• Title/Summary/Keyword: 물기둥

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Annual cycles of nutrients and dissolved oxygen in a nutrient-rich temperate coastal bay, Chinhae Bay, Korea (영양염류가 풍부한 온대 해역 내만(한국, 진해만)에서의 영양염류와 용존산소의 연변화)

  • HONG, GI HOON;KIM, KYUNG TAE;PAE, SE JIN;KIM, SUK HYUN;LEE, SOO HYUNG
    • 한국해양학회지
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    • v.26 no.3
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    • pp.204-222
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    • 1991
  • The annual cycles of plant major nutrients and dissolved oxygen in a nutrients-rich semi-enclosed coastal inlet, chinhae Bay, of the southern coast of the Korean Peninsula are first presented. The water column of the bay is stratified during summer (April-late September) and well0mixed during winter (October-March). During the summer stratification period, dissolved oxygen contents exceed 400uM in the surface but diminish to less than 50uM in the near bottom waters, which often results in an anoxic environment in the inner part of Chinhae Bay. After the breakdown of the stratification in October, dissolved oxygen concentration remains undersaturated until February. The evidence of allochthonous input of N-nutrients throughout the year is readily seen in the water column: however. crude budget calculations show that the nutrients are efficiently utilized within the bay ecosystem, and that export of the nutrients from the bay to the shelf must be negligible. There is no sign of the enrichment of the nutrients in the water column. The eutrophication phenomenon sensu stricto is not observed in chinhae Bay. Using the standing stock of dissolved oxygen and estimation of the oxygen fluxes across the air-sea boundary, a benthic oxygen respiration rate during winter is estimated conservatively at 21-24 mmol Cm/SUP -2/d/SUP -1/. this oxygen respiration rate accounts for about 20% of the total phytoplankton production in winter.

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Estimation of Monthly Dissolved Inorganic Carbon Inventory in the Southeastern Yellow Sea (황해 남동부 해역의 월별 용존무기탄소 재고 추정)

  • KIM, SO-YUN;LEE, TONGSUP
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.27 no.4
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    • pp.194-210
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    • 2022
  • The monthly inventory of dissolved inorganic carbon (CT) and its fluxes were simulated using a box-model for the southeastern Yellow Sea, bordering the northern East China Sea. The monthly CT data was constructed by combining the observed data representing four seasons with the data adopted from the recent publications. A 2-box-model of the surface and deep layers was used, assuming that the annual CT inventory was at the steady state and its fluctuations due to the advection in the surface box were negligible. Results of the simulation point out that the monthly CT inventory variation between the surface and deep box was driven primarily by the mixing flux due to the variation of the mixed layer depth, on the scale of -40~35 mol C m-2 month-1. The air to sea CO2 flux was about 2 mol C m-2 yr-1 and was lower than 1/100 of the mixing flux. The biological pump flux estimated magnitude, in the range of 4-5 mol C m-2 yr-1, is about half the in situ measurement value reported. The CT inventory of the water column was maximum in April, when mixing by cooling ceases, and decreases slightly throughout the stratified period. Therefore, the total CT inventory is larger in the stratified period than that of the mixing period. In order to maintain a steady state, 18 mol C m-2 yr-1 (= 216 g C m-2 yr-1), the difference between the maximum and minimum monthly CT inventory, should be transported out to the East China Sea. Extrapolating this flux over the entire southern Yellow Sea boundary yields 4 × 109 g C yr-1. Conceptually this flux is equivalent to the proposed continental shelf pump. Since this flux must go through the vast shelf area of the East China Sea before it joins the open Pacific waters the actual contribution as a continental shelf pump would be significantly lower than reported value. Although errors accompanied the simple box model simulation imposed by the paucity of data and assumptions are considerably large, nevertheless it was possible to constrain the relative contribution among the major fluxes and their range that caused the CT inventory variations, and was able to suggest recommendations for the future studies.