A5025903466- Hydrology and Watershed Management Studies
- Fish Ecology and Management Studies
- Hydrological Forecasting Using AI
- Hydrology and Sediment Transport Processes
- Climate variability and models
- Hydrology and Drought Analysis
- Peatlands and Wetlands Ecology
- Soil and Water Nutrient Dynamics
- Water Quality and Pollution Assessment
- Meteorological Phenomena and Simulations
- Marine and fisheries research
- Soil erosion and sediment transport
- Flood Risk Assessment and Management
- Climate change and permafrost
- Cryospheric studies and observations
- Coastal wetland ecosystem dynamics
- Ecology and biodiversity studies
- Plant Water Relations and Carbon Dynamics
- Water Quality Monitoring Technologies
- Arctic and Antarctic ice dynamics
- Freshwater macroinvertebrate diversity and ecology
- Water Quality and Resources Studies
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Botany and Plant Ecology Studies
Institut National de la Recherche Scientifique
2016-2025
University of New Brunswick
2016-2025
Université Laval
2025
Centre National pour la Recherche Scientifique et Technique (CNRST)
2023
Ministère des Ressources naturelles et des Forêts
2022
GDG Environnement
2017-2021
Utah State University
2021
St. Lawrence River Institute of Environmental Sciences
2020
Université du Québec
2012
Hydro-Québec
2004-2011
This paper provides an overview of the key processes that generate floods in Canada, and a context for other papers this special issue – provide detailed examinations specific flood-generating processes. The historical flooding Canada is outlined, followed by summary regional aspects descriptions these regions, including generated snowmelt, rain-on-snow rainfall. Some flood are particularly relevant, or which have been less well studied described: groundwater, storm surges, ice-jams urban...
Abstract Successful applications of stochastic models for simulating and predicting daily stream temperature have been reported in the literature. These generally tested on small rivers used only air as an exogenous variable. This study investigates modelling mean water temperatures Moisie River, a relatively large unregulated river located Québec, Canada. The objective is to compare different approaches previously streams relate streamflow indices. Various are model residuals, representing...
Abstract Changes in the extreme annual wind speed and around Gulf of St. Lawrence (Canada) were investigated through a nonstationary value analysis maximum 10-m obtained from North American Regional Reanalysis (NARR) dataset as well observed data selected stations Environment Canada. A generalized distribution with time-dependent location scale parameters was used to estimate quantiles interest functions time at locations where significant trend detected. Bayesian method, likelihood...
Water temperature has a significant influence on aquatic organisms, including stenotherm fish such as salmonids. It is thus of prime importance to build reliable tools forecast water temperature. This study evaluated statistical scheme model average based daily air and discharge at the Sainte-Marguerite River, Northern Canada. The aim was test non-parametric generalized additive (GAM) compare its performance three previously developed approaches: logistic, residuals regression linear models....
Abstract Temporal variability in water temperature plays an important role aquatic ecosystems, yet the thermal regime of streams has mainly been described terms mean or extreme conditions. In this study, annual and diel stream was at 135 unregulated, gauged across USA. Based on magnitude, amplitude timing characteristics daily records ranging from 5 to 33 years, we classified regimes into six distinct types. This classification underlined importance including (amplitude timing) addition...
Stream water temperature is a very important parameter when assessing aquatic ecosystem dynamics. For instance, cold-water fishes such as salmon can be adversely affected by maximum summer temperatures or those exaggerated land-use activities deforestation. The present study deals with the modelling of stream using stochastic approach to relate air and in Catamaran Brook, small New Brunswick where long-term multidisciplinary habitat research being carried out. first step was establish annual...
Abstract Water temperature is a key abiotic variable that modulates both water chemistry and aquatic life in rivers streams. For this reason, numerous models have been developed recent years. In paper, k ‐nearest neighbour model (KNN) proposed validated to simulate eventually produce one‐day forecast of mean on the Moisie River, watercourse with an important salmon population eastern Canada. Numerous KNN configurations were compared by selecting different attributes testing weight...