In present study, geophysical and geostatistical variability of ground water and agricultural soil investigated in the Jaipur region of Rajasthan (Western India) by applying the geographic information system (GIS), vertical electrical sounding (VES) ,and statistical analysis. Ground water and soil samples collected from different sites from the selected study area and variation pattern of quality parameters were assessed. A contour map analysis of distribution of metals and other contaminants in the samples was conducted using GIS. Maximum concentration of metals recorded in the soil samples in order of Fe, 11.25 mg kg-1 > Mn, 8.6 mg kg-1 > Zn, 7.2 mg kg-1 > Cu, 0.455 mg kg-1; however, maximum concentration of metals in the ground water samples was found as Zn, 2.64 mg L-1 > Cu, 0.86 mg L-1 > Fe, 0.39 mg L-1 > Mn, 0.18 mg L-1 > Pb, 0.065 mg L-1 > Ni, 0.016 mg L-1. Observed data emphasis variability in groundwater and soil quality parameter by PCA technique indicated 84.60% and 66.98% of variance, respectively. Soil quality index (SQI) value was observed as 0.482 indicating that 46% of soil sampling sites deteriorated and shown poor quality. Similarly, water quality index (WQI) value indicates good water quality at the sampling sites TW1, TW8, TW10, and TW12; however, TW3, TW4, TW6, TW19, TW20, and TW22 sites showed very poor water quality. The present study concludes that overexploitation of groundwater and unregulated discharge of wastewater leads to depletion of water and soil quality. Further, applying geographical and geostatistical techniques in assessing water and soil quality could be more effective tools in environmental monitoring and management for environmental and health safety.
Keywords: Bioaccumulation; Bioavailability; Biotransformation; Contamination; Groundwater; Metals; Principal component analysis (PCA); Water quality.
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.