2013年春夏季莱州湾海水环境要素的多元统计分析

发布时间：2018-02-20 00:29

本文关键词： 主成分分析聚类分析海水水质莱州湾　出处：《数学的实践与认识》2016年01期 　论文类型：期刊论文

【摘要】：根据2013年5月(春季)和8月(夏季)莱州湾海水环境要素的调查资料,通过主成分分析提取了3个主成分,累计表达原数据矩阵78.57%的信息,然后分别利用监测要素和主成分综合得分的层次聚类分析筛选出监控指标,并确定了水质污染状况及主要污染区域.结果表明,2013年莱州湾水质春季和夏季较差,导致水质状况恶化的主要要素是溶解无机氮,水质污染程度在时间和空间上存在较大差异,总体上春季海水污染程度高于夏季,莱州湾西侧和南侧处于严重污染或中度污染水平,因此常规监测中应重点关注化学需氧量、无机氮、叶绿素a和石油类这4个指标.
[Abstract]:Based on the investigation data of seawater environmental factors in Laizhou Bay on May 2013 (spring) and August (summer), three principal components were extracted by principal component analysis (PCA), and the information of original data matrix 78.57% was expressed cumulatively. Then the monitoring indexes were screened by hierarchical cluster analysis of monitoring elements and principal component scores, and the water quality pollution status and main polluted areas were determined. The results showed that the water quality in Laizhou Bay in 2013 was poor in spring and summer. The main factor leading to the deterioration of water quality is dissolved inorganic nitrogen. The pollution degree of water quality is different in time and space, and the pollution degree of seawater in spring is higher than that in summer. The west and south sides of Laizhou Bay are seriously polluted or moderately polluted. Therefore, the four indexes of chemical oxygen demand, inorganic nitrogen, chlorophyll a and petroleum should be paid more attention to in routine monitoring.
【作者单位】：山东省海洋资源与环境研究院山东省海洋生态修复重点实验室;中国海洋大学环境科学与工程学院;
【基金】：国家海洋公益性行业专项经费项目(201105006,201205001) 山东省科技发展计划(2014GSF117030) 山东省软科学研究计划项目(2014RKB 12003)
【分类号】：X55

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