NDLI: Statistical approaches for hydrogeochemical characterization of groundwater in West Delhi, India

Content Provider	Springer Nature Link
Author	Adhikary, Partha Pratim Chandrasekharan, H. Chakraborty, Debashis Kumar, Bhisam Yadav, B. R.
Copyright Year	2008
Abstract	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.
Starting Page	41
Ending Page	52
Page Count	12
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	154
Issue Number	1-4
e-ISSN	15732959
Language	English
Publisher	Springer Netherlands
Publisher Date	2008-07-19
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Correlation Regression models Hydro-chemistry Groundwater quality Ecology Atmospheric Protection/Air Quality Control/Air Pollution Environmental Management Ecotoxicology Environmental Monitoring/Analysis
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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