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    Chaos Analysis and Prediction of Monthly Runoff Using a Two-Stage Variational Mode Decomposition Framework 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 004:;page 04024017-1
    Author(s): Shanshan Du; Songbai Song; Tianli Guo
    Publisher: American Society of Civil Engineers
    Abstract: Variational modal decomposition (VMD) has proven to be an effective technique for improving the accuracy of runoff prediction and has been widely used in runoff analysis and prediction. However, the presence of noise and ...
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    Maximum Entropy–Mixed Copula Method for the Simulation of Monthly Streamflow 

    Source: Journal of Hydrologic Engineering:;2024:;Volume ( 029 ):;issue: 001:;page 04023048-1
    Author(s): Wenying Zeng; Haohao Wu; Songbai Song; Wenyi Sun
    Publisher: ASCE
    Abstract: A new single-site monthly streamflow simulation method that combines the maximum entropy and mixed copula methods is proposed. In this method, the marginal distribution of monthly streamflow is estimated using the maximum ...
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    Prediction of Urban Domestic Water Consumption Considering Uncertainty 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 003:;page 05020028-1
    Author(s): Jun Li; Songbai Song; Yan Kang; Hejia Wang; Xiaojun Wang
    Publisher: ASCE
    Abstract: Quantitative predictions of urban domestic water consumption are of great significance for the planning and management of water resources. Aimed at the uncertainty in the process of water consumption forecasting, the kernel ...
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