Environment and Pollution; Vol. 4, No. 2; 2015 ISSN 1927-0909 E-ISSN 1927-0917 Published by Canadian Center of Science and Education Assessment of Surface Water Quality in Hyderabad Lakes by Using Multivariate Statistical Techniques, Hyderabad-India A. Sridhar Kumar1, A. Madhava Reddy2, L. Srinivas3 & P. Manikya Reddy4 1 Department of Environmental Science, Osmania University, Hyderabad, Telangana State, India 2 Environmental Specialist, Hyderabad, Telangana State, India 3 Research Scholar, Department of Botany, Osmania University of Hyderabad, India 4 Professor, Department of Botany, Osmania University-Hyderabad, India Correspondence: A. Sridhar Kumar, Department of Environmental Science, Osmania University, Hyderabad, Telangana State, India. E-mail:
[email protected] Received: January 2, 2015 Accepted: January 13, 2015 Online Published: March 2, 2015 doi:10.5539/ep.v4n2p14 URL: http://dx.doi.org/10.5539/ep.v4n2p14 Abstract Multivariate statistical techniques such as cluster analysis (CA), principle component analysis (PCA), factor analysis (FA) were applied for the evolution of temporal variations and the interpretation of large complex water quality data set of the Hyderabad city, generating during year 2013-14 monitoring of 16 parameters at 23 different sites of an average depth of 1m. Hierarchical clustering analysis (CA) is first applied to distinguish the three general water quality patterns among the stations. Data set thus obtained was treated using R-mode factor analysis (FA) and followed by principle component analysis (PCA). Factor analysis identified five factors responsible for data structure explaining 75% of total variance and allowed to group selected parameters according to common futures. WT, EC, TSS and Na were associated and controlled by mixed origin with similar - contribution from natural and anthropogenic sources.