Spatiotemporal of Particulate Matter (PM <sub>2.5</sub> ) and Ozone (O <sub>3</sub> ) in Eastern Northeast Brazil

This research examines particulate matter with a diameter of 2.5 micrometers (PM2.5) and ozone (O3) variation across the climatic mesoregions of Alagoas. Mean PM2.5 and O3 concentrations across three mesoregions were as follows: East (5.91; 44.22 μg.m−3), Hinterland (6.90; 44.18 μg.m−3), and Arid (7.03; 44.23 μg.m−3). Spatial and temporal variations were observed, with PM2.5 concentrations highest in the northwest (NW) and O3 concentrations in the east (E), influenced by local sources, weather, and transportation. Differences between rainy and dry years were noted, attributed to biomass burning and dust particle transport. This study establishes a baseline for understanding air quality, lacking monitoring stations, aiding policymaking. It provides insights into PM2.5 and O3 dynamics, with PM2.5 concentrations highest in the NW and lower O3 concentrations in the E. Temporal variations emphasize the need for dynamic monitoring. Positive correlations between PM2.5 and O3 highlight complex relationships. Practical implications include proactive policymaking and the necessity for monitoring stations. Rigorous statistical methodologies inform model selection, enhancing environmental data understanding. Despite changes in land use, studies on extreme probability distributions are limited, emphasizing the need for robust methodologies for environmental data analysis to address air pollution challenges effectively in Alagoas.

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Publication Details

Journal
Ozone Science and Engineering
Published
2024-08-19
DOI
https://doi.org/10.1080/01919512.2024.2388597
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Spatiotemporal of Particulate Matter (PM 2.5 ) and Ozone (O 3 ) in Eastern Northeast Brazil

Deniz Özonur, Wagner Alessandro Pansera, Elias Silva de Medeiros, Kelvy Rosalvo Alencar Cardoso et al.
Ozone Science and Engineering
Air Quality and Health Impacts
article

Spatiotemporal of Particulate Matter (PM 2.5 ) and Ozone (O 3 ) in Eastern Northeast Brazil

Deniz Özonur, Wagner Alessandro Pansera, Elias Silva de Medeiros, Kelvy Rosalvo Alencar Cardoso, José Francisco de Oliveira‐Júnior, Marcel Carvalho Abreu, Amaury de Souza, Ivana Pobočíková, J. Jimenez, Guilherme Henrique Cavazzana
article en

Abstract

This research examines particulate matter with a diameter of 2.5 micrometers (PM2.5) and ozone (O3) variation across the climatic mesoregions of Alagoas. Mean PM2.5 and O3 concentrations across three mesoregions were as follows: East (5.91; 44.22 μg.m−3), Hinterland (6.90; 44.18 μg.m−3), and Arid (7.03; 44.23 μg.m−3). Spatial and temporal variations were observed, with PM2.5 concentrations highest in the northwest (NW) and O3 concentrations in the east (E), influenced by local sources, weather, and transportation. Differences between rainy and dry years were noted, attributed to biomass burning and dust particle transport. This study establishes a baseline for understanding air quality, lacking monitoring stations, aiding policymaking. It provides insights into PM2.5 and O3 dynamics, with PM2.5 concentrations highest in the NW and lower O3 concentrations in the E. Temporal variations emphasize the need for dynamic monitoring. Positive correlations between PM2.5 and O3 highlight complex relationships. Practical implications include proactive policymaking and the necessity for monitoring stations. Rigorous statistical methodologies inform model selection, enhancing environmental data understanding. Despite changes in land use, studies on extreme probability distributions are limited, emphasizing the need for robust methodologies for environmental data analysis to address air pollution challenges effectively in Alagoas.

Ozone Science and EngineeringVol. 47(1)
Universidade Federal do Rio de Janeiro (BR), Universidade Federal de Mato Grosso do Sul (BR), Universidade Tecnológica Federal do Paraná (BR), Universidade Federal Rural do Rio de Janeiro (BR), Universidade Federal da Grande Dourados (BR), University of Žilina (SK), Instituto Politécnico Nacional (MX), Universidade Federal de Alagoas (BR), Gazi University (TR)
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Openalex Percentile: Top 82%
Air Quality and Health Impacts
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