E. Kozak et al., A MODIFIED NUMBER-BASED METHOD FOR ESTIMATING FRAGMENTATION FRACTAL DIMENSIONS OF SOILS, Soil Science Society of America journal, 60(5), 1996, pp. 1291-1297
Fractal theory has been applied to the characterization of particle- a
nd aggregate-size distributions in soils. We used a number-based metho
d for estimating fragmentation fractal dimensions from these distribut
ions. This method has several inconsistencies. The objectives of our s
tudy were to: (i) propose a modified number-based method, (ii) evaluat
e the modified method using published data on particle- and aggregate-
size distributions, and (iii) apply the modified method to a large par
ticle-size distribution data base to analyze the validity of fractal s
caling. Assuming scale-invariant fragmentation to be a valid model of
particle-size distribution within size ranges of fractions, we derived
a formula expressing the characteristic grain size as a function of t
he fractal dimension and limits of the grain size range. Parameters of
Turcotte's fractal fragmentation model were found by minimizing the s
um of squares of differences between measured and calculated masses of
grain fractions. Comparison berween original and modified number-base
d methods showed that the modified method generally resulted in lower
fragmentation fractal dimensions than the original method. The modifie
d method was applied to a data set of particle-size distributions of 2
600 soil samples. In 80% of samples, the fractal scaling was not appli
cable across the whole range of particle size between 0.002 and 1 mm,
since errors of the fractal fragmentation model were statistically sig
nificantly larger than measurement errors, and estimates of the fracta
l dimension were larger than 3. It appears that models more sophistica
ted than scale-invariant fragmentation are required to simulate soil p
article-size distributions.