Flood season climate trend prediction system based on TCN

The invention provides a flood season climate trend prediction system based on TCN, and the system comprises an upper computer which is connected with a detection device. The upper computer is used for executing the following steps of acquiring historical data of flood disasters happening to an area in a flood season; wherein the historical data comprises the water level, rainfall, vegetation coverage proportion, geological factors and upstream flood hazard indexes of the area when the flood occurs; establishing a TCN network model for predicting the severity of flood occurring in the flood season of the area and training the established TCN network model by adopting the historical data to obtain a trained TCN network model; and detecting the water level, the vegetation coverage ratio, thegeological factors and the upstream flood hazard index of the local area in the flood season, predicting the rainfall of the local area, and predicting the flood hazard index of the local area in combination with the trained