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Evaluation of significant sources influencing the variation of water quality of Kandla creek, Gulf of Katchchh, using PCA

DRS at CSIR-National Institute of Oceanography

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Title Evaluation of significant sources influencing the variation of water quality of Kandla creek, Gulf of Katchchh, using PCA
 
Creator Dalal, S.G.
Shirodkar, P.V.
Jagtap, T.G.
Naik, B.G.
Rao, G.S.
 
Subject water quality
chemical analysis
seasonal variations
principal component analysis
 
Description To evaluate the significant sources contributing to water quality parameters, we used principal component analysis (PCA) for the interpretation of a large complex data matrix obtained from the Kandla creek environmental monitoring program. The data set consists of analytical results of a seasonal sampling survey conducted over 2 years at four stations. PCA indicates five principal components to be responsible for the data structure and explains 76% of the total variance of the data set. The study stresses the need to include new parameters in the analysis in order to make the interpretation of principal components more meaningful. The PCA could be applied as a useful tool to eliminate multi-collinearity problems and to remove the indirect effect of parameters
 
Date 2010-04-04T14:18:03Z
2010-04-04T14:18:03Z
2010
 
Type Journal Article
 
Identifier Environmental monitoring and assessment, vol.163(1-3); 49-56
http://drs.nio.org/drs/handle/2264/3569
 
Language en
 
Rights An edited version of this paper was published by Springer. Copyright [2010] Springer...It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
 
Publisher Springer