...
首页> 外文期刊>Oceanologia >Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002
【24h】

Multivariate statistical analysis of water quality and phytoplankton characteristics in Daya Bay, China, from 1999 to 2002

机译:1999-2002年中国大亚湾水质和浮游植物特征的多元统计分析

获取原文
   

获取外文期刊封面封底 >>

       

摘要

This study analyzed seasonal physicochemical and phytoplankton data collected at 12 marine monitoring stations in Daya Bay from 1999 to 2002. Cluster analysis based on water quality and phytoplankton parameters measured at the 12 stations could be grouped into three clusters: cluster I - stations S1, S2, S7 and S11 in the southern part and the north-eastern part of Daya Bay; cluster II - stations S5, S6, S9, S10 and S12 in the central and north-eastern parts of Daya Bay; cluster III - stations S3, S4 and S8 in the cage culture areas in the south-western part of Daya Bay and in the north-western part of the Bay near Aotou harbor. Bivariate correlations between phytoplankton density and the major physical and nutrient factors were calculated for all stations. Factor analysis shows that there were high positive loadings of pH, TIN and the ratio of TIN to PO4-P in the three clusters, which indicates that all the stations in the three clusters were primarily grouped according to their respective nutrient conditions.
机译:这项研究分析了1999年至2002年在大亚湾12个海洋监测站收集的季节性理化和浮游植物数据。基于水质和浮游植物参数在这12个站点测得的聚类分析可分为三个聚类:聚类I-S1,S2大亚湾南部和东北部的S7和S11;第二类-大亚湾中部和东北部的S5,S6,S9,S10和S12台站;第三类-大亚湾西南部网箱养殖区和靠近澳头港湾的西北部网箱养殖区的S3,S4和S8站。计算了所有站的浮游植物密度与主要物理和营养因子之间的双变量相关性。因子分析表明,在三个集群中,pH,TIN和TIN与PO4-P的比值较高,这表明三个集群中的所有站点主要根据各自的营养条件进行分组。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号