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Published February 18, 2022 | Version BRAVES database version 1
Journal article Open

BRAVES database Version 1: vehicular emissions in Brazil.

  • 1. Federal University of Santa Catarina - Brazil

Description

The BRAzilian Vehicular Emissions inventory Software (BRAVES) database is 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 United States Environmental Protection Agency. We provide netCDF files with spatial resolution of 0.05x0.05 and annual emissions from 2013 to 2019. Files are divided by vehicle type (light, commercial-light, motorcycles, and heavy). We also provide the total vehicular emissions (sum of emissions from all vehicles types). The database contains  emissions of 41 chemical species, such as ACET, ACROLEIN, ALD2, BENZ, BUTADIENE13, CH4, CO, CO2, ETH, ETHA, ETHY, ETOH, FORM, ISO, N2O, NAPH, NO, NO2, PAL, PCA, PCL, PEC, PFE, PK, coarse mode primary PM (PMC), PMG, PMN, unspeciated PM2.5 (PMOTHR), PNA, PNH4, PNO3, POC, PRPA, PSI, PSO4, PTI, SO2, TERP, TOL, VOC, and XYLMN. Codes from BRAVES are available by registering at https://hoinaski.prof.ufsc.br/BRAVES/ and https://github.com/leohoinaski/BRAVES, where users can access instructions to run the database and download the input files.

Files description:

BRAVESdatabaseAnnual_BR_(Vehicle Type)_(resolution)_(year).nc - Annual emissions in Brazil by vehicle type and 0.05x0.05 degree of resolution.

Domain:

lower-left corner = -40 (latitude) , -80 (longitude)

upper-right corner = 10 (latitude), -30 (longitude)

 

Files

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Additional details

References

  • Hoinaski, L.; Vasques, T. V.; Ribeiro, C. B.; Meotti, B. (2022). BRAVES database version 1: Multispecies and high spatiotemporal resolution database of vehicular emissions in Brazil.
  • Hoinaski, L.; Vasques, T. V.; Ribeiro, C. B.; Meotti, B. BRAVES database version 1: Multispecies and high spatiotemporal resolution database of vehicular emissions in Brazil. 2022