PREDICTION OF THE OCCURRENCE OF DEBRIS FLOW AND A RUNOFF ANALYSIS BY THE USE OF NEURAL NETWORKS

スポンサーリンク

概要

• 論文の詳細を見る

• Debris flows are feared for their potential to cause severe disasters, therefore studies on the occurrence and runoff of debris flows are needed. Several practical methods for forecasting a debris flow have been proposed to forecast the debris flow, however, the accuracy of these methods is not enough for practical use. Neural networks are introduced into the prediction of the occurrence of the debris flow and a runoff analysis. The method was verified by applying it to the Mizunashi River in the Unzen volcanic area. The results of this application led to the conclusion that the neural network model can be used to predict of a debris flow. The neural network model also is useful for identifying the critical condition for such a flow. The neural network model, which calculates the hydrograph of debris flow from the time series of rainfall, was verified by the observed data.

• 日本自然災害学会の論文

著者

• Moriyama Toshiyuki

  Department Of Civil Engineering Faculty Of Engineering Kyushu University

• HIRANO Muneo

  Department of Civil Engineering, Faculty of Engineering, Kyushu University

• KAWAHARA Keiichiro

  Department of Civil Engineering, Faculty of Engineering, Kyushu University

• Hirano Muneo

  Department Of Civil Engineering Faculty Of Engineering Kyushu University

• Kawahara Keiichiro

  Department Of Civil Engineering Faculty Of Engineering Kyushu University

関連論文

• PREDICTION OF OCCURRENCE AND AMOUNT OF DEBRIS FLOW BY USE OF NEURAL NETWORKS
• PREDICTION OF THE OCCURRENCE OF DEBRIS FLOW AND A RUNOFF ANALYSIS BY THE USE OF NEURAL NETWORKS
• THE PROPAGATION OF FLOOD SHOCK MODEL ON THE STEEP MOUNTAINOUS AREA COMBINED WITH GEOMETRICAL INFORMATION SYSTEM
• Phase Interaction in Solid-Liquid Flows

スポンサーリンク