• DocumentCode
    2314020
  • Title

    Evaluating hazard degree of geological disaster in the Laoshan district of the Qingdao city, using GIS and RS technology

  • Author

    Ma, Anqing ; Li, Fujian ; Jiao, Junchao ; Liu, Lejun

  • Author_Institution
    Ocean Univ. of China, Qingdao, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    3953
  • Lastpage
    3960
  • Abstract
    Based on Remote Sensing and spatial analysis of GIS, the paper assesses the geological hazards risk of Laoshan district of Qingdao city from six aspects: landform and physiognomy, geological condition, climate and vegetation, hydrological condition, human activities and status of occurred disasters. In the study process, AHP is used to determine the weight of those factors, and WCA is used to build the model of geological hazard evaluation. The result is consistent with the actual situation, and it shows credible with these methods to risk evaluation of geological hazards. It is concluded that the evaluation result is credible.
  • Keywords
    data analysis; decision making; disasters; geographic information systems; geology; hazards; remote sensing; risk analysis; statistical analysis; AHP; GIS technology; Laoshan district; Qingdao city; RS technology; climate; geological disaster; geological hazard risk evaluation method; hazard degree evaluation; hydrological condition; physiognomy; remote sensing; spatial data analysis; vegetation; Cities and towns; Geographic Information Systems; Geology; Hazards; Indexes; Risk management; Vegetation mapping; AHP; GIS and RS methods; WCA; geological hazards; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584784
  • Filename
    5584784