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The Correlation and Regression Analysis of Physicochemical Parameters of River Water for the Evaluation of Percentage Contribution to Electrical Conductivity
Joint Authors
Shrestha, Arun Kumar
Basnet, Nabin
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Ten different water samples were collected from Ratuwa River and its tributaries.
The laboratory test was carried out by standard procedures (APHA methods), and the measured values were compared with the Nepal standard recommended by Nepal Drinking Water Quality Standards (NDWQS).
Statistical analysis also had been used to calculate the correlation coefficients and to plot the regression equations of various parameters with electrical conductivity.
The aim of the study was to identify the parameters that affect the electrical conductivity and evaluate the percentage contribution of these parameters.
The correlation matrix shows that color, total dissolved solids (TDS), chloride (Cl), fluoride (F), total phosphorus (TP), total alkalinity (TA), calcium (Ca), magnesium (Mg), sodium (Na), and dissolved oxygen (DO) have a significant effect on the electrical conductivity (EC).
Among these parameters, TDS has the highest contribution (39.65%) followed by total alkalinity (23.5%), total hardness (19.9%), chlorine (6.5%), and calcium (5.5%) ions, respectively.
However, color, TP, fluoride, and DO have almost 1.45% contribution to the electrical conductivity.
American Psychological Association (APA)
Shrestha, Arun Kumar& Basnet, Nabin. 2018. The Correlation and Regression Analysis of Physicochemical Parameters of River Water for the Evaluation of Percentage Contribution to Electrical Conductivity. Journal of Chemistry،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1182629
Modern Language Association (MLA)
Shrestha, Arun Kumar& Basnet, Nabin. The Correlation and Regression Analysis of Physicochemical Parameters of River Water for the Evaluation of Percentage Contribution to Electrical Conductivity. Journal of Chemistry No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1182629
American Medical Association (AMA)
Shrestha, Arun Kumar& Basnet, Nabin. The Correlation and Regression Analysis of Physicochemical Parameters of River Water for the Evaluation of Percentage Contribution to Electrical Conductivity. Journal of Chemistry. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1182629
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1182629