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...
Guardado en:
Autores principales: | Xianqi Zhang, Zhiwen Zheng, Kai Wang |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
IWA Publishing
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/e2e29b37b14b404abc7e21c1e4595153 |
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