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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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Neil S. Grigg
A comprehensive assessment of flood hazards will necessitate a step-by-step analysis, starting with hydrometeorological examinations of runoff and flow, followed by an assessment of the vulnerability of those at risk. Although bodies of knowledge about t...
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Godwin Erima, Isa Kabenge, Antony Gidudu, Yazidhi Bamutaze and Anthony Egeru
This study was conducted to map flood inundation areas along the Manafwa River, Eastern Uganda using HECRAS integrated with the SWAT model. The study mainly sought to evaluate the predictive capacity of SWAT by comparisons with streamflow observations an...
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Stanford Gibson, Leonardo Zandonadi Moura, Cameron Ackerman, Nikolas Ortman, Renato Amorim, Ian Floyd, Moosub Eom, Calvin Creech and Alejandro Sánchez
The Santa Barbara post-wildfire debris flows and the Brumadinho tailing-dam failure were two of the most catastrophic flood events of the late 2010s. Both these events carried so much solid-phase material, that classic, clear-water, flood risk approaches...
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Tarekegn Dejen Mengistu, Tolera Abdisa Feyissa, Il-Moon Chung, Sun Woo Chang, Mamuye Busier Yesuf and Esayas Alemayehu
Regional information on stream discharge is needed in order to improve flood estimates based on the limited data availability. Regional flood estimation is fundamental for designing hydraulic structures and managing flood plains and water resource projec...
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Arslan Mahmood, Jing-Cheng Han, Muhammad Wajid Ijaz, Altaf Ali Siyal, Muhammad Ahmad and Maryam Yousaf
Impacts of climate change and human-made interventions have altered the fluvial regime of most rivers. The increasingly uncertain floods would further threaten the flow delivery system in regions such as Pakistan. In this study, an alluvial reach of the ...
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Antonio Annis and Fernando Nardi
Hydrologic/hydraulic models for flood risk assessment, forecasting and hindcasting have been greatly supported by the rising availability of increasingly accurate and high-resolution Earth Observation (EO) data. EO-based topographic and hydrologic open g...
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Salman A. M. Fadl-Elmola, Cristian Moisescu Ciocan and Ioana Popescu
Smoothed particle hydrodynamics (SPH) is a Lagrangian mesh free particle method which has been developed and widely applied to different areas in engineering. Recently, the SPH method has also been used to solve the shallow water equations, resulting in ...
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Manoj K. Jha and Sayma Afreen
The frequency and severity of floods have been found to increase in recent decades, which have adverse effects on the environment, economics, and human lives. The catastrophe of such floods can be confronted with the advance prediction of floods and reli...
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Malcolm L. Spaulding, Annette Grilli, Chris Damon, Teresa Crean and Grover Fugate
STORMTOOLS coastal environmental risk index (CERI) was applied to communities located along the southern coast of Rhode Island (RI) to determine the risk to structures located in the flood plain. CERI uses estimates of the base flood elevation (BFE), exp...
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