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A Multivariate Statistical Approach for Water Quality Assessment of River Hindon, India
Abstract:River Hindon is an important river catering the demand of highly populated rural and industrial cluster of western Uttar Pradesh, India. Water quality of river Hindon is deteriorating at an alarming rate due to various industrial, municipal and agricultural activities. The present study aimed at identifying the pollution sources and quantifying the degree to which these sources are responsible for the deteriorating water quality of the river. Various water quality parameters, like pH, temperature, electrical conductivity, total dissolved solids, total hardness, calcium, chloride, nitrate, sulphate, biological oxygen demand, chemical oxygen demand, and total alkalinity were assessed. Water quality data obtained from eight study sites for one year has been subjected to the two multivariate techniques, namely, principal component analysis and cluster analysis. Principal component analysis was applied with the aim to find out spatial variability and to identify the sources responsible for the water quality of the river. Three Varifactors were obtained after varimax rotation of initial principal components using principal component analysis. Cluster analysis was carried out to classify sampling stations of certain similarity, which grouped eight different sites into two clusters. The study reveals that the anthropogenic influence (municipal, industrial, waste water and agricultural runoff) was the major source of river water pollution. Thus, this study illustrates the utility of multivariate statistical techniques for analysis and elucidation of multifaceted data sets, recognition of pollution sources/factors and understanding temporal/spatial variations in water quality for effective river water quality management.
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 V. Kumar, S. Arya, A. Dhaka, Minakshi, Chanchal, “A study on physiochemical characteristics of Yamuna river around Hamirpur (UP), Bundelkhand region central India,” International Multidisciplinary Research Journal, Vol. 1, no.5, pp.14-16, 2011.
 F. Zhou, Y. Liu and H. Guo, “Application of multivariate statistical methods to water quality assessment of the watercourses in northwestern New Territories, Hong Kong,” Environmental Monitoring and Assessment, vol. 132, pp. 1-13, 2007.
 S. R. Carpenter, N. F. Caraco, D. L. Correll, R. W. Howarth, A. N. Sharpley, and V. H. Smith, “Nonpoint pollution of surface waters with phosphorus and nitrogen,” Ecol Appl, vol. 8, no. 3, pp. 559–568, 1998.
 S. Yerel and H. Ankara, “Application of Multivariate Statistical Techniques in the Assessment of Water Quality in Sakarya River, Turkey,” Journal Geological Society of India, vol. 79, pp. 89-93, 2012.
 I. S. Babiker, A. A. Mohamed and T. Himaya, “Assessing groundwater quality using GIS,” Water Resource Management, vol. 21, pp. 699–715, 2007.
 U. Kuruppu, A. Rahman, M. Haque and A. Sathasivan, “Water quality investigation in the Hawkesbury-Nepean River in Sydney using Principal Component Analysis,” in Proc 20th International Congress on Modelling and Simulation, Adelaide, Australia,2013,pp. 2646- 2652.
 R. Bouza-Deaño, M. Ternero-Rodríguez and A. J. Fernández-Espinosa, “Trend study and assessment of surface water quality in the Ebro River (Spain),” J Hydrol, vol. 361, 227-239, 2008.
 O.O. Omo-Irabor , S. B. Olobaniyi, K. Oduyemi and, J. Akunna, “Surface and ground water quality assessment using multivariate analytical methods: a case study of the Western Niger Delta, Nigeria,” Phys Chem Earth, vol. 33, pp. 663- 673, 2008.
 T. G. Kazi , M. B. Arain, M. K. Jamali, N. Jalbani, H. I. Afridi and R. A. Sarfraz, “Assessment of water quality of polluted lake using multivariate statistical techniques: A case study,” Ecotox Environ Safe, vol. 72, pp. 301-309, 2009.
 Y. Ouyang, “Evaluation of river water quality monitoring stations by principal component analysis,” Water Res, vol. 39, pp. 2621-2635, 2005.
 B. Parinet, A. Lhote and B. Legube, “Principal component analysis: an appropriate tool for water quality evaluation and management? application to a tropical lake system,” Ecol Model, vol. 178, pp. 295- 311, 2004.
 S. Shrestha and F. Kazama, “Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan,” Environ Modell Softw, vol. 22, pp. 464-475, 2007.
 S. Suthar, J. Sharma, M. Chabukdhara and A. K. Nema, “Water quality assessment of river Hindon at Ghaziabad, India: impact of industrial and urban wastewater,” Env. Mon and Assess, vol. 165, pp. 103–112, 2010.
 C. K. Jain, D. C. Singhal and M. K. Sharma, “Metal Pollution Assessment of Sediment and Water in the River Hindon, India,” Env. Mon and Assess, vol. 105, pp. 193-207, 2005.
 APHA. Standard methods for the examination of water and waste water, 19th. Ed, American Public Health Association, American Water Works Association & Water Environment Federation, Washington, DC, 1998.
 A. Mustapha, A. Z. Aris, M. F. Ramli and H. Juahir, “Spatial-temporal variation of surface water quality in the downstream region of the Jakara River, north-western Nigeria: A statistical approach,” Journal of Environmental Science and Health, vol. 47, pp. 1551–1560, 2012.
 G. Brumelis, L. Lapina, O. Nikodemus and G. Tabors, “Use of an artificial model of monitoring data to aid interpretation of principal component analysis,” Env. Mod. and Soft, vol. 15, no. 8, pp. 755-763, 2000.
 K. P. Singh, A. Malik, D. Mohan, and S. Sinha, “Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India): a case study,” Water Res, vol. 38, pp. 3980-3992, 2004.
 K. P. Singh, A. Malik, and S. Sinha, “Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques: a case study,” Analytica Chimica Acta, vol. 538, pp. 355-374, 2005.
 D. Love, D. Hallbauer, A. Amos, and R. Hranova, “Factor analysis as a tool in groundwater quality management: two southern African case studies,” Physics and Chemistry of the Earth, vol. 29, pp. 1135-1143, 2004.
 S. A. Abdul-Wahab, C. S. Bakheit and S. M. Al-Alawi, “Principal component and multiple regression analysis in modelling of groundlevel ozone and factors affecting its concentrations” Env. Model and Soft, vol. 20 no. 10, pp. 1263-1271, 2005.
 J. E. Jr. McKenna, “An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis,” Env. Model and Soft, vol. 18, no. 3, pp. 205-220, 2003.
 M. Otto, Multivariate methods. In: R. Kellner, J. M. Mermet, M. Otto and H. M. Widmer, Eds. Analytical Chemistry. Wiley-VCH: Weinheim, 1998.
 G. S. Rao and G. N. Rao, “Study of ground water quality in greater Viskhapatnun city, Andhra Pradesh (India),” J. of Env. Sc. & Engg. Vol. 52, pp. 137-146, 2010
 S. Gholami and S. Srikantaswamy, “Analysis of agricultural impact on the Cauvery river water around KRS Dam,” World applied Sciences Journal, vol. 6, no. 8, pp. 1157-1169, 2009.
 A. O. Adebola, S. M. Adekolurejo and O. Osibanjo, “Water Quality Assessment of River Ogun Using Multivariate Statistical Techniques,” Journal of Environmental Protection, vol. 4, pp. 466-479, 2013.
 S. Ahmed, M. Hussain and W. Abderrahman, “Using multivariate factor analysis to assess surface/logged water quality and source of contamination at a large irrigation project at Al-Fadhli, Eastern Province, Saudi Arabia,” Bulletin of Engineering Geology and the Environment, vol. 64, pp. 232–315, 2005.
 S. M. Yidana, “Groundwater classification using multivariate statistical methods: Southern Ghana,” J. Afr. Earth Sci, vol. 57, pp. 455–469 2010.
 A. H. Ismail, S. A. Basim and A. Q. Shahla, “Application of Multivariate Statistical Techniques in the surface water quality Assessment of Tigris River at Baghdad stretch,” Iraq Journal of Babylon University/Engineering Sciences, vol. 22, no. 2, 2014.