• DocumentCode
    2168144
  • Title

    Mapping vulnerability to debris flows based on SOM method

  • Author

    Ding, Mingtao ; Tellez, Ricardo Delgado ; Hu, Kaiheng

  • Author_Institution
    Sch. of Environ. & Resources, Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    393
  • Lastpage
    398
  • Abstract
    Vulnerability measure is essential for hazards and risk research. It refers to the susceptibility of people, communities or regions to natural or technological hazards. This paper defines vulnerability as a combination of economic and social damage potential. In order to measure the vulnerability, indicators cover both economic and social scopes. The Shengou basin in Dongchuan city of Yunnan province is taken as a case to study the risk vulnerability of debris flow using 6 vulnerable indicators which are housing structure, building date, housing area, levels, family population and family income. Combining the indicators based on a Self Organized Map, (SOM) the proposed method creates an integrated debris flow vulnerability map to depict the vulnerability levels of the town in the Shengou basin. The obtained map agrees with the conditions of Dongchuan city and provides a scientific basis to activities related to disaster prevention and reduction in Dongchuan city.
  • Keywords
    risk management; self-organising feature maps; social sciences; SOM method; building date; debris flow vulnerability map; economic damage potential; family income; family population; housing area; housing structure; risk vulnerability mapping; self organized map; social damage potential; vulnerability measure; Buildings; Cities and towns; Economic indicators; Environmental economics; Hazards; Information analysis; Network topology; Neural networks; Neurons; Statistical analysis; Debris flow; Dongchuan city; Self Organized Maps; Shengou basin; Vulnerability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451928
  • Filename
    5451928