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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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Detalles Bibliográficos
Principais autores: Chenyue Liu, Ali Mostafavi
Formato: Artigo
Idioma:Inglês
Publicado: IOP Publishing 2025-01-01
Series:Environmental Research: Infrastructure and Sustainability
Assuntos:
Acceso en liña:https://doi.org/10.1088/2634-4505/adb800
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