In view of the current problems of insufficient or excessive responses in flood disaster early warning and emergency management, a dynamic classification early warning evaluation for flood disasters has developed. Firstly, the early warning indicator system and quantification method for each warning indicator are developed based on the analysis of the disaster formation-prevention-resistance evolution mechanism of flood disasters in metro stations. The indicator system includes the risk of waterlogging and backflow, vulnerability, and disaster prevention and resistance capacities. Secondly, based on the relationship between hourly rainfall and meteorological warning levels with water accumulation depth, a quantitative method for assessing the risk of waterlogging and backflow in metro stations is proposed. Next, the evaluation methods of vulnerability and disaster prevention-resistance capacities are proposed based on the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Finally, a comprehensive early warning value calculation method and warning level classification criteria for metro station flood disasters are established, and case verification is carried out relying on two actual metro stations. The research results show that this method can effectively achieve dynamic classification early warning on the basis of comprehensively considering the characteristics of subway stations and the flood disasters. The height of entrance and exit steps and the coverage rate of water level monitoring are the key factors affecting the early warning level. In practical applications, further attention should be paid to the real-time monitoring of data such as water accumulation depth and rainfall. The research outcomes can provide a decision-making support for advanced forecasting, early warning, and precise hierarchical response to flood disasters in metro stations.

subway station  /  flood disaster  /  proactive warning  /  hierarchical response