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

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001::page 04025106-1
    Author:
    Pan, Xiyu
    ,
    Mohammadi, Neda
    ,
    Taylor, John E.
    DOI: 10.1061/JCCEE5.CPENG-6757
    Publisher: American Society of Civil Engineers
    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 ...
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      Short-Term Streamflow and Flood Forecasting Based on Graph Convolutional Recurrent Neural Network and Residual Error Learning

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4314428
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    contributor authorPan, Xiyu
    contributor authorMohammadi, Neda
    contributor authorTaylor, John E.
    date accessioned2026-08-20T21:25:26Z
    date available2026-08-20T21:25:26Z
    date copyright2025/09/17
    date issued2026
    identifier otherJCCEE5.CPENG-6757.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314428
    description abstractAbstractRiver 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 ...
    publisherAmerican Society of Civil Engineers
    titleShort-Term Streamflow and Flood Forecasting Based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
    typeJournal Article
    journal volume40
    journal issue1
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-6757
    journal fristpage04025106-1
    journal lastpage04025106-13
    page13
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 001
    contenttypeFulltext
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