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River Flow 2020 Estimation of the transverse mixing coefficients in shallow gravel-bedded rivers

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 indi-cates 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 coeffi-cient in rivers with varied hydraulic parameters could be estimated with a succession of coeffi-cients 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 Rho-damine 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 con-secutive sub-reaches.

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Dates and versions

cea-02972575 , version 1 (20-10-2020)

Identifiers

  • HAL Id : cea-02972575 , version 1

Cite

L. Gond, Emmanuel Mignot, J. Le Coz, L. Kateb. River Flow 2020 Estimation of the transverse mixing coefficients in shallow gravel-bedded rivers. RIVERFLOW 2020 - 10th Conference on Fluvial Hydraulics, IAHR (International Association for Hydro-Environment Engineering and Research), Jul 2020, DELFT, Netherlands. ⟨cea-02972575⟩
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