• DocumentCode
    3272795
  • Title

    Optimization of scenario construction for loss estimation in lifeline networks

  • Author

    Brown, Nathanael J K ; Gearhart, Jared L. ; Jones, Dean A. ; Nozick, Linda K. ; Romero, Natalia ; Xu, Ningxiong

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    1734
  • Lastpage
    1745
  • Abstract
    Natural disasters have become a pressing national and international problem. Population growth, aging infrastructure, and climate change suggest that mounting losses will continue into the foreseeable future, hence mitigation and response planning is of increasing importance. The conduct of studies to support this type of regional planning often requires an estimation of the impacts of a single earthquake scenario on a region. This paper describes a method to identify a set of consequence scenarios that can be used in regional loss estimation for lifeline systems when computational demands are of concern, and the spatial coherence of individual consequence scenarios is important. This method is compared with Monte Carlo simulation.
  • Keywords
    Monte Carlo methods; disasters; earthquakes; emergency services; optimisation; town and country planning; Monte Carlo simulation; aging infrastructure; climate change; international problem; lifeline networks; natural disasters; population growth; regional loss estimation; response planning; scenario construction optimization; Bridges; Earthquakes; Estimation; Mathematical model; Monte Carlo methods; Optimization; Road transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147889
  • Filename
    6147889