Short-Term Streamflow and Flood Forecasting Based on Graph Convolutional Recurrent Neural Network and Residual Error Learning

dc.contributor.author	Pan, Xiyu
dc.contributor.author	Mohammadi, Neda
dc.contributor.author	Taylor, John E.
dc.date.accessioned	2026-08-20T21:25:26Z
dc.date.available	2026-08-20T21:25:26Z
dc.date.copyright	2025/09/17
dc.date.issued	2026
dc.identifier.other	JCCEE5.CPENG-6757.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314428
dc.description.abstract	AbstractRiver flooding is a major threat to urban systems especially in the background of increasing climate variability. Accurate short-term streamflow and flood forecasting are critical for mitigating the impacts. Deep learning–based streamflow ...
dc.publisher	American Society of Civil Engineers
dc.title	Short-Term Streamflow and Flood Forecasting Based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
dc.type	Journal Article
dc.journal.volume	40
dc.journal.issue	1
dc.journal.title	Journal of Computing in Civil Engineering
dc.identifier.doi	10.1061/JCCEE5.CPENG-6757
dc.journal.fristpage	04025106-1
dc.journal.lastpage	04025106-13
dc.page	13
dc.tree	Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
dc.contenttype	Fulltext