Risk Assessment of Grassland Fire Disaster in Xilingol League Based on BP Neural Network
This study presents a methodology for risk analysis and assessment of grassland fire disaster based on BP neural network. The hazard of grassland fire, the exposure of the region, the vulnerability and emergency response and recovery capability for grassland fire disaster were developed as assessing indicators. Then, Grassland Fire Disaster Risk Index (GFDRI) as output layer was assessed and regionalized Xilingol League using GIS. This model is specifically intend to support local and national government agencies of grassland fire disaster management as they make resource allocation decisions and raises public awareness of grassland fire disaster risk.
Grassland fire disaster Risk management BP neural network Xilingol League
TONG Zhijun ZHANG Jiquan LIAO Xiaoyu Liu Xingpeng Jin Lun
College of Urban and Environmental Sciences, Natural Disaster Research Institute,Northeast Normal Un College Information Science and Engineering, Yanshan University, Qinhuangdao 066004. China
国际会议
The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会)
北京
英文
426-432
2009-10-19（万方平台首次上网日期，不代表论文的发表时间）