Numerical modelling of pollutant propagation in Lake Baikal during the spring thermal bar

被引:10
|
作者
Tsydenov, Bair O. [1 ]
Kay, Anthony [2 ]
Starchenko, Alexander V. [1 ]
机构
[1] Tomsk State Univ, Computat Geophys Lab, Tomsk 634050, Russia
[2] Univ Loughborough, Dept Math Sci, Loughborough LE11 3TU, Leics, England
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2015 COMPUTATIONAL SCIENCE AT THE GATES OF NATURE | 2015年 / 51卷
关键词
pollutant transport; thermal bar; numerical modelling; Lake Baikal; Selenga River;
D O I
10.1016/j.procs.2015.05.373
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, the phenomenon of the thermal bar in Lake Baikal and the propagation of pollutants from the Selenga River are studied with a nonhydrostatic mathematical model. An unsteady flow is simulated by solving numerically a system of thermal convection equations in the Boussinesq approximation using second-order implicit difference schemes in both space and time. To calculate the velocity and pressure fields in the model, an original procedure for buoyant flows, SIMPLED, which is a modification of the well-known Patankar and Spalding's SIMPLE algorithm, has been developed. The simulation results have shown that the thermal bar plays a key role in propagation of pollution in the area of Selenga River inflow into Lake Baikal.
引用
收藏
页码:2658 / 2662
页数:5
相关论文
共 50 条
  • [41] Co-occurrence patterns between phytoplankton and bacterioplankton across the pelagic zone of Lake Baikal during spring
    Mikhailov, Ivan S.
    Bukin, Yuri S.
    Zakharova, Yulia R.
    Usoltseva, Marina V.
    Galachyants, Yuri P.
    Sakirko, Maria V.
    Blinov, Vadim V.
    Likhoshway, Yelena V.
    JOURNAL OF MICROBIOLOGY, 2019, 57 (04) : 252 - 262
  • [42] Co-occurrence Networks Among Bacteria and Microbial Eukaryotes of Lake Baikal During a Spring Phytoplankton Bloom
    Ivan S. Mikhailov
    Yulia R. Zakharova
    Yuri S. Bukin
    Yuri P. Galachyants
    Darya P. Petrova
    Maria V. Sakirko
    Yelena V. Likhoshway
    Microbial Ecology, 2019, 77 : 96 - 109
  • [43] Co-occurrence patterns between phytoplankton and bacterioplankton across the pelagic zone of Lake Baikal during spring
    Ivan S. Mikhailov
    Yuri S. Bukin
    Yulia R. Zakharova
    Marina V. Usoltseva
    Yuri P. Galachyants
    Maria V. Sakirko
    Vadim V. Blinov
    Yelena V. Likhoshway
    Journal of Microbiology, 2019, 57 : 252 - 262
  • [44] A numerical study of the thermal bar in shallow water during the autumn cooling
    Tsydenov, Bair O.
    JOURNAL OF GREAT LAKES RESEARCH, 2019, 45 (04) : 715 - 725
  • [45] Numerical Modeling of the Effect of Inflow Water Mineralization in the Dynamics of the Autumnal Thermal Bar in Kamloops Lake
    B. O. Tsydenov
    Moscow University Physics Bulletin, 2018, 73 : 435 - 440
  • [46] Numerical Modeling of the Effect of Inflow Water Mineralization in the Dynamics of the Autumnal Thermal Bar in Kamloops Lake
    Tsydenov, B. O.
    MOSCOW UNIVERSITY PHYSICS BULLETIN, 2018, 73 (04) : 435 - 440
  • [47] Correction to: Co-occurrence Networks Among Bacteria and Microbial Eukaryotes of Lake Baikal During a Spring Phytoplankton Bloom
    Ivan S. Mikhailov
    Yulia R. Zakharova
    Yuri S. Bukin
    Yuri P. Galachyants
    Darya P. Petrova
    Maria V. Sakirko
    Yelena V. Likhoshway
    Microbial Ecology, 2019, 77 : 558 - 558
  • [48] A Numerical Model of Spring Thermal Bar Development and Energy Exchange between a Water Body and the Atmosphere at Night
    Blokhina, N. S.
    WATER RESOURCES, 2014, 41 (04) : 379 - 384
  • [49] A numerical model of spring thermal bar development and energy exchange between a water body and the atmosphere at night
    N. S. Blokhina
    Water Resources, 2014, 41 : 379 - 384
  • [50] Numerical modelling of the Grand River plume in Lake Erie during unstratified period
    He, Cheng
    Rao, Yerubandi R.
    Skafel, Michael G.
    Howell, Todd
    WATER QUALITY RESEARCH JOURNAL OF CANADA, 2006, 41 (01): : 16 - 23