Appraisal of groundwater contamination and spatial variation using geostatistical modeling in Surguja district of Chhattisgarh, India

• Published in: Environmental earth sciences 2021-11, Vol.80 (22), p.760-760, Article 760
• Main Authors: Bhunia, Gouri Sankar, Shit, Pravat Kumar
• Format: Article
• Language: English
• Subjects: Anthropogenic factors; Bayesian analysis; Bayesian theory; Bicarbonates; Biogeosciences; Calcium; Calcium carbonate; Calcium ions; Calcium sulfate; Carbonates; chlorides; Contamination; Correlation coefficient; Correlation coefficients; Disintegration; Dissolved solids; Earth and Environmental Science; Earth Sciences; Empirical analysis; Environmental Science and Engineering; Fluorides; Geochemistry; Geology; Geostatistics; Groundwater; groundwater contamination; Groundwater pollution; Groundwater quality; Groundwater quality and contamination and the application of GIS; Hydrology/Water Resources; India; Interpolation; kriging; Magnesium; Nitrates; pH effects; Probability theory; Random sampling; Root-mean-square errors; Sampling methods; Spatial variations; Standard error; Statistical methods; Statistical sampling; Sulfates; Sulphates; Terrestrial Pollution; Thematic Issue; Total dissolved solids; Water analysis; Water quality; Water sampling
• ISSN: 1866-6280; 1866-6299
• DOI: 10.1007/s12665-021-10003-2

In several areas of Chhattisgarh, the disintegration of the content of groundwater by the anthropogenic activities is rising at an alarming pace. However, there is still limited information regarding groundwater quality. The present study develops a geostatistical-based water quality index (WQI) and analyzes the spatial variation of contamination zone within the study area. Water samples were collected and tested for different parameters from 55 different locations based on random sampling method. The physio-chemicals properties of water like pH, conductivity, total dissolved solids, calcium, magnesium, bicarbonate, carbonate, sulfate, chloride, nitrate, and fluoride were used for analysis. Pearson Correlation coefficient analysis showed strong and positive correlation between EC, HCO 3 − , and Cl − . Empirical Bayesian kriging (EBK) is used to interpolate the physio-chemical variables. In EBK interpolation, the lowest Root-Mean-Square Error (RMSE) and the standard error values were calculated for EC, HCO 3 − , SO 4 − , NO 3 − , Ca 2+ , Mg 2+ , and F − using K-Bessel model. The lowest RMSE value was calculated for pH (0.952), Cl − (1.016), Na + (0.905), and TH (0.979) using Whittle model of EBK interpolation technique. Results showed that north and north-east of the district are characterized by low groundwater quality and the north-west and central part of the district have very good groundwater quality. The very good WQI is covered by 1989.65 sq km (12.64%) of the study area.