Estimating the Ocean Surface Drag Coefficient Based on the Least Squares Method

被引:3
作者
Ding, Hui [1 ]
Dong, Junyu [1 ]
Wang, Hui [2 ]
Zeng, Jing [3 ]
Wu, Jian [1 ]
机构
[1] Ocean Univ China, Dept Comp Sci & Technol, Qingdao, Peoples R China
[2] Ocean Univ China, Sch Phys & Environm Oceanog, Qingdao, Peoples R China
[3] Ocean Univ China, Sch Marine Life Sci, Qingdao, Peoples R China
来源
PROGRESS IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-4 | 2013年 / 610-613卷
基金
中国国家自然科学基金;
关键词
aquaculture; water exchange; seawater resistance; the least squares method; drag coefficient; POM model; SYSTEM; BAY;
D O I
10.4028/www.scientific.net/AMR.610-613.2649
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The aquaculture of the marine organism affects the flow of the sea to a certain extent. Thus, it also affects the water exchange rate and reduces the supplementary of nutrition salt, which accordingly restricts the growth of marine organisms to some extent. Therefore, studying the seawater resistance produced by the marine organisms in the sea has a practical significance. However, the drag coefficient of the seawater resistance produced by the marine organisms is unknown. The least squares method is a mathematical optimization technique to minimize the square of the error and find the best function matching with a set of data. That is, using an easiest way to obtain the absolutely unknowable true value which makes the error sum of squares minimum In this paper, we used the least squares method to fit the drag coefficient of the seawater resistance in the ocean model POM to estimate its true value, and then with the coefficient we can determine the exact value of the seawater resistance.
引用
收藏
页码:2649 / +
页数:2
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