Groundwater Quality Analysis of Northeastern Haryana using Multivariate Statistical Techniques

Authors

  • Department of Civil Engineering, National Institute of Technology, Kurukshetra - 136 119
  • Department of Civil Engineering, National Institute of Technology, Kurukshetra - 136 119
  • Department of Civil Engineering, National Institute of Technology, Kurukshetra - 136 119

DOI:

https://doi.org/10.1007/s12594-020-1450-z

Keywords:

No Keywords.

Abstract

Sub-surface water contamination has become a topic of main concern due to anthropogenic activities. MSTs were performed to appraise the seasonal and spatial variations in quality of sub-surface water and to trace the sources in NE Haryana. WQI was computed to analyse the quality of overall groundwater for domestic purposes during pre-and postmonsoon periods. The post-monsoon season water samples were found to be good for human consumption compared to pre-monsoon season. HCA, DA and PCA were performed to the quality of sub-surface water data computed on 14 elements from 30 locations geographically well-distributed across the area. Thirty sampling sites were classified into 02 clusters using HCA, group two having higher contamination than group one. The most significant elements accounting for spatial and seasonal variations in quality of sub-surface water of the study region was obtained by using DA. For the combined dataset of the pre-monsoon and post-monsoon seasons of 2017 the temporal and spatial DA identified pH, Na, Cl, TDS, Mg and F as the six most significant element, which distinguishes between water pre-eminence in the two seasons and accounts for 88.34% spatial and 100% seasonal assignation of cases. PCA was used to the data observed from the 02 groups, which obtained four varimax-factors in each group, accounting 77.54 and 84.77% of the total variance, respectively. Varimax factors evolved from PCA represented that quality of sub-surface water variation is possibly attributed by multiple geogenic, anthropogenic factors, ion exchange processes and rock-water interactions in groundwater.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Issue

Section

Research Articles

Published

2020-04-30

How to Cite

Ravish, S., Setia, B., & Deswal, S. (2020). Groundwater Quality Analysis of Northeastern Haryana using Multivariate Statistical Techniques. Journal of Geological Society of India, 95(4), 407–416. https://doi.org/10.1007/s12594-020-1450-z

References

APHA, AWWA, WEF (2005) Standard methods for the examination of water and waste waters. American Public Health Association, 21ST Edition, Washington, DC: APHA.

BIS (2012) Drinking water specifications. Bureau of Indian Standards, 1991, IS: 10500 (revised 2011).

CGWB (2012) Ground water information booklet-Yamunanagar and Ambala districts Haryana. Ministry of water resources, government of India.

Dalai, T.K., Krishnaswami, S., Sarin, M.M. (2002) Major ion chemistry in the headwaters of the Yamuna river system: chemical weathering, its temperature dependence and CO2 consumption in the Himalaya. Geochim Cosmochim Acta, v.66, pp.3397-3416. DOI: 10.1016/S0016-7037(02)00937-7.

Dawoud, M.A., Raouf, A.R.A. (2009) Groundwater exploration and assessment in rural communities of Yobe State, Northern Nigeria. Water Resour. Managmt., v.23(3), pp.581-601.

EEC (1980) Guidelines for drinking water. 1st ed. Brussels: European Economic Community.

GSI (2012) Geological Survey of India (updated up to march, 2012). Northern region briefing book, India.

Horton, R.K. (1965) An index number system for rating water quality. Jour Water Pollut. Control. Fed., v.37, pp.300-305.

Helena, B., Pardo, R., Vega, M., Barrado, E., Fernández, J.M., Fernández L (2000) Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga river, Spain) by principal component analysis. Water Res., v.34, pp.807-816.

Han, G., Liu, C.Q. (2003) Water geochemistry controlled by carbonate dissolution: a study of the river waters draining karst-dominated terrain, Guizhou Province, China. Chem. Geol., v.204, pp.1-21. DOI:10.1016/j.chemgeo.2003.09.009.

Hassen, I., Hamzaoui-Azaza, F., Bouhlila, R. (2016) Application of multivariate statistical analysis and hydrochemical and isotopic investigations for evaluation of groundwater quality and its suitability for drinking and agriculture purposes: case of Oum Ali-Thelepte aquifer, central Tunisia. Environ. Monit. Assess., v.188(3), pp.1-20.

Jammel, A., Hussain, A.Z. (2003) Impact of sewage on the quality of Uyakandan channel water of River Cauvery at Tiruchirapalli. Indian Jour. Environ. Prot., v.23(6), pp.660-662.

Jat, M.K., Garg, P.K., Khare, D. (2008) Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. Internat. Jour. Appl. Earth Obs. Geoinf., v.10(1), pp.26-43.

Juahir, H., Zain, S.M., Yusoff, M.K., Hanidza, T.T., Armi, A.M., Toriman, M.E., Mokhtar, M. (2011) Spatial water quality assessment of Langat River basin (Malaysia) using environmetric techniques. Environ. Monit. Assess., v.173(1-4), pp.625-641.

Kim, J.O., Mueller, C.W. (1978) Introduction to factor analysis: what it is and how to do it. Quantitative applications in the social sciences series. University Paper Series on Quantitative Applications in the Social Sciences, Series No. 07-013. Newbury Park, CA, Sage Publications.

Karim, A., Veizer, J. (2000) Weathering processes in the Indus River basin: implications from riverine carbon, sulfur, oxygen, and strontium isotopes. Chem. Geol., v.170, pp.153-177.

Kresse, T.M., Fazio, J.A. (2002) Pesticides, Water quality and geochemical evolution of ground water in the alluvial aquifer, Bayou Bartholomew watershed, Arkansas. Arkansas Department of Environmental Quality. Water Quality Report WQ02-05-1, Little Rock, AR.

Kazi, T.G., Arain, M.B., Jamali, M.K., Jalbani, N., Afridi, H.I., Sarfraz, R.A., Baig, J.A., Shah, A.Q. (2009) Assessment of water quality of polluted lake using multivariate statistical techniques a case study. Ecotoxicol. Environ. Safety, v.72, pp.301-309.

Kundu, M.C., Mandal, B. (2009) Nitrate enrichment in groundwater from long-term intensive agriculture: its mechanistic pathways and prediction through modelling. Environ. Sci. Technol., v.43(15), pp.5837-5843.

Kumar, M., Ramanathan, A.L., Tripathi, R., Farswan, S., Kumar, D., Bhattacharya, P. (2017) A study of trace element contamination using multivariate statistical techniques and health risk assessment in groundwater of Chhaprola Industrial Area, Gautam Buddha Nagar, Uttar Pradesh, India. Chemosphere, v.166, pp.135-145.

Lee, J.Y., Cheon, J.Y., Lee, K.K., Lee, S.Y., Lee, M.H. (2001) Statistical evaluation of geochemical parameter distribution in a ground water system contaminated with petroleum hydrocarbons. Jour. Environ. Qual., v.30(5), pp.1548-1563.

Liu, C.W., Lin, K.H., Kuo, Y.M. (2003) Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. Sci. Total Environ., v.313(1), pp.77-89.

Mustapha, A., Aris, A.Z. (2012a) Multivariate statistical analysis and environmental modelling of heavy metals pollution by industries. Pol. Jour. Environ. Stud., v.21, pp.1359-1367.

Mustapha, A., Aris, A.Z., Juahir, H., Ramli, M.F. (2012b) Surface water quality contamination source apportionment and physicochemical characterization at the upper section of the Jakara basin, Nigeria. Jour. Environ. Sci. Health A Tox Hazard Subst Environ Engg. v.47(11), pp.1551-1560. DOI: 10.1080/10934529.2012.680415

Mohammad SG, Amba S (2018) Groundwater quality assessment of urban Bengaluru using multivariate statistical techniques. Appld. Water Sci., v.8, pp.43.

Pius, A., Jerome, C., Sharma, N. (2012) Evaluation of groundwater quality in and around Peenya industrial area of Bangalore, South India using GIS techniques. Environ. Monit. Assess. v.184(7), pp.4067-4077.

Reghunath, R., Murthy, T.S., Raghavan, B.R. (2002) The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Res., v.36(10), pp.2437-2442.

Ravikumar, P., Somashekar R.K. (2017) Principal component analysis and hydrochemical facies characterization to evaluate groundwater quality in Varahi river basin, Karnataka state, India. Appld. Water Sci., v.7(2), pp.745-755.

Sawyer, C.N., McCarty, D.L. (1967) Chemistry of Sanitary Engineers, 2nd ed. McGraw-Hill, New York, 518p.

Salman, S.R., Ruka'h, Y.A. (1999) Multivariate and principal component statistical analysis of contamination in urban and agricultural soils from north Jordan. Environ. Geol., v.38(3), pp.265-270.

Simeonov, V., Stratis, J.A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A. (2003) Assessment of the surface water quality in northern Greece. Water Res., v.37(4119), pp.4124.

Singh, K.P., Malik, A., Mohan, D., Sinha, S. (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti river (India): a case study. Water Res., v.38, pp.3980-3992.

Simeonov, V., Simeonova, P., Tzimou-Tsitouridou, R. (2004) Chemometric quelity assessment of surface waters: two case studies. Chem. Engg. Ecol, v.11(6), pp.449-469.

Singh, K.P., Malik, A., Sinha, S. (2005) Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques: a case study. Anal. Chim. Acta, v.538, pp.355-374.

Shrestha, S., Kazama, F. (2007) Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan. Environ. Model. Software, v.22, pp.464-475.

Sadat-Noori, S.M., Ebrahimi, K., Liaghat, A.M. (2014) Groundwater quality assessment using the water quality index and GIS in Saveh-Nobaran aquifer, Iran. Environ. Earth Sci., v.71(9), pp.3827-3843.

Samantara, M.K., Padhi, R.K., Satpathy, K.K., Sowmya, M., Kumaran, P. (2015) Groundwater nitrate contamination and use of Cl/Br ratio for source appointment. Internat. Jour. Environ. Monit. Assess., v.187(2), pp.50.

Samson, S., Elangovan, K. (2017) Multivariate statistical analysis to assess groundwater quality in Namakkal district, Tamil Nadu, India. Jour. Geo Marine Sciences, v.46(04), pp.830-836.

Samantara, M.K., Padhi, R.K., Sowmya, M., Kumaran, P., Satpathy, K.K. (2017) Heavy metal contamination, major ion chemistry and appraisal of the groundwater status in coastal aquifer, Kalpakkam, Tamil Nadu, India. Internat. Jour. Ground Water for Sustainable Development, v.5, pp.49-58.

Selemani, J.R., Zhang, J., Muzuka, A.N.N., Njau, K.N., Zhang, G., Maggid, A., Mzuza, M.K., Jin, J., Pradhan, S. (2017) Seasonal water chemistry variability in the Pangani River basin, Tanzania. Environ. Sci. Pollut. Res., v.24, pp.26092-26110; DOI: 10.1007/s11356-017-0221-x.

Tiwari, T.N., Mishra, M. (1985) A preliminary assignment of water quality index of major Indian rivers. Indian Jour. Environ. Prot., v.5(4), pp.276-279.

Topol, L.E., Mitchell, W.J. (1985) US EPA Office of Research and Development, Environmental Monitoring Systems Laboratory, Environmental Monitoring and Services, Inc. Quality assurance manual for precipitation measurement systems. Research Triangle Park: US EPA.

Tian, Y., Yu, C., Zha, X., Wu, J., Gao, X., Feng, C., Luo, K. (2016) Distribution and potential health risks of arsenic, selenium, and fluorine in natural waters in Tibet, China. Water, v.8, pp.568

Tirkey, P., Bhattacharya, T., Chakraborty, S., Baraik, S. (2017) Assessment of groundwater quality and associated health risks: a case study of Ranchi city, Jharkhand, India. Groundwater for Sustainable Development, v.5, pp.85-100.

Vega, M., Pardo, R., Barrado, E., Deban, L. (1998) Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Res., v.32, pp.3581-3592.

Wunderlin, D.A., Diaz, M.P., Ame, M.V., Pesce, S.F., Hued, A.C., Bistoni, M.A. (2001) Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality, a case study: Suquia river basin (Cordoba, Argentina). Water Res., v.35, pp.2881-2894.

Wang, J., Dal, Song, K., Li, B. (2008) Temporal variations of surface water quality in urban, suburban and rural areas during rapid urbanization in Shanghai, China. Environ. Pollution, v.152, pp.387-393.

Zhang, S.R., Lu, X.X., Higgitt, D.L., Chen, C.T.A., Sun, H.G., Han, J.T. (2007) Water chemistry of the Zhujiang (Pearl river): natural processes and anthropogenic influences. Jour. Geophys. Res., v.112, F01011. DOI:10.1029/2006JF000493.

Zhang, Y., Guo, F., Meng, W., Wang, X.Q. (2009) Water quality assessment and source identification of Daliao river basin using multivariate statistical methods. Environ. Monit. Assess., v.152, pp.105-121.

Similar Articles

1 2 3 4 5 6 7 8 9 10 > >> 

You may also start an advanced similarity search for this article.