The overall study aims in evaluating the hydro geochemical quality index for the drinking purpose around the Thiruvallur district of Tamil Nadu. In the current scenario, it is much more important for investigating several factors for influencing the groundwater quality and also the overall suitability for the drinking purpose. Furthermore, the survey was done by the Central Ground Water Board (CGWB) in several blocks and several sites within the district of Thiruvallur between Krishna and Cauvery River basin. The survey is done for understanding the overall pH level and also for analysing the level of the chemical contaminants are increasing or decreasing. After the overall analysis it is seen that, the pH level was maximum in in the year 2016 and minimum in the year of 2010. Therefore, it proves that the purity of the groundwater is decreased in the recent years. Hence, the water quality index of that area is falling under the excellent category and the groundwater is suitable for the purpose of drinking water. The current research paper has detected that, presence of different geo physical components in drinking water is beneficial. Four specific areas were chosen to collect water sample. Collection of water sample from different areas helped to detect the irrigation suitability in Tamil Nadu. The accessibility of the groundwater is much important goal, and these effects are felt within the developing countries. The actual benefits for understanding the geochemistry of groundwater are only for ensuring the better quality of water for drinking purposes.

1.
CGWB
,
2021
.
Water quality reports.
[Online]. Available at: http://cgwb.gov.in/wqreports.html. [Accessed on: 1 February, 2022]
2.
Dandge
,
K. P.
, and
Patil
,
S. S.
(
2022
), “
Spatial distribution of ground water quality index using remote sensing and GIS techniques
”.
Applied Water Science
,
12
(
1
)
3.
Elubid
,
B. A.
,
Huang
,
T.
,
Ahmed
,
E. H.
,
Zhao
,
J.
,
Elhag
,
K. M.
,
Abbass
,
W.
, and
Babiker
,
M. M.
(
2019
), “
Geospatial Distributions of Groundwater Quality in Gedaref State Using Geographic Information System (GIS) and Drinking Water Quality Index (DWQI
)”,
International Journal of Environmental Research and Public Health
,
16
(
5
),
731
.
4.
Galinskaitė
,
L.
,
Ulevičius
,
A.
,
Valskys
,
V.
,
Samas
,
A.
,
Busher
,
P.E.
and
Ignatavičius
,
G.
, (
2022
), “
The Influence of Landscape Structure on Wildlife–Vehicle Collisions: Geostatistical Analysis on Hot Spot and Habitat Proximity Relations. ISPRS
”,
International Journal of Geo-Information
,
11
(
1
), p.
63
.
5.
Maleki
,
M.
and
Madani
,
N.
, (
2022
), “
Multivariate geostatistical analysis: An application to ore body evaluation
”,
Iranian Journal of Earth Sciences
,
8
(
2
), pp.
173
184
.
6.
Mateu
,
J.
and
Giraldo
,
R.
, (
2022
), “
Introduction to Geostatistical Functional Data Analysis
”,
Geostatistical Functional Data Analysis
, pp.
1
25
.
7.
Mohammed-Aslam
,
M.
, and
Rizvi
,
S. S.
(
2020
), “
Hydrogeochemical characterisation and appraisal of groundwater suitability for domestic and irrigational purposes in a semi-arid region, Karnataka state, India
”,
Applied Water Science
,
10
(
12
)
8.
Raj
,
S.
,
Shaveta
,
L.
,
Shard
,
C.
,
Kumar
,
V.
,
Singh
,
R.
,
Litoria
,
P. K.
,
Singh
,
R. P.
,
andBrijendra
,
P.
(
2021
), “
Spatio-temporal variations in water quality, hydrochemistry and its controlling factors in a perennial river in India
”,
Applied Water Science
,
11
(
11
)
9.
Sadik
,
M.
,
andAznarul
,
I.
(
2021
), “
Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique
”,
Applied Water Science
,
11
(
7
)
10.
Senoro
,
D.B.
,
de Jesus
,
K.L.M.
,
Mendoza
,
L.C.
,
Apostol
,
E.M.D.
,
Escalona
,
K.S.
and
Chan
,
E.B.
, (
2022
), “
Groundwater Quality Monitoring Using In-Situ Measurements and Hybrid Machine Learning with Empirical Bayesian Kriging Interpolation Method
”,
Applied Sciences
,
12
(
1
), p.
132
.
11.
Sharma
,
R.
,
Kumar
,
R.
,
Satapathy
,
S. C.
,
Al-Ansari
,
N.
,
Singh
,
K. K.
,
Mahapatra
,
R. P.
,
Agarwal
,
A. K.
,
Le
,
H. V.
, and
Pham
,
B. T.
(
2020
), “
Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River
”,
Frontiers in Environmental Science
,
12.
Subramanian
,
R.
,
Vidhya
,
R.
and
Mariappan
,
V.N.
, (
2018
), “
Assessment of long term water quality values (WQV) and index (WQI): Environmental perspectives
”,
Eco. Env. Cons.
,
24
, pp.
S392
S402
.
13.
Yellapu
,
S. P.
, and
Rao
,
B. V.
(
2018
), “
Monitoring and assessment of groundwater quality in a khondalitic terrain, Andhra Pradesh, India
”,
Environmental Monitoring and Assessment
,
190
(
7
),
1
23
. .
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