Modelling the risk of ice jams in southern Quebec in the context of climate change
This project will develop a predictive model of the risk of ice jams for a representative sample of southern Quebec watersheds in the context of climate change.
This project will develop a predictive model of the risk of ice jams for a representative sample of southern Quebec watersheds in the context of climate change.
This project has highlighted combined climate events that should be prioritized in Quebec by targeting the information needs related to these events.
This project aims to deepen knowledge of the complexity associated with cascading failures of critical systems to improve understanding and enable better decision-making on this subject.
This project aims to implement a new thermal simulation module in the PHYSITEL-HYDROTEL hydrological platform, as well as an LSTM deep learning model, to simulate the temperature of rivers in southern Quebec for a future edition of the Hydroclimatic Atlas of Southern Québec.
This project will provide an analysis of the economic impacts of forest fires in the context of climate change in Quebec. It will also analyze the cost effectiveness of adaptation solutions to enable informed decision-making.
This project aims to answer the following question : Does the improved simulation of precipitation extremes with the new generation of regional climate models with 2.5 km resolution lead to an improvement in flooding simulations by a hydrological model in southern Quebec?
Once completed, this project will provide a robust research tool for investigating various questions related to hydrology and climate change in Quebec. It will also offer a way for the hydrological modelling community in Quebec to work together and discuss new developments in the field.
Many climate change adaptation and mitigation measures involve changes in land use, including urban planning, agricultural practices, the planting of trees or crops for bioenergy or carbon capture, and the restoration of natural ecosystems.
This project has advanced our understanding of how hydrological simulations in this type of ensemble must be combined to maximize the information contained in these projections.
This interdisciplinary project analyzed the challenges of residential groundwater contamination during flood events, drawing on both environmental and social approaches.