Flood forecasting using an improved NARX network based on wavelet analysis coupled with uncertainty analysis by Monte Carlo simulations: a case study of Taihu Basin, China

Flood forecasting using an improved NARX network based on wavelet analysis coupled with uncertainty analysis by Monte Carlo simulations: a case study of Taihu Basin, China

Reliable flood forecasting can provide a scientific basis for flood risk assessment and water resources management, and the Taihu water level forecasting with high precision is essential for flood control in the Taihu Basin. To increase the prediction accuracy, a coupling model (DWT-iNARX) is establ...

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Bibliographic Details
Main Authors: Feiqing Jiang, Zengchuan Dong, Zeng'an Wang, Yiqing Zhu, Moyang Liu, Yun Luo, Tianyan Zhang
Format: Article
Language:English
Published: IWA Publishing 2021-09-01
Series:Journal of Water and Climate Change
Subjects:
discrete wavelet transformation
improved narx network
monte carlo simulations
probabilistic forecast
taihu lake
water level prediction
Online Access:http://jwcc.iwaponline.com/content/12/6/2674

Internet

http://jwcc.iwaponline.com/content/12/6/2674

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