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Hydrocarbons in the White Sea: Their inflow and transformation in the marine environment in different regions

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Abstract

Literary data have been used to assess the inflow of petroleum hydrocarbons (with river runoff, precipitation, wastewaters, sea transport, and at ice thawing) into different regions of the White Sea. The hydroecological CNPSi-model was used as an instrument to reproduce the annual dynamics of hydrocarbon concentrations at their parallel inflow and subsequent transformation in the waters of the nine White Sea regions (the bays of Kandalaksha, Onega, Dvina, and Mezen; the Solovetskie Islands; the deep-water part: Bassein, Gorlo, Voronka, and Chupa Bay). The calculations were based on normal annual values of monthly variations of water temperature, light intensity, and transparency, the morphometric parameters of the regions (water areas, mean depths, and water volumes) and water exchange between the regions and with the Barents Sea (calculated by a hydrodynamic model). The calculated concentrations of hydrocarbons, the biomasses and activity characteristics of hydrocarbon-oxidizing bacteria have been analyzed (their values were estimated for the 2-m surface water layer). The results of calculations were used to evaluate hydrocarbon balances for regions and the sea as a whole. The calculations demonstrate the balanced character of hydrocarbon fluxes, the balance discrepancy for the regions being <0.1–16.1%.

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Authors and Affiliations

  1. Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, 117997, Russia

    A. V. Leonov & O. V. Chicherina

  2. Russian Federal Research Institute of Fisheries and Oceanography, Moscow, 107140, Russia

    L. V. Semenyak

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  3. O. V. Chicherina
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Original Russian Text © A.V. Leonov, L.V. Semenyak, O.V. Chicherina, 2017, published in Vodnye Resursy, 2017, Vol. 44, No. 1, pp. 38–62.

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Leonov, A.V., Semenyak, L.V. & Chicherina, O.V. Hydrocarbons in the White Sea: Their inflow and transformation in the marine environment in different regions. Water Resour 44, 78–100 (2017). https://doi.org/10.1134/S0097807817010080

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