Application of neural networks for hydrologic process understanding at a midwestern watershed

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  • who: Annushka Aliev and colleagues from the Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA have published the article: Application of Neural Networks for Hydrologic Process Understanding at a Midwestern Watershed, in the Journal: Hydrology 2023, 27 of 18/01/2023
  • what: This study investigated the impacts of 13 different controlling factors on flooding at SCW by using an artificial neural network (ANN)-based rainfall-runoff model. The ANN model developed in this study showed satisfactory discharge-prediction performance with a Kling-Gupta Efficiency (KGE) value of 0.57. A . . .

     

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