Spatiotemporal Analysis of Air Pollution by NO2 in Urban and Rural Areas of Brazil Using Google Earth Engine and R

Remote sensing has notably advanced in terms of the information that can be extracted from generated products. The combined use of different sensor systems proves effective in detecting environmental changes and reducing uncertainties about where significant atmospheric pollutant emissions occur. This study aimed to analyze the spatiotemporal variation of atmospheric pollution by NO2 in urban and rural areas of the states of São Paulo, Rio de Janeiro, and Minas Gerais, Brazil, from September 2023 to September 2024. Tropospheric NO2 data were collected using the TROPOMI sensor on the Sentinel-5P satellite. The results indicated that urban areas exhibited the highest average levels of atmospheric NO2 pollution. In the metropolitan region of São Paulo, the average atmospheric NO2 concentration was 1.90E-04 mol.m-2, followed by the metropolitan region of Rio de Janeiro at 1.10E-04 mol.m-2 and the metropolitan region of Belo Horizonte at 0.83E-04 mol.m-2. In rural areas—specifically agricultural and pasture regions—the highest daily average of atmospheric NO2 pollution was recorded in São Paulo at 1.50E-04 mol.m-2, followed by Rio de Janeiro at 0.94E-04 mol.m-2 and Belo Horizonte at 0.66E-04 mol.m-2. From June to August 2024, elevated levels of NO2 air pollution were observed. This study concludes that metropolitan regions have higher levels of NO2 pollution compared to rural areas in all three states of Brazil. The burning of fossil fuels in industries, emissions from motor vehicles, and urban waste are likely contributing factors to the higher pollution levels in metropolitan areas compared to rural regions.

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Publication Details

Journal
Theoretical and Applied Engineering
Published
2025-01-29
DOI
https://doi.org/10.31422/taae.v8i4.65
Primary Topic
Impact of Light on Environment and Health
Type
article
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article

Spatiotemporal Analysis of Air Pollution by NO2 in Urban and Rural Areas of Brazil Using Google Earth Engine and R

Fortunato Silva de Menezes, Bruno de Oliveira Schneider, Marcelo de Carvalho Alves, Flávio Vanoni de Carvalho Júnior et al.
Theoretical and Applied Engineering
Impact of Light on Environment and Health
article

Spatiotemporal Analysis of Air Pollution by NO2 in Urban and Rural Areas of Brazil Using Google Earth Engine and R

Fortunato Silva de Menezes, Bruno de Oliveira Schneider, Marcelo de Carvalho Alves, Flávio Vanoni de Carvalho Júnior, Orlando Eduardo Chipura
article en

Abstract

Remote sensing has notably advanced in terms of the information that can be extracted from generated products. The combined use of different sensor systems proves effective in detecting environmental changes and reducing uncertainties about where significant atmospheric pollutant emissions occur. This study aimed to analyze the spatiotemporal variation of atmospheric pollution by NO2 in urban and rural areas of the states of São Paulo, Rio de Janeiro, and Minas Gerais, Brazil, from September 2023 to September 2024. Tropospheric NO2 data were collected using the TROPOMI sensor on the Sentinel-5P satellite. The results indicated that urban areas exhibited the highest average levels of atmospheric NO2 pollution. In the metropolitan region of São Paulo, the average atmospheric NO2 concentration was 1.90E-04 mol.m-2, followed by the metropolitan region of Rio de Janeiro at 1.10E-04 mol.m-2 and the metropolitan region of Belo Horizonte at 0.83E-04 mol.m-2. In rural areas—specifically agricultural and pasture regions—the highest daily average of atmospheric NO2 pollution was recorded in São Paulo at 1.50E-04 mol.m-2, followed by Rio de Janeiro at 0.94E-04 mol.m-2 and Belo Horizonte at 0.66E-04 mol.m-2. From June to August 2024, elevated levels of NO2 air pollution were observed. This study concludes that metropolitan regions have higher levels of NO2 pollution compared to rural areas in all three states of Brazil. The burning of fossil fuels in industries, emissions from motor vehicles, and urban waste are likely contributing factors to the higher pollution levels in metropolitan areas compared to rural regions.

Theoretical and Applied EngineeringVol. 8(4)
Universidade Federal de Lavras (BR)
Openalex Percentile: Top 99%
Impact of Light on Environment and Health
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