ORIGINAL RESEARCH
Assessment of Groundwater Quality
and Its Suitability for Drinking and Irrigation
Usage in Kanchipuram District of Palar Basin,
Tamilnadu, India
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1
Research Scholar, Department of Civil Engineering, Anna University, Chennai, Tamilnadu, India
2
Associate Professor, Department of Civil Engineering, Jerusalem College of Engineering, Chennai, Tamilnadu, India
Submission date: 2021-08-26
Final revision date: 2021-11-08
Acceptance date: 2021-12-14
Online publication date: 2022-03-23
Publication date: 2022-05-05
Corresponding author
Nandini Krishnan
Research Scholar, Department of Civil Engineering, Anna University, Chennai, India
Pol. J. Environ. Stud. 2022;31(3):2637-2649
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ABSTRACT
The physicochemical characteristics of groundwater quality are assessed for drinking and
irrigation purposes in the Palar sub-basin of the Kanchipuram district. Sixty-four groundwater samples
are collected from the deep bore well, and physicochemical parameters are analyzed. Evaluated
physicochemical parameters are assessed statistically and compared with WHO and BIS standards.
Spatial distribution of physicochemical parameters of the groundwater and Drinking Water Quality
Index (DWQI) in the study area is mapped in ArcGIS. The Piper trilinear diagram and Durov plot
analysis indicate that the sodium cation and bicarbonates anions are the major ions. According
to the Gibbs plot, the chemical weathering of rock-forming minerals is the main driving force which
influences water chemistry in this area. The Wilcox diagram and irrigation water quality indices are
used to evaluate the groundwater suitability for irrigation. The results reveal that most groundwater
samples are suitable for irrigation. The Pearson correlation shows that majority of the parameters are
positively correlated with each other. The DWQI in the study area ranges from 51.83 to 384.29 indicating
that the groundwater has deteriorated in the western and central regions of the study area, which
requires treatment before consumption and protection from geogenic and anthropogenic contamination.
Water users can be benefited from the prediction of groundwater quality in the study area.