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    Numerical modeling of vertical stratification of Lake Shira in summer
[Text] / P.V. Belolipetsky [et al.] // Aquat. Ecol. - 2010. - Vol. 44, Is. 3. - pp. 561-570, DOI 10.1007/s10452-010-9330-z. - Cited References: 35. - The study was financially supported by the Netherlands Organization for Scientific Research (NWO), Grant 047.011.2004.030, RFBR, Grant 05-05-89002; RFBR, Grant 07-01-00153; Multidisciplinary integration project of SB RAS No. 95. . - ISSN 1386-2588
РУБ Ecology + Limnology + Marine & Freshwater Biology

Аннотация: A one-dimensional numerical model and a two-dimensional numerical model of the hydrodynamic and thermal structure of Lake Shira during summer have been developed, with several original physical and numerical features. These models are well suited to simulate the formation and dynamics of vertical stratification and provide a basis for an ecological water-quality model of the lake. They allow for the quantification of the vertical mixing processes that govern not only the thermal structure but also the nutrient exchange, and more generally, the exchange of dissolved and particulate matter between different parts of the lake. The outcome of the calculations has been compared with the field data on vertical temperature and salinity distributions in Lake Shira. Lake Shira is meromictic and exhibits very stable annual stratification. The stratification is so stable because of the high salinity of the water. If the water in Lake Shira were fresh and other parameters (depth, volume, and meteorology) were the same, as now, the lake would be mixed in autumn. Using the newly developed models and using common meteorological parameters, we conclude that Lake Shira will remain stratified in autumn as long as the average salinity is higher than 3%.


Доп.точки доступа:
Belolipetsky, P.V.; Белолипецкий, Павел Викторович; Belolipetskii, V.M.; Белолипецкий, Виктор Михайлович; Genova, S.N.; Генова, Светлана Николаевна; Mooij, W.M.

    Spatial distribution of chlorophyll concentration seasonal dynamics types in the ocean based on the autocorrelation analysis of SeaWiFS data
[Text] / A. Shevyrnogov, G. Vysotskaya // Adv. Space Res. - 2006. - Vol. 38, Is. 10. - P. 2176-2181, DOI 10.1016/j.asr.2006.03.034. - Cited References: 26 . - ISSN 0273-1177
РУБ Astronomy & Astrophysics + Geosciences, Multidisciplinary + Meteorology & Atmospheric Sciences

Аннотация: Seasonal dynamics of phytopigment concentrations in the ocean is one of the key factors indicating the types and intensity of hydrobiological exchange processes in the ocean surface layer. Thanks to the efficient operation of the SeaWiFS equipment for the last 7 years we have managed to carry out statistical analysis of image time series, which is necessary for estimation of reliability of investigations of oscillatory hydrobiological processes on a global scale. Using the autocorrelation method, we revealed a pronounced heterogeneity of the types of seasonal dynamics in the ocean. Statistically significant seasonal dynamics of phytopigment concentrations exists only at 19% of the area of the Global Ocean. On 51% of the area seasonal dynamics is disturbed essentially so, that becomes statistically insignificant and is absent at 30%. The most interesting feature of the pattern obtained was the diversity of the seasonal dynamics of chlorophyll concentration under similar climatic conditions. Another interesting feature of such data presentation is that two types of seasonal dynamics - yearly and half-yearly - were defined. The detected zonality will provide the basis for more efficient development and application of ecological modeling, taking into account real-life hydrobiological and hydrological conditions. (C) 2006 Published by Elsevier Ltd on behalf of COSPAR.

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Доп.точки доступа:
Shevyrnogov, A.; Vysotskaya, G.; Высоцкая, Галина Степановна