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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...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Chenyue Liu, Ali Mostafavi
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: IOP Publishing 2025-01-01
Цуврал:Environmental Research: Infrastructure and Sustainability
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1088/2634-4505/adb800
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