Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithms-Reference-Cited by-同舟云学术

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Three-dimensional realizations of flood flow in large-scale rivers using the neural fuzzy-based machine-learning algorithms

Published:2022-10 Issue: Volume:246 Page:105611
ISSN:0045-7930
Container-title:Computers & Fluids
language:en
Short-container-title:Computers & Fluids

Author:

Zhang Zexia^ORCID,Limaye Ajay B.,Khosronejad Ali^ORCID

Funder

National Science Foundation Directorate for Geosciences

Office of Energy Efficiency and Renewable Energy

National Science Foundation

Water Power Technologies Office

U.S. Department of Energy

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference64 articles.

1. Effect of inlet turbulent boundary conditions on scour predictions of coupled LES and Morphodynamics in a field-scale river: bankfull flow conditions;Khosronejad;J Hydraul Eng,2020

2. Fully coupled free-surface flow and sediment transport modelling of flash floods in a desert stream in the Mojave Desert, California;Khosronejad;Hydrol Process,2019

3. High-fidelity numerical modeling of the Upper Mississippi River under extreme flood condition;Khosronejad;Adv Water Resour,2016

4. Large-eddy simulation of flash flood propagation and sediment transport in a dry-bed desert stream;Khosronejad;Int J Sediment Res,2020

5. Large-eddy simulation of the Mississippi River under base-flow condition: hydrodynamics of a natural diffluence-confluence region;Le;J Hydraul Res,2019

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