Abstract:
Determination of the soil erodibility factor (
K-factor
) is a cumbersome and expensive
undertaking in the effort to predict the soil loss rates. The percentage of soil particles less
than 0.1 mm in diameter, the percentage of organic matter, the structural as well as the
textural class and permeability are the most
important factors constituting the soil erodi-
bility factor. Various methods of direct measurement for indirect prediction using models
have been introduced so far for the measurement of
K- factor
. Using the new topics in in-
formation technology, in particular the fuzzy system including the Mamdani Inference
Engine, Singleton Fuzzyfier and Centriod De
fuzzyfier can determine the soil erodibility
factor. The
K
values obtained with this method
were compared with those of
USLE
method. Over 394 samples based on the Wischm
eier nemograph as a database were in-
cluded in this research work by using the fuzzy system. Using some actual data in the
fuzzy system and comparing it with the
K
values attained with the
USLE
model by calcu-
lation of the regression coefficient, the
applicability of this system was revealed.
