Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia
Increased frequency and magnitude of flooding pose a significant natural hazard to urban areas worldwide. Mapping flood hazard areas are crucial for mitigating potential damage to human life and property. However, conventional hydrodynamic approaches are hindered by their extensive data requirements...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
IWA Publishing
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/152514 |
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