HGS RESEARCH HIGHLIGHT – An adaptive zone-based refinement method for characterizing a highly complex aquifer system model
This new paper by Aquanty senior scientist Hyoun-Tae Hwang introduces an innovative new method to iteratively refine model meshes based on model sensitivity and uncertainty, as calculated by PEST. The paper presents an initial proof-of-concept for this new method, based on the K-COSEM test site located in Eumseong-gun, South Korea.
Research for Industries (RFI) Lecture Series: Steven K. Frey
Aquanty, which is a research spin off from the University of Waterloo, is at the forefront of developing state-of-the-art fully-integrated hydrologic models to better understand and predict water resource behavior and availability under both near term weather, and long term climate change scenarios. Aquanty’s flagship software platform, HydroGeoSphere (HGS), is a state-of-the-art fully-integrated GW-SW simulator that can couple with both weather forecasts and future climate scenarios in order to derive predictive insight on water resources. As part of the continental scale Canada 1 Water (C1W) project, HGS models are being built for all of Canada.
