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...
Na minha lista:
| Principais autores: | , , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Korean Society of Ocean Engineers
2025-10-01
|
| coleção: | 한국해양공학회지 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.26748/KSOE.2025.037 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|