• DocumentCode
    2709907
  • Title

    Estimating seismic losses of schools using SELENA: The case of Wenchuan earthquake

  • Author

    Yang, Yan ; Zhan, F. Benjamin ; Li, Lin

  • Author_Institution
    Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Estimation of the seismic risk of schools in developing countries is an important but challenging task. In this paper, we report an attempt to estimate the damage and losses of primary schools during the Mw7.9 Wenchuan earthquake that ruptured on 12 May 2008 using SELENA (SEismic Loss EstimatioN from a logic tree Approach). In this study, the seismic hazard was assessed with the probabilistic analysis procedures available in SELENA. The capacity spectrum method (CSM) was applied to determine the vulnerability function, which is a basic input for estimating building damages and losses. The HAZUS methodology was used for estimating human losses. This paper reports preliminary results about the seismic risk of primary schools in some affected areas of the Wenchuan earthquake. In addition, it presents some findings about the usefulness of SELENA for estimating damages and losses of schools using data from a developing country like China.
  • Keywords
    earthquake engineering; educational institutions; probability; risk analysis; AD 2008 05 12; China; HAZUS methodology; SELENA; Wenchuan Earthquake; building damage estimation; capacity spectrum method; primary school damage estimation; primary school loss estimation; probabilistic analysis procedure; seismic hazard assessment; seismic risk estimation; Buildings; Earthquakes; Educational institutions; Estimation; Hazards; Humans; Probabilistic logic; SELENA; Wenchuan Earthquake; capacity spectrum method (CSM); primary schools; seismic hazard; seismic loss estimation;
  • 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.2011.5980908
  • Filename
    5980908