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Application of machine learning methods for nutrient prediction in urban catchments
Application of machine learning methods for nutrient prediction in urban catchments
The impacts of urbanisation on long and short-term water quality changes are of central concern in many estuaries and coastal waters. However, nutrient data are often sparse in time and space and have non-linear responses to environmental factors, making it difficult to systematically analyse spatial and temporal trends and therefore quantify their controls. This research…