Titlebook: Copulas and Its Application in Hydrology and Water Resources; Lu Chen,Shenglian Guo Book 2019 Springer Nature Singapore Pte Ltd. 2019 Copu

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Understanding Web Accessibilitye simulated and used to determine the effect of forecast uncertainty on real-time reservoir operation. Results show that using the forecasted inflow coupled with the pre-release module for reservoir operation in flood seasons will not increase flood risks.

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Copula-Based Uncertainty Evolution Model for Flood Forecasting,e simulated and used to determine the effect of forecast uncertainty on real-time reservoir operation. Results show that using the forecasted inflow coupled with the pre-release module for reservoir operation in flood seasons will not increase flood risks.

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Overview of Accessible TechnologiesResults indicate that the CE method could effectively identify inputs for the ANN with smallest . values for training and validation data, and the ANN models coupled with the CE method perform better than the traditional linear correlation analysis (LCA) method.

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Flood Forecasting Using Copula Entropy Method,Results indicate that the CE method could effectively identify inputs for the ANN with smallest . values for training and validation data, and the ANN models coupled with the CE method perform better than the traditional linear correlation analysis (LCA) method.

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2364-6934 termining the input for artificial neural networks for floodThis book presents an overview of copula theory and its application in hydrology, and provides valuable insights, useful methods and practical applications for multivariate hydrological analysis using copulas. In addition, it extends the tr

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Internet Authentication Service (IAS),and the dependence analysis of hydrological variables. Therefore, these three analytical methods are reviewed and discussed in this chapter. The copula and copula entropy methods are introduced in hydrology and water resources. Finally, the scopes and organizations of this book are presented.

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