• DocumentCode
    2295445
  • Title

    Emerging Trends of Computational Grid Based Near Real Time/Real Time Flood Assessment and Forecasting Models

  • Author

    Manavalan ; Chattopadhyay, Subrata ; Mangala ; Rao, Yalamanchili S.

  • Author_Institution
    Centre for Dev. of Adv. Comput., Bangalore, India
  • fYear
    2010
  • fDate
    19-21 Nov. 2010
  • Firstpage
    471
  • Lastpage
    475
  • Abstract
    From recent past, the computational Grid based flood assessment and forecasting models is getting emerged as an interdisciplinary integrated `near real time/real time model´. Many such, Grid based flood assessment and forecasting model supports in logically integrating various components of flood related scientific simulations such as Metrological, Hydrological, Hydraulic, RADAR, LIDAR Remote Sensing, GIS, Satellite Communication and other technologies and derives the end result which can be straight away used by the disaster mitigation team member/end user. This paper mainly brings out the emerging technological trends observed in the fields of computational Grid based flood assessment and forecasting models by surveying the flood forecasting model of `Cross Grid´ as well as the operational flood model of ESA Grid. Details reflecting the technology trends and simulation methods adopted by the `GARUDA Grid´ flood assessment experimental model have been given.
  • Keywords
    emergency services; floods; grid computing; ESA grid; LIDAR remote sensing component; computational grid; cross grid; flood assessment model; flood forecasting model; geographic information systems component; hydraulic component; hydrological component; metrological component; radar component; satellite communication component; Flood; Grid; Simulations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
  • Conference_Location
    Goa
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4244-8481-2
  • Electronic_ISBN
    2157-0477
  • Type

    conf

  • DOI
    10.1109/ICETET.2010.54
  • Filename
    5698371