Design and Application of a Physics-Informed Machine Learning Model for Salinity Prediction in the Nakdong River Estuary

This paper proposes a hybrid framework to predict salinity in the Nakdong River Estuary by combining physics-based modeling with machine learning. Motivated by the increasing complexity in salinity intrusion owing to frequent barrage operations and nonlinear hydrological changes, we developed a phys...

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Váldodahkkit:	Su Hong Min, Jihoon Kang, Jong-Sung Yoon
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	The Korean Society of Ocean Engineers 2025-10-01
Ráidu:	한국해양공학회지
Fáttát:	salinity prediction nakdong river estuary physics-informed machine learning lstm
Liŋkkat:	https://doi.org/10.26748/KSOE.2025.037
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