Please use this identifier to cite or link to this item:
|Title:||Chemometrics data analysis of marine water quality in Maharashtra, west coast of India|
|Keywords:||Marine water quality;Cluster analysis;Discriminant analysis;Principal component analysis;Maharashtra|
|Abstract:||Various chemometrics methods were used to analyze data sets of marine water quality for 9 parameters measured at 34 different sites of Maharashtra from 2007 to 2009 to determine spatial variations in marine water quality and identify pollution sources. Hierarchical cluster analysis (CA) grouped the 34 monitoring sites into three groups based on similarities in marine water-quality characteristics. Discriminant analysis (DA) was important in data reduction because it used five parameters (DO, Ammonia, pH, FC and temperature) to correctly assign 96.4% of the cases. In addition, principal component analysis (PCA) identified three latent pollution sources for organic pollution, industrial pollution and fecal pollution. Furthermore, water quality index was calculated based on four parameters viz. pH, DO, BOD and FC.|
|ISSN:||0975-1033 (Online); 0379-5136 (Print)|
|Appears in Collections:||IJMS Vol.42(1) [February 2013]|
Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.