Staff Research Highlight - Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models
We’re pleased to highlight this publication, co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, which focuses on the integration of deep learning (DL) models with physics-based hydrological models to enhance the efficiency of estimating spatiotemporal groundwater and surface water conditions.
Staff Research Highlight - Effects of soil heterogeneity and preferential flow on the water flow and isotope transport in an experimental hillslope
We’re pleased to highlight this publication, co-authored by Aquanty’s senior scientist, Hyoun-Tae Hwang, which examines the water sources and threshold behaviours of streamflow generation in a mountain headwater catchment.
HGS RESEARCH HIGHLIGHT – The HypoSalar project: Integrating hyporheic exchange fluxes into Atlantic salmon (Salmo salar) spawning habitat models
In this research highlight ultra-fine resolution HydroGeoSphere models are used to simulate hyporheic exchange fluxes in river reaches used by Atlantic salmon for spawning. The HypoSalar project is contributing to demonstrate that the capabilities of HydroGeoSphere are not exclusively related to the field of hydrogeology, but can be used for both fluvial geomorphology and ecological studies due to HydroGeoSphere's flexibility and superior modeling approach.
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.
HGS RESEARCH HIGHLIGHT – Improving control of contamination from waste rock piles
This study conducted by researchers investigates how well compacted cover layers on waste rock piles can mitigate infiltration into these waste piles, reducing the overall potential for oxidation of sulfidic waste materials and control environmental contamination. The research provides a detailed examination of how different cover configurations and hydrogeological conditions affect the performance of these covers in mitigating risks associated with waste rock piles.
HGS RESEARCH HIGHLIGHT – Groundwater recharge from overbank floods
This study, published by researchers using a fully coupled surface-subsurface flow model, explores the process of overbank flood recharge, which is important for estimating aquifer sustainable yield.
HGS RESEARCH HIGHLIGHT – How Does Topography Control Topography-Driven Groundwater Flow?
In a study led by Xiaolang Zhang, Jiu Jimmy Jiao, Wensi Guo, researchers have comprehensively explored the mechanisms governing topography-driven groundwater flow. Their research showcases the complexities between varying rainfall patterns, topographic features, and groundwater flow dynamics, offering invaluable insights into hydrological processes.
HGS RESEARCH HIGHLIGHT – Comparing alternative conceptual models for tile drains and soil heterogeneity for the simulation of tile drainage in agricultural catchments
This research highlight explores tile drainage systems within agricultural catchments, with the goal of refining hydrological modeling methodologies. The study explores the impact of soil heterogeneity on model simulations, revealing its significance at smaller scales. Overall, offering valuable insights into improving the representation of tile drainage in hydrological models, crucial for sustainable water management in agricultural landscapes.
Ontario Water Consortium - WIG Project Highlight: Using machine learning to make flood forecasts less wishy-washy
The Ontario Water Consortium has written an excellent article which reviews Aquanty’s latest technology driven initiative that can be used to manage water resources. With support from the Ontario Water Consortium’s Water Industry Growth Program, Aquanty is making machine-learning (i.e. artificial intelligence) driven real-time flood forecasting a reality.
HGS RESEARCH HIGHLIGHT – The coastal aquifer recovery subject to storm surge: Effects of connected heterogeneity, physical barrier and surge frequency
This research analyzes the combined effects of connected heterogeneity, physical barriers, and surge frequency on coastal aquifer recovery. Using HydroGeoSphere (HGS), Aquanty’s sophisticated modeling platform known for its ability to simulate coupled surface water-groundwater interactions, the team investigated a series of modeling cases in heterogeneous and equivalent homogeneous aquifers.