Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River

Coupling HEC-RAS and AI for River Morphodynamics Assessment Under Changing Flow Regimes: Enhancing Disaster Preparedness for the Ottawa River

Despite significant advancements in flood forecasting using machine learning (ML) algorithms, recent events have revealed hydrological behaviors deviating from historical model development trends. The record-breaking 2019 flood in the Ottawa River basin, which exceeded the 100-year flood threshold,...

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Bibliographic Details
Main Authors: Mohammad Uzair Anwar Qureshi, Afshin Amiri, Isa Ebtehaj, Silvio José Guimere, Juraj Cunderlik, Hossein Bonakdari
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Hydrology
Subjects:
Next-Gen Method of Data Handling (Next-Gen GMDH)
flood management
water resources management
numerical modeling
flow rate
Online Access:https://www.mdpi.com/2306-5338/12/2/25
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