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

被引:13
|
作者
Saikrishna, K. [1 ]
Purushotham, D. [2 ]
Sunitha, V. [3 ]
Reddy, Y. Sudharshan [3 ]
Linga, D. [2 ]
Kumar, B. Kiran [2 ]
机构
[1] Kakatiya Univ, Dept Geol, Warangal 506009, Telangana, India
[2] CSIR, Natl Geophys Res Inst, Hyderabad 500007, Telangana, India
[3] Yogi Vemana Univ, Dept Geol, Kadapa 516005, India
来源
DATA IN BRIEF | 2020年 / 32卷
关键词
Groundwater; WQI; Correlation coefficients; Regression analysis; Linear plots;
D O I
10.1016/j.dib.2020.106235
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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. (C) 2020 The Authors. Published by Elsevier Inc.
引用
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页数:12
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