Data for the evaluation of groundwater quality using water quality index and regression analysis in parts of Nalgonda district, Telangana, Southern India

• Main Authors: K. Saikrishna, D. Purushotham, V. Sunitha, Y. Sudharshan Reddy, D. Linga, B. Kiran Kumar
• Format: Article
• Language: English
• Published: Elsevier 2020-10-01
• Series: Data in Brief
• Subjects: Groundwater; WQI; Correlation coefficients; Regression analysis; Linear plots
• Online Access: http://www.sciencedirect.com/science/article/pii/S235234092031129X

The main focus of this study is to evaluate the groundwater quality through drinking water quality index and regression analysis in semi-arid region and the results are examined with reference to the drinking water quality standards laid down by WHO. Water quality index (WQI) was determined from fourteen physicochemical parameters like pH, EC, TDS, total hardness, total alkalinity, sodium, potassium, calcium, magnesium, chloride, bromide, nitrate, sulphate and fluoride. The drinking water quality index values range from 32.8 - 442.4, indicating three categories i.e. poor, very poor and unfit, which are inappropriate for drinking. Regarding correlation analysis results, EC, TDS, TH, Na+, Mg2+, Ca2+ and Cl− shows high correlation. Most of the parameters are more or less correlated with each other, regression relations have the same correlation coefficients and pH, Na+, EC, TDS, Mg2+, Ca2+, Cl−, SO42−, CO32−, TH were significantly positively correlated (R>0.9), indicate the increase in the pollution load.