Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/69037
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Fitting performance of particle-size distribution models on data derived by conventional and laser diffraction techniques
Author: Bah, A.
Kravchuk, O.
Kirchhof, G.
Citation: Soil Science Society of America Journal, 2009; 73(4):1101-1107
Publisher: Soil Sci Soc Amer
Issue Date: 2009
ISSN: 0361-5995
1435-0661
Statement of
Responsibility: 
Abdul R. Bah, Olena Kravchuk and Gunnar Kirchhof
Abstract: Mathematical description of most classical particle size distribution (PSD) data is often used for estimating soil hydraulic properties. Fast laser diffraction (LD) techniques now provide more detailed PSDs, but deriving a function to characterize the entire range of sizes is a major challenge. The aim of this study was to compare the fitting performance of seven PSD functions with one to four parameters on sieve-pipette and LD data sets of fine-textured soils. The fits were evaluated by the adjusted R 2, MSE, and Akaike's information criterion. The fractal and exponential functions performed poorly while the performance of the Gompertz model increased with clay content for the LD data sets. The Fredlund function provided very good fits with sieve-pipette PSDs but not the corresponding LD data sets, probably due to underestimation of the clay fraction in the latter. The two-parameter lognormal function showed better overall performance and provided very good fits with both sieve-pipette and LD data sets.
Rights: © Soil Science Society of America
RMID: 0020114347
DOI: 10.2136/sssaj2007.0433
Grant ID: http://purl.org/au-research/grants/arc/LP0347734
Appears in Collections:Agriculture, Food and Wine publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.