Water Quality Assessment of a Water Body using Principal Component Analysis – Sanjay Lake, New Delhi, India
The present study aims at assessing the water quality at Sanjay Lake, Delhi, India using multivariate statistical techniques. A total of 16 physiochemical variables such as pH, conductivity, TDS, COD, DO, chloride, total hardness, magnesium hardness, phosphate, suspended solids, sulphate, nitrate, fluoride, sodium, potassium and calcium were analysed in water samples collected on January, 2020 from 10 sampling sites. The data were evaluated using IBM Statistics software SPSS 25 for principal component analysis, which limits the multiple data dimensions without the loss of vital information for better understanding. Five principal components were defined to be responsible for the data collection, indicating 93% of the total variance of data collection; of which 36.38% by PC1, 24.84% by PC2, 15.13% by PC3, 11.26% by PC4, and 6.36% by PC5 indicated that the domestic sewage, the municipal sewage waste and the untreated industrial effluent discharges may be affecting the water quality. The present study shows that PCA techniques are useful resources for the identification of important surface water quality parameters.
APHA (2005). Standard methods for the examination of water and wastewater, 21st edition. American Public Health Association Washington, DC.
De Bartolomeo, A., Sanchini, G., Poletti, L., Sebastiani, B. and G. Morozzi (2004). Relationship among parameters of lake polluted sediments evaluated by multivariate statistical analysis. Chemosphere, 55: 1323–1329.
Singh, D.S. (2015). Water Quality Index Assessment Of Bhalswa Lake, New Delhi. International Journal of Advanced Research, 3: 1052–1059
Jain, A.K. (2009). Low Carbon City: Policy, Planning and Practice. ISBN: 9788183564687.
Jhamnani, B. and S.K. Singh (2009). Groundwater contamination due to Bhalaswa Landfill site in New Delhi. International Journal of Environmental Engineering, 3(3): 181–185.
Kazi, T.G., Afridi, H.I., Arain, M.B., Jamali, M.K., Sarfraz, R.A., Baig, J.A. and A.Q. Shah (2009). Assessment of water quality of polluted lake using multivariate statistical techniques: A case study. Ecotoxicology and Environmental Safety, 72: 301–309.
Kim, J.H., Choi, C.M., Kim, S.B. and S.K. Kwun (2009). Water quality monitoring and multivariate statistical analysis for rural streams in South Korea. Paddy and Water Environment, 7: 197–208.
Kishor, K. and B.D.D. Joshi (2005). Physico-chemical characteristics of pond water at Khanpur village in Bareilly district (U.P.). Himalyan Journal of Environment and Zoology, 19(8): 89–92.
Mazlum, N., Ozer, A. and S. Mazlum (1996). Interpretation of water quality by principal component analysis. Journal of Engineering and Environmental Science, 23: 19–26.
Mohan, I. (2007). Environment Education. ISBN: 9788131302828
Reporter (2015). cseindia.org/sanjay-lake-dying-silently-716
Singh, S.K. and L. Kumar (2015). Removal of chloride from groundwater by bio adsorption. International Journal of Advance Research, 3(5): 140–154.
Singh, K.P., Malik, A. and S. Sinha (2005). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques: A case study. Analytica Chimica Acta, 538:
355–374.
Voutsa, D., Manoli, E., Samara, C., Sofoniou, M. and I. Stratis(2001). A study of surface water quality in Macedonia, Greece: Speciation of nitrogen and phosphorus. Water, Air, and Soil Pollution, 129: 13–32.
Vyas, A., Mishra, D., Bajapai, A., Dixit, S. and N. Verma(2006). Environment impact of idol immersion activity lakes of Bhopal, India. Asian Journal of Experimental Sciences, 20(2): 289–296.
Wenning, R.J. and G.A. Erickson (2014). Interpretation and analysis of complex environmental data using chemometric methods. Trends in Anaytical. Chemistry, 13: 446–457.