Rapid flood inundation mapping by integrating deep learning-based image super-resolution with coarse-grid hydrodynamic modeling
Efficient and accurate flood inundation mapping is essential for flood risk assessment, emergency response, and community safety. The deep learning-enabled rapid flood simulation demonstrates superior computational efficiency compared to traditional hydrodynamic models. However, most deep learning-b...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2025.2481115 |
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