A Physically Driven Interpretable Machine Learning Framework for Early Forecasting of Summer Hypoxia in the Semi-Enclosed Bohai Sea Using Remote Sensing Data

Hypoxia has become increasingly frequent in the semi-enclosed Bohai Sea since the early 2000s, posing significant risks to marine ecosystems. To address the limitations of existing dissolved oxygen models—particularly their poor predictive ability and lack of interpretability—we developed a two-mont...

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Principais autores:	Yong Jin, Jie Guo, Shanwei Liu, Tao Li, Hansen Yue, Diansheng Ji, Chawei Hou, Haitian Tang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-04-01
coleção:	Remote Sensing
Assuntos:	hypoxia prediction remote sensing data Bohai Sea machine learning SHAP
Acesso em linha:	https://www.mdpi.com/2072-4292/18/7/1097
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