Characterization of groundwater potability and irrigation potential in Uttar Pradesh, India using water quality index and multivariate statistics

Abstract

This study includes groundwater quality data from 290 monitoring sites from 69 districts of Uttar Pradesh, India. The analysis of the data showed that 98.97, 24.48, 52.07, and 68.97% of groundwater samples had concentrations of electrical conductivity (EC), total hardness (TH), Mg2+, and HCO3−, respectively, higher than the maximum permissible limit. Groundwater quality index (GWQI) was calculated for these 290 monitoring sites which revealed that 21 sites (7.24%) had inappropriate GWQI for drinking water, and 18 sites (6.21%) had an unsuitable index for irrigation. Most of the sampling sites (98.97%) showed high EC contents in groundwater with a mean value of 999.33 μS/cm. Fluoride content was found within the permissible limits in 95.52% of the samples, while 4.48% had high concentrations. The use of hierarchical cluster analysis differentiated all the sites into two clusters: one with high pollution and the other with low pollution. Significant correlations exist between physicochemical and irrigation indicators in the correlation matrix. High loadings of EC, TH, Ca2+, Mg2+, Na+, Cl−, and SO42− were identified in the first principal component, which are thought to be pollution-controlled processes from anthropogenic sources. According to the Chadha diagram, CaHCO3 and Ca–Mg–HCl were the two most prevalent chemicals in the water. HIGHLIGHTS Water quality data from 290 sites in 69 districts in Uttar Pradesh were calculated.; Water quality index for drinking, ranging from excellent (1.38%) to unsuitable (7.24%).; Water quality index for irrigation ranges from none (83.79%) to severe (6.21%).; The significant correlations between physicochemical and irrigation indicators in the correlation matrix.; Confirmation of less fluoride contamination.;

Keywords

• groundwater quality
• multivariate statistics
• suitability of drinking and irrigation
• water quality index