Analysis of the Severe Dust Process and Its Impact on Air Quality in Northern China

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Abstract
Extreme meteorological events can influence air quality. In March 2021, northern China experienced a severe dust event, leading to widespread air quality deterioration. Using reanalysis datasets and station data, we investigate the synoptic weather patterns, dust transport characteristics, and associated impacts on air quality during this event. The results are as follows. (1) The dust event is closely linked to the Mongolian cyclone, providing favorable conditions for dust emission and long-distance transport. (2) The Gobi Desert in Mongolia is the primary source, with dust particles transported from Mongolia to northern China via the northwesterly flow. Dust transport exhibits a complex three-dimensional structure, with the most intense dust transport at approximately 2500 m altitude. (3) The impact of this dust event on air quality was characterized by its remarkable intensity, extensive spatial coverage, and prolonged duration. Additionally, 58.8% of the stations in northern China experienced pollution, 36.3% of them reached severe pollution levels or higher, and 35.9% of the sites experienced more than 12 h of pollution. (4) The visibility at the northern stations near the dust source rapidly decreases due to solid dust particles. In contrast, the southern stations, with higher moisture content, are primarily affected by liquid particles in terms of visibility. After the frontal passage, wet deposition from the precipitation process gradually improves visibility.
Funding Information
  • National Natural Science Foundation of China (72293604, 101302/R17061, 2019KCXTF021, 080503032101, 231420003)
  • program for scientific research start-up funds of Guangdong Ocean University (72293604, 101302/R17061, 2019KCXTF021, 080503032101, 231420003)
  • Guangdong Provincial College Innovation Team Project (72293604, 101302/R17061, 2019KCXTF021, 080503032101, 231420003)
  • First-class Discipline Plan of Guangdong Province (72293604, 101302/R17061, 2019KCXTF021, 080503032101, 231420003)

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