Application of multivariate statistical techniques for sub soil water quality analysis

Authors

Ganesan Shanthi, Department of Civil Engineering,Shivani Engineering College,Trichirappalli, IndiaFollow
D. R. Subasree, Department of Civil Engineering, St. Joseph’s College of Engineering & Technology, Thanjavur, IndiaFollow

Author Country (or Countries)

India

Abstract

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.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/110519

Recommended Citation

Shanthi, Ganesan and R. Subasree, D. (2017) "Application of multivariate statistical techniques for sub soil water quality analysis," Applied Mathematics & Information Sciences: Vol. 11: Iss. 5, Article 19.
DOI: http://dx.doi.org/10.18576/amis/110519
Available at: https://digitalcommons.aaru.edu.jo/amis/vol11/iss5/19