HGS RESEARCH HIGHLIGHT – Predicting Watershed Scale Surface Water Quality Targets With a Combined Fully-Integrated Groundwater-Surface Water Model and Machine Learning Approach

bmcneill

This research highlights Aquanty's interesting work at the nexus of physics based integrated hydrologic modelling and machine learning/artificial intelligence techniques. Here the authors have paired a HydroGeoSphere model of the South Nation Watershed (SNW) with a Random Forest (RF) algorithm trained to predict spatially varying concentrations of nitrate and E. Coli throughout the watershed.