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Ground Water Quality Assessment in Paper Mill Effluent Irrigated Area - Using Multivariate Statistical Analysis

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Relation http://eprints.cmfri.org.in/8803/
 
Title Ground Water Quality Assessment in Paper Mill Effluent Irrigated
Area - Using Multivariate Statistical Analysis
 
Creator Senthil Kumar, D
Satheeshkumar, P
Gopalakrishnan, P
 
Subject Marine Pollution
 
Description Paper mill effluent while flowing, percolates through soil and slowly mixes with ground water bodies
(Open well), water samples were collected from three stations (S1, S2 and S3) in and around paper mill.
This paper represents the characteristics of ground water quality and the effect of paper mill effluent, which is
using recycled water for irrigation and domestic purpose. Cluster analysis (CA), principal component analysis
(PCA) and multidimensional scale plot (MDS) appear were employed to evaluate the tropic status of water
quality for three monitoring stations. High pollution load was observed in the ground water bodies due to
continuous flow of effluent near the ground water sources. Effluent water consists of 3400 mg/l suspended
solids. However, pH varied from 5.5-7.6. The biochemical oxygen demand and chemical oxygen demand ranged
from 2-780 and 60 - 1520 mg/l respectively. SAR, RSC and SSP level was high from S2 and S3, both were
unsuitable for both domestic and irrigation purposes. An elevated coliform bacterial count indicates that
these water samples S2 and S3 were not suitable for domestic purpose. The dendrogram of the effluent water
quality parameters evidently indicate that Maruthi Paper mill does not meet nominal National standard set by
central pollution control board to discharge in agricultural field
 
Date 2011
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Identifier http://eprints.cmfri.org.in/8803/1/Satheesh_Kumar.pdf
Senthil Kumar, D and Satheeshkumar, P and Gopalakrishnan, P (2011) Ground Water Quality Assessment in Paper Mill Effluent Irrigated Area - Using Multivariate Statistical Analysis. World Applied Sciences Journal, 13 (4). pp. 829-836.