Integrated Modeling of Short-Term Flood Forecasting in the Ottawa River

Hamza Ousoukhman

Master's thesis (2021)

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Abstract

Floods are one of the most catastrophic natural disasters in Canada and around the world that can cause loss of life and damages to properties and infrastructures. Saguenay flood (1996), southern Alberta flood (2013), and Ottawa floods (2017, 2019), are a few examples of Canadian floods with tremendous socio-economic impacts. Flood forecasting and predicting its characteristics (e.g., its magnitude and extent) has an important role in preventing and mitigating such flood impacts. Particularly, short-term forecasting is crucial for early warning systems and emergency response to floods. This study presents an integrated hydraulic-hydrologic modeling system for flood prediction. In this system, the Delft3D two-dimensional hydrodynamic model is connected with a HEC-HMS hydrologic model and observation data to provide an automatic exchange of data and results. Delft3D and HEC-HMS were chosen for this study because they were widely used and provided good results. In addition, they were applied in several flood forecasting studies. The prediction weather data and watershed characteristics provide input to the hydrological model to predict streamflow conditions, which are then automatically fed into the hydrodynamic model. The hydrodynamic model simulates the flood characteristics such as water level, 2D depth-averaged velocity field, and flood extent.

Program:
Génie civil
Academic/Research Directors :
Institution:
Polytechnique Montréal
OAI:
oai:publications.polymtl.ca:9910
ORCID
Date Deposited:
27 Apr 2022 08:52
Last Modified:
08 Oct 2026 16:53
Cite in APA 7:
Ousoukhman, H. (2021). Integrated Modeling of Short-Term Flood Forecasting in the Ottawa River [Master's thesis, Polytechnique Montréal]. PolyPublie. https://publications.polymtl.ca/9910/

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