Staff Research Highlight - Steady-state density-driven flow and transport: Pseudo-transient parameter continuation

Staff Research Highlight - Steady-state density-driven flow and transport: Pseudo-transient parameter continuation

Co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, this research presents a new numerical approach for efficiently solving steady-state density-driven flow and transport equations— an important challenge in groundwater modelling, particularly for coastal aquifers affected by seawater intrusion. The research introduces a hybrid technique called pseudo-transient parameter continuation (PTPC), which combines the robustness of pseudo-transient continuation (PTC) methods with the computational efficiency of parameter continuation (PC) strategies.

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HydroClimateSight Feature Highlight: Understanding Ensemble vs Deterministic Forecasting in HydroSphereAI

HydroClimateSight Feature Highlight: Understanding Ensemble vs Deterministic Forecasting in HydroSphereAI

We’re excited to announce that short-range streamflow forecasting is now available in HydroSphereAI! Our new short-range forecasts offer detailed predictions for the day ahead with hourly output intervals. To address the lack of uncertainty information typical of deterministic systems, we’ve introduced a lagged ensemble approach, giving you a clearer picture of forecast confidence in the near term.

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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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HydroSphereAI Case Study: Crowe River Near Glen Alda

HydroSphereAI Case Study: Crowe River Near Glen Alda

In late March 2025, the Crowe Valley Conservation Authority issued a Flood Watch across the watershed in response to a forecasted storm system and ongoing spring runoff. Forecasted rainfall, saturated soils, and an above-average snowpack created the right conditions for elevated streamflows, particularly in the Crowe River watershed. With a peak spring snow water equivalent (SWE) of 149.2 mm, the basin was primed for rapid hydrologic response—culminating in a strong single peak on April 6, when flows at Water Survey of Canada hydrometric Station 02HK005 reached 45.2 m³/s.

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HGS RESEARCH HIGHLIGHT – Exploring the reliability of ²²²Rn as a tracer of groundwater age in alluvial aquifers: Insights from the explicit simulation of variable ²²²Rn production

HGS RESEARCH HIGHLIGHT – Exploring the reliability of ²²²Rn as a tracer of groundwater age in alluvial aquifers: Insights from the explicit simulation of variable ²²²Rn production

We’re pleased to highlight this publication which investigates the reliability of using radon-222 (²²²Rn) as a tracer for groundwater age in alluvial aquifers. Accurate estimations of groundwater residence time (GRT)—the time since water infiltrated from the surface—are critical for effective water resource management, especially in systems that rely on bank filtration near rivers for drinking water supply. While ²²²Rn has long been employed as a natural tracer due to its radioactive decay properties and elevated concentrations in groundwater, most traditional models assume spatially uniform ²²²Rn production and purely advective flow— assumptions that rarely hold in real-world aquifers.

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Staff Research Highlight - Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error

Staff Research Highlight - Application of Different Weighting Schemes and Stochastic Simulations to Parameterization Processes Considering Observation Error

In this paper co-authored by Aquanty personnel, researchers explore how different weighting schemes and stochastic simulations can enhance the accuracy of parameter estimation processes, ultimately reducing uncertainty in climate change impact assessments.

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HGS RESEARCH HIGHLIGHT – Reclamation for aspen revegetation in the Athabasca oil sands: Understanding soil water dynamics

HGS RESEARCH HIGHLIGHT – Reclamation for aspen revegetation in the Athabasca oil sands: Understanding soil water dynamics

We’re pleased to highlight this publication which focuses on understanding soil water dynamics in reclaimed landscapes within the Athabasca oil sands region using unsaturated flow modeling. The study explores how different reclamation strategies affect soil water availability and water table fluxes— critical components for supporting aspen revegetation, a key species in boreal forest ecosystems.

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HGS RESEARCH HIGHLIGHT – Reactive transport modelling of acid mine drainage within discretely fractured porous media: Plume evolution from a surface source zone

HGS RESEARCH HIGHLIGHT – Reactive transport modelling of acid mine drainage within discretely fractured porous media: Plume evolution from a surface source zone

This paper investigates the fate and transport of acid mine drainage (AMD) through fractured porous media using a discrete fracture network (DFN) modelling approach. This research addresses a critical environmental challenge in mining regions— predicting how acidic contaminants generated by sulphide mineral oxidation migrate through complex geological formations and interact with host rocks over time.

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