HGS RESEARCH HIGHLIGHT – Three‐Dimensional Geostatistical Inverse Analyses of Transient Head and Temperature Data From a Long‐Term Heat Tracer Test

HGS RESEARCH HIGHLIGHT – Three‐Dimensional Geostatistical Inverse Analyses of Transient Head and Temperature Data From a Long‐Term Heat Tracer Test

We’re pleased to highlight this staff research highlighted which investigates how three-dimensional geostatistical inverse modelling can improve characterization of subsurface heterogeneity in groundwater systems. This study leverages HydroGeoSphere (HGS) to simulate fully coupled groundwater flow and transport processes within a stochastic inversion framework, addressing long-standing challenges in estimating spatially distributed hydraulic conductivity fields from limited observational data.

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HGS RESEARCH HIGHLIGHT – Climate Change Alters Post-Surge Recovery of Coastal Aquifers

HGS RESEARCH HIGHLIGHT – Climate Change Alters Post-Surge Recovery of Coastal Aquifers

This publication co-authored by Satoshi Tajima, René Therrien and Philip Brunner investigates how climate change influences the recovery of coastal aquifers following storm surge events. This study leverages HydroGeoSphere (HGS) to simulate coupled groundwater flow and variable-density salt transport, addressing long-standing challenges in understanding how coastal aquifers respond to storm-driven seawater intrusion and how recovery dynamics may change under future climatic conditions.

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HGS RESEARCH HIGHLIGHT – Modeling the water use associated with energy consumption changes on saltwater intrusion in the Pearl River estuary, China

HGS RESEARCH HIGHLIGHT – Modeling the water use associated with energy consumption changes on saltwater intrusion in the Pearl River estuary, China

This research investigates how increased energy consumption and associated changes in water use impact saltwater intrusion in the Pearl River Estuary— one of China's most economically vital and environmentally vulnerable regions.

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HGS RESEARCH HIGHLIGHT – A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water–groundwater flow models

HGS RESEARCH HIGHLIGHT – A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water–groundwater flow models

This research highlight co-authored by D. Partington, P. Brunner, C.T. Simmons, René Therrien, A.D. Werner, G.C. Dandy, and H.R. Maier, introduces a hydraulic mixing-cell (HMC) method to accurately quantify the groundwater component of streamflow within fully integrated surface–subsurface hydrologic models. This study leverages HydroGeoSphere (HGS) to address long-standing challenges in decomposing streamflow generation mechanisms without relying on tracer transport simulations or simplifying assumptions about groundwater discharge.

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HGS RESEARCH HIGHLIGHT – Characterizing Spatial Heterogeneity of Hydraulic Conductivity Using Borehole NMR in a Complex Groundwater Flow System

HGS RESEARCH HIGHLIGHT – Characterizing Spatial Heterogeneity of Hydraulic Conductivity Using Borehole NMR in a Complex Groundwater Flow System

This research highlight co-authored by Chenxi Wang, Colby M. Steelman, and Walter A. Illman, investigates how borehole nuclear magnetic resonance (NMR) logging can be used to characterize subsurface heterogeneity and improve the representation of hydraulic conductivity in groundwater flow models. This study leverages HydroGeoSphere (HGS) to evaluate the predictive performance of NMR-derived hydraulic conductivity (K) models and assess how different spatial interpolation and upscaling approaches influence flow and drawdown predictions in a highly heterogeneous aquifer system.

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HGS RESEARCH HIGHLIGHT - Natural and anthropogenic drivers of the water table dynamics in a riparian fen peatland

HGS RESEARCH HIGHLIGHT - Natural and anthropogenic drivers of the water table dynamics in a riparian fen peatland

This publication, co-authored by Adrien Renaud, Claude Mügler, Véronique Durand, and Marc Pessel, which examines the natural and anthropogenic drivers of water table dynamics in a riparian fen peatland along the Essonne River in France. This study leverages HydroGeoSphere (HGS) to couple surface and subsurface hydrology, providing new insights into how precipitation seasonality, vegetation activity, and river regulation influence peatland water levels.

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HGS RESEARCH HIGHLIGHT - Using water sources extent during inundation as a reliable predictor for vegetation zonation in a natural wetland floodplain

HGS RESEARCH HIGHLIGHT - Using water sources extent during inundation as a reliable predictor for vegetation zonation in a natural wetland floodplain

We’re pleased to highlight this publication, co-authored by Tomasz Berezowski and Martin Wassen, which investigates how the extent of water sources during inundation can be used as reliable predictors of vegetation zonation in wetland floodplains. This study leverages HydroGeoSphere (HGS) together with the Hydraulic Mixing-Cell (HMC) method to address long-standing challenges in modelling vegetation dynamics by explicitly accounting for the spatial distribution of different water sources during floods.

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HGS RESEARCH HIGHLIGHT - Model simplification to simulate groundwater recharge from a perched gravel-bed river

HGS RESEARCH HIGHLIGHT - Model simplification to simulate groundwater recharge from a perched gravel-bed river

This publication co-authored by Antoine Di Ciacca, Scott Wilson, Patrick Durney, Guglielmo Stecca, and Thomas Wöhling, investigates model simplification strategies to simulate groundwater recharge from perched gravel-bed rivers. This study leverages HydroGeoSphere (HGS) as a fully integrated 3D surface–subsurface model, alongside 2D cross-sectional and 1D analytical models, to address long-standing challenges in representing river–aquifer interactions while reducing computational demands.

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HGS RESEARCH HIGHLIGHT – Vulnerability of the Saint-Charles drinking water source: portrait of the groundwater resources of the St-Charles River watershed and their links with surface water

HGS RESEARCH HIGHLIGHT – Vulnerability of the Saint-Charles drinking water source: portrait of the groundwater resources of the St-Charles River watershed and their links with surface water

We’re pleased to highlight this research effort, which focuses on understanding the vulnerability of the Saint-Charles River drinking water source and characterizing the groundwater resources that support it. Presented through a public-facing ArcGIS Story Map, this project delivers an accessible summary of a detailed hydrogeological study that integrates field measurements, geochemical analyses, and numerical modelling to evaluate the watershed’s current and future ability to provide safe, reliable drinking water for the City of Quebec and its surrounding municipalities.

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HGS RESEARCH HIGHLIGHT – Source Water Protection in Quebec City: Using an integrated 3D hydrological model to investigate surface water-groundwater interactions

HGS RESEARCH HIGHLIGHT – Source Water Protection in Quebec City: Using an integrated 3D hydrological model to investigate surface water-groundwater interactions

The research, presented as a poster by Benjamin Frot at EGU 2025, explores the use of HydroGeoSphere (HGS) to investigate surface water–groundwater interactions in the Saint-Charles River watershed, which supplies drinking water to Quebec City. With a focus on source water protection, the study addresses the challenges posed by increasing urbanization, contamination from septic systems and road salts, and reduced water availability during low-flow periods. The work is part of a larger project aimed at evaluating the vulnerability of Quebec City's main surface water intake.

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