Abstract
Hydrogeochemical studies have been carried out in a coastal region, using multivariate statistical model, for better understanding the controlling processes that influence the aquifer chemistry. Two principal components (PC1 and PC2) are extracted from the data set of chemical variables (pH, TDS, Ca2+, Mg2+, Na+, K+, HCO −3 , Cl−, SO 2−4 , NO −3 and F−), which account for 79% of the total variation in the quality of groundwater. The PC1 (salinity controlled process) includes the concentrations of TDS, Mg2+, Na+, K+, Cl−, SO 2−4 and NO −3 , while the PC2 (alkalinity controlled process) comprises the concentrations of pH, HCO −3 and F−. The spatial distribution of PC scores identifies the locations of high salinity and alkalinity processes. The first process corresponds to the influences of geogenic, anthropogenic and marine sources, and the second one to the influence of water-soil-rock interaction. Thus, the present study shows the usefulness of multivariate statistical model as an effective means of interpretation of spatial controlling processes of groundwater chemistry.
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Apambire, W.B., Boyle, D.R. and Michel, F.A. (1997). Geochemistry, genesis and health implications of fluoriferous groundwaters in the upper regions of Ghanna. Environ. Geol., v.33, pp.13–24.
APHA (1999) Standard methods for the examination of water and wastewater. American Public Health Association, Washington, DC.
BIS (2003) Indian standard specifications for drinking water, IS:10500, Bureau of Indian Standards, New Delhi.
Central Ground Water Board (2002) Basic data reports of exploratory wells drilled in Prakasam District, Andhra Pradesh. Central Ground Water Board, Southern Region, Hyderabad.
Drever, J.I. (1997) The geochemistry of natural waters. 3rd edn., Prentice Hall, Englewood, 436p.
Fetter, C.W. (1990) Applied hydrogeology. CBS Publishers & Distributors, New Delhi, India, 592p.
Hem, J.D. (1991) Study and interpretation of the chemical characteristics of natural water. United States Geological Survey Professional Paper 2254, Scientific Publ. Jodhpur, India.
Kaiser, H.F. (1958) The varimax criterion for analytic rotation in factor analysis. Psychometrika, v.23, pp.187–200.
Kazi, T.G., Arain, M.B., Jamali, M.K., Jalbani, N., Afridi, H.I., Sardraz, R.A., Baig, J.A. and Shah, A.Q. (2009) Assessment of water quality of polluted lake using multivariate statistical techniques: a case study. Eco-toxicology of Environmental Safe, v. 72, pp. 301–309.
Liu, Ch.W., Lin, K.H. and Kuo,Y.M. (2003). Application of factor analysis in the assessment of groundwater quality in a black foot disease area in Taiwan. The Science of the Total Environment, v.313, pp.77–89.
Nordstrom, D.K. and Jenne, E.A. (1977) Fluoride solubility in selected geothermal waters. Geochim. Cosmochim. Acta, v.41, pp.175–188.
Raghunath, R., Murthy, T.R.S. and Raghavan, B.R. (2002). The utility of multivariate statistical techniques in hydrochemical studies: an example from Karnataka, India. Water Res., v.36, pp.2437–2442.
Ramamohana Rao, N.V., Suryaprakasa Rao, K. and Schuiling, R.D. (1993). Fluorine distribution in waters of Nalgonda district, Andhra Pradesh, India. Environ. Geol., v.21, pp.84–89.
Robbinson, W.D. and Edington, G. (1946) Fluorine in soils. Soil Sci., v.61, pp.341–353.
Stallard, R.F. and Edmond, J.M. (1983) Geochemistry of the Amazon River — the influence of the geology and weathering environment on the dissolved load. Jour. Geophys. Res., v.88, pp.9671–9688.
Stumm, W. and Moran, J.J. (1996) Aquatic chemistry. Wiley-Interscience, New York.
Subba Rao, N. (2002) Geochemistry of groundwater in parts of Guntur District, Andhra Pradesh, India. Environmental Geology, v. 41, pp. 552–562.
Subba Rao, N. (2012) PIG: A numerical index for dissemination of groundwater contamination zones. Hydrological processes, v.26, pp.3344–3350.
Subba Rao, N. (2013) Development and Management of Groundwater Resources in a Coastal Region: A Study from Prakasam District, Andhra Pradesh. Presented at 3rd DST PACWTI on 12th January 2013, Andhra University,Visakhapatnam.
Suhlyla, Y. and Huseyin, A. (2012) Application of multivariate statistical techniques in the assessment of water quality in Sakarya River, Turkey. Jour. Geol. Soc. India, v.79, pp.89–93.
Todd, D.K. (1980) Groundwater hydrology.Wiley, New York.
Vasanthavigar, M., Srinivasamoorthy, K. and Prasanna, M.V. (2013) Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthat sub-basin, Tamil Nadu, India. Environ. Earth Sci., v.68, pp. 1783–1795.
WHO (2004) Guidelines for drinking water quality,World Health Organization, Geneva.
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Subba Rao, N., Vidyasagar, G., Surya Rao, P. et al. Assessment of hydrogeochemical processes in a coastal region: Application of multivariate statistical model. J Geol Soc India 84, 494–500 (2014). https://doi.org/10.1007/s12594-014-0155-6
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DOI: https://doi.org/10.1007/s12594-014-0155-6