Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/22991
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Title

Reconstruction of subgrid-scale topographic variability and its effect upon the spatial structure of three-dimensional river flow

AuthorsCasas Planes, M. A.; Lane, S. N.; Benito, Gerardo CSIC ORCID ; Whiting, P. J.
KeywordsSubgrid-scale
Spatial structure
River flow
Issue Date18-Mar-2010
PublisherAmerican Geophysical Union
CitationWater Resources Research 46:1-17 (2010)
AbstractA new approach to describing the associated topography at different scales in computational fluid dynamic applications to gravel bed rivers was developed. Surveyed topographic data were interpolated, using geostatistical methods, into different spatial discretizations, and grain‐size data were used with fractal methods to reconstruct the microtopography at scales finer than the measurement (subgrid) scale. The combination of both scales of topography was then used to construct the spatial discretization of a three‐dimensional finite volume Computational Fluid Dynamics (CFD) scheme where the topography was included using a mass flux scaling approach. The method was applied and tested on a 15 m stretch of Solfatara Creek, Wyoming, United States, using spatially distributed elevation and grain‐size data. Model runs were undertaken for each topography using a steady state solution. This paper evaluates the impact of the model spatial discretization and additional reconstructed‐variability upon the spatial structure of predicted three‐dimensional flow. The paper shows how microtopography modifies the spatial structure of predicted flow at scales finer than measurement scale in terms of variability whereas the characteristic scale of predicted flow is determined by the CFD scale. Changes in microtopography modify the predicted mean velocity value by 3.6% for a mesh resolution of 5 cm whereas a change in the computational scale modifies model results by 60%. The paper also points out how the spatial variability of predicted velocities is determined by the topographic complexity at different scales of the input topographic model.
Description17 pages, figures, and tables statistics.
Publisher version (URL)http://dx.doi.org/10.1029/2009WR07756.2010
URIhttp://hdl.handle.net/10261/22991
DOI10.1029/2009WR07756.2010
ISSN0043-1397
Appears in Collections:(IRN) Artículos




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