A method and system for early warning of storm surge and flood based on long short-term memory network

Abstract

The invention provides a storm surge and flood early warning method based on long-term short-term memory network, comprising: obtaining historical data for normalization processing; inputting the data into long-term short-term memory network for iterative training, and obtaining the data used to predict future water level changes Flood prediction model; input the current storm event data into the flood prediction model to predict the change of water level; if the water level exceeds the preset warning line, start the flood control emergency plan, otherwise predict the location of the waterlogging point, and start the waterlogging emergency plan. The present invention also provides a storm surge early warning system. The advantages of the storm surge and flood early warning method and system based on the long-term short-term memory network provided by the present invention are: a model for predicting storm surge water level changes is constructed based on the long-term short-term memory network algorithm, and the model is constructed based on the SWMM model When the water level does not exceed the flood boundary, the derivative waterlogging disaster is predicted, which provides decision support for early warning and disaster relief.

Description

technical field [0001] The invention relates to the technical field of early warning of storm surge disasters, in particular to a method and system for early warning of storm surge and flood disasters based on long and short term memory networks. Background technique [0002] Typhoon storm surge disasters are one of the major marine disasters in China, covering the coastal areas of China, with high frequency and intensity of disasters, causing serious human and economic losses. Storm surge disaster risk is a measure of the possibility and uncertainty of storm surge disaster losses. Due to the diversity of storm surge disaster-causing factors and the particularity of disaster-affected bodies, storm surge disaster risk has a greater risk than other disaster risks. Uncertainty, especially when the storm surge meets the astronomical tide, it will be more destructive, often causing the water level of the affected sea area to rise sharply, resulting in the rise of the water level ...

AI Technical Summary

Problems solved by technology

Storm surge disaster risk is a measure of the possibility and uncertainty of storm surge disaster losses. Due to the diversity of storm surge disaster-causing factors and the particularity of disaster-affected bodies, storm surge disaster risk has a greater risk than other disaster risks. Uncertainty, especially when the storm surge meets the astronomical tide, it will be more destructive, often causing the water level of the affected sea area to rise sharply, resulting in the rise of the water level of the estuary, the strengthening of tidal current support, and poor drainage of the river , the difficulty of flood discharge and drainage in coastal cities has increased, and the impact of typhoon storms on disasters has been aggravated

[0003] There are storm surge disaster early warning methods in the existing technology. The main technology is to predict and analyze the path of the storm, storm intensity or disaster level, but it ignores the urban waterlogging problem caused by the storm surge, and cannot give targeted early warning information.

Images