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Numerical modeling of the spring thermal bar and pollutant transport in a large lake

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journal contribution
posted on 2016-06-22, 10:57 authored by Bair O. Tsydenov, Anthony Kay, Alexander V. Starchenko
The spring riverine thermal bar phenomenon is investigated numerically on an example of Lake Baikal, and the spread of pollutants coming from the Selenga River is forecast using the 2.5 D non-hydrostatic model in the Boussinesq approximation. This hydrodynamic model takes into account the diurnal variability of the heat fluxes on the lake surface and the effects of wind and the Earth's rotation. The results of numerical modeling show that the variability of the total heat flux over 24 h plays a significant role in the variation of the thermal bar movement rate that contributes to the rapid mixing of impurities entering with river water.

Funding

This work was supported by the Ministry of Education and Science of the Russian Federation (no. 5.628.2014/K ).

History

School

  • Science

Department

  • Mathematical Sciences

Published in

Ocean Modelling

Volume

104

Pages

73 - 83 (11)

Citation

TSYDENOV, B., KAY, A. and STARCHENKO, A., 2016. Numerical modeling of the spring thermal bar and pollutant transport in a large lake. Ocean Modelling, 104, pp. 73–83.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This paper was accepted for publication in the journal Ocean Modelling and the definitive published version is available at http://dx.doi.org/10.1016/j.ocemod.2016.05.009

ISSN

1463-5003

Language

  • en