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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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IWA Publishing
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/e2e29b37b14b404abc7e21c1e4595153 |
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