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Tracing the Dust: Two Decades of Dust Storm Dynamics in Yazd Province from Ground-Based and Satellite Aerosol Observations

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  • Additional Information
    • Publication Information:
      Multidisciplinary Digital Publishing Institute
    • Publication Date:
      2025
    • Collection:
      MDPI Open Access Publishing
    • Subject Terms:
    • Abstract:
      Yazd province in central Iran is highly prone to dust and sand storms, causing significant environmental, economic, and health impacts. This study investigates the spatiotemporal dynamics of dust storms in Yazd over 2003–2022 using ground-based meteorological station records and satellite-derived aerosol optical depth (AOD) data from MODIS (MYD08_D3 v6.1) at monthly, seasonal, and annual scales. Analysis of ten synoptic stations data revealed an increasing trend of ~0.5 dusty days/year, with the highest frequency in spring and winter, particularly from March to May. MODIS AOD data confirmed these patterns and showed a rising annual aerosol load, peaking in May. Spatial analysis indicated that central and northern regions are most affected, consistent across datasets. The increasing frequency and intensity of dust storms are driven by natural and anthropogenic factors, including regional drought, desertification, drying wetlands, land use changes, and transboundary dust transport (from Iraq, Syria, Saudi Arabia). These findings underscore the value of integrating in situ and remote sensing observations to monitor dust events. To mitigate impacts, policymakers should prioritize long-term environmental monitoring and interventions addressing both natural and human factors influencing dust emissions. This study provides actionable insights for decision-makers to enhance environmental resilience and protect public health in arid regions.
    • File Description:
      application/pdf
    • Relation:
      Atmospheric Techniques, Instruments, and Modeling; https://dx.doi.org/10.3390/atmos16111242
    • Accession Number:
      10.3390/atmos16111242
    • Online Access:
      https://doi.org/10.3390/atmos16111242
    • Rights:
      https://creativecommons.org/licenses/by/4.0/
    • Accession Number:
      edsbas.B36CB679