A novel method for flood forecasting based on the nonlinear computational units cascaded model
Journal
Paddy and Water Environment
Journal Volume
13
Journal Issue
1
Pages
115-123
Date Issued
2014
Author(s)
Wang, C.-M.
Abstract
To facilitate flood forecasting (FF), a novel method based on the nonlinear computational units cascaded (NCUC) model is proposed in this paper. The proposed method is named the NCUC-FF method. The NCUC-FF method overcomes the shortcomings of two types of methods, respectively, based on the artificial neural networks and the conventional rainfall–runoff models. The NCUC-FF method uses only the rainfall records as input to produce accurate forecasts of runoff, and it has an automated calibration method. These are the two distinctive features of the NCUC-FF method. Furthermore, the NCUC-FF method is flexible to meet the modelers’ requirements. Modelers can freely choose the pattern of the NCUC model within the NCUC-FF method. Actual applications of the NCUC-FF method for FF are also presented in this paper. The results show that the performance of the NCUC-FF method is outstanding. It is concluded that the NCUC-FF method is useful for FF.
SDGs
Type
journal article