HGS RESEARCH HIGHLIGHT – Predicting Watershed Scale Surface Water Quality Targets With a Combined Fully-Integrated Groundwater-Surface Water Model and Machine Learning Approach
bmcneill last edited by 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.
Read more on the Aquanty blog.
The South Nation Watershed (SNW) HydroGeoSphere Model