FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities
The study introduces FloodGenome, an interpretable machine learning model, to assess flood risk disposition in urban areas by analyzing hydrological, topographic, and built-environment features and their interactions. Utilizing data from the U.S. National Flood Insurance Program (2003–2023) across f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Environmental Research: Infrastructure and Sustainability |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2634-4505/adb800 |
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