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<p>Aerosol (AER) dispersion poses crucial challenges in urban environments due to its impact on air quality and public health. This study examines the influence of wind on the spatial and temporal distribution of the AER across Iran, using Sentinel-5P satellite data in conjunction with meteorological data spanning four years (2019–2022). Pearson correlation and linear regression models were applied to assess the influence of wind patterns on AER distribution across different regions. Preliminary findings demonstrated significant correlations between AER levels and wind patterns, suggesting that wind plays a substantial role in the dispersion of absorbing aerosols. Temporally, elevated AER levels were found during summer, likely due to increased anthropogenic activities and specific meteorological conditions. In contrast, lower levels were noted in winter months, attributed to stronger winds and precipitation. The results demonstrated that wind systems primarily cause the transfer of air pollutants from central urban areas (specifically the densely populated regions R5-R6, containing Tehran’s city center) to surrounding peripheral regions, with strong secondary evidence of inter-regional accumulation in specific downwind receptor areas (particularly R4), indicating the critical role of wind in transporting pollutants. These results highlight the importance of understanding regional wind patterns and their interaction with geographical and meteorological factors for air quality management.</p>

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Urban Atmospheric Aerosol Transport Driven by Wind: Insights from Remote Sensing Data

  • 期刊论文

  • 发表日期：

    2026年4月21日

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  • Abdullah Kaviani Rad,
  • Zeinab Esmaeili,
  • Mohammad Javad Nematollahi,
  • Gholamreza Goudarzi

摘要

Aerosol (AER) dispersion poses crucial challenges in urban environments due to its impact on air quality and public health. This study examines the influence of wind on the spatial and temporal distribution of the AER across Iran, using Sentinel-5P satellite data in conjunction with meteorological data spanning four years (2019–2022). Pearson correlation and linear regression models were applied to assess the influence of wind patterns on AER distribution across different regions. Preliminary findings demonstrated significant correlations between AER levels and wind patterns, suggesting that wind plays a substantial role in the dispersion of absorbing aerosols. Temporally, elevated AER levels were found during summer, likely due to increased anthropogenic activities and specific meteorological conditions. In contrast, lower levels were noted in winter months, attributed to stronger winds and precipitation. The results demonstrated that wind systems primarily cause the transfer of air pollutants from central urban areas (specifically the densely populated regions R5-R6, containing Tehran’s city center) to surrounding peripheral regions, with strong secondary evidence of inter-regional accumulation in specific downwind receptor areas (particularly R4), indicating the critical role of wind in transporting pollutants. These results highlight the importance of understanding regional wind patterns and their interaction with geographical and meteorological factors for air quality management.