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[Text] / D.Y. Rogozin [et al.] // Aquat. Ecol. - 2010. - Vol. 44, Is. 3. - pp. 485-496, DOI 10.1007/s10452-010-9328-6. - Cited References: 27. - We thank Mr. Fyodor Kozlov for assistance in winter lake surveys, Dr. Alexander Tolomeev and Dr. Egor Zadereev (Institute of Biophysics SD RAS) for field data of August 2006, Dr. Galina Kalacheva (Institute of Biophysics SD RAS) for ash content determination and all others who helped us in expeditions. We are also very grateful to Dr. Wolf Mooij (Netherlands Institute of Ecology) and two anonymous reviewers for valuable comments and advice on article preparation. This work was partly supported by the Netherlands Organization for Scientific Research, Grant 047.011.2004.030, the Russian Foundation for Basic Research, Grants No. 09-04-01114-a and 09-05-00915-a, by Siberian Branch of Russian Academy of Sciences, Integrative Project No. 95 and joint Taiwan-Siberian Project No. 149, by Russian Academy of Sciences, Program No. 23.15, by award No. PG07-002-1 of the Ministry of Education and Sciences of Russian Federation and U.S. Civilian Research & Development Foundation for the Independent States of the Former Soviet Union (CRDF). . - ISSN 1386-2588РУБ Ecology + Limnology + Marine & Freshwater Biology

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 annually. 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.


Доп.точки доступа:
Rogozin, D.Y.; Genova, S.N.; Генова, Светлана Николаевна; Gulati, R.D.; Degermendzhy, A.G.

/ V. M. Belolipetskii [et al.] // J. Sib. Fed. Univ. Math. Phys. - 2015. - Vol. 8, Is. 2. - P148-156 . - ISSN 1997-1397
Аннотация: The problem of linear baroclinic seiches in rectangular basin is considered. It is supposed that density is stratified into three layers. Internal waves are not taken into account. It is shown that one-dimensional model allows one to determine the positions of thermocline and halocline. The model also allows one to determine the values of temperature and salinity in the surface and bottom layers with satisfactory accuracy. Fluctuations of temperature and salinity in pycnocline are estimated by calculating parameters of baroclinic seiches. The results of calculations and measurements in Lake Shira are compared. © Siberian Federal University. All rights reserved.

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Держатели документа:
Institute of Computational Modelling SB RAS, Akademgorodok, 50/44, Krasnoyarsk, Russian Federation
Institute of Mathematics and Computer Science, Siberian Federal University, Svobodny, 79, Krasnoyarsk, Russian Federation
Institute of Biophysics SB RAS, Akademgorodok, 50/50, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Belolipetskii, V.M.; Белолипецкий, Виктор Михайлович; Genova, S.N.; Генова, Светлана Николаевна; Degermendzhy, A.G.; Tolomeyev, A.P.

/ O. S. Volodko, L. A. Kompaniets, L. Gavrilova // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2018. - Vol. 18: 18th International Multidisciplinary Scientific Geoconference, SGEM 2018 (2 July 2018 through 8 July 2018, ) Conference code: 142896, Is. 3.1. - P251-258, DOI 10.5593/sgem2018/3.1/S12.033 . -
Аннотация: The empirical orthogonal functions method is widely used for the study of the hydrophysical characteristics in meteorology and oceanography, for example for the analysis of ocean surface currents in the North Carolina and the distribution of horizontal velocities in the Shira Lake. This method is also applied to study the distribution temperatures with depth in the Pacific Ocean and to analyze sea surface temperature in the Western North Atlantic. The empirical orthogonal functions method gives us an optimal modal decomposition of the data and allows us to identify particular modes with relevant physical processors. The empirical orthogonal functions analysis used in this study was performed to measure temperature and vertical velocity in Lake Shira (Southern Siberia, Russia) in the summer of 2014 and 2015. The measurements of currents were recorded using Acoustic Doppler Current Profilers 600 kHz and 1200 kHz at two points. The measurements of temperature were recorded by termistor sensors distributing with depth at ten locations. The first and second empirical orthogonal modes for temperature account for 70-90 % of the total energy. They were used to identify the periods of summer heating and the location of the thermocline. The first mode for surface temperature accounts for about 96 % of the total energy and corresponds to surface temperature gradients. The first mode for vertical velocities accounts for about 10 % of the total energy and the analysis of the corresponding modal coefficient makes it possible to determine the periods when water moves up or down vertically. © SGEM2018 All Rights Reserved.

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Держатели документа:
ICM SB RAS, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Volodko, O. S.; Kompaniets, L. A.; Gavrilova, L.