Grant: Discovery Grants Program - Individual
Université d'Ottawa
$31,000.00
Integrated Water Resources Management for sustainable development using artificial intelligence approaches
FY 2023-24
Summary
The main goal of this research program is to project the impacts of future climate change in terms of calculating and predicting water balance parameters in a watershed including precipitation, evapotranspiration and runoff. This research will advance scientific knowledge on hydrological system modelling, which is vital for decision-makers to assess vulnerable areas and formulate future adaptation strategies. This research will assist in the development of novel, practical and feasible methodologies to minimize potential negative environmental effects of climate change in urban and agricultural watersheds. Specifically, through objective 1 this research focuses on improving scientific methods of physically modelling a wide variety of hydrological systems with emphasis on evapotranspiration for appropriate watershed management using integrated artificial intelligence techniques. The second objective of this proposal is aimed at identifying the impact of climate change for both the calculation and prediction of watershed runoff by developing an automated method based on the new and enhanced integrated models developed in objective 1 to protect runoff-vulnerable areas. The main outcome of these findings will be enhanced accuracy of hydrological modelling outputs to overcome the shortcomings in previous studies; reliable approaches showing the relationship between various control variables and the process physics; and assess the uncertainty in the developed model prediction. This knowledge is vital for users and decision-makers undertaking sustainable watershed protection in an environmentally safe and financially responsible manner to reduce the adverse impacts of climate change, consequently benefitting the Canadian public and protecting the environment. This research program will support 3 Doctoral, one Masters and ten Undergraduate students over the five-year duration of the project. The students will develop new water resources management technologies, which are not only in high demand in sustainable development but are also expected to result in jobs and income for Canada.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2020-04583
Name nom
Bonakdari, Hossein
Department département
Civil Engineering - Génie civil
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
31000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
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
4502
Research subject group en
Hydrology
Research subject group fr
Physical hydrology
Research subject en
Hydrologie
Research subject fr
Hydrologie physique
Application title
Integrated Water Resources Management for sustainable development using artificial intelligence approaches
Keyword
Artificial Intelligence; Forecasting; Hydraulics; Hydrology; Modeling; Monitoring; Operation; Soft computing; Time series; Water resources
Application summary
The main goal of this research program is to project the impacts of future climate change in terms of calculating and predicting water balance parameters in a watershed including precipitation, evapotranspiration and runoff. This research will advance scientific knowledge on hydrological system modelling, which is vital for decision-makers to assess vulnerable areas and formulate future adaptation strategies. This research will assist in the development of novel, practical and feasible methodologies to minimize potential negative environmental effects of climate change in urban and agricultural watersheds. Specifically, through objective 1 this research focuses on improving scientific methods of physically modelling a wide variety of hydrological systems with emphasis on evapotranspiration for appropriate watershed management using integrated artificial intelligence techniques. The second objective of this proposal is aimed at identifying the impact of climate change for both the calculation and prediction of watershed runoff by developing an automated method based on the new and enhanced integrated models developed in objective 1 to protect runoff-vulnerable areas. The main outcome of these findings will be enhanced accuracy of hydrological modelling outputs to overcome the shortcomings in previous studies; reliable approaches showing the relationship between various control variables and the process physics; and assess the uncertainty in the developed model prediction. This knowledge is vital for users and decision-makers undertaking sustainable watershed protection in an environmentally safe and financially responsible manner to reduce the adverse impacts of climate change, consequently benefitting the Canadian public and protecting the environment. This research program will support 3 Doctoral, one Masters and ten Undergraduate students over the five-year duration of the project. The students will develop new water resources management technologies, which are not only in high demand in sustainable development but are also expected to result in jobs and income for Canada.