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Fazlul Karim, Mohammed Ali Armin, David Ahmedt-Aristizabal, Lachlan Tychsen-Smith and Lars Petersson
Machine learning (also called data-driven) methods have become popular in modeling flood inundations across river basins. Among data-driven methods, traditional machine learning (ML) approaches are widely used to model flood events, and recently deep lea...
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Zaved Khan, Ataur Rahman and Fazlul Karim
Reducing uncertainty in design flood estimates is an essential part of flood risk planning and management. This study presents results from flood frequency estimates and associated uncertainties for five commonly used probability distribution functions, ...
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Fazlul Karim, Mohammed Mainuddin, Masud Hasan and Mac Kirby
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Md Masud Hasan, Barry F. W. Croke and Fazlul Karim
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Fazlul Karim, Masud Hasan, Steve Marvanek
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Understanding the nature of frequent floods is important for characterising channel morphology, riparian and aquatic habitat, and informing river restoration efforts. This paper presents results from an analysis on frequency estimates of low magnitude fl...
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