Prediction of runoff in the upper Yangtze River based on CEEMDAN-NAR model

Scientific and accurate prediction of river runoff is important for river flood control and sustainable use of water resources. This study evaluates the ability of a Nonlinear Auto Regressive model (NAR) in predicting runoff volume. Using the Cuntan Hydrological Station in the upper reaches of the Y...

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Bibliographic Details
Main Authors: Xianqi Zhang, Zhiwen Zheng, Kai Wang
Format: article
Language:EN
Published: IWA Publishing 2021
Subjects:
nar
Online Access:https://doaj.org/article/e2e29b37b14b404abc7e21c1e4595153
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