Rapid spatio-temporal flood modelling via hydraulics-based graph neural networks
<p>Numerical modelling is a reliable tool for flood simulations, but accurate solutions are computationally expensive. In recent years, researchers have explored data-driven methodologies based on neural networks to overcome this limitation. However, most models are only used for a specific ca...
Main Authors: | R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-11-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/27/4227/2023/hess-27-4227-2023.pdf |
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