• DocumentCode
    2710503
  • Title

    The data management and visualization of water and sediment for two-dimensional, a case study of the lower reaches of Yellow River

  • Author

    Yin, Xueyong ; Li, Na ; Lai, Ruixun

  • Author_Institution
    Coll. of City & Environ., Xuchang Univ., Xuchang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the lower Yellow River mathematical model features, the paper presents the water and sediment data model based on the object-oriented data modeling method. By anglicizing various data types, defining the properties and their relationship, this model can adapt to the lower Yellow River mathematical model features. Taking the river part from Huayuankou to Lijin as the experimental zone, the article has founded water and sediment mathematical model of the lower Yellow River, and realized the management analysis and visualization of the model data. The test result shows that the model can make the relationship of 2D water and sediment model data clear, and realize the data sharing management. Therefore, it can effectively reduce data storage redundancy. It´s convenient to convert and input/output the data, and it can improve the visualization of scientific calculation.
  • Keywords
    data visualisation; geophysics computing; hydrological techniques; object-oriented databases; object-oriented methods; rivers; sediments; Huayuankou; Lijin; Yellow River lower reaches; data management; data sharing management; data storage redundancy; data visualization; lower Yellow River mathematical model features; management analysis; object-oriented data modeling method; sediment visualization; two-dimensional case study; water visualization; Computational modeling; Data models; Data visualization; Mathematical model; Object oriented modeling; Rivers; Sediments; GIS; data management; visualization; water and sediment data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980942
  • Filename
    5980942