Abstract: Storm surge is one of the most severe marine disasters in China. Early warning is a very important non-structural measure for disaster prevention and mitigation. Early warning information of storm surges issued in National Marine Environmental Forecasting Center only contains the water level variations caused by tropical cyclones. The severity of storm surge disaster is determined by the height of storm surge, the phase or the height of astronomical tide,coastal topography,embankment height and socio-economic distribution. Only the early warning of storm surge can not directly predict the impact of the disaster. A monitoring and early warning method for evaluating the impact of storm surge disaster events based on GIS is proposed, which is illustrated by taking typhoon "Nida" as an example. The total tide level prediction in the target area is obtained through the prediction of astronomical tide and storm surge; The storm surge floodplain inundation model is constructed based on the Flood Area to simulate the storm surge floodplain inundation; Combined with the inundation range, depth and socio-economic data, the number of affected people and GDP loss that may be caused by storm surge disaster events are evaluated, and the early warning classification is carried out based on storm surge disaster risk. This method can provide decision support for the emergency management of storm surge disaster events.