• DocumentCode
    535058
  • Title

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

  • Author

    Wei, Bing-qian ; Xun, Hong-yun ; Xiao, Rong-ge ; Xiao, Cheng-ya

  • Author_Institution
    Coll. of Hydraulic & Hydropower, Xi´´an Univ. of Technol., Xi´´an, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    3438
  • Lastpage
    3442
  • Abstract
    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.
  • Keywords
    floods; rivers; sedimentation; 1D equation of motion; Chubetsu river; Hokkaido; Japan; bed deformation equation; bed form classification diagram; bed load transport formula; bed variation prediction; continuity equation; distorted model experiments; dual dimensionless parameter; flood hydrograph recession; maximum scour depth; movable bed; similarity condition equations; similarity laws; Equations; Floods; Materials; Mathematical model; Prototypes; Rivers; Sediments; Similarity law; alternate bars; bar height; distorted model; lightweight bed material; river bends;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646779
  • Filename
    5646779