IAHR Document Library

« Back to Library Homepage « Proceedings of the 17th IAHR APD Congress (Auckland, 2010)

River Stage Profile Forecasting Using Dynamic Wave Routing Technique and Artifical Neural Networks

Author(s): Ming-Hsi Hsu; Shu-Horng Lin; Jin-Cheng Fu

Linked Author(s):

Keywords: Stage Profiles forecasting; Flash Flood Routing; Artificial Neural Networks

Abstract: The artificial neural networks were used to predict the stages at gauges in a river. Then the prediction was taken as interior boundary conditions at gauges for correcting the river stage forecasting in a flash flood routing model, which calculates the longitudinal profiles in a river. The flash flood routing model is based on the dynamic wave equations with discretization processes of the four-point implicit finite difference approximation. Eight typhoon events were applied to calibrate and verify the rainfall-stage model and three of those were simulated to demonstrate the proposed model’s capability to forecast the river stage profiles. The results revealed that the flash flood river routing model incorporating predicted stages with artificial neural networks can provide accurate river stages for flood forecasting.


Year: 2010

Copyright © 2024 International Association for Hydro-Environment Engineering and Research. All rights reserved. | Terms and Conditions