Abstract:

In order to reduce the various risks associated with storm and flood hazards, an ontology model of storm and flood hazard risk is proposed. Storm and flood disaster risk elements were identified from five aspects: environmental factors, equipment and facility factors, management factors, human factors, and information factors. The concepts of storm flood class and state space were given respectively, and data attributes and object attributes of each hazard element are defined. And visualization of the storm flood ontology model based on Protégé application. The results show that the storm and flood ontology model can express the risk elements and attributes clearly and accurately, and retrieve the links between the risk elements scientifically and quickly, so as to help the decision-makers respond effectively. Providing a data storage and retrieval platform for heavy rainfall and flood disaster risk assessment, it can realize user knowledge reuse and sharing, and provide a reference for emergency response and scientific decision-making by the government and emergency management authorities at the same time.

Key words: torrential rain flooding, ontology model, emergency decision-making, visualization, Protégé application