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January 14, 2026Applied Sciences0 citationsOpen Access

Spatial Analysis of the Distribution of Air Pollutants Along a Selected Section of a Transport Corridor: Comparison of the Results with Stationary Measurements of the European Air Quality Index

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AJAgata JarońMilitary University of Technology in WarsawABAnna BoruckaMilitary University of Technology in WarsawPDPaulina DeliśMilitary University of Technology in Warsaw

Key Points

  • To analyze the distribution of air pollutants and compare measurement methods in urban areas.
  • Conducted spatial analysis of air pollutants along a transport corridor
  • Utilized standard measurement methods and statistical approaches
  • Incorporated geostatistical data analysis to assess PM1, PM10, and PM2.5 levels
  • Identified spatial distributions of PM10, PM2.5, and PM1 dust
  • Found significant differences and similarities between measurement methods
  • Demonstrated the importance of including PM1 fractions in air quality monitoring

Abstract

Civilisational progress contributes to an increase in the number of vehicles on the road, thereby intensifying air pollutant emissions and accelerating the degradation of the natural environment. Effective protection of urban areas against air pollution enhances safeguarding against numerous allergies and diseases resulting from unplanned and unintended absorption of harmful pollutants into the human body. Sustainable urban planning requires the collaboration of multiple scientific disciplines. In this context, measurement becomes crucial, as it reveals the spatial scale of the problem and identifies existing disparities. This study uses an integrated approach of standard measurement methods and statistical and geostatistical data analysis, identifying PM1 fractions that are not included in EU air quality monitoring. The hypothesis explores how surface-based results correspond to point-based results from national air quality monitoring. The presented implications demonstrate similarities and differences between the studied measurement methods and the spatial distributions of PM10, PM2.5, and PM1 dust.

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Cite This Study

Jaroń et al. (2026) studied this question.

synapsesocial.com/papers/6966f31d13bf7a6f02c00bd9https://doi.org/10.3390/app16020736
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