Abstract
Groundwater exploitation in Punjab has increased in last few decades due to rapid increase in industrialization, population, crop production, and erratic monsoon. In the present study, groundwater samples from 29 locations were collected and analyzed for almost all major anions, cations, and heavy metals. The analyzed parameters formed the attribute database for statistical analysis. The study approach included multivariate statistical analysis of hydro-chemical data to identify hydro-geochemical processes occurring in the study area and its relation to groundwater quality. The principal component analysis produced seven significant factors that explained nearly 77 % of the cumulative variance. Factor 1 explained nearly 22.05 % of dataset with variables loading indicating mineralization of geological component of soil. Trilinear plot and other graphical methods were also used to identify chemical facies of groundwater and geochemical processes occurring in study area. The water type in the study area is of Na/K–Mg–HCO3 type. It was found that the general hydro-geochemistry of groundwater in the study area dominated is by the processes such as carbonate/silicate weathering, ion-exchange, and dissolution. Thus, statistical methods can prove to be an effective tool understanding hydro-geochemistry of a region along with conventional graphical methods.
Similar content being viewed by others
References
American Public Health Association (APHA) (2005) Standard methods for the examination of water and waste water, 21st edn. American Public Health Association, Washington, DC
Ashley RP, Lloyd JW (1978) An example of the use of factor analysis and cluster analysis in ground water chemistry interpretation. J Hydrol 39:355–364
Bureau of Indian Standards (1991) IS 10500. BIS, New Delhi, India
Burrough PA, McDonnell RA (1998) Principles of geographical information systems for land resources assessment. Oxford University Press, New York
Cattell RB, Jaspers J (1967) A general plasmode (no. 30-10-5-2) for factor analytic exercises and research. Mult Behav Res Monogr 67:1–212
Central Ground Water Board (2004) Annual report Central Ground Water Board (Northern Region), Ministry of Water Resources, Govt. of India. CGWB, India
Dalton MG, Upchurch SB (1978) Interpretation of hydrochemical facies by factor analysis. Ground Water 16:228–233
Datta PS, Bhattacharya SK, Tyagi SK (1996) 18O studies on recharge of phreatic aquifers and groundwater flow-paths of mixing in the Delhi area. J Hydrol 176:25–36
Davis JC (2002) Statistics and data analysis in geology. Wiley, (ASIA) pte Ltd, Singapore
Dawdy DR, Feth JH (1967) Applications of factor analysis in study of chemistry of groundwater quality, Mojave River Valley, California. Water Resour Res 3:505–510
Domenico PA (1972) Concepts and models in groundwater hydrology. McGraw-Hill, New York, NY
Douglas EB, Leo WN (1977) Hydrogeochemical relationships using partial correlation coefficient. Water Resour Bull 13:843–846
Farnham IM, Johannesson KH, Singh AK, Hodge VF, Stetzenbach KJ (2003) Factor analytical approaches for evaluating ground water trace element chemistry data. Analy Chim Acta 490(1):123–138
Fetter CW (1994) Applied hydrogeology, 3rd edn. Prentice Hall, New York
Guo H, Wang Y (2004) Hydrogeochemical processes in shallow quaternary aquifers from the northern part of the Datong Basin, China. J App Geochem 19:19–27
Handa BK (1986) Trace elements content of groundwater in the basaltic rocks in some parts of Indian peninsula. In: Power KB, Thigale SS (eds) Hydrogeology of volcanic terranes. University of Poona, Pune, pp 83–104
Heinrich EW (1948) Fluorite-rare earth mineral pegmatites of Chaffee and Fremont Counties, Colorado University of Michigan, Ann Arbor, Michigan. Amer Mineral 33:64–75
Helena B, Pardo R, Vega M, Barrado E, Fernandez JM, Fernandez L (2000) Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Research 34:807–816
Hem JD (1985) Study and interpretation of the chemical characteristics of natural water. US Geological Survey Water Supply Paper 2254
Jankowski J, Acworth RI (1997) Impact of debris-flow deposits on hydrogeochemical processes and the development of dryland salinity in the Yass River catchment, New South Wales, Australia. J Hydrogeol 5(4):71–88
Kim JH, Kim RH, Lee J, Cheong TJ, Yum BW, Chang HW (2005) Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrol Process 19:1261–1276
Mahloch JL (1974) Multivariate techniques for water quality analysis. J Environ Eng Div Amer Soc Civil Eng 100(No. EE5):1119–1132
Maya AL, Loucks MD (1995) Solute and isotopic geochemistry and groundwater flow in the Central Wasatch Range, Utah. J Hydrol 172:31–59
Mazlum N, Ozer A, Mazlum S (1996) Interpretation of water quality data by principal components analysis. J Eng Env Sci 23:19–26
McBride MB (1980) Chemisorption of Cd2+ on calcite surface. Soil Sci Soc Am J 44:26–28
Mehrotra P, Mehrotra S (2000) Pollution of groundwater by manganese in Hindon–Yamuna Doab (Noida area) district, Ghaziabad. In: Proceedings of the International Seminar on Applied Hydrogeochemistry, Annamalai University; 106–112
Naidu AS, Mowatt TC, Somayajulu BKL, Sreeramachandra KR (1985) Characteristics of clay minerals in the bed loads of major rivers of India. In: Degens ET, Kempe S, Herrera R (eds) Transport of carbon and minerals in major world rivers, part 3, SCOPE/UNEP, Special issue 58. Mitt Geol Palaont Inst Univ Hamburg, Hamburg, pp 559–568
Noy-Meir I (1973) Data transformations in ecological ordination. I. Some advantages of non-centering. J Ecol 61:329–341
Oda H (2003) Next world war will be over water, Proceedings 3rd World Water Forum, Kyoto 16–24 March 2006. Kyoto, Japan
Rajmohan N, Elango L (2004) Identification and evolution of hydrogeochemical processes in the groundwater environment in a part of Palar and Cheyyar River Basins, southern India. Environ Geol 46:47–61
Reghunath R, Murthy TRS, Raghavan BR (2002) The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Res 36:2437–2442
Romesburg HC (1984) Clustering analysis for researchers. Lifetime Learning Publications, Belmont, California
Shanyengana MK, Seely MK, Sanderson RD (2004) Major-ion chemistry and groundwater salinization in ephemeral floodplains in some arid regions of Namibia. J Arid Env 57:71–83
Sharma BD, Mukopadhyay SS, Sidhu PS (1998) Microtopographic controls on soil formation in the Punjab Region, India. Geoderma 8:59–72
Simeonova P, Simeonov V, Andreev G (2003) Environmetric analysis of the Struma river water quality. Cent Eur J Chem 2:121–126
Singh M, Ansari AA, Müller G, Singh IB (1997) Heavy metals in freshly deposited sediments of the Gomati River (a tributary of the Ganga River): effects of human activities. Env Geol 29 (3–4):246–252
Singh CK, Shashtri S, Mukherjee S (2010) Integrating multivariate statistical analysis with GIS for geochemical assessment of groundwater quality in Shiwaliks of Punjab, India. Environ Earth Sci 62(7):1387–1405
Singh CK, Kumari R, Singh RP, Shashtri S, Kamal V, Mukherjee S (2011) Geochemical evidences of high fluoride concentration in groundwater of Pokhran, area of Rajasthan, India. 2011. Bull Env Contam Toxicol 86(2):152–158
Singh CK, Kumari R, Singh N, Mallick J, Mukherjee S (2012) Fluoride enrichment in aquifers of Thar Desert: controlling factors and its geochemical modeling. Hydrol Process., Wiley DOI:10.1002/hyp.9247
Sneath PHA, Sokal RR (1973) Numerical taxonomy—the principles and practice of numerical classification. W. H. Freeman, San Francisco p 573
Suk H, Lee KK (1999) Characterization of a groundwater hydrochemical system through multivariate analysis: clustering into groundwater zones. Ground Water 37(3):358–366
Thyne G, Güler C, Poeter E (2004) Sequential analysis of hydrochemical data for watershed characterization. Ground Water 42(5):711–723
Wallick EI, Toth J (1976) Methods of regional groundwater flow analysis with suggestions for the use of environmental isotope and hydrochemical data in groundwater hydrology. IAEA, Vienna, pp 37–64
Wenning RJ, Erickson GA (1994) Interpretation and analysis of complex environmental data using chemometric methods. Trend Anal Chem 13:446–447
WHO (World health Organization) (2009) Guidelines for Drinking Water Quality, World Health Organization
Woocay A, Walton J (2008) Multivariate analyses of water chemistry: surface and ground water interactions. Ground Water 46(3):437–449
Acknowledgment
The authors are very much thankful to the anonymous reviewers as the inputs provided by the reviewers helped us improve the manuscript. The author also acknowledges funding support by Dept. of Science and Technology to carry out this research work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Singh, C.K., Shashtri, S., Rina, K. et al. Chemometric analysis to infer hydro-geochemical processes in a semi-arid region of India. Arab J Geosci 6, 2915–2932 (2013). https://doi.org/10.1007/s12517-012-0597-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12517-012-0597-3