Gauging of water quality using principal component analysis: A case study of the river Ganges at Allahabad

  • Ruby Pandey
  • Anupam Dikshit

Abstract

An extensive investigation of physico-chemical parameters
of water sample of Ganga River at different
Ghats of Allahabad viz: Phaphamau, Daraganj ,Sangam
and Chatnaag ghat during summer, monsoon and winter
seasons in year 2013-14. Ten physico-chemical
parameters as pH, Electrical Conductivity (EC), Dissolved
Oxygen (DO), Biological Oxygen Demand (BOD),
Chemical Oxygen Demand (COD), Total Alkalinity (TA),
TotalHardness (TH), Total Dissolve Solids (T.D.S), Chloride
and Turbidity were used to analyse the pollution
index of Ganga River at Allahabad. Correlation Coefficient
was calculated between different pairs of parameter
to identify the highly correlated and interrelated water
quality parameters(significance level 0.05) Principal
component analysis (PCA) is most important a statistical
method to ascertain the parameters responsible for
variability in water quality variance. Two latent factors
were identified as responsible for the data structure, explaining
98.81% of total variance in the dataset. First
factor explained 87.79% of total variance in the dataset
and the Second factor explained 11.02%of the total variance
respectively.

Published
2015-12-10
How to Cite
PANDEY, Ruby; DIKSHIT, Anupam. Gauging of water quality using principal component analysis: A case study of the river Ganges at Allahabad. Bulletin of Environmental and Scientific Research, [S.l.], v. 4, n. 4, p. 1-6, dec. 2015. ISSN 2278-5205. Available at: <http://besr.org.in/index.php/besr/article/view/57>. Date accessed: 23 sep. 2020.
Section
Articles