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Estimation of Transverse Mixing Coefficients in Shallow, Gravel-Bedded Rivers

Author(s): L. Gond; E. Mignot; J. Le Coz; L. Kateb

Linked Author(s): Jérôme Le Coz

Keywords: No Keywords

Abstract: Transverse mixing coefficients are key parameters for predicting pollutant dispersion in rivers. While most studies deal with river reaches considered homogeneous, the literature review indicates that shallow, gravel-bedded rivers with a longitudinally-varied bed morphology are still poorly documented. The motivation of the present work is that the transverse mixing coefficient in rivers with varied hydraulic parameters could be estimated with a succession of coefficients of more homogeneous sub-reaches. This work applies a 1D-diffusion model to estimate these local transverse mixing coefficients from several local injections. Slug injections of Rhodamine WT are performed at various locations of the Durance River, France. Cross-profiles of tracer concentration at selected cross-sections delineating as homogeneous as possible sub-reaches are measured using fluorometers located near the bed. In addition, hydraulic data are derived from ADCP measurements. Best-fitting solutions of the 1D-diffusion model against the measurements suggest substantial variations of the transverse mixing coefficient between consecutive sub-reaches.

DOI:

Year: 2020

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