AI-powered water modelling after wildfires
Developing intelligent models to understand water resources in boreal forests affected by wildfire.
Photo: Matt Howard / UnsplashWIIE
Water Innovation and Intelligent Environment Lab
Current Projects
Water Modelling after Wildfires
Groundwater Recharge & Low Flows
Groundwater Drought
Boreal Aquatic Ecosystems
Sharing Groundwater Knowledge
Groundwater Quality Mapping
Chisasibi Groundwater
Climate & Mine Tailings
Project image credits
Representative imagery. Photos from Unsplash:
- Water Modelling after Wildfires — Matt Howard
- Groundwater Recharge & Low Flows — Adam Śmigielski
- Groundwater Drought — Mike Erskine
- Boreal Aquatic Ecosystems — Guy Tsror
- Sharing Groundwater Knowledge — USGS
- Groundwater Quality Mapping — Etienne Girardet
- Chisasibi Groundwater — Chenoa Liu
- Climate & Mine Tailings — MiningWatch Portugal
About Us
The Water Innovation and Intelligent Environment Lab (WIIE) is an interdisciplinary research lab that combines artificial intelligence, remote sensing, hydro(geo)logy, and environmental science to better understand water systems and their response to environmental change. Our research develops innovative tools to monitor, model, and predict hydrological and environmental processes. By addressing the impacts of climate change on water resources and ecosystems, we support sustainable management, climate adaptation, and environmental resilience.
Our team
Highlights
Groundwater knowledge in Chisasibi
Combining field observations, hydrogeology, and AI to address groundwater knowledge gaps in northern Québec.
Photo: Chenoa Liu / UnsplashUnderstanding groundwater drought
Interpretable deep learning to investigate drought onset, propagation, severity, and recovery.
Photo: Mike Erskine / UnsplashWater quality after extreme wildfires
Assessing contaminant transport and ecological risks to Québec’s boreal aquatic ecosystems.
Photo: Guy Tsror / Unsplash
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Latest News
Rahim Barzegar nominated as co-responsable of the Water Availability Axis at CentrEau
Rahim Barzegar has been nominated for the role of co-responsable of the Water Availability Axis at CentrEau. Read More
Photo: Adam Śmigielski / UnsplashOuranos project: modelling groundwater recharge and low flows under climate change
The Ouranos–MELCCFP QClim’Eau project brings physics-informed graph neural networks to groundwater recharge and river low-flow modelling in Québec. Read More
Photo: Matt Howard / UnsplashAI-powered water modelling in boreal forests after wildfires
An NSERC Discovery project led by Rahim Barzegar investigates how wildfire changes water resources in boreal forests. Read More