Parametric statistical approaches, correlations and multiple linear regressions were used to develop models for the interpretation of hydrogeochemical parameters in the Western part of Delhi sate, India. The hydrogeochemical parameters indicated that the groundwater quality is not safe for consumption. The water is moderately saline and the salinity level is increasing over time. There is also the problem of nitrate pollution. The correlation between electrical conductivity (EC) and other water quality parameters except potassium (K+), nitrate (NO3 −) and bicarbonate (HCO3 −) is significantly positive and Ca++ + Mg++/Na+ + K+ is significantly negative. In predicting EC, the multiple R2 values of 0.996 and 0.985 indicate that 99.6% and 98.5% variability in the observed EC could be ascribed to the combined effect of Na+, HCO3 −, Cl−, SO4 −−, NO3 − and Ca++ + Mg++ for the year of 2005 and 2006 respectively. Out of 99.6% of the variability in EC in 2005, 51.2% was due to Cl− alone, and 8.5%, 12.5%, 6.1%, 14.7% and 6.7% were due to Na+, HCO3 −, SO4 −−, NO3 − and Ca++ + Mg++. Similarly in 2006, out of 98.5% of the variability in EC, 48.5% was due to Cl− alone, and 10.4%, 12.7%, 5.3%, 17.2% and 4.4% were due to Na+, HCO3 −, SO4 −−, NO3 − and Ca++ + Mg++. The analysis shows that a good correlation exists between EC, Cl− and SO4 −− either individually or in combination with other ions and the multiple regression models can predict EC at 5% level of significance.
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APHA (American Public Health Association) (1989). Standard methods for the examination of water and wastewater (17th edn). Washington, DC: APHA.
Biswal, A., Singh, A. K., Tadi, G., & Chandrasekharan, H. (2004). Assessment of ground water quality at IARI farm, New Delhi. Journal of Water Management, 12, 40–46.
Central Ground Water Board (CGWB) (2004). Development and augmentation of groundwater resources in National Capital Territory of Delhi, Government of India Report.
Chapman, D. (1992). Water quality assessment. In Chapman D on behalf of UNESCO, WHO and UNEP (p. 585). London: Chapman and Hall.
Datta, P. S., & Tyagi, S. K. (1996). Major ion chemistry of groundwater in Delhi area: Chemical weathering process and groundwater flow regime. Journal of Geological Society of India, 47, 179–188.
Datta, P. S., Deb, D. L., & Tyagi, S. K. (1997). Assessment of groundwater contamination from fertilizers in Delhi area based on 18O, NO3- and K+ composition. Journal of Contaminant Hydrology, 27, 249–262
Gibbs, R. J. (1970). Mechanisms controlling world water chemistry. Science, 170, 1088–1090.
Indian Standard Institution (1991). Indian standard specification for drinking water. ISI, 10500, 1–5.
Janardhuna Raju, N. (2006). Seasonal evaluation of hydro-chemical parameters using correlation and regression analysis. Current Science, 91, 820–826.
Jayakumar, R., & Siraz, L. (1997). Factor analysis in hydrogeochemistry of coastal aquifers – a preliminary study. Environmental Geology, 31, 174–177.
Johnson, C. C. (1979). Land application of waste–an accident waiting to happen. Ground Water, 17, 69–72.
Meenakshi, Garg, V. K., Kavita, Renuka, & Malik, A. (2004). Groundwater quality in some villages of Haryana, India: Focus on fluoride and fluorosis. Journal of Hazardous Materials, 106, 85–97.
Meyer, S. L. (1975). Data analysis for scientists and engineers (p. 513). New York: Wiley.
Nightingale, H. I., & Bianchi, W. C. (1980). Correlation of selected well water quality parameters with soil and aquifer hydrologic properties. Water Resources Bulletin, 16, 702–709.
Pojasek, R. B. (1977). Drinking water quality enhancement through source protection (p. 614). Ann Arbor, MI: Ann Arbor Science.
Rabinove, C. L., Longford, R. H., & Brookhart, J. W. (1958). Saline water resources of North Dakota. US Geographical Survey Water Supply Paper, 1418, 364.
Raghunath, R., Murthy, T. R. J., & Raghavan, B. R. (2002). The utility of multivariate statistical techniques in hydrogeochemical studies: An example from Karnataka, India. Water Research, 36, 2437–2442.
Richards, L. A. (1954). Diagnosis and improvement of saline – Alkali soils. USDA Handbook 60.
Ruiz, F., Gomis, V., & Blasco, P. (1990). Application of factor analysis to the hydrogeochemical study of a coastal aquifer. Journal of Hydrology, 119, 169–177.
Sett, D. N. (1964). Groundwater geology of the Delhi region. Bulletin. Geological Survey of India, Series B, 16, 1–35.
Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., et al. (2003). Assessment of the surface water quality in northern Greece. Water Research, 37, 4119–4124.
W. H. O. (1971). International standards for drinking water (3rd edn). Geneva: WHO.
Wunderlin, D. A., Diaz, M. P., Ame, M. V., Pesce, S. F., Hued, A. C., & Bistoni, M. (2001). Pattern recognition techniques for the evaluation of spatial and temporal variation in water quality. A case study: Suquia river basin (Cordoba, Argentina). Water Research, 35, 2881–2894.
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Adhikary, P.P., Chandrasekharan, H., Chakraborty, D. et al. Statistical approaches for hydrogeochemical characterization of groundwater in West Delhi, India. Environ Monit Assess 154, 41 (2009). https://doi.org/10.1007/s10661-008-0376-5
- Regression models
- Groundwater quality