Real-time flood forecasting using physics-informed deep operator network for solving the shallow water equations

Accurate and efficient prediction of free-surface flows remains a major challenge in flood forecasting and hydraulic modelling. Here we develop a physics-informed deep operator network (PI-DeepONet) for the efficient solution of the Shallow Water Equations (SWEs), in which the governing equations ar...

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Detalhes bibliográficos

Principais autores:	Xin Qi, Wuxia Bi, Yunfei Gu, Dawei Zhang, Wenqing Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-12-01
coleção:	Engineering Applications of Computational Fluid Mechanics
Assuntos:	Physics-informed neural network operator learning shallow water equations free-surface flow
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/19942060.2026.2685992
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