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Journal of Desert Research ›› 2023, Vol. 43 ›› Issue (2): 150-158.DOI: 10.7522/j.issn.1000-694X.2022.00112

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Particle size characteristics of sandstorm and surface sand at Tazhong area of Taklimakan Desert, China

Jingping Chen1(), Ziying Yu1, Fan Yang2, Mi Wang1, Han Hu1, Guanzhong Ni1, Xin Gao3, Xin Wang1()   

  1. 1.College of Earth and Environmental Sciences,Lanzhou University,Lanzhou 730000,China
    2.National Observation and Research Station of Taklimakan Desert Meteorology of Xinjiang,Institute of Desert Meteorology,China Meteorological Administration,Urumqi 830002,China
    3.Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China
  • Received:2022-07-14 Revised:2022-09-05 Online:2023-03-20 Published:2023-04-12
  • Contact: Xin Wang

Abstract:

Focused on the variation of particle size characteristics of surface sand before and after sandstorms in the Taklamakan Desert hinterland, we conducted a systematic particle size analysis of surface sand, including parameter calculation, particle size component separation and function fitting. The results show that: (1) The average particle size of the surface sand sample is 143 μm, dominated by fine and very fine sand, which together accounted for 87.02%; after the sandstorm, dominated by very fine sand and fine sand, which together accounted for 79.44%. (2) The average particle size of the sandstorm sample is 82 μm, dominated by powdery sand and very fine sand, which together accounted for 80.89%. (3) After the sandstorm, the average particle size of the surface sand decreased by 46 μm, and the content of clay, powder and very fine sand increased, indicating that the large amount of fine-grained material carried by the dust storm had an important influence on the particle size characteristics of the surface sand. (4) The variation of sand particle size with height is mainly controlled by wind speed, with wind speed thresholds ranging from 7.7 m·s-1 to 8.4 m·s-1. In three-dimensional space, the second-order polynomial surface model can well fit the function relationship between the average sand particle size and the average wind speed.

Key words: Taklimakan Desert, sandstorm, particle size, function fitting

CLC Number: