The application relates to the technical field of
water level prediction, and particularly discloses a basin
water level prediction system and method for complex terrains, wherein the method is characterized in that: a
feature screening algorithm is used to screen a preliminary model
feature set, and effective features which have a significant influence on the transit of a flood peak and the risk of
backflow are reserved; the effective features are scientifically divided into a
training set and a
test set; the
training set is used to enable the model to fully learn the mapping relationship between the buffer state of a buffer confluence unit, the
flood discharge, the movement of the flood peak and the change of the confluence
water level under complex terrains; and the fusion of hydrological data and topographic image data covers key influence factors in the time and space dimensions on the
data level; the
water flow lagging effect is captured through an upstream water level lagging
feature set on the feature level; the
discharge position is accurately positioned in combination with the
discharge channel and the buffer state of the buffer confluence unit; and the transit path of the flood peak and the
peak water level are simulated, so that the accurate
simulation of the transit of the flood peak in the complex
terrain and the reliable prediction of the
backflow risk can be realized.