Some generalizations based on stratification and vertical mixing in meromictic Lake Shira, Russia, in the period 2002-2009


Тип публикации: статья из журнала

Год издания: 2010

Идентификатор DOI: 10.1007/s10452-010-9328-6

Ключевые слова: Meromixis, Mixolimnion, Oxic-anoxic interface, Thermocline, Weather conditions, 1-D model, brackish water, meromictic lake, numerical model, one-dimensional modeling, overturn, physicochemical property, salinity, seasonality, stratification, temperate environment, vertical mixing, water temperature, weather, Khakassia, Lake Shira, Russian Federation

Аннотация: In a brackish, temperate, 24-m-deep Lake Shira, the profiles of salinity, temperature, oxygen and sulfide concentrations were measured on a seasonal basis from 2002 to 2009. The lake was shown to be meromictic with autumnal overturn restricted to mixolimnion. The depth of mixolimnion and position of oxic-anoxic interface varied annПоказать полностьюually. The spring mixing processes contribute to the formation of mixolimnion in autumn. The exceptionally windy spring of 2007 caused the deepening of mixolimnion in the winter of 2008. The winter position of oxic-anoxic interface was affected by the position of lower boundary of mixolimnion in all winters. The salinity in the winter mixolimnion increased compared with the autumn because of freezing out of salts from the upper water layers meters during ice formation and their dissolution in water below. The profiles of salinity and temperature were simulated by the mathematical 1-D model of temperature and salinity conditions taking into account ice formation. The simulated profiles generally coincided with the measured ones. The coincidence implies that simplified one-dimensional model can be applied to roughly describe salinity and density profiles and mixing behavior of Lake Shira.

Ссылки на полный текст



Выпуск журнала: Vol. 44, Is. 3

Номера страниц: 485-496

ISSN журнала: 13862588

Место издания: DORDRECHT

Издатель: SPRINGER


  • Rogozin D.Y. (Siberian Federal University)
  • Degermendzhy A.G. (Siberian Federal University)
  • Genova S.N. (Institute of Computational Modeling of Siberian Branch of Russian Academy of Sciences)
  • Gulati R.D. (The Netherlands Institute of Ecology,Center for Aquatic Ecology)