Title: A robust algorithm for estimating soil erodibility in different climates
Authors: Borselli, L ×
Torri, Dino
Poesen, Jean
Iaquinta, P #
Issue Date: Oct-2012
Publisher: Elsevier
Series Title: Catena vol:97 pages:85-94
Abstract: The analysis of global soil erodibility data by Salvador Sanchis et al. (2008) showed that there is a significant
climate effect on soil erodibility which allows for a split of the data into two subsets, one for prevailing cool
conditions and another for prevailing warm conditions (defined using the Köppen climate classification). Despite
the recognition of this new dichotomous variable, prediction of soil erodibility values remained very
poor. This paper presents a new technique for dealing with such a variability by calculating probability density
functions of soil erodibility K values when the user knows a set of textural parameters and the climatic
classification of the site. Finally the user has the possibility to decide, on the basis of local knowledge,
which K value to use. The procedure has been implemented in a freeware software named KUERY available
for the scientific community. Finally, as an illustration, the methodology is applied to a catchment in south
ISSN: 0341-8162
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Geography & Tourism
× corresponding author
# (joint) last author

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