Statistical evaluation of the effect of secondary municipal wastewater and solid waste leachate on ground water quality at Lawspet in Puducherry, India

• Autorzy: Nathan N. S. , Saravanane R. , Sundararajan T.

Identyfikatory

DOI

10.5277/epe180107

• Języki publikacji: EN

Abstrakty

EN

At Lawspet area in Puducherry, India, a unique situation of co-disposal of solid waste dumping and secondary wastewater disposal on land, prevails simultaneously within the same campus. So an attempt is made to assess the combined effect of this co-disposal on the environmental quality and pollution effects on groundwater quality with a view to correctly monitor the situation. Multivariate statistical analysis like hierarchical cluster analysis (HCA) and discriminant analysis (DA) were employed. HCA was performed on borewells, physiochemical parameters and seasons. Borewell clustering identified four clusters illustrating varying degree of groundwater contamination. In parameter clustering, two major clusters were formed indicating hardness and anthropogenic components. Temporal clustering identified three major clusters indicating pre-monsoon, monsoon and post-monsoon. Discriminant analysis revealed nine significant parameters which discriminate four clusters qualitatively affording 86% correct assignation to discriminate among the clusters. Also three major components viz. anthropogenic, hardness and geogenic responsible for groundwater quality in the study area were identified. Conclusively the investigation revealed that the direction of the contaminant transport is towards the southeast direction of the study area, where all the borewells (100%) are affected.

Słowa kluczowe

EN

cluster analysis; discriminant analysis; municipal waste water; multivariate analysis; municipal solid waste; wastewater disposal; water quality

PL

analiza skupień; analiza dyskryminacyjna; analiza wieloczynnikowa; komunalne odpady stałe; utylizacja ścieków; jakość wody

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Environment Protection Engineering
• Rocznik: 2018
• Tom: Vol. 44, nr 1
• Strony: 85--102
• Opis fizyczny: Bibliogr. 17 poz., tab., rys.

Twórcy

autor

Nathan N. S.

• Department of Civil Engineering, Pondicherry Engineering College, Puducherry, India

autor

Saravanane R.

• Department of Civil Engineering, Environmental Engineering Lab, Pondicherry Engineering College, Puducherry, India

autor

Sundararajan T.

• Department of Civil Engineering, Pondicherry Engineering College, Puducherry, India

Bibliografia

• [1] NOSRATI K., VAN DEN EECKHAUT M., Assessment of groundwater quality using multivariate statistical techniques in Hashtgerd Plain, Iran, J. Environ. Earth Sci., 2012, 65 (1) 331.
• [2] REGHUNATH R., MURTHY T.R.S., RAGHAVAN B.R., The utility of multivariate statistical techniques in hydro-geo-chemical studies. An example from Karanataka, India, Water Res., 2002, 36 (10), 2437.
• [3] SHRESTHA S., KAZAMA F., Assessment of surface water quality using multivariate statistical techniques. A case study of the Fuji River Basin, Japan, Environ. Mod. & Soft. 2007, 22(4), 464.
• [4] SINGH K.P., MALIK A., SINHA S., Water quality assessment and apportionment of pollution sources of Gomti River (India) using multivariate statistical techniques. A case study, Anal. Chim. Acta, 2005, 538, 355.
• [5] HUANG Y.C., WU T.N., CHENG P.J., Characterization of groundwater quality by multivariate statistical analysis: an example from Kaohsiung County, Taiwan, [In:] Water and Wastewater Management for Developing Countries, K. Mathew, I. Nhapi, Water and Environ. Man. Series. IWA Publishing, London 2005.
• [6] YIDANA S.M., YIDANA A., Assessing water quality using water quality index and multivariate analysis, Environ. Earth Sci., 2010, 59 (7), 1461.
• [7] ZHAO Y., XIA X.H., YANG Z.F., Assessment of water quality in Baiyangdian Lake using multivariate statistical techniques, Proc. Environ. Sci., 2012, 13, 1213.
• [8] KAMBLE S.R., VIJAY R., Assessment of water quality using cluster analysis in coastal region of Mumbai, India, Environ. Mon. Asses., 2011, 178 (1–4), 321.
• [9] LIN C., WU E.M.Y., LEE C.N., KUO S.L., Multivariate statistical factor and cluster analyses for selecting food waste optimal recycling methods, Environ. Eng. Sci., 2010, 28, 349.
• [10] COBBINA S.J., ARMAH F.A., OBIRI S., Multivariate statistical and spatial assessment of groundwater quality in the Tolon-Kumbungu District, Ghana, Res. J. Environ. Earth Sci., 2012, 4 (1), 88.
• [11] PEJMAN H., G.R. BIDHENDI N., KARBASSI A.R., MEHRDADI N., BIDHENDI M.E., Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques, Int. J. Environ. Sci. Techn., 2009, 6 (3), 467.
• [12] KANNEL P.R., LEE S., LEE Y.S., Assessment of spatial-temporal patterns of surface and ground water qualities and factors influencing management strategy of groundwater system in an urban river corridor of Nepal, J. Environ. Man., 2008, 86, 595.
• [13] SINGH K.P., MALIK A., SINGH V.K., MADAN D., SINHA S., Multivariate statistical techniques for the evaluation of spatial and temporal variation in water quality of Gomti river (India). A case study, Water Res., 2005, 38.
• [14] LI S., ZHANG Q., Spatial characterization of dissolved trace elements and heavy metals in the Upper River (China) using multivariate statistical techniques, J. Hazard. Mat., 2010, 176 (1), 579.
• [15] DAUGHNEY C.J., REEVES R.R., Analysis of temporal trends in New Zealand’s groundwater quality based on data from the National Groundwater Monitoring Programme, J. Hydrol. (NZ), 2006, 45 (1), 41.
• [16] KANNEL P.R., KANEL S.R., LEE S., Chemometrics in assessment of seasonal variation of water quality in fresh water systems, Environ. Mon. Asses., 2011, 174 (1–4), 529.
• [17] GEORGE P., GERASIMOULA D., NICOLAOS L., A long-term study of temporal hydrochemical data in a shallow lake using multivariate statistical techniques, Ecol. Model., 2006, 193 (3), 759.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).