Grey relational analysis and multiple linear regression real-time flood forecasting model——Taking Dongbaichengzi Station in Raoyang River Basin as an example

According to the recorded flood data of Dongbaichengzi Hydrological Station in Raoyang River Basin, rainfall station, rainfall and flood flows were analyzed. This study calculates the influence degree of rainfall stations on basin flow fluctuation by using grey correlation model, selects rainfall stations with high correlation as the leading factor, establishes multiple linear regression model for leading factors and flow through SPSS software, and effectively predicts the flood peak flow. By comparing the recorded and predicted values, the practicability of the regression equation is verified, which can provide certain reference for the flood forecasting in Fuxin City.