Summary:
Published in Journal of Hydrology: Regional Studies 59: 102453. https://doi.org/https://doi.org/10.1016/j.ejrh.2025.102453
Study Region
This study focuses on 34 snowy catchments in Southern Quebec, Canada, characterized by diverse physiographic and hydrometeorological conditions. The region is particularly vulnerable to climate change due to its cold, snow-dominated hydrology and significant seasonal variability in temperature and precipitation.
Study Focus
The study evaluates future hydroclimatic changes using the Water flow and balance Simulation Model (WaSiM), a physically based distributed hydrological model. Hydroclimatic variables, including precipitation, snow water equivalent (SWE), streamflow, evapotranspiration, soil moisture, and groundwater recharge, were analyzed for reference (1981–2010) and future (2070–2099) periods.
New Hydrological Insights for the Region
The findings reveal significant shifts from snowfall to rainfall, reduced snow accumulation, and earlier snowmelt, leading to altered seasonal streamflow patterns, increased winter low flows, and earlier peak flows. Groundwater recharge and evapotranspiration are projected to rise during colder months, while surface runoff is expected to decline. In addition to analyzing individual variables, the study highlights how climate change alters the relationships between key hydrological processes, such as those linking groundwater recharge, soil moisture and evapotranspiration. These interdependencies underscore the importance of adopting a holistic approach to assess climate change impacts on the water cycle.
Sector(s):
Forests
Catégorie(s):
Scientific Article
Theme(s):
Ecosystems and Environment, Forestry Research, Forests
Departmental author(s):
Author(s):
TALBOT, Frédéric, Jean-Daniel SYLVAIN, Guillaume DROLET, Annie POULIN, Jean-Luc MARTEL and Richard ARSENAULT
Year of publication:
2025
How to get the publication:
Keyword(s):
article scientifique, écosystèmes et environnement, modélisation de la croissance et du rendement des forêts, ecosystems and environment, forest growth and yield modelling, modélisation hydrologique, impact des changements climatiques, écosystèmes boréaux et tempérés, modèles WaSIM-ETH