Grant: Alliance Grants
École de technologie supérieure
$38,450.00
Development of an improved hourly ensemble streamflow forecasting system for flood forecasting on small watersheds
FY 2021-22
Summary
Canada is blessed with plentiful water resources which have contributed to making it a leader in water-related fields such as hydropower and flood management. Nonetheless, major floods have caused millions of dollars of damages in the recent years and multiple initiatives have been put forth to evaluate methods to better predict their timing and magnitude to help public safety officials plan emergency response interventions. For the last 25 years, the hydrometeorological consulting firm Hydro Météo has helped municipalities, public safety agencies and watershed management organizations to forecast floods, prevent ice jams and instrument rivers across the province of Québec. Their expertise in hydrological forecasting allows them to provide custom analyses for their clients, improving response times and preventing damages to infrastructures and risks to human life as much as possible.Currently, Hydro Météo uses a forecasting system based on a simple, yet skillful, hydrological model running on a daily time step, and they run their model using weather forecasts from different sources to transform precipitation and temperatures into river streamflow. Hydro Météo is currently transitioning to a multi-model approach using an hourly time step to improve forecast resolution and accuracy, especially on smaller (between 20 and 2000 square kilometers) watersheds. However, efficiently implementing a forecasting system using multiple hydrological models and multiple weather forecast products on hourly timescales remains a key issue which and is still debated in the scientific community. This proposed project will evaluate and develop methods to allow sub-daily hydrological forecasting based on model performance in different hydrological regimes. This will make it possible to improve short-term forecasting for flood risk management, but also for more precise estimates of inflows to hydropower reservoirs for hydropower operating utilities.
Program
Alliance Grants
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
560780-2020
Name nom
Arsenault, Richard
Department département
Génie de la construction
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2020
Award amount
38450
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
702
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Water
Area of application fr
Maritime
Research subject code
4500
Research subject group en
Hydrology
Research subject group fr
Hydrologie
Research subject en
Hydrology
Research subject fr
Hydrologie
Installment
inst:1
Partie
1
Nb partie
2
Application title
Development of an improved hourly ensemble streamflow forecasting system for flood forecasting on small watersheds
Keyword
NSERC
Application summary
Canada is blessed with plentiful water resources which have contributed to making it a leader in water-related fields such as hydropower and flood management. Nonetheless, major floods have caused millions of dollars of damages in the recent years and multiple initiatives have been put forth to evaluate methods to better predict their timing and magnitude to help public safety officials plan emergency response interventions. For the last 25 years, the hydrometeorological consulting firm Hydro Météo has helped municipalities, public safety agencies and watershed management organizations to forecast floods, prevent ice jams and instrument rivers across the province of Québec. Their expertise in hydrological forecasting allows them to provide custom analyses for their clients, improving response times and preventing damages to infrastructures and risks to human life as much as possible.Currently, Hydro Météo uses a forecasting system based on a simple, yet skillful, hydrological model running on a daily time step, and they run their model using weather forecasts from different sources to transform precipitation and temperatures into river streamflow. Hydro Météo is currently transitioning to a multi-model approach using an hourly time step to improve forecast resolution and accuracy, especially on smaller (between 20 and 2000 square kilometers) watersheds. However, efficiently implementing a forecasting system using multiple hydrological models and multiple weather forecast products on hourly timescales remains a key issue which and is still debated in the scientific community. This proposed project will evaluate and develop methods to allow sub-daily hydrological forecasting based on model performance in different hydrological regimes. This will make it possible to improve short-term forecasting for flood risk management, but also for more precise estimates of inflows to hydropower reservoirs for hydropower operating utilities.