Enhancing urban resilience through machine learning-supported flood risk assessment: integrating flood susceptibility with building function vulnerability
Abstract Urban flooding threatens urban resilience and challenges SDGs 11 and 13. This study assesses urban building flood risk in Guangzhou by integrating flood susceptibility with building function vulnerability. Using a Random Forest (RF) model, it predicts flood susceptibility based on flood rec...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Urban Sustainability |
| Online Access: | https://doi.org/10.1038/s42949-025-00208-w |
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