English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Calculation of the occurrence criteria and flow rate of debris flow on a slope may be possible if the values of the hydraulic conductivity, the depth of the deposited material, the length and the gradient of the slope are given. However, the obtained values on the slope are generally not accurate enough for practical use due to the error in the measurements. On an active volcano debris flow, these problems may be more severe. In this study, neural net works are introduced into prediction of occurrence and amount of the debris flow. Neural networks are expected to learn general rules of the debris flow without the hydraulic, hydro -logic and geologic factors, and to predict the occurrence and amount of the debris flow objectively from rainfall data. The proposed methods are checked by applying to the debris flow in Unzen volcanic area in Japan. The results of the application of the predicting model lead to the conclusion that the neural network models are useful tool for prediction of debris flow.

PREDICTION OF OCCURRENCE AND AMOUNT OF DEBRIS FLOW BY USE OF NEURAL NETWORKS