海洋学研究 ›› 2017, Vol. 35 ›› Issue (3): 79-84.DOI: 10.3969/j.issn.1001-909X.2017.03.009

• 研究报道 • 上一篇    下一篇

青岛近岸海域海水透明度时空变化及与环境因子之间的关系

高磊1,2, 姚海燕1,2, 张蒙蒙1,2, 鞠莲1,2, 曹婧1,2   

  1. 1.国家海洋局 北海环境监测中心,山东 青岛 266033;
    2.山东省海洋生态环境与防灾减灾重点实验室,山东 青岛 266033
  • 收稿日期:2016-04-14 修回日期:2017-03-28 发布日期:2022-11-18
  • 作者简介:高磊(1983-),男,山东平度市人,工程师,主要从事海洋环境监测与评价研究。E-mail:gaolei@bhfj.gov.cn
  • 基金资助:
    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)

Temporal and spatial variation of seawater transparency and its relationship with environmental factors in Qingdao coastal area

GAO Lei1,2, YAO Hai-yan1,2, ZHANG Meng-meng1,2, JU Lian1,2, CAO Jing1,2   

  1. 1. North China Sea Environmental Monitoring Center, SOA, Qingdao 266033, China;
    2. Shandong Provincial Key Laboratory of Marine Ecology and Environment & Disaster Prevention and Mitigation, Qingdao 266033, China
  • Received:2016-04-14 Revised:2017-03-28 Published:2022-11-18

摘要: 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。

关键词: 青岛近岸海域, 海水透明度, 环境因子, 统计分析

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.

Key words: Qingdao coastal water, seawater transparency, environmental factors, statistical analysis

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