Evaluation of Sediment Transport Capacity Equations Using Basin Scale Process-Based Sediment Dynamic Modelling Approach
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  • 作者:M. A. Kabir (1)
    D. Dutta (2)
    S. Hironaka (3)
  • 关键词:Sediment dynamics ; Suspended sediment transport ; Process ; based model ; Basin scale distributed modelling ; Transport capacity ; Sediment transport capacity equations ; Kinematic wave approximation ; Abukuma river basin ; Japan
  • 刊名:Water Resources Management
  • 出版年:2015
  • 出版时间:March 2015
  • 年:2015
  • 卷:29
  • 期:4
  • 页码:1097-1116
  • 全文大小:2,593 KB
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  • 作者单位:M. A. Kabir (1)
    D. Dutta (2)
    S. Hironaka (3)

    1. The Bureau of Meteorology, Melbourne, VIC, Australia
    2. Land and Water Flagship, CSIRO, Canberra, ACT, Australia
    3. NEWJEC Inc., 1-12-13 Shin-Ohashi, Koutou-ku, Tokyo, 135-0007, Japan
  • 刊物类别:Earth and Environmental Science
  • 刊物主题:Earth sciences
    Hydrogeology
    Geotechnical Engineering
    Meteorology and Climatology
    Civil Engineering
    Environment
  • 出版者:Springer Netherlands
  • ISSN:1573-1650
文摘
Most process-based sediment dynamic models are based on the concept of sediment transport capacity (TC) of flow. Relationships between sediment TC and its characterized variables are found to vary widely, depending on the characteristics of a watershed and the underlying hydrological processes. This study has aimed to incorporate various widely used sediment transport capacity equations (TCEs) in a process-based sediment dynamic model, and to evaluate their relative performances in estimating suspended sediment dynamics at a river basin scale. The paper describes the modelling approaches and their application to a case study area (Abukuma River Basin, Japan), and then elaborates various parameters used in different TCEs with their useful impacts on modelling outcomes. The results of the case study have demonstrated that some of the TCEs are not suitable for simulating basin scale sediment dynamics. The TCEs that consist of more hydraulic parameters representing the flow and sediment transport processes have produced better outcomes.

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