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Journal of Desert Research ›› 2019, Vol. 39 ›› Issue (2): 202-208.DOI: 10.7522/j.issn.1000-694X.2019.00012

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Particle Size Distribution Models of Gobi Sediments and Its Significance to the Effect of Sorting

Xiong Xin1, Wang Haibin1, Xiao Jianhua2, Zuo Hejun1   

  1. 1. Desert Science and Engineering College/Key Laboratory of Aeolian Sand Physics and Sand Control Engineering in Inner Mongolia, Inner Mongolia Agricultural University, Hohhot 010011, China;
    2. Northwest Institute of Eco-Environmental and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • Received:2018-09-26 Revised:2019-01-20 Published:2019-04-11

Abstract: Studying particle size distribution models is the basis for understanding the formation process of gobi. However, the frequency distribution of surface sediment components in gobi desert are characterized by multimodal, and the general particle size distribution function with Log-normal or Weibull distribution are difficult to be used to correctly express the particle size distribution characteristics of sediments with multimodal. Therefore, this study was designed to analyze the particle size distribution of the gobi surface sediments using the monotonicaly decreasing function P(di)=Cdi-μexp(-di/Dc). The results showed that this function was able to reflect the particle size distribution characteristics of gobi surface sediment components with the goodness of fit as R2>0.99. The range of parameter C was 52.64-166.75, μ was 0.083-0.108, and Dc was 0.103-2.336. Under the effect of sorting, the components for jumping movement was large with relatively small μ and Dc values in sand-rich surface of gobi. The residual components for wind-induced erosion and creep movement was large with relatively large μ and Dc values in gravel-rich surface of gobi. The parameters using particle size model can reveal the sorting sedimentary characteristics of alluvial fan gobi and provide a new indicating parameter for analyzing the formation process of gobi surface and the wind-induced erosion.

Key words: particle size components, particle size distribution model, sandy gravelly surface, gobi

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