Numerical Estimations of Desalinated Seawater Modification Using Waters of the Laptev Sea Shelf as an Example
- Authors: Dubinina E.O.1, Miroshnikov A.Y.1, Kossova S.A.1, Flint M.V.2
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Affiliations:
- Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry, Russian Academy of Sciences
- Shirshov Institute of Oceanology, Russian Academy of Sciences
- Issue: Vol 484, No 1 (2019)
- Pages: 109-113
- Section: Oceanology
- URL: https://journals.rcsi.science/1028-334X/article/view/194573
- DOI: https://doi.org/10.1134/S1028334X19010264
- ID: 194573
Cite item
Abstract
Continental runoff, inflowing to Arctic waters, is estimated by the use of isotope and hydrophysical tracers. This is quite a complicated task, because desalinated waters freeze. The existing model of three-component mixing [1] deals only with the input of melted sea ice, thus limiting its utility in zones where ice is intensely formed. A new mixing-modification model is proposed. The effect of the model is illustrated by data from the Laptev Sea shelf, which is affected by the Lena River runoff. Modification of these waters is manifested by an excessive increase in salinity in relation to the oxygen isotope composition, which is determined by the mixing of waters of the Lena River with waters of the Arctic basin. The model considers the water modification owing to the formation and removal of ice.
About the authors
E. O. Dubinina
Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry, Russian Academy of Sciences
Author for correspondence.
Email: elenadelta@gmail.com
Russian Federation, Moscow, 119017
A. Yu. Miroshnikov
Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry, Russian Academy of Sciences
Email: elenadelta@gmail.com
Russian Federation, Moscow, 119017
S. A. Kossova
Institute of Geology of Ore Deposits, Petrography, Mineralogy, and Geochemistry, Russian Academy of Sciences
Email: elenadelta@gmail.com
Russian Federation, Moscow, 119017
M. V. Flint
Shirshov Institute of Oceanology, Russian Academyof Sciences
Email: elenadelta@gmail.com
Russian Federation, Moscow, 117218
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