Evolution Knowledge Discovering and Information Modeling in Emergency Decision-making for Significant Natural Disasters

Abstract

With the features of unobvious auspice, outburst, potential derivative hazard, significant natural disasters have great harm to the nature, society and ecological environment. To construct a comprehensive management system for them, information processing and evolution knowledge discovering is the basic and key issue, and emergency reaction is the core issue for the natural disaster prevention. First of all, theoretic mechanism of significant natural disasters was studied, which explained clearly the generating and evolution laws, the structuring basis and boundary limit, and the spatial & temporal pattern of significant natural disasters in China. Secondly, regional monitoring & warning system was designed and realized, including monitoring sites for earthquake, forest fire, diseases, and ice-snow disasters, and the multi-source of data collected from monitoring system was integrated and fussed into comprehensive data house. Thirdly, discovering method for semi-structural or non-structural evolving knowledge of significant natural disasters was set up and practiced, and variety of mathematic models were built and then be used in situation simulation of the instances, taking earthquake disaster as an example. Fourthly, multi-aim and group decision making modeling in emergency reaction was researched and the balancing strategy was defined, taking ice-snow disaster as an example.