| 太湖水质的动态变化及影响因子的多元分析 |
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| 引用本文： | 蔡启铭,高锡芸,陈宇炜,马生伟,MartinDokulil.太湖水质的动态变化及影响因子的多元分析[J].湖泊科学,1995,7(2):97-106. |
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| 作者姓名： | 蔡启铭 高锡芸 陈宇炜 马生伟 MartinDokulil |
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| 作者单位： | 中国科学院南京地理与湖泊研究所，中国科学院南京地理与湖泊研究所，中国科学院南京地理与湖泊研究所，中国科学院南京地理与湖泊研究所，奥地利科学院湖泊研究所 南京210008，南京210008，南京210008，南京210008 |
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| 基金项目： | 国家自然科学基金资助项目（编号:49171017） |
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| 摘 要： | 利用１９９１～１９９２年监测资料，分析了太湖梅梁湾和局面西太湖水域水质的动态变化。用主成分分析方法揭示出各因子间的相互关系。结果表明，水质主要因子有明显的时空变化特征，沿南北方向从湾内向湾外，ＴＰ、ＴＮ、ＣＯＤ、Ｃｈｌ－ａ和电导率明显递减，且ＴＰ和ＴＮ含量季节变化，冬季高于夏季，梁溪河口更是如此，Ｃｈｌ－ａ含量与ＴＰ、ＴＮ含量密切相关，其变化基本与水温同步，时间上略后滞。主成分分析说明，ＴＰ、ＴＮ
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| 关 键 词： | 太湖 水质 动态变化 影响因子 多元分析 |
| 收稿时间： | 1993/10/11 0:00:00 |
| 修稿时间： | 1994/6/27 0:00:00 |
Dynamic variations of water quality in Taihu Lake and multivariate analysis of its influential factors |
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| Cai Qiming,Gao Xiyun,Chen Yuwei,Ma Shengwei and Martin Dokulil.Dynamic variations of water quality in Taihu Lake and multivariate analysis of its influential factors[J].Journal of Lake Science,1995,7(2):97-106. |
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| Authors: | Cai Qiming Gao Xiyun Chen Yuwei Ma Shengwei and Martin Dokulil |
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| Institution: | Nanjing Institute of Geography & Lmnology, Chinese Acidemy of Sciences, Nanjing 210008,Nanjing Institute of Geography & Lmnology, Chinese Acidemy of Sciences, Nanjing 210008,Nanjing Institute of Geography & Lmnology, Chinese Acidemy of Sciences, Nanjing 210008,Nanjing Institute of Geography & Lmnology, Chinese Acidemy of Sciences, Nanjing 210008 and Institute of Limanology, Austria |
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| Abstract: | Dynamic variation of water quality in Meiliang Bay and part of west Taihu Lake has been analysed based on the data from 1991 to 1992. Principal Component Analysis is used to reveal the mutual relationships of various factors. It is shown that there exists an obvious spatial and temporal variation in the main factors of water quality. Annual values of TP, TN ,CON.Chl-a and conductivity decrease evidently from inner Meiliang Bay to the outer from north to south. TP and TN fluctuate seasonally with much higher value in winter. This is particularly true for the mouth of Liangxi River. In addition ,the Chl-a has a synchronous variation with water temperature, although being lagged a little. and closely relates to TP and TN. Finally. the results from Principal Component Analysis show that TP. TN,SS (or SD), water temperature and Chl-a are the most influential factors to water quality in this area, and both suspensions and algae can contribute to the transperancy in Taihu Lake. |
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| Keywords: | Taihu Lade dynamic variatiun of water quality principal component analvsis |
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