Meteorological Determinants of PM2.5 and PM10 Concentrations During the Transition Season in Campo Grande, Central Brazil

Authors

  • Amaury de Souza

    Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande C.P. 549, 79070-900, Brazil
  • Widinei A. Fernandes

    Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande C.P. 549, 79070-900, Brazil
  • Hamilton Germano Pavao

    Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande C.P. 549, 79070-900, Brazil
  • José Francisco de Oliveira Júnior

    Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas, Maceió 57072-260, Brazil
  • Ivana Pobocikova

    Department of Applied Mathematics, Faculty of Mechanical Engineering, University of Zilina, 010 26 Žilina, Slovakia
  • Kelvy Rosalvo Alencar Cardoso

    Institute of Atmospheric Sciences (ICAT), Federal University of Alagoas, Maceió 57072-260, Brazil

DOI:

https://doi.org/10.30564/jasr.v8i4.10903
Received: 3 July 2025 | Revised:28 August 2025 | Accepted:6 September 2025 | Published Online: 13 September 2025

Abstract

Air pollution remains a pressing environmental issue in Brazilian cities, particularly during the dry season when meteorological conditions favor pollutant accumulation. This study investigates the influence of meteorological variables on PM₂.₅ and PM₁₀ concentrations in the urban atmosphere of Campo Grande, Mato Grosso do Sul, Brazil, during the transition period between the wet and dry seasons (March to June 2021). Data were obtained from the air quality monitoring station at the Federal University of Mato Grosso do Sul (UFMS), including daily measurements of particulate matter and meteorological parameters such as temperature, humidity, precipitation, atmospheric pressure, wind speed, and wind direction. Descriptive statistics, Pearson’s correlation, multiple linear regression, and Principal Component Analysis (PCA) were employed to explore the relationships between meteorological drivers and particulate matter. Results revealed that relative humidity and precipitation are negatively correlated with PM concentrations, indicating their role in atmospheric cleansing through wet deposition. Conversely, wind speed and atmospheric pressure were positively associated with PM levels, suggesting pollutant transport or accumulation under stable atmospheric conditions. The PM₂.₅/PM₁₀ ratios of 0.55 (1-hour) and 0.44 (24-hour) point to a predominance of fine particles from anthropogenic sources. The findings highlight the complexity of pollutant-meteorology interactions and underscore the need to incorporate meteorological data into air quality forecasting and management strategies. This approach is especially critical for medium-sized tropical cities that experience seasonal climate extremes and are subject to both urban and biomass-burning emissions.

Keywords:

Air Pollution; Particulate Matter; Meteorological Variables; Statistical Analysis; Campo Grande; Particulate Matter (PM₂.₅, PM₁₀); Tropical Urban Climate

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How to Cite

Souza, A. de, Fernandes , W. A., Pavao, H. G., Oliveira Júnior J. F. de, Pobocikova, I., & Cardoso, K. R. A. (2025). Meteorological Determinants of PM2.5 and PM10 Concentrations During the Transition Season in Campo Grande, Central Brazil. Journal of Atmospheric Science Research, 8(4), 19–31. https://doi.org/10.30564/jasr.v8i4.10903

Issue

Vol. 8 , Iss. 4 (October 2025): In Progress

Article Type

ARTICLE

License

Copyright © 2025 Amaury de Souza, Widinei A. Fernandes , Hamilton Germano Pavao, José Francisco de Oliveira Júnior, Ivana Pobocikova, Kelvy Rosalvo Alencar Cardoso

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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