• DocumentCode
    3414883
  • Title

    Design of early warning flood detection systems for developing countries

  • Author

    Basha, Elizabeth ; Rus, Daniela

  • Author_Institution
    Comput. Sci. & Artificial Intelligenc Lab., Massachusetts Inst. of Technol., Cambridge, MA
  • fYear
    2007
  • fDate
    15-16 Dec. 2007
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    In developing countries, flooding due to natural disasters such as hurricanes and earthquakes results in massive loss of life and property. Warning communities of the incoming flood provides an effective solution to this by giving people sufficient time to evacuate and protect their property. However, the range of early warning system solutions introduces a tangle of conflicting requirements including cost and reliability, and creates several interesting problems from factors as diverse as technological, social, and political. The complexity of these systems and need for autonomy within the context of a developing country while remaining maintainable and accessible by non-technical personnel provides a challenge not often solved within developed countries, much less the developing. After describing this problem, the paper discusses a proposed solution for the problem, initial experiments in implementing the solution, and lessons learned through that work.
  • Keywords
    alarm systems; disasters; developing countries; early warning flood detection systems; natural disasters; Alarm systems; Computational and artificial intelligence; Computer science; Costs; Floods; Hurricanes; Intelligent sensors; Rivers; Sensor systems; Storms; early warning system; flood; honduras; sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies and Development, 2007. ICTD 2007. International Conference on
  • Conference_Location
    Bangalore
  • Print_ISBN
    978-1-4244-1990-6
  • Electronic_ISBN
    978-1-4244-1991-3
  • Type

    conf

  • DOI
    10.1109/ICTD.2007.4937387
  • Filename
    4937387