Ecotoxicology and Environmental Safety,
Journal Year:
2020,
Volume and Issue:
208, P. 111548 - 111548
Published: Nov. 11, 2020
In
order
to
understand
the
pollution
status
of
groundwater
with
geochemical
evolution
and
appraisal
its
probable
public
health
risk
due
nitrate
(NO3–)
fluoride
(F–),
a
total
93
samples
were
collected
during
pre-monsoon
(May)
period
from
Wardha
sub-basin,
central
India.
By
employing
Piper
plot,
transition
Ca–HCO3
type
water
(recharge
waters)
Na–Cl
(saline
water)
through
mixed
Ca–Na–HCO3,
Ca–Mg–Cl
(reverse
ion
exchange
Ca–Cl
types
(leachate
waters),
observed.
The
Geogenic
processes
such
as
silicate,
dolomite,
halite
carbonate
weathering
along
calcite
precipitation
process
identified
major
controlling
factors
for
alteration
chemistry.
Saturation
index
highlighted
that
in
area
is
oversaturated
respect
mineral
under
saturated
gypsum,
fluorite
halite.
high
NO3–
F–
concentration
overpassing
permissible
limit
found
54.8%
18.5%
samples.
plot
Na+/Ca2+,
Na+/Mg2+
F–/Cl–
established
bearing
rock
responsible
contamination.
Based
on
cluster
analysis,
was
grouped
into
Cluster-I
Ca–Na–HCO3
(61.3%)
Cluster-II
Na–Ca–HCO3–Cl
(30.1%).
hazard
(HI)
based
human
assessment
(HHRA)
model
cumulative
toxicity
oral
dermal
pathways
computed
100%,
97.85%
96.77%
children,
female
male
populations
respectively.
HQ(nitrate)
>
1
ingestion
pathway
84.95%,
68.82%
62.37%,
HQ(fluoride)
83.87%,
62.37%
43.01%
recorded
population
study
very
severe
impact
contaminated
health.
Human and Ecological Risk Assessment An International Journal,
Journal Year:
2019,
Volume and Issue:
26(6), P. 1603 - 1621
Published: May 14, 2019
Groundwater
quality
is
defined
by
various
water
parameters.
The
aims
of
the
research
are
to
understand
relationships
among
different
groundwater
parameters
and
trace
sources
affecting
factors
pollution
via
statistical
multivariate
techniques.
36
shallow
samples
collected
from
pumping
wells
in
Yan'an
City
were
analyzed
for
Correlation
analysis,
principal
component
analysis
(PCA),
hierarchical
cluster
(HCA),
multivariable
linear
regressions
(MLR)
jointly
used
this
study
explore
pollution.
reveals
that
mineral
dissolution/precipitation
anthropogenic
input
main
physicochemical
indices
elements
groundwater.
chemistry
predominantly
regulated
natural
processes
such
as
dissolution
carbonates,
silicates,
evaporates
soil
leaching,
followed
human
activities
second
factor.
Climatic
land
use
types
also
important
chemistry.
Cl–
greatest
contributor
overall
revealed
two
regression
models.
first
model
which
has
eight
dependent
variables
high
reliability
stability,
recommended
prediction.
helpful
understanding
variation
urban
areas.