Aquanty Selected as Finalist for New Tech Award for Machine-Learning Based Streamflow Forecasting

Aquanty Selected as Finalist for New Tech Award for Machine-Learning Based Streamflow Forecasting

Aquanty Inc. is proud to have been selected as finalists for the New Tech award at the annual Water Canada Awards. This award recognizes a groundbreaking new product at the forefront of technological innovation in the Canadian water sector.

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"HGSRT: Physics-based hydrologic forecasting, powered by HydroGeoSphere" - Aquanty Webinar

"HGSRT: Physics-based hydrologic forecasting, powered by HydroGeoSphere" - Aquanty Webinar

A recording of our July 17th, 2024 webinar is now released.

In this webinar, we dive into the revolutionary capabilities of our physics based hydrologic forecasting platform - a cutting-edge cloud-based computing system transforming hydrological forecasting. By integrating near-real-time field observations, remote sensing products, and meteorological predictions, this platform provides unparalleled accuracy and reliability in hydrological forecasts.

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"HydroSphereAI: Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar

"HydroSphereAI: Machine Learning for Flood and Drought Forecasting" - Aquanty Webinar

Aquanty has developed a new machine-learning model that can produce highly accurate streamflow forecasts hours or days into the future. We are currently working on integrating these new capabilities into our suite of web-based water decision support tools. As one of the only companies in Canada currently doing this kind of forecasting, we are well positioned to meet a growing need for advanced forecasting tools. ML-based streamflow forecasts are currently available for a small selection of watersheds in southwestern Ontario through Aquanty’s HGSRT web platform.

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Ontario Water Consortium - WIG Project Highlight: Using machine learning to make flood forecasts less wishy-washy

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.

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"Using Wetlands to Flatten the Hydrograph" - Webinar

"Using Wetlands to Flatten the Hydrograph" - Webinar

We were so pleased to see a presentation featuring HydroGeoSphere at this year's Latornell Conservation Symposium. The presentation (“Using Wetlands to “Flatten the Hydrograph”) was delivered by representatives from Ducks Unlimited Canada (DUC), and focused on a recent collaboration between DUC, Ontario Power Generation (OPG) and Aquanty. At the center of the project is an advanced integrated hydrologic model of the Dog Lake watershed in Northern Ontario.

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Manitoba Cooperator - Field-level water forecasts: There’s an app for that

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.

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MFGA-Aquanty Forecast Tool - Grasslander Fall 2023

MFGA-Aquanty Forecast Tool - Grasslander Fall 2023

We are so glad to see that another issue of the Manitoba Forage and Grassland Association’s (MFGA) Grasslander has been published, providing a timely update on the ongoing work that the MFGA and Aquanty have been putting into the MFGA-Aquanty Forecasting Tool.

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HGS RESEARCH HIGHLIGHT – Disentangling runoff generation mechanisms: Combining isotope tracing with integrated surface/subsurface simulation

HGS RESEARCH HIGHLIGHT – Disentangling runoff generation mechanisms: Combining isotope tracing with integrated surface/subsurface simulation

A new study co-authored by researchers at Hohai University and Aquanty Staff introduces an effective way to track runoff generation in a headwater catchment by combining isotopic tracer analysis and integrated hydrologic modelling using HydroGeoSphere.

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