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 will contribute to advance methods and metrics for adaptation monitoring and evaluation in critical infrastructure sectors.

The goal of this project is to promote the implementation of disability-inclusive climate change adaptation in the Montréal metropolitan area. It also aims to understand the influence of social, institutional, physical and economic barriers on the climate vulnerability of people with disabilities.

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 aims to get an overall view of hydrological drought episodes in southern Quebec in the context climate change by better identifying the meteorological conditions leading to such events and analyzing their prevalence in future climates. The project could pave the way for a hydrological forecast adapted to low water levels.

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.