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Air, Volume 4, Issue 1

2026 March - 2 articles

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Articles (2)

  • Article
  • Open Access
494 Views
20 Pages
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Spatiotemporal Graph Neural Networks for PM2.5 Concentration Forecasting

  • Vongani Chabalala,
  • Craig Rudolph,
  • Karabo Mosala,
  • Edward Khomotso Nkadimeng,
  • Chuene Mosomane,
  • Thuso Mathaha,
  • Pallab Basu,
  • Muhammad Ahsan Mahboob,
  • Jude Kong and
  • Bruce Mellado
  • + 3 authors
Air2026, 4(1), 2;https://doi.org/10.3390/air4010002

13 January 2026

Air pollution, particularly fine particulate matter (PM2.5), poses significant public health and environmental risks. This study explores the effectiveness of spatiotemporal graph neural networks (ST-GNNs) in forecasting PM2.5 concentrations by integ...

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  • Article
  • Open Access
241 Views
15 Pages
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Validation of an Experimental Protocol for Estimating Emission Factors from Vehicle-Induced Road Dust Resuspension

  • Ahmed Benabed,
  • Adrian Arfire,
  • Hanaa ER-Rbib,
  • Safwen Ncibi,
  • Elizabeth Fu and
  • Pierre Pousset
Air2026, 4(1), 1;https://doi.org/10.3390/air4010001

7 January 2026

Road dust resuspension is widely recognized as a major contributor to traffic-related particulate matter (PM) in urban environments. Nevertheless, reported emission factors exhibit substantial variability. These discrepancies stem not only from the i...

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Air - ISSN 2813-4168
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