Numerical simulations on mixing of passive scalars in river confluences

The study deals with the mixing of passive scalars (such as pollutants) in open-channel confluences when the two inflows exhibit different concentrations. The dispersion of such passive scalars is investigated through the analysis of the processes enhancing the mixing in the confluence in order to e...

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Main Authors: Pouchoulin Sébastien, Mignot Emmanuel, Rivière Nicolas, Le Coz Jérôme
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20184005019
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spelling doaj-f4fabcec3833469c8948a7da77b364252021-02-02T06:31:41ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01400501910.1051/e3sconf/20184005019e3sconf_riverflow2018_05019Numerical simulations on mixing of passive scalars in river confluencesPouchoulin SébastienMignot EmmanuelRivière NicolasLe Coz JérômeThe study deals with the mixing of passive scalars (such as pollutants) in open-channel confluences when the two inflows exhibit different concentrations. The dispersion of such passive scalars is investigated through the analysis of the processes enhancing the mixing in the confluence in order to estimate the length for complete mixing Lm in the downstream branch. The aim of this study is then to establish a correlation between this length for complete mixing Lm and characteristics of the confluence, namely its angle and two hydrodynamic parameters that are the momentum ratio M* of the inflows and the width-to-depth ratio of the downstream branch b/h. In this work, the flow in the confluence is numerically simulated by RANS calculation coupled with the advection-diffusion equation at field scale, i.e. with Reynolds and Froude numbers corresponding to real rivers (Re = 107 and Fr=0.1). The role of other parameters such as bed discordance or bed forms... is not addressed here. The numerical results highlight that the mixing in the confluence and its downstream branch, is enhanced by the presence of secondary currents that are themselves strongly affected by the characteristics of the confluence. The results aim at getting an operative empirical law linking the geometric and hydrodynamic parameters of the confluence with Lm.https://doi.org/10.1051/e3sconf/20184005019
collection DOAJ
language English
format Article
sources DOAJ
author Pouchoulin Sébastien
Mignot Emmanuel
Rivière Nicolas
Le Coz Jérôme
spellingShingle Pouchoulin Sébastien
Mignot Emmanuel
Rivière Nicolas
Le Coz Jérôme
Numerical simulations on mixing of passive scalars in river confluences
E3S Web of Conferences
author_facet Pouchoulin Sébastien
Mignot Emmanuel
Rivière Nicolas
Le Coz Jérôme
author_sort Pouchoulin Sébastien
title Numerical simulations on mixing of passive scalars in river confluences
title_short Numerical simulations on mixing of passive scalars in river confluences
title_full Numerical simulations on mixing of passive scalars in river confluences
title_fullStr Numerical simulations on mixing of passive scalars in river confluences
title_full_unstemmed Numerical simulations on mixing of passive scalars in river confluences
title_sort numerical simulations on mixing of passive scalars in river confluences
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description The study deals with the mixing of passive scalars (such as pollutants) in open-channel confluences when the two inflows exhibit different concentrations. The dispersion of such passive scalars is investigated through the analysis of the processes enhancing the mixing in the confluence in order to estimate the length for complete mixing Lm in the downstream branch. The aim of this study is then to establish a correlation between this length for complete mixing Lm and characteristics of the confluence, namely its angle and two hydrodynamic parameters that are the momentum ratio M* of the inflows and the width-to-depth ratio of the downstream branch b/h. In this work, the flow in the confluence is numerically simulated by RANS calculation coupled with the advection-diffusion equation at field scale, i.e. with Reynolds and Froude numbers corresponding to real rivers (Re = 107 and Fr=0.1). The role of other parameters such as bed discordance or bed forms... is not addressed here. The numerical results highlight that the mixing in the confluence and its downstream branch, is enhanced by the presence of secondary currents that are themselves strongly affected by the characteristics of the confluence. The results aim at getting an operative empirical law linking the geometric and hydrodynamic parameters of the confluence with Lm.
url https://doi.org/10.1051/e3sconf/20184005019
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AT mignotemmanuel numericalsimulationsonmixingofpassivescalarsinriverconfluences
AT rivierenicolas numericalsimulationsonmixingofpassivescalarsinriverconfluences
AT lecozjerome numericalsimulationsonmixingofpassivescalarsinriverconfluences
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