Staff Research Highlight - Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics
Aquanty staff investigate the potential for using near-surface soil moisture measurements from the Soil Moisture Active Passive (SMAP) satellite to predict subsurface soil moisture and groundwater storage dynamics. This research offers valuable insights into how satellite-based soil moisture data can inform large-scale hydrological modelling and support more effective water resource management.
Staff Research Highlight - Understanding topography-driven groundwater flow using fully-coupled surface-water and groundwater modeling
This research focuses on understanding the dynamics of topography-driven groundwater flow systems using fully-coupled surface–subsurface hydrologic modelling. This study addresses long-standing challenges in representing nested flow systems by simulating interactions between climate, topography, and groundwater without relying on potentially unrealistic, static boundary conditions.
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.
HydroSphereAI Selected as Finalist for New Tech Award - Water Canada Awards
Aquanty Inc. is proud to announce that we have once again been selected as a finalist for the New Tech Award at the 2025 Water Canada Awards for our cutting-edge, machine-learning-based streamflow forecasting system, HydroSphereAI.
Staff Research Highlight - A Continuous Differentiable Formulation for Seepage Face Boundary Conditions in Dynamic Groundwater Systems
This research by Aquanty staff introduces a continuously differentiable formulation for seepage face boundary conditions in dynamic groundwater systems. Traditional approaches often model seepage faces with abrupt boundary transitions, leading to numerical instabilities, convergence issues, and computational inefficiencies in transient groundwater simulations. This research presents a novel approach that ensures smooth transitions between saturated and unsaturated zones, improving the stability and accuracy of numerical groundwater models.
Manitoba Cooperator - Farm climate adaptation on tap with MFGA project
The Manitoba Co-operator has featured the latest MFGA initiative, with comments from Dr. Steve Frey, Aquanty’s Director of Research Services, highlighting how advanced modelling is supporting more climate-resilient farming in Manitoba. The new project “Evaluating climate change impacts on Manitoba’s forage and grassland landscapes” will build on the MFGA Aquanty hydrologic model to simulate how changing climate conditions could impact water availability, land use, and agricultural sustainability across the Pembina Valley and Assiniboine West Watershed Districts.
Snow Modelling Products on HydroClimateSight
With a big winter storm sweeping across Ontario over the past week, we thought it might be a good time to review the various snow modelling products available through the HydroClimateSight decision support platform.
HGS HIGHLIGHT – Estimating cumulative wastewater treatment plant discharge influences on acesulfame and Escherichia coli in a highly impacted watershed with a fully-integrated modelling approach
In this research highlight, researchers used HydroGeoSphere (HGS) to explore the impact of wastewater treatment plant (WWTP) discharge on surface water contamination in a mixed-use watershed in Ontario, Canada. The study focused on tracking acesulfame, a commonly used artificial sweetener, and Escherichia coli (E. coli), a fecal indicator, to understand how these contaminants move between surface and groundwater systems. Understanding the interactions between surface water and groundwater is critical in watersheds where WWTP discharge contributes to regional water quality concerns.
HydroSphereAI featured in OWC’s Innovation Showcase
We’re proud to share that Aquanty’s cutting-edge hydrological forecasting tool HydroSphereAI is now featured in the Ontario Water Consortium (OWC) Innovation Showcase. The OWC highlights our machine-learning based streamflow forecasting tool, designed to address the complex water management challenges of today and position Aquanty as a leader in hydrological forecasting solutions.
“Homegrown Technologies Could Play a Key Role in the World’s Water Future” - Aquanty Featured in CWRA’s Water News Magazine
We’re proud to share that Aquanty has been highlighted in a recent issue of the CWRA’s Water News Magazine. This article explores the innovative tools we’ve developed to tackle 21st-century water resource challenges, positioning Aquanty as a leader in hydrologic system modelling both in Canada and internationally.