Integrating multivariate statistical analysis with GIS for geochemical assessment of groundwater quality in Shiwaliks of Punjab,India |
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Authors: | Chander Kumar Singh Satyanarayan Shashtri Saumitra Mukherjee |
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Institution: | (1) School of Environmental Sciences, Jawaharlal Nehru University, New Delhi, 110067, India; |
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Abstract: | The dependency of people on groundwater has increased in the past few decades due to tremendous increase in crop production,
population and industrialization. Groundwater is the main source of irrigation in Shiwaliks of Punjab. In the present study
the samples were collected from predetermined location as was located on satellite image on basis of spectral reflectance.
Global positioning system was used to collect samples from specific locations. Principal components analysis (PCA) together
with other factor analysis procedures consolidate a large number of observed variables into a smaller number of factors that
can be more readily interpreted. In the present study, concentrations of different constituents were correlated based on underlying
physical and chemical processes such as dissociation, ion exchange, weathering or carbonate equilibrium reactions. The PCA
produced six significant components that explained 78% of the cumulative variance. The concentration of the few trace metals
was found to be much higher indicating recharge due to precipitation as main transport mechanism of transport of heavy metals
in groundwater which is also confirmed by PCA. Piper and other graphical methods were used to identify geochemical facies
of groundwater samples and geochemical processes occurring in study area. The water in the study area has temporary hardness
and is mainly of Ca–Mg–HCO3 type. |
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Keywords: | |
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