• DocumentCode
    3068677
  • Title

    The development of Great Earthquake Risk Assessment System based on high resolution grid data

  • Author

    Xiang Ding ; Xiaoqing Wang ; Aixia Dou ; Xiaoxiang Yuan ; Long Wang

  • Author_Institution
    Inst. of Earthquake Sci., China Earthquake Adm., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3686
  • Lastpage
    3689
  • Abstract
    The Great Earthquake Risk Assessment System (GERAS for Windows) is developed specially for the great earthquake risk assessment applied in the North-South Seismic Zone (NSSZ) of China. The system is based on GIS and database with gridding data in NSSZ. It has main functions of database management, the tools for data gridding, life loss estimation based on the gridding population, the economic losses estimation based on the gridding building distribution, the synthetic risk assessment considering the possibility of risks caused by both the ground seismic motion and the fault rupture, the disaster mapping and geological information processing. The system can be applied to assess risk of the potential great earthquake and fast estimate the loss immediately after the great earthquake occurrence etc. The design idea and main functions of the system is introduced in the paper.
  • Keywords
    earthquakes; geophysical techniques; China North-South Seismic Zone; GERAS; Great Earthquake Risk Assessment System; database management functions; economic losses estimation; gridding population; ground seismic motion; high resolution grid data; life loss estimation; synthetic risk assessment; Biological system modeling; Buildings; Earthquakes; Economics; Estimation; Hazards; Risk management; Great earthquake; Risk estimate; System design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723630
  • Filename
    6723630