Abstract
Groundwater sources are getting contaminated as a result of various natural processes and anthropogenic activities, which have been a key environmental concern globally due to its direct impact on the health and environment (Machiwal and Jha, 2015; Hajigholizadeh and Melesse, 2017; Kotoky et al., 2017). This calls for an effective management programme including groundwater quality assessment and mapping that takes into account constant monitoring of the entire groundwater resource, thereby providing unswerving information about the intrinsic possessions of groundwater and its quality (Singh et al., 2004; Hajigholizadeh and Melesse, 2017).
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References
Alberto, W.D., María del Pilar, D., María Valeria, A., Fabiana, P.S., Cecilia, H.A. and María de los Ángeles, B. (2001). Pattern Recognition Techniques for the Evaluation of Spatial and Temporal Variations in Water Quality. A case study: Suquía River Basin (Córdoba–Argentina). Water Research, 35: 2881–2894. https://doi.org/10.1016/S0043-1354(00)00592-3.
APHA/AWWA/WEF. (2012). Standard Methods for the Examination of Water and Wastewater, 20th edn. American Public Health Association/American Water Works Association/Water Environment Federation, Washington DC, USA.
Dalal, S.G., Shirodkar, P.V., Jagtap, T.G., Naik, B.G. and Rao, G.S. (2010). Evaluation of Significant Sources Influencing the Variation of Water Quality of Kandla Creek, Gulf of Katchchh, Using PCA. Environmental Monitoring and Assessment, 163: 49–56. https://doi.org/10.1007/s10661-009-0815-y.
Dash, S., Borah, S.S. and Kalamdhad, A. (2018). Monitoring and assessment of Deepor Beel water quality using multivariate statistical tools. Water Practice & Technology, 13(4): 893–908. doi: 10.2166/wpt.2018.098.
Hajigholizadeh, M. and Melesse, A.M. (2017). Assortment and spatiotemporal analysis of surface water quality using cluster and discriminant analyses. Catena, 151: 247–258. https://doi.org/10.1016/j.catena.2016.12.018.
Filik Iscen, C., Emiroglu, Ö., Ilhan, S., Arslan, N., Yilmaz, V. and Ahiska, S. (2008). Application of multivariate statistical techniques in the assessment of surface water quality in Uluabat Lake, Turkey. Environmental Monitoring and Assessment, 144(1): 269–276. doi: 10.1007/s10661-007-9989-3.
Kotoky, P., Sarma, B. and Kotoky, E. (2017). Assessment and mapping of fluoride contamination of groundwater of the Hatigaon area of Assam, India using geographic information system. International Journal of Science and Research (IJSR), 6: 1692. doi: 10.21275/ART20172734.
Machiwal, D. and Jha, M.K. (2015). Identifying sources of groundwater contamination in a hard-rock aquifer system using multivariate statistical analyses and GIS-based geostatistical modeling techniques. Journal of Hydrology: Regional Studies, 4: 80–110. https://doi.org/10.1016/j.ejrh.2014.11.005.
Pesce, S.F. and Wunderlin, D.A. (2000). Use of water quality indices to verify the impact of Córdoba City (Argentina) on Suquı́a River. Water Research, 34(11): 2915–2926. doi: https://doi.org/10.1016/S0043-1354(00)00036-1.
Sahu, B.K., Begum, M., Khadanga, M.K., Jha, D.K., Vinithkumar, N.V. and Kirubagaran, R. (2013). Evaluation of significant sources influencing the variation of physico-chemical parameters in Port Blair Bay, South Andaman, India by using multivariate statistics. Marine Pollution Bulletin, 66: 246–251. https://doi.org/10.1016/j.marpolbul.2012.09.021.
Shrestha, S. and Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji River Basin, Japan. Environmental Modelling & Software, 22: 464–475. https://doi.org/10.1016/j.envsoft.2006.02.001.
Singh, K.P., Malik, A., Mohan, D. and 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 Research, 38: 3980-3992. https://doi.org/10.1016/j.watres.2004.06.011.
WHO (1993). Basic epidemiology, ISBN 92 4 154446 5.
Wilks, D.S. (2011). Cluster analysis. International Geophysics, 100: 603–616.
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Kotoky, P., Das, B., Kalamdhad, A., Kumar, B. (2022). Statistical and GIS Based Approaches for Monitoring and Assessment of Groundwater Quality of Dimoria Block of Kamrup Metropolitan District of Assam, India. In: Haq, I., Kalamdhad, A.S., Dash, S. (eds) Environmental Degradation: Monitoring, Assessment and Treatment Technologies. Springer, Cham. https://doi.org/10.1007/978-3-030-94148-2_17
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