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Article

Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR

Department of Engineering and Science, University of Agder, Jon Lilletuns vei 9, 4879 Grimstad, Norway
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Academic Editor: Chris Bradley
Water 2021, 13(20), 2858; https://doi.org/10.3390/w13202858
Received: 10 August 2021 / Revised: 8 October 2021 / Accepted: 10 October 2021 / Published: 13 October 2021
(This article belongs to the Section Hydraulics and Hydrodynamics)
Two-dimensional (2D) hydrodynamic models are one of the most widely used tools for flood modeling practices and risk estimation. The 2D models provide accurate results; however, they are computationally costly and therefore unsuitable for many real time applications and uncertainty analysis that requires a large number of model realizations. Therefore, the present study aims to (i) develop emulators based on SVR and ANN as an alternative for predicting the 100-year flood water level, (ii) improve the performance of the emulators through dimensionality reduction techniques, and (iii) assess the required training sample size to develop an accurate emulator. Our results indicate that SVR based emulator is a fast and reliable alternative that can predict the water level accurately. Moreover, the performance of the models can improve by identifying the most influencing input variables and eliminating redundant inputs from the training process. The findings in this study suggest that the training data size equal to 70% (or more) of data results in reliable and accurate predictions. View Full-Text
Keywords: emulators; artificial neural network; support vector regression; training set size; error structure emulators; artificial neural network; support vector regression; training set size; error structure
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MDPI and ACS Style

Mirza Alipour, S.; Leal, J. Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR. Water 2021, 13, 2858. https://doi.org/10.3390/w13202858

AMA Style

Mirza Alipour S, Leal J. Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR. Water. 2021; 13(20):2858. https://doi.org/10.3390/w13202858

Chicago/Turabian Style

Mirza Alipour, Saba, and Joao Leal. 2021. "Emulation of 2D Hydrodynamic Flood Simulations at Catchment Scale Using ANN and SVR" Water 13, no. 20: 2858. https://doi.org/10.3390/w13202858

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