Multispecies and high-spatiotemporal-resolution database of vehicular emissions in Brazil

Hoinaski, Leonardo; Vasques, Thiago Vieira; Ribeiro, Camilo Bastos; Meotti, Bianca

doi:10.5194/essd-14-2939-2022

Cited by 8 publications

(3 citation statements)

References 27 publications

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“…BRAIN uses the multispecies and high-spatiotemporalresolution database of vehicular emissions from the Brazilian Vehicular Emission Inventory Software (BRAVES) (Hoinaski et al, 2022;Vasques and Hoinaski, 2021). The BRAVES database disaggregates municipality-aggregated emissions using the road density approach and temporal disaggregation based on vehicular flow profiles.…”

Section: Vehicular Emissionsmentioning

confidence: 99%

Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil

Hoinaski,

Will,

Ribeiro

2024

Earth Syst. Sci. Data

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Abstract. Developing air quality management systems to control the impacts of air pollution requires reliable data. However, current initiatives do not provide datasets with large spatial and temporal resolutions for developing air pollution policies in Brazil. Here, we introduce the Brazilian Atmospheric Inventories (BRAIN), the first comprehensive database of air quality and its drivers in Brazil. BRAIN encompasses hourly datasets of meteorology, emissions, and air quality. The emissions dataset includes vehicular emissions derived from the Brazilian Vehicular Emissions Inventory Software (BRAVES), industrial emissions produced with local data from the Brazilian environmental agencies, biomass burning emissions from FINN – Fire INventory from the National Center for Atmospheric Research (NCAR), and biogenic emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN) (https://doi.org/10.57760/sciencedb.09858, Hoinaski et al., 2023a; https://doi.org/10.57760/sciencedb.09886, Hoinaski et al., 2023b). The meteorology dataset has been derived from the Weather Research and Forecasting Model (WRF) (https://doi.org/10.57760/sciencedb.09857, Hoinaski and Will, 2023a; https://doi.org/10.57760/sciencedb.09885, Hoinaski and Will, 2023c). The air quality dataset contains the surface concentration of 216 air pollutants produced from coupling meteorological and emissions datasets with the Community Multiscale Air Quality Modeling System (CMAQ) (https://doi.org/10.57760/sciencedb.09859, Hoinaski and Will, 2023b; https://doi.org/10.57760/sciencedb.09884, Hoinaski and Will, 2023d). We provide gridded data in two domains, one covering the Brazilian territory with 20×20 km spatial resolution and another covering southern Brazil with 4×4 km spatial resolution. This paper describes how the datasets were produced, their limitations, and their spatiotemporal features. To evaluate the quality of the database, we compare the air quality dataset with 244 air quality monitoring stations, providing the model's performance for each pollutant measured by the monitoring stations. We present a sample of the spatial variability of emissions, meteorology, and air quality in Brazil from 2019, revealing the hotspots of emissions and air pollution issues. By making BRAIN publicly available, we aim to provide the required data for developing air quality policies on municipal and state scales, especially for under-developed and data-scarce municipalities. We also envision that BRAIN has the potential to create new insights into and opportunities for air pollution research in Brazil.

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Section: Vehicular Emissionsmentioning

confidence: 99%

Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil

Hoinaski,

Will,

Ribeiro

2024

Earth Syst. Sci. Data

Self Cite

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show abstract

“…BRAIN uses the multispecies and high-spatiotemporal-resolution database vehicular emissions from Brazilian Vehicular Emission Inventory Software -BRAVES (Hoinaski et al, 2022;Vasques and Hoinaski, 2021). BRAVES database disaggregates municipality aggregated emissions using the road density approach and temporal disaggregation based on 90 vehicular flow profiles.…”

Section: Vehicular Emissionsmentioning

confidence: 99%

Brazilian Atmospheric Inventories – BRAIN: A comprehensive database of air quality in Brazil

Hoinaski,

Will,

Ribeiro

2023

Preprint

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Abstract. Developing air quality management systems to control the impacts of air pollution requires reliable data. However, current initiatives do not provide datasets with large spatial and temporal resolutions for developing air pollution policies in Brazil. Here, we introduce the Brazilian Atmospheric Inventories – BRAIN, the first comprehensive database of air quality and its drivers in Brazil. BRAIN encompasses hourly datasets of meteorology, emissions, and air quality. We provide gridded data in two domains, covering the Brazilian territory with 20x20 km of spatial resolution and another covering Southern Brazil with 4x4 km. The emissions dataset includes vehicular emissions derived from the Brazilian Vehicular Emissions Inventory Software (BRAVES), industrial emissions produced with local data from the Brazilian environmental agencies, biomass burning emissions from FINN – Fire Inventory from the National Center for Atmospheric Research (NCAR), and biogenic emissions from the Model of Emissions of Gases and Aerosols from Nature (MEGAN). The meteorology dataset has been derived from Weather Research and Forecasting Model (WRF). The air quality dataset contains the surface concentration of 216 air pollutants produced from coupling meteorological and emissions datasets with the Community Multiscale Air Quality Modeling System (CMAQ). This paper describes how the datasets were produced, their limitations, and their spatiotemporal features. To evaluate the quality of the database, we compare the air quality dataset with 244 air quality monitoring stations, providing the model’s performance for each measured pollutant by the monitoring stations. We present a sample of the spatial variability of emissions, meteorology, and air quality in Brazil from 2019, revealing the hotspots of emissions and air pollution issues. By making BRAIN publicly available, we aim to provide the required data for developing air quality policies on municipality and state scales, especially for not developed and data-scarce municipalities. We also envision that BRAIN has the potential to create new insights and opportunities for air pollution research in Brazil.

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“…Additionally, some tools have been locally developed to estimate and disaggregate emissions, particularly in the road transport sector, i.e., the Disaggregation of on-ROad Vehicle Emissions algorithm -DROVE (González et al, 2020). Similar efforts have been made in Brazil, with the BRAzilian Vehicular Emissions inventory Software -BRAVES (Hoinaski et al, 2022;Vasques and Hoinaski, 2021), which has higher temporal, spatial, and chemical resolution than EDGAR. Also, the Vehicular Emissions Inventories package -VEIN (Ibarra-Espinosa et al, 2018), which provides vehicular emission outputs to be used in the WRF-Chem model.…”

mentioning

confidence: 99%

Road transport exhaust emissions in Colombia. 1990–2020 trends and spatial disaggregation

Rojas

Mangones

Osses

et al. 2023

Transportation Research Part D: Transport and Environment

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Multispecies and high-spatiotemporal-resolution database of vehicular emissions in Brazil

Cited by 8 publications

References 27 publications

Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil

Brazilian Atmospheric Inventories – BRAIN: a comprehensive database of air quality in Brazil

Brazilian Atmospheric Inventories – BRAIN: A comprehensive database of air quality in Brazil

Road transport exhaust emissions in Colombia. 1990–2020 trends and spatial disaggregation

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