ML-SWAN-v1: a hybrid machine learning framework for the concentration prediction and discovery of transport pathways of surface water nutrients

Earth and Planetary Sciences

• Surface Water 100%
• Machine Learning 100%
• Western Australia 33%
• Base Flow 33%
• Catchment Management 33%
• Nutrient Budget 33%

Agricultural and Biological Sciences

• Surface Water 100%
• Environmental Factor 50%
• Perennials 50%
• Linear Models 50%
• Base Flow 50%