Xinyue Di

Interpretable application of machine learning techniques in the assessment of coastal water quality of Poyang Lake, China

It is demonstrated that interpretable MLMs can effectively reveal the environmental drivers of lake water quality and offer a robust framework for ecosystem monitoring and forecasting in freshwater environments.