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DYNAMIC VARIATIONS OF WATER QUALITY IN TAIHU LAKE AND MULTIVARIATE ANALYSIS OF ITS INFLUENTIAL FACTORS
作者姓名:Cao Qiming  Gao Xiyun  Chen Yuwei  Ma Shengwei
作者单位:Cao Qiming; Gao Xiyun;Chen Yuwei; Ma Shengwei(Naming Institute of Geography and Limnology,the Chinese Academy of Sciences,Nanjing 210008,PRC)Matin Dokulil (Institute of Limology,Austria )
摘    要:DYNAMIC VARIATIONS OF WATER QUALITY IN TAIHU LAKE AND MULTIVARIATE ANALYSIS OF ITS INFLUENTIAL FACTORSDYNAMICVARIATIONSOFWATE...

收稿时间:15 March 1996

Dynamic variations of water quality in Taihu Lake and multivariate analysis of its influential factors
Cao Qiming, Gao Xiyun,Chen Yuwei, Ma Shengwei.Dynamic variations of water quality in Taihu Lake and multivariate analysis of its influential factors[J].Chinese Geographical Science,1996,6(4):364-374.
Authors:Qiming Cai  Xiyun Gao  Yuwei Chen  Shengwei Ma  Dokulil Martin
Institution:(1) Nanjing Institute of Geography and Limnology, the Chinese Academy of Sciences, 210008 Nanjing, PRC;(2) Institute of Limnology, Austria
Abstract:Dynamic variation of water quality in Meiliang Bay and part of western Taihu Lake has ho analysed on the data from 1991 to 1992. Principal component analysis is used to reveal the mutual relationships of various factors. It is that there ealsts 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 aunter. This is Particularly true for the mouth of the Liangxi River. In addition, the Chl-a has a synchironous variation with water temperature, although being lagged a little, and closely relates to TP and TN. Finally, the results from prindpal component analysis shaw 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 transparency in Taihu Lake.
Keywords:Taihu Lake  dynamic variation of water quality  principal component analysis
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