVES database on representing the spatial pattern of vehicular emissions. Com-pared to EDGAR, the BRAVES database brings more spatial, temporal, and chemical details. These additional features are crucial to understanding important atmospheric chemistry processes in Brazil. All codes and inputs are freely available, and the outputs are compatible with the input requirements of sophisticated chemical transport models. We envision that our database will enable the scientific and environmental community to gain new insights into vehicular emissions and their effects in Brazil, where emissions inventories are scarce and urgently needed.

Leonardo Hoinaski et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-74', Sergio Ibarra, 22 Apr 2022
    • AC1: 'Reply on RC1', Leonardo Hoinaski, 17 May 2022
  • RC2: 'Comment on essd-2022-74', Anonymous Referee #2, 13 May 2022
    • AC2: 'Reply on RC2', Leonardo Hoinaski, 17 May 2022
  • AC3: 'Response to referees comments', Leonardo Hoinaski, 20 May 2022

Leonardo Hoinaski et al.

Data sets

BRAVES database Version 1: vehicular emissions in Brazil. Leonardo Hoinaski, Thiago Vieira Vasques, Camilo Bastos Ribeiro, & Bianca Meotti https://zenodo.org/record/6141109#.YhAiPJZv_rc

Model code and software

BRAVES database code Leonardo Hoinaski and Thiago Vieira Vasques https://github.com/leohoinaski/BRAVES

Leonardo Hoinaski et al.

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Short summary
In Brazil, goods are essentially transported by a growing vehicular fleet. However, the atmospheric emissions of this prime source of air pollution are still unknown in most places. In this paper, we present the BRAzilian Vehicular Emissions inventory Software (BRAVES) database, containing detailed information on vehicular emissions of multiple types of air pollutants and covering the entire Brazilian territory. This data is crucial to understanding the air pollution in Brazil.