1999 Fiscal Year Final Research Report Summary
Title of Project : Research on Advancement of Numerical Simulation of Oceanophysical Environment in Ocean Engineering
| Project/Area Number |
10555344
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 展開研究 |
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| Research Field |
海洋工学
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| Research Institution | The University of Tokyo |
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Principal Investigator |
FUJINO Masataka Graduate School of Frontier Sciences, University of Tokyo, Professor, 大学院・新領域創成科学研究科, 教授 (10010787)
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| Co-Investigator(Kenkyū-buntansha) |
KINOSHITA Tsuguki Graduate School of Frontier Sciences, University of Tokyo, Research Associate, 大学院・新領域創成科学研究科, 助手
TABETA Shigeru Graduate School of Frontier Sciences, Associate Professor, 大学院・新領域創成科学研究科, 助教授 (40262406)
KAGEMOTO Hiroshi Graduate School of Frontier Sciences, University of Tokyo, Professor, 大学院・新領域創成科学研究科, 教授 (40214275)
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| Project Period (FY) |
1998 – 1999
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| Keywords | Sea Water Exchange / Huge Floating Offshore Structures / Numerical Simulation / Ecosystem Model |
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| Research Abstract |
This group of university researchers has engaged in developing numerical simulation program of predicting oceanophysical effects of a huge floating offshore structure (HFOS) to the marine environment of its surrounding sea water. The main aim of the present research project is to modify the above-stated simulation program so that not only oceanophysical effects but also biological and chemical effects of an HFOS might be evaluated simultaneously ; in addition to the sea water movement, water temperature and salinity, chlorophyll-a and dissolved oxygen (DO) in the sea water are predicted by numerical simulation, and compared with observation data measured in the close vicinity of Mega-Float structure moored off Oppama in Tokyo Bay.
Some conclusion obtained in the present study are as follows :
(1) Time-variation of predicted DO agrees fairly well with that of observed DO quantitatively.
(2) To the contrary, the degree of agreement of predicted chlorophyll-a concentration with observed one is unsatisfactory. The modeling of chlorophyll-a concentration needs remarkable improvement.
(3) In order to improve prediction accuracy of chlorophyll-a, additional measurement of nutritive salts such as nitrogen and phosphorus should be carried out, and agreement of nutritive salts between prediction and observation must be examined.
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