Highlights • The method integrates laboratory analyses, numerical modelling and machine learning. • ANN configuration for predicting E. coli concentration in estuaries is determined. • ANNs are viable emulators of process-based models driven by highly variable forcing. • The longer forecasting, the greater the reduction in computational time using ANN. • Real-time management of bathing water quality is enabled by using ANNs.
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