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Estimating Particle‐Size Distribution from Limited Soil Texture Data
Author(s) -
Skaggs T. H.,
Arya L. M.,
Shouse P. J.,
Mohanty B. P.
Publication year - 2001
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2001.6541038x
Subject(s) - silt , soil texture , particle size distribution , particle size , soil water , particle (ecology) , mathematics , distribution (mathematics) , soil science , mineralogy , texture (cosmology) , statistics , materials science , environmental science , geology , mathematical analysis , computer science , geomorphology , paleontology , oceanography , artificial intelligence , image (mathematics)
Particle‐size distribution is a fundamental physical property of soils. Because particle‐size data are frequently incomplete, it would be useful to have a method for inferring the complete particle‐size distribution from limited data. We present a method for estimating the particle‐size distribution from the clay (cl), silt (si), and fine plus very fine sand (fvfs) mass fractions (particle radii, r , between 25 and 125 μm). The method is easy to use, with the estimated distribution being given by a closed‐form expression that is defined explicitly in terms of cl, si, and fvfs. The accuracy of the method is evaluated using particle‐size data from 125 soils. The results show that the method should not be used when the silt fraction is greater than about 70%. For other soils, the estimated distribution agrees reasonably well with the true distribution, with the median level of accuracy being characterized by an average absolute deviation of 2% over 1 μm ≤ r ≤ 1000 μm, and a maximum absolute deviation of 9%.