• DocumentCode
    143630
  • Title

    Risk evaluation of Karst collapse using GIS and RS

  • Author

    Guoqing Zhou ; Sunan He ; Kunhua Chen ; Hongbo Yan

  • Author_Institution
    GuangXi Key Lab. for Spatial Inf. & Geomatics Eng., Guilin Univ. of Technol. Guilin, Guilin, China
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    3089
  • Lastpage
    3092
  • Abstract
    This article extracts and analyzes disaster information by using GIS and RS technology. It determines the weights by using the Analytic Hierarchy Process (AHP), and it constructs risk evaluation model to do risk evaluation of geological disasters. In this paper, Lai bin, Jili of Guangxi Province is selected as an example to evaluate the risk of Karst collapse because of its strong karst landform. This paper obtains karst collapse geological hazards risk zoning by using GIS and RS technology for the first time. Through analyzing the geological environment in the study area, it selects 10 evaluation factors to evaluate the risk of Karst collapse. At last, it gets the zoning evaluation map. The evaluation result is consistent with the actual situation in the study area, and it provides reference data to the economic development as well as for the prevention of karst collapse.
  • Keywords
    analytic hierarchy process; disasters; geographic information systems; geology; remote sensing; risk management; terrain mapping; GIS technology; Guangxi Province; Jili; Lai bin; RS technology; analytic hierarchy process; economic development; evaluation factors; geological disaster information; geological environment; karst collapse geological hazard risk zoning evaluation map; karst collapse prevention; risk evaluation model; strong karst landform; Data mining; Geographic information systems; Hazards; Remote sensing; Rocks; Terrain factors; Analytic Hierarchy Process (AHP); GIS; Hazard evaluation; Karst collapse; RS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947130
  • Filename
    6947130