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The aim of this study was to elucidate the contaminant sources and the processes controlling the groundwater quality and risk assessment of heavy metals posed on humans by statistical indices. The groundwater sampling was performed at Bodhjungnagar Industrial Estate, A.D. Nagar, Dukli and Badharghat Industrial Cluster, Tripura, India during pre-monsoon and post-monsoon in the year 2017. A total of 21 water quality parameters (Temp, pH, TDS, Ca, Mg, TH, Na, K, HCO 3 , Cl, SO 4 , PO 4 , NO 3 , F, Fe, Mn, Pb, Cd, As, Cu, Zn, and Cr) were determined from collected samples. The statistical and graphical methods were employed to assess the suitability of water. The water quality index (WQI) suggested that the majority of the samples are suitable for drinking purpose. The WATEQ4F model was applied to compute the saturation index (SI) of different minerals present in the water samples. Based on Piper plot the dominant water type is Ca-Cl in the study area. The Nemerow integrated pollution index (NIPI) indicates that the groundwaters of both industrial sites have moderately to highly deteriorated water with heavy metals. The hazard index (HI) revealed that amongst the population, chronic health risk was greater for children and considering the seasons, the risk was higher during the pre­monsoon season.

Investigation of the hydrogeochemistry, groundwater quality, and associated health risks in industrialized regions of Tripura, northeast India