HGS RESEARCH HIGHLIGHT – Evaluation of Hydraulic Conductivity Estimates from Various Approaches with Groundwater Flow Models
Over several decades a wide variety of techniques have been used to estimate the hydraulic flow properties of the subsurface. Here the authors have produced heterogeneous hydraulic conductivity (K) distributions at a heavily instrumented research site using 6 distinct techniques (slight variations in some tests resulted in 9 distinct K distributions):.
HGS RESEARCH HIGHLIGHT – Impacts of Climate Change and Different Crop Rotation Scenarios on Groundwater Nitrate Concentrations in a Sandy Aquifer
This study by researchers at the University of Guelph investigated the impacts of various crop rotation scenarios and climate change on groundwater nitrate concentrations in a 155 sq-km agricultural sub-watershed in Norfolk County, Ontario.
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.
HGS Research Highlight - Schilling et al., 2014
The overarching goal of this study is to provide a quantitative basis for managing water resources in the semi-arid Tarim Basin in Western China. The increased use of surface water in the upstream of the Tarim River has led to the drying up of a stretch of over 300km, with devastating consequences for the riparian Populus Euphratica forests. To save these valuable ecosystems, the Chinese government initiated the “Ecological Water Conveyance Project”. The goal of this initiative is to stop the decline of the downstream ecosystems by periodically reducing the amount of water diverted for irrigation in the upstream. In order to provide quantitative guidance towards sustainable management, this project integrated ecological data with advanced mathematical modelling of surface water, groundwater and vegetation, using HydroGeoSphere (HGS).