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    ConvLSTM-Based Surrogate Modeling for Flood Inflow Prediction at Namgang Dam

    Source: Journal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 001::page 04025056-1
    Author:
    Sung, Jiyoung
    ,
    Jang, Sunghyuk
    ,
    Kim, Taehyeong
    ,
    Kang, Boosik
    DOI: 10.1061/JHYEFF.HEENG-6608
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate flood forecasting is crucial for effective reservoir operations and flood protection. This study examines the effectiveness of long short-term memory (LSTM) surrogate models in forecasting flood inflows at the Namgang multipurpose dam in ...Practical ApplicationsThis study demonstrates the application of advanced DL models, particularly ConvLSTM, to improve flood inflow prediction at the Namgang multipurpose dam in South Korea. The methodology integrates the strengths of traditional ...
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      ConvLSTM-Based Surrogate Modeling for Flood Inflow Prediction at Namgang Dam

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311711
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    • Journal of Hydrologic Engineering

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    contributor authorSung, Jiyoung
    contributor authorJang, Sunghyuk
    contributor authorKim, Taehyeong
    contributor authorKang, Boosik
    date accessioned2026-08-20T11:06:52Z
    date available2026-08-20T11:06:52Z
    date copyright2025/12/13
    date issued2026
    identifier otherJHYEFF.HEENG-6608.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311711
    description abstractAbstractAccurate flood forecasting is crucial for effective reservoir operations and flood protection. This study examines the effectiveness of long short-term memory (LSTM) surrogate models in forecasting flood inflows at the Namgang multipurpose dam in ...Practical ApplicationsThis study demonstrates the application of advanced DL models, particularly ConvLSTM, to improve flood inflow prediction at the Namgang multipurpose dam in South Korea. The methodology integrates the strengths of traditional ...
    publisherAmerican Society of Civil Engineers
    titleConvLSTM-Based Surrogate Modeling for Flood Inflow Prediction at Namgang Dam
    typeJournal Article
    journal volume31
    journal issue1
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6608
    journal fristpage04025056-1
    journal lastpage04025056-15
    page15
    treeJournal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 001
    contenttypeFulltext
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