A ConvLSTM-Based Model for Urban Flood Prediction Under Dynamic Rainfall Patterns and Exploration on Its Extrapolation Capability

Abstract Urban flooding induced by heavy rainfall is increasingly frequent, necessitating accurate and timely flood forecasting to mitigate risks. Although data-driven models have demonstrated significant potential for real-time flood prediction due to their computational efficiency, current impleme...

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Autori principali:	Jiaqi Xiao, Zhaoli Wang, Yaoxing Liao, Yi Yi, Lanlan Zheng, Bing Yang, Haijun Yu, Xuefang Li, Nan Hu, Chengguang Lai
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2025-12-01
Serie:	International Journal of Disaster Risk Science
Soggetti:	ConvLSTM Moving rainstorm Rapid prediction Urban flooding
Accesso online:	https://doi.org/10.1007/s13753-025-00685-8
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