• DocumentCode
    2712521
  • Title

    Key technology of water environmental data sharing platform — With the sample of Liao River Basin in China

  • Author

    Luo, Laiping ; Zhang, Jing ; Zhu, Lifang ; Zhong, Hua

  • Author_Institution
    Key Lab. of 3D Inf. Acquisition & Applic. of Minist. of Educ., Capital Normal Univ., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Water environmental problems of river basins in china are becoming more and more serious. Whereas, the environmental watchdogs at different levels provide comparatively independent water environmental data and use various kinds of data patterns, which makes it difficult to resolve the problems in a comprehensive way and make a unanimous decision as to how to deal with the worsening water environment. To meet the requirements of Water Project, one of National Major Technological Projects, priority should be given to setting up integrated water environmental data sharing platform so as to solve the water environmental problems. This paper fully makes a research on the key technology of water environmental data in the following aspects: sharing network, sharing security, sharing management and sharing service, etc. This study has brought good results by taking Liao River Basin as a sample.
  • Keywords
    data analysis; environmental science computing; geographic information systems; hydrological techniques; meta data; rivers; China; Liao River Basin; National Major Technological Project; data pattern analysis; geographic information system; integrated water environmental data sharing platform; sharing management system; sharing network system; sharing security system; sharing service system; Geographic Information Systems; Rivers; Servers; Virtual private networks; Water resources; Web services; data sharing; geographic information system; metadata; water environmental data; web services;
  • 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.2011.5981070
  • Filename
    5981070