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Water
quality assessment on Ooty lake in Nilgiris district
N.
Ilavarasan, R. Ilangovan and P. Rajesh Prasanna
Department
of Civil Engineering, BIT, Anna University Chennai, Tiruchirappalli-620 024,
India
*Corresponding
Author E-mail: k13071981k@gmail.com
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Publication
Data
Paper received:
13 October 2015
Revised received:
14 May 2016
Accepted:
20 August 2016
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Abstract
Water
quality index is used to express the quality of water on both surface as well
as subsurface by integrating various water quality parameters. The present
work aimed to evaluate seasonal water quality index for Ooty Lake in the
Nilgiris district, TamilNadu India. The physico?chemical parameter of water
samples taken during two seasons (winter and summer) were analyzed to
categorize the level of pollution in the study area. The results were compared
with the water quality standards recommended by Environment Protection Act
(2009). Based on the Water Quality Index, Multivariate statistical analyses
were applied to identify the group of parameter that influence water quality
and to evaluate the type of pollution in the lake. In addition to
multivariate statistical analyses, the factor and principal component
analysis were applied and the outcome showed that there were three types of
pollution influencing the water quality namely, agricultural pollution,
organic pollution and domestic waste water pollution. During the winter
season, domestic waste water pollution was high, as rainwater flushed out in
all the areas of watershed. During this season the lake receives a meager
amount of water, and hence, the biological activities taking during the
summer season has resulted in higher biological pollution. From the analyses,
it was observed that there is no major impact by the agricultural pollution.
The cluster analysis showed that there were three cluster values, and from
the similarity groups among the sampling sites, it was noticed that direct
discharge and improper drainage system of watershed caused more pollution in
lakes.
Key
words
Cluster
analysis, Discriminant analysis, Factor analysis, Lake water quality, Seasonal
variation, Water quality index
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