APPLICATION OF MULTIVARIATE STATISTICAL TECHNIQUES FOR WATER QUALITY PARAMETERS OF LAKES IN BANGALORE
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Date
41627
Authors
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Journal ISSN
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Publisher
University of Agricultural Sciences GKVK, Bangalore
Abstract
Water is one of the most precious natural resources
needed by all living beings. Lakes and surface water reservoirs are the
planet’s most important fresh water resources. In the last few decades,
Bangalore has observed rapid industrialization and urbanization. This
has lead to excessive pollution of water bodies. Water quality
parameters data of the 16 lakes of Bangalore for the period of 2008-
2010 considered to study the present condition and causes for the
pollution of the lakes.
A multivariate statistical technique was used to study the water
quality of the lakes. The main idea behind using this technique was to
accommodate all the water quality parameters including metallic and
non metallic parameters. The descriptive statistics showed significant
variability in the water quality parameters in different lakes over the
years. In cluster analysis, squared Euclidian distance was used as a
similarity measure for classification of lakes. The results showed
variation among the lakes and identified three types of lakes. It
provides evidence that former three clusters could be categorized as
less polluted and latter as highly polluted. The Factor analysis
identified three factors that are responsible for the data structure
explaining 85.11% of the total variance of the data set. Factor 1 to 3
explains variance 46.37%, 22.71% and 16.62% respectively. The
potential factors identified were lead, zinc, copper, iron, Dissolved
oxygen, electrical conductivity, total dissolved solids, pH and
suspended solids.
Description
Keywords
surface water, irrigation, water quality, statistical methods, liquid wastes, sampling, storage structures, area, wastes, water