Estimation method on slope failure probability at mountain area near source
of river
Takeshi SAKUDA,, Satoshi KATSUKI,, Yuji YASUDA, Kazuki MATSUMURA, Kei MATSUKI
and Jyun]ichi OZAKI
Abstract
This paper presents a prediction method on the slope failure probability at mountainous
area near the source of river by using both the neural network and the similarity
analysis. The causative factor, i.e., geological data and remote sensing data
are categorized by using similarity analysis to loosen the nonlinearity of prediction
function around the boundary between different categories. The slope failure potential
is computed as the probability of failure occurrence among the data which have
a certain similarity each other. Finally, the relationship between the failure
probability and those data in a category is fitted by the neural network system
which is associated with geological basic data, remote sensing data and precipitation
data. Applicability of the proposed method is discussed by using real data obtained
at Shigenobu river basin.