Urban Rainfall Forecasting Method Based on Multi-model Prediction Information Fusion

Abstract

In order to improve the accuracy of rainfall forecasting in Wuhan, this paper proposes a multi-model information fusion forecasting method based on SVR model and RBF model. The rainfall data of Wuhan during 1980-2016 were used to verify the practicability of the multi-model information fusion method. The research results show that compared with the single forecast model, the multi-model information fusion forecasting method can improve the forecasting accuracy, and it can be used for rainfall forecasting to provide data support for urban management departments.