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.
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.
Manitoba Cooperator - Field-level water forecasts: There’s an app for that
The Manitoba Cooperator has written an excellent article (with comments from Dr. Steve Frey, Aquanty’s Director of Research Services) which reviews some of the new technology driven initiatives to manage water resources throughout Manitoba, with a specific focus on the newly developed MFGA Aquanty Forecasting Tool - a real-time hydrologic forecasting system for decision-support around water movement, soil health, climate risk assessment & mitigation in the Assiniboine River Basin and Pembina River watersheds.
Manitoba Co-operator - Hydrology forecasting tool drills down to field level
Farmers in the Assiniboine River basin will soon have access to a new tool designed to help them make predictions about water flow at the field level. The tool was developed by the hydrologic modelling firm Aquanty, in cooperation with the Manitoba Forage and Grasslands Association. They are able to combine their model with remote sensing data on things like soil moisture levels and real time groundwater monitoring sensors to set the initial conditions before launching a hydrologic forecast. “Combining that with insights on how water management infrastructure is maintained during floods and droughts and using cloud computing infrastructure, we can readily construct these models and deliver them via an app to your fingertips,”
