Prediction of total organic carbon and <i>E. coli</i> in rivers within the Milwaukee River basin using machine learning methods
Nabila Nafsin, Jin Li
Abstract
Ensemble-hybrid ML models can explain and predict the variability in water quality parameters and living microorganism behavior in natural streams with satisfactory prediction accuracies based on specific physicochemical parameters.
Topics & Concepts
STREAMSDrainage basinStructural basinWater qualityEnvironmental scienceHydrology (agriculture)Total organic carbonEcologyComputer scienceGeologyBiologyGeographyCartographyGeomorphologyGeotechnical engineeringComputer networkHydrological Forecasting Using AIWater Quality Monitoring TechnologiesWater Quality Monitoring and Analysis