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Application of multivariate statistical techniques for sub soil water quality analysis |
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PP: 1419-1424 |
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doi:10.18576/amis/110519
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Author(s) |
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Ganesan Shanthi,
D. R. Subasree,
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Abstract |
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| Multivariate Statistical method was used for analysis of water quality samples. Ground water quality samples were collected
from Pudukkottai District, Tamil Nadu, and South India. The following parameters such as EC, pH, Ca, Mg, Na HCO3, SO4, NO3,
KCl, TDS were analyzed and compared with standards. Principal Component Analysis combined with Piper tri-linear diagram, were
used for assessment of data. Four principal components were derived, with cumulative variance of 74.3975%. The underlying factor
which is responsible for variation in the water quality has been obtained. Piper trilinear diagram shows the graphical representation
of water chemistry in the study area. It shows the most of the samples falls under Ca2+-Mg2+-HCO−3 water type. All the parameters
analyzed are under the desirable limit given by BIS standards hence it is suitable for domestic and irrigation purposes. |
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