• DocumentCode
    496979
  • Title

    Identification of Flow-Routing Sequence from DEMs Based on Quicksort

  • Author

    Yang, Bang ; Ren, Liliang ; Chen, Furong ; Liu, Xiaofan

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    As most of the distributed hydrological models are based on the channel networks extracted from digital elevation models, for distributed modeling to be implemented, the channel networks must be ranked to determine a flow-routing sequence. In this paper, an algorithm identifying flow-routing sequence from DEMs by the Quicksort rank method is presented. Working recursively via a divide-and-conquer method, the Quicksort procedure will efficiently produce a chain matrix of ascending flow accumulation in which the flow-routing ordering of the channels is recorded. The flow-routing sequence information extracted by the new method can be flexibly applied in either a grid-based model or a catchment-based model. The application of a catchment-based Xinanjiang model in the Mishui study area confirms the convenience and applicability of the new method.
  • Keywords
    digital elevation models; divide and conquer methods; flow measurement; hydrological techniques; sorting; Mishui study area; Quicksort rank method; Xinanjiang model; digital elevation model; divide and conquer method; flow accumulation chain matrix; flow routing sequence identification; hydrological model; Data mining; Data processing; Digital elevation models; Distributed control; Electronic mail; Geographic Information Systems; Rivers; Routing; Sorting; Spatial resolution; DEM; codification; drainage networks; flow routing; hydrological model; quicksort;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.26
  • Filename
    5199918