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三峡科技移民示范区及其毗邻地区水体营养状况的数量分析
引用本文:姜萍,许苏葵,潘文斌.三峡科技移民示范区及其毗邻地区水体营养状况的数量分析[J].水生生物学报,2000,24(5):464-467.
作者姓名:姜萍  许苏葵  潘文斌
作者单位:1. 中国科学院沈阳应用生态研究所,沈阳,110015
2. 辽宁教育出版社,沈阳,110003
3. 中国科学院水生生物研究所,武汉,430072
基金项目:国家“九五”科技攻关专题!(96-920-04-12),国家自然科学基金项目!(39670150)
摘    要:对在梅子垭及其毗邻地区若干重要水体所取的10个水样及其pH值、总氮、总磷、PO43-态磷和P2O5态磷进行了聚类和主成分分析。聚类分析表明10个水样可分为两大类,其中一类又明显分为两类。主成分分析表明磷对第一主成分的贡献最大;氮对第二主成分的贡献最大,其值为负表示存在负相关,排序时将会影响水样在第二主成分上的排列方向。  

关 键 词:水样    聚类分析    主成分分析  

QUANTITATIVE ANALYSIS ON NUTRIENT OF WATERS IN THE THREE GORGES DEMONSTRATION SETTLEMENT AND ITS CONTIGUOUS REGIONS
JIANG Ping,XU Su-kui,PAN Wen-bin.QUANTITATIVE ANALYSIS ON NUTRIENT OF WATERS IN THE THREE GORGES DEMONSTRATION SETTLEMENT AND ITS CONTIGUOUS REGIONS[J].Acta Hydrobiologica Sinica,2000,24(5):464-467.
Authors:JIANG Ping  XU Su-kui  PAN Wen-bin
Abstract:In this research, taking the factors as pH value, total nitrogen(N), total phosphor(P), PO3-4-P and P2O5-P, cluster analysi s(CA) and principal component analysis(PCA) of 10 important waters in Meiziya Vi llage and its contiguous regions were carriedon CA showed that the ten waters co uld be classified into two categories, and one of which could be classified into two categories, too. PCA showed that P contributed to the first principal compo nent most and N contributed the second principal component largely The factor sc ore coefficient of N being negative meant there existed negative relationship, a nd it could affect the arrange direction of water samplings in the second princi pal component.
Keywords:Water sampling  Cluster analysis  Principal component analysis
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