HydroSphereAI featured in OWC’s Innovation Showcase

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.

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“Homegrown Technologies Could Play a Key Role in the World’s Water Future” - Aquanty Featured in CWRA’s Water News Magazine

“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.

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HGS RESEARCH HIGHLIGHT – Assessing the impact of surface water and groundwater interactions for regional-scale simulations of water table elevation

HGS RESEARCH HIGHLIGHT – Assessing the impact of surface water and groundwater interactions for regional-scale simulations of water table elevation

In this research highlight, researchers Hugo Delottier, Oliver S. Schilling, and René Therrien, conducted an in-depth exploration of how the interaction between surface water (SW) and groundwater (GW) affects the accuracy of regional-scale simulations of water table elevations in Southern Quebec. This investigation was conducted over a vast 36,900 km² regional aquifer system, which is marked by a complex hydrogeological setup. The area of study includes a regional bedrock aquifer that is overlain by discontinuous Quaternary sediments, presenting a challenging environment for accurate hydrological modelling.

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HGS RESEARCH HIGHLIGHT – Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere

HGS RESEARCH HIGHLIGHT – Using High-Resolution Data to Test Parameter Sensitivity of the Distributed Hydrological Model HydroGeoSphere

By integrating HydroGeoSphere in this study, the researchers demonstrate its versatility in accommodating high-resolution data and conducting sensitivity analyses across different spatial scales. Precipitation emerges as the most sensitive input data, significantly influencing total runoff and peak flow rates. Additionally, the study highlights the importance of spatially distributed land use parameterization in accurately simulating evapotranspiration components and patterns.

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HGS RESEARCH HIGHLIGHT – Groundwaters in Northeastern Pennsylvania near intense hydraulic fracturing activities exhibit few organic chemical impacts

HGS RESEARCH HIGHLIGHT – Groundwaters in Northeastern Pennsylvania near intense hydraulic fracturing activities exhibit few organic chemical impacts

In this comprehensive study, researchers investigated the potential impact of hydraulic fracturing activities on groundwater quality in Northeastern Pennsylvania, using a HydroGeoSphere model of a region with thirty gas-well pads. Modelling results suggest a low probability of systematic groundwater organic contamination in the region.

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HGS RESEARCH HIGHLIGHT – How Does Topography Control Topography-Driven Groundwater Flow?

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.

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HGS RESEARCH HIGHLIGHT – Comparing alternative conceptual models for tile drains and soil heterogeneity for the simulation of tile drainage in agricultural catchments

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.

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HGS RESEARCH HIGHLIGHT – Saltwater Intrusion Into a Confined Island Aquifer Driven by Erosion, Changing Recharge, Sea-Level Rise, and Coastal Flooding

HGS RESEARCH HIGHLIGHT – Saltwater Intrusion Into a Confined Island Aquifer Driven by Erosion, Changing Recharge, Sea-Level Rise, and Coastal Flooding

This research sheds light on the complex interactions between storm surges, reduced recharge, high erosion rates, and sea-level rise on the hydrological balance of Prince Edward Island. By leveraging the advanced capabilities of HGS, the researchers were able to test impact that climate change and future trends in coastal hydrology will have on the islands groundwater quality and the movement on the saltwater wedge underlying PEI.

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HGS RESEARCH HIGHLIGHT – Simulating the recession dynamics of Arctic catchments in the context of a thawing permafrost

In a recent study, researchers have made significant strides in understanding how climate warming is altering the Arctic's hydrological dynamics. The study delves into the complex relationship between permafrost thaw and groundwater flow. Traditionally, Arctic hydrology has been conceptualized as a local system, confined by the frozen ground. However, as the climate warms, permafrost begins to thaw, transitioning this system into a more interconnected network of regional aquifers. This transformation is crucial, as it alters the fundamental dynamics of water movement and storage in the Arctic.

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