Rapid Simulation Method for Urban Pluvial Flood Based on Classification and Regression Collaborative Mechanism

[Objective] Physically based hydrological-hydrodynamic models for urban pluvial flood simulation are computationally expensive. In contrast，deep learning-based approaches may produce spurious shallow water depths in non-inundated areas，leading to distorted inundation extents. To address this issue，t...

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Hlavní autor:	LIU Guo-qing, ZHANG Long-bao, FAN Zi-wu, YANG Guang, ZHENG Shao-xu, LIU Yong-qiang, LIU Zi-yang, CHEN Mu
Médium:	Artigo
Jazyk:	Chinês
Vydáno:	Editorial Office of Journal of Changjiang River Scientific Research Institute 2026-06-01
Edice:	长江科学院院报
Témata:	urban waterlogging|deep learning|flood inundation|rapid simulation|wet-dry classification|inundation scope identification
On-line přístup:	http://ckyyb.crsri.cn/fileup/1001-5485/PDF/1001-5485（2026）06-0031-10.pdf
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