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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Hlavní autoři:	Xiaoling Qin, Shifu Wang, Meng Meng, Haiyan Long, Huilan Zhang, Haochen Shi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-05-01
Edice:	npj Urban Sustainability
On-line přístup:	https://doi.org/10.1038/s42949-025-00208-w
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