• DocumentCode
    2348460
  • Title

    GIS-Based Forest Fire Risk Assessment and Mapping

  • Author

    Gai, Chengcheng ; Weng, Wenguo ; Yuan, Hongyong

  • Author_Institution
    Dept. of Eng. Phys., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    1240
  • Lastpage
    1244
  • Abstract
    Forest fire is a usual disaster in real life, causing huge live, property and ecology losses. A risk assessment model to identify, classify and map forest fire risk areas is presented in this paper. This model considers three parts, i.e. hazards identification, vulnerability analysis, and emergency response capacity analysis. The first part concentrates on several influence factors in forest fires, including the land use, topography and meteorology where the forest situate. The second part is made up of population density and value of forest resources. The forest fire response capacity including forest fire-brigade, watch-tower and helicopter water source is the third part. Through GIS spatial analytical procedure, the forest fire risk ranging from high to low is derived, according to its sensitivity to fire or fire-inducing capability. Spatial analyst is used to combine some single influence factors in risk maps to display the total fire risk map. The weight to each factor is determined by Grey Relativity Analysis (GRA). This model is illustrated with a case study of forest fire risk of area in China. It is suggested that risk mapping is helpful for the forest fire management to minimize forest fire hazard.
  • Keywords
    disasters; ecology; fires; forestry; geographic information systems; grey systems; hazards; risk management; GIS spatial analytical procedure; GIS-based forest fire risk assessment; GRA; disaster; ecology losses; emergency response capacity analysis; fire risk map; fire-inducing capability; forest fire hazard; forest fire management; forest fire response capacity; forest fire risk areas; forest fire-brigade; forest resources; grey relativity analysis; hazards identification; helicopter water source; land use; meteorology; population density; risk assessment model; risk mapping; spatial analyst; topography; vulnerability analysis; watch-tower source; Emergency services; Fires; Geographic Information Systems; Helicopters; Remote sensing; Risk management; GIS; forest fire; natural hazard; risk assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.140
  • Filename
    5957877