• DocumentCode
    3539468
  • Title

    Disaster monitoring and early-warning system for snow avalanche along Tianshan Highway

  • Author

    Liu, Xudong ; Liu, Yalan ; Li, Li ; Ren, Yuhuan

  • Author_Institution
    Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    In this paper, a pilot study on the establishment of snow avalanche disaster monitoring and early-warning system based on the case study of area along the Tianshan Highway is presented. Prototype system design method is introduced into the whole process of early-warning system design and development based on the analysis of snow avalanche occurrence mechanism. Snow avalanche disaster databases and snow avalanche danger analysis model library are constructed, and the early-warning system which integrates the interfaces of database Access and model library access is developed by ArcGIS Engine 9.2 and can carry out the full workflow of early-warning information publication service. The Analytic Hierarchy Process (AHP) method is introduced in building snow avalanche danger analysis model which is incorporated into early-warning system.
  • Keywords
    database management systems; disasters; geographic information systems; geophysics computing; information services; snow; ArcGIS Engine 9.2; China; Tianshan highway; analytic hierarchy process; disaster early warning system; disaster monitoring; early warning information publication service; snow avalanche danger analysis model library; snow avalanche disaster databases; snow avalanche occurrence mechanism; Buildings; Databases; Engines; Information analysis; Libraries; Monitoring; Prototypes; Road transportation; Snow; System analysis and design; ArcGIS Engined; GIS; Snow avalanche disaster; early-warning; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418166
  • Filename
    5418166