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

© 2020 The Authors. Published by Elsevier Inc..

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-, SO4 2-, CO3 2-, TH were significantly positively correlated (R>0.9), indicate the increase in the pollution load.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:32

Enthalten in:

Data in brief - 32(2020) vom: 29. Okt., Seite 106235

Sprache:

Englisch

Beteiligte Personen:

Saikrishna, K [VerfasserIn]
Purushotham, D [VerfasserIn]
Sunitha, V [VerfasserIn]
Reddy, Y Sudharshan [VerfasserIn]
Linga, D [VerfasserIn]
Kumar, B Kiran [VerfasserIn]

Links:

Volltext

Themen:

Correlation coefficients
Groundwater
Journal Article
Linear plots
Regression analysis
WQI

Anmerkungen:

Date Revised 28.09.2020

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.dib.2020.106235

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315109335