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An integrated risk assessment system was developed based on case study and dynamics models.A cases-base is designed with data-mining methods to find the key and important factors that influence risk assessment and management most greatly.Risk assessment methods are integrated such as analytical hierarchy process (AHP),grey correlation analysis,fuzzy logic,neural network,etc.Simulation and analysis methods are also provided in the system to give prediction of possible influencing areas and ranges and the temple-spatial distribution.The vulnerability analysis is also an important component in the developed system.