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  • Presentation | EP31E: Fluvial Reorganization: Linking Mechanics, Morphology, and Biological Impacts on Reach and Network Scale I Poster
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  • EP31E-1712: Quantifying Turbulence Representation and Information Loss in Field-Scale CFD Models Using Grid Refinement Sensitivity in the Colorado River
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  • Board 1712‚ Hall EFG (Poster Hall)
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Author(s):
Laura Alvarez, University of Texas at El Paso (First Author, Presenting Author)


Simulating river turbulence accurately is important for understanding water flow, sediment transport, and habitat conditions. This study focuses on how the size of the grid, or resolution, used in computer models affects how well turbulence is captured in a 1-kilometer section of the Colorado River in Marble Canyon, Arizona. Using a modeling technique called Detached Eddy Simulation (DES), we tested seven different grid sizes to see how much detail is lost when the model grid is coarser.




We used several tools to evaluate how well each grid size captured key flow features like swirling eddies, shear layers, and return currents. These tools included turbulence energy spectra, statistical errors, information theory metrics, and wavelet analysis to study the flow in both time and space.




We found that medium and fine grid sizes were good enough to capture important turbulence features, while coarser grids showed noticeable information loss. Interestingly, beyond a certain grid resolution, making the model even finer didn’t add much new information, but increased computational costs.




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