Show simple item record

contributor authorFang, Xin
contributor authorLi, Heng
contributor authorZhang, Sherong
contributor authorLiu, Kang
contributor authorWang, Xiaohua
contributor authorWang, Chao
date accessioned2026-08-20T21:24:15Z
date available2026-08-20T21:24:15Z
date copyright2025/09/27
date issued2026
identifier otherJCCEE5.CPENG-6533.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314396
description abstractAbstractExtreme climate events are becoming increasingly frequent, and flood disasters have been one of the most frequent and devastating forms of such events, threatening the lives and property of coastal residents. To reduce the potential costs to ...Practical ApplicationsThe hybrid model developed in this study has significant practical implications for flood risk management and emergency response. By integrating hydrodynamic analysis with advanced deep learning techniques, the model enables real-...
publisherAmerican Society of Civil Engineers
titleIntegrating Hydrodynamic Mechanisms and Deep Learning for Real-Time Flood Inundation Forecasting
typeJournal Article
journal volume40
journal issue1
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-6533
journal fristpage04025121-1
journal lastpage04025121-15
page15
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record