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Diffusion for Diffusion: A versatile multiphysics fields refinement framework in pollutants transportation
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DOI：10.1016/j.watres.2025.124962.png)
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Abstract
En 中文
• A diffusion-model-based deep learning framework for pollutant transport is proposed. • Coupled multiphysics pollutant fields are reconstructed from sparse measurements. • The framework achieves high accuracy and efficiency compared with existing solvers. • Applications show strong potential for water quality monitoring and risk assessment. • Provides a generalizable tool bridging machine learning and environmental modeling.
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