根据2014年3,5,8和10月青岛近岸海域的海洋监测资料,分析了海水透明度的时空分布状况。利用多元线性回归方法,以透明度为因变量,筛选出水深、水温、盐度、硝酸盐、亚硝酸盐、溶解氧和叶绿素a七个影响显著的关键环境因子,建立了最优的多元线性回归统计模型;利用单因子相关性分析方法和曲线拟合分析结果,进一步证明了海水透明度与叶绿素a含量、悬浮物含量及水深呈显著相关,并得出曲线拟合方程。
Abstract
The temporal and spatial distribution of seawater transparency was analyzed according to the marine monitoring data of Qingdao coastal area in 2014. Multiple linear regression analysis was utilized to find out seven key environmental factors as the independent variables, and an optimal multiple linear regression statistical model was established. In addition, the single-factor correlation analysis and curve fitting analysis were also utilized to further prove that the seawater transparency was significantly correlated with the content of chlorophyll a, suspended matter and water depth, and the curve fitting equation is drawn.
关键词
青岛近岸海域 /
海水透明度 /
环境因子 /
统计分析
Key words
Qingdao coastal water /
seawater transparency /
environmental factors /
statistical analysis
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基金
2015年度北海分局海洋科技项目资助(201501);山东省海洋生态环境与防灾减灾重点实验室2015年度开放基金项目资助(2015B03)
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