Prediction of bed variation during a flood by distorted model experiments with a movable bed

Autor: Hong-yun Xun, Bing-qian Wei, Rong-ge Xiao, Cheng-ya Xiao
Rok vydání: 2010
Předmět:
Zdroj: 2010 3rd International Congress on Image and Signal Processing.
DOI: 10.1109/cisp.2010.5646779
Popis: Theoretical backing of the similarity laws obtained from the dual dimensionless parameters of the bed-form classification diagram is given by solving the equations of similarity conditions that are obtained from the 1-dimensional equation of motion, the continuity equation, the bed deformation equation, and the formula of bed-load transport. Furthermore, a distorted model experiment was conducted to predict the bed variation during a flood in the Chubetsu River (a tributary of the Ishikari fiver in Hokkaido, Japan). The usefulness of the similarity laws of a distorted model was ascertained, and it was found that the maximum scour depth occurs during a recession of the flood hydrograph.
Databáze: OpenAIRE