Station micro-topography confluence characteristic scenario-based submersion risk prediction method and system

Abstract

This invention provides a scenario-based inundation risk prediction method and system for station building micro-topography confluence characteristics, belonging to the technical field of power system security defense and disaster risk analysis. The invention first acquires pre-processed micro-topographic data of the station area, extracts water catchment impact parameters to construct a micro-catchment unit system, and forms a confluence framework pointing towards the station building using a minimum resistance path algorithm. Then, it calculates the effective flow rate of the confluence nodes based on rainfall data, and uses a lightweight water flow propagation model to calculate and obtain external water levels and water arrival times segment by segment. Subsequently, it calculates the inflow rate of each inflow path based on the specific inflow location of the station and the external prediction results. Next, it obtains internal prediction results such as inundation depth and inundation time within the station using an internal water level evolution model. Finally, it outputs scenario-based inundation prediction results, generates inundation risk levels and early warning suggestions, achieving scenario-based, minute-level accurate prediction of station building inundation risks, improving prediction efficiency and scenario adaptability.

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