HydroGeoSphere at the EGU23 General Assembly
HydroGeoSphere is usually well represented at the annual European Geoscience Union’s General Assembly, but 2023 might be a new record with 10 presentations which relied on the integrated hydrologic modelling capabilities of HGS.
HGS RESEARCH HIGHLIGHT – Disentangling runoff generation mechanisms: Combining isotope tracing with integrated surface/subsurface simulation
A new study co-authored by researchers at Hohai University and Aquanty Staff introduces an effective way to track runoff generation in a headwater catchment by combining isotopic tracer analysis and integrated hydrologic modelling using HydroGeoSphere.
HGS RESEARCH HIGHLIGHT – Estimation of groundwater contributions to Athabasca River, Alberta, Canada
This paper evaluates surface water-groundwater interactions within the Athabasca River Basin (ARB). The fully integrated nature of HydroGeoSphere was a key contributor to this study, as these simulations allowed for clear accounting of the interaction between groundwater and surface water, while also incorporating influential hydrologic mechanisms like snowmelt/accumulation and evapotranspiration over a very large area.
HGS RESEARCH HIGHLIGHT – Logjam Characteristics as Drivers of Transient Storage in Headwater Streams
A new paper highlights the impacts that logjams have on the transient storage in streams and rivers. The researchers used a physical flume to test a variety of scenarios and and relied on HydroGeoSphere to elucidate the surface and subsurface flow patterns which contributed to increased transient storage, and changes to hyporheic exchange in areas affected by logjams.
HGS RESEARCH HIGHLIGHT – Sequential surface and subsurface flow modeling in a tropical aquifer under different rainfall scenarios
This paper demonstrates how HGS is flexible enough to model specific regions/domains of interest (i.e. including discrete fracture networks, but without integrated surface hydrology) and can be used in conjunction with other hydrologic modelling platforms.
HGS RESEARCH HIGHLIGHT – Sources of surface water in space and time: Identification of delivery processes and geographical sources with hydraulic mixing-cell modeling
The paper highlighted this week presents a very interesting post-processing method for HydroGeoSphere models. The results of the HGS model were used as input into the hydraulic mixing-cell (HMC) approach which enables tracking and delineation of the mixing of predefined initial water sources at any location and at any time based on information from the hydraulic flow solution
HGS RESEARCH HIGHLIGHT – Predicting Watershed Scale Surface Water Quality Targets With a Combined Fully-Integrated Groundwater-Surface Water Model and Machine Learning Approach
The poster highlights some very interesting research at the nexus of physics based integrated hydrologic modelling (using HydroGeoSphere) and machine learning/artificial intelligence techniques. Here the authors have paired an HGS 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. For a completely novel approach toward large scale water quality prediction, the results were very encouraging!
HGS RESEARCH HIGHLIGHT - Integrated surface-subsurface water and solute modeling of a reclaimed in-pit oil sands mine: Effects of ground freezing and thawing
The HydroGeoSphere model presented here was able to successfully simulate the water balance and water quality response of the reclaimed landforms, and the results indicate that the impact of winter processes (i.e., pore-water freeze/thaw) on infiltration and surface runoff are significant. Including freeze-thaw resulted in reduced infiltration during spring melt and reduced salt loading during winter. In total, a 20% reduction of chloride mass release (over an 8-year period) was simulated when freeze-thaw processes were included in the simulations. These results provide a strong argument for the inclusion if winter processes and coupled heat dynamics for detailed studies of integrated hydrologic processes in the Athabasca Oil Sands region.
