A hybrid approach to improve flood forecasting by combining a hydrodynamic flow model and artificial neural networks

HIGHLIGHTS

• who: Li Li and Kyung Soo Jun from the Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA have published the research work: A Hybrid Approach to Improve Flood Forecasting by Combining a Hydrodynamic Flow Model and Artificial Neural Networks, in the Journal: Water 2022, 14, x FOR PEER REVIEW of 15/07/2004
• what: In this study a hybrid approach based on a combination of the optimization of a hydrodynamic model and an error correction modeling that exploit different aspects of the physical system is proposed to improve the forecasting accuracy . . .
  

   

  

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