• DocumentCode
    1754035
  • Title

    Quantitative Assessment of Heterogeneity of Loamy Soil Particle Size Distribution: A Multifractal Approach

  • Author

    Xiaoyan, Guan ; Peiling, Yang ; Shaoli, Wang ; Ye, Lv

  • Author_Institution
    Dept. of Irrigation & Drainage, China Inst. of Water Resources & Hydropower Res., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    Particle size distribution (PSD) constitutes a fundamental soil property correlated to many other soil properties. In this paper, we describe a multifractal approach to characterize particle-size distribution of loamy soil and use the information obtained to quantify the soil heterogeneity. Particle size distributions of the experimental samples were characterized by multifractal techniques, six loamy soil samples were analyzed routinely for particle size distribution by laser diffraction in the range of scales, varying from 0.02 to 2000μm. The generalized multifractal spectrum, Dq was calculated in the range of moment order (q) between -10 and 10. Samples showed heterogeneity in their multifractal behavior, .D1 and the coefficients of determination of D1 presented 0.82<;D1<;0.90 and R2≥0.99 respectively, D1/D0 and D0-D1 discriminates heterogeneity of PSD, The result indicates that multifractal approach may be useful for characterizing particle size distribution and thus quantifying the soil heterogeneity.
  • Keywords
    fractals; geophysical techniques; soil; generalized multifractal spectrum; laser diffraction; loamy soil particle size distribution; moment order; multifractal approach; quantitative assessment; size 0.02 micron to 2000 micron; soil heterogeneity; soil property; Atmospheric measurements; Biological system modeling; Fractals; Particle measurements; Size measurement; Soil; System-on-a-chip; heterogeneity; laser diffraction; multifractal spectrum; soil particle size distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.59
  • Filename
    5750591