Improvement to the prediction of the USLE 'K' factor

Title
Improvement to the prediction of the USLE 'K' factor
Publication Date
2014
Author(s)
Shabani, Farzin
Kumar, Lalit
( author )
OrcID: https://orcid.org/0000-0002-9205-756X
Email: lkumar@une.edu.au
UNE Id une-id:lkumar
Esmaeili, Atefeh
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Elsevier BV
Place of publication
Netherlands
DOI
10.1016/j.geomorph.2013.08.008
UNE publication id
une:14222
Abstract
In the Universal Soil Loss Equation (USLE), the soil erodibility factor ('K') corresponds to the collective effects of the detachment susceptibility of soil and the sediment transportability as well as the amount and rate of runoff under a given rainfall erosivity. Based on the USLE equation, 'K' is sensitive to the particle size distribution ('M'), the percentage of organic matter (%'OM'), soil structure ('Z'), and soil permeability ('perm'). This study evaluated the sensitivity of 'K' to lime content (%'lime') in the soil and slope (%'slope') of the site. Although the effects of the slope factor ('S') on the amount of soil loss ('A') have been independently taken into account in the USLE, our results and other studies showed that 'K' is highly sensitive to other factors including %'lime' and %'slope'. To evaluate the appropriateness of the USLE nomograph and other methods for estimating 'K' and to develop a 'K' estimation method for limy soils, a set of 'K' values were measured in northern Iran using standard plots and natural precipitation events, for four different land uses (forest, rangeland, irrigated farming, and dry farming) and three slope categories (3-8%, 8-18% and 18-40%). Results indicated that there was considerable association between 'K' and soil properties including the contents of sand, silt, very fine sand, organic matter and particularly lime, as well as slope inclination. A strong linear relationship was observed between the 'K' values estimated from our model and the measured 'K' was observed (adjusted 'R'² = 0.89), indicating that considering lime and slope gives a better estimate of 'K'.
Link
Citation
Geomorphology, v.204, p. 229-234
ISSN
1872-695X
0169-555X
Start page
229
End page
234

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