International Journal of Engineering Science and Technology,
Journal Year:
2025,
Volume and Issue:
16(4), P. 11 - 19
Published: Jan. 13, 2025
Groundwater
quality
variation
due
to
consequent
changes
in
the
standard
of
living
a
community
is
great
unease
owing
fact
that
groundwater
regarded
as
one
significant
water
supply
sources
available.
For
sustainable
use
resources
and
management,
monitoring
assessment
acts
catalyst
for
an
appropriate
judgment
on
quality.
In
this
study,
samples
were
collected
from
Lingayas
Institute
Management
Technology
(LIMAT),
Vijayawada
campus
Mudirajupalem,
Krishna
district,
Andhra
Pradesh,
India
assessing
alkalinity,
total
dissolved
solids
(TDS),
pH,
acidity
hardness
(TH)
using
methods.
Very
high
values
pH
TDS
obtained
which
within
vicinity
agricultural
fields.
Added
this,
Student’s
t
test
analysis
signposted
noteworthy
P
value
(<0.001)
mean
difference
was
substantial
statistically.
The
Mudirajupalem
further
affirmed
unfit
drinking,
evident
index
(WQI)
values.
This
study
emphasizes
implementing
various
locale
specific
rainwater
garnering
schemes,
solution
augmenting
recharge
maintaining
balance.
Water,
Journal Year:
2024,
Volume and Issue:
16(19), P. 2748 - 2748
Published: Sept. 27, 2024
Groundwater
salinization
poses
a
critical
threat
to
sustainable
development
in
arid
and
semi-arid
rurbanizing
regions,
exemplified
by
Kerman
Province,
Iran.
This
region
experiences
groundwater
ecosystem
degradation
as
result
of
the
rapid
conversion
rural
agricultural
land
urban
areas
under
chronic
drought
conditions.
study
aims
enhance
Pollution
Risk
(GwPR)
mapping
integrating
DRASTIC
index
with
machine
learning
(ML)
models,
including
Random
Forest
(RF),
Boosted
Regression
Trees
(BRT),
Generalized
Linear
Model
(GLM),
Support
Vector
Machine
(SVM),
Multivariate
Adaptive
Splines
(MARS),
alongside
hydrogeochemical
investigations,
promote
water
management
Province.
The
RF
model
achieved
highest
accuracy
an
Area
Under
Curve
(AUC)
0.995
predicting
GwPR,
outperforming
BRT
(0.988),
SVM
(0.977),
MARS
(0.951),
GLM
(0.887).
RF-based
map
identified
new
high-vulnerability
zones
northeast
northwest
showed
expanded
moderate
vulnerability
zone,
covering
48.46%
area.
Analysis
revealed
exceedances
WHO
standards
for
total
hardness
(TH),
sodium,
sulfates,
chlorides,
electrical
conductivity
(EC)
these
areas,
indicating
contamination
from
mineralized
aquifers
unsustainable
practices.
findings
underscore
model’s
effectiveness
prediction
highlight
need
stricter
monitoring
management,
regulating
extraction
improving
use
efficiency
riverine
aquifers.
Chemosphere,
Journal Year:
2024,
Volume and Issue:
359, P. 142305 - 142305
Published: May 11, 2024
The
widespread
presence
of
arsenic
(As)
and
fluoride
(F-)
in
groundwater
poses
substantial
risks
to
human
health
on
a
global
scale.
These
elements
have
been
identified
as
the
most
prevalent
geogenic
contaminants
northern
Mexico.
Consequently,
this
study
aimed
evaluate
ecological
associated
with
content
As
F-
Meoqui-Delicias
aquifer,
which
is
one
Mexico's
emblematic
irrigation
districts.
Concentrations
were
measured
38
samples
using
ICP-MS
ion
chromatography,
respectively.
Overall,
these
showed
similar
trend
across
revealing
positive
correlation
between
them
pH.
concentration
ranged
from
5.3
μg/L
303
0.5
mg/L
8.8
mg/L,
Additionally,
levels
surpassed
established
national
standards
for
safe
drinking
water
92%
97%
samples,
Given
that
used
both
agricultural
purposes
activities,
also
assessed
posed
by
Monte
Carlo
simulation
Species
Sensitivity
Distribution.
findings
disclosed
significant
noncarcinogenic
risk
exposure
F-,
well
an
unacceptable
carcinogenic
through
consumption
adults
children.
Furthermore,
high
aquatic
species
was
medium
sampling
sites.
Therefore,
provide
valuable
information
Mexican
authorities
international
organizations
(e.g.,
WHO)
about
adverse
effects
any
without
treatment
region
represents
health.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(12), P. e32992 - e32992
Published: June 1, 2024
The
current
study
integrates
remote
sensing,
machine
learning,
and
physicochemical
parameters
to
detect
hydrodynamic
conditions
groundwater
quality
deterioration
in
non-rechargeable
aquifer
systems.
Fifty-two
water
samples
were
collected
from
all
resources
Siwa
Oasis
analyzed
for
physical
(pH,
T°C,
EC,
TDS)
chemical
(SO42−,
HCO3−,
NO3−,
Cl−,
CO32−,
SiO2,
Mg2+,
Na+,
Ca2+,
K+),
trace
metals
(AL,
Fe,
Sr,
Ba,
B,
Mn).
A
digital
elevation
model
supported
by
learning
was
used
predict
the
change
land
cover
(surface
lake
area,
soil
salinity,
logging)
its
effect
on
deterioration.
circulation
interaction
between
deep
(NSSA)
shallow
(TCA)
detected
pressure-depth
profile
of
27
production
wells
penetrating
NSSA.
facies
evolution
systems
(Ca–Mg–HCO3)
first
stage
(freshwater
NSSA)
changed
(Na–Cl)
type
last
(brackish
TCA
springs).
Support
vector
successfully
predicted
rapid
increase
hypersaline
area
22.6
km2
60.6
within
30
years,
which
deteriorated
a
large
part
cultivated
land,
reflecting
environmental
risk
over-extraction
irrigation
agricultural
flooding
technique
lack
suitable
drainage
network.
waterlogging
due
reduction
infiltration
rate
(low
permeability)
quaternary
aquifer.
cause
this
issue
could
be
complete
saturation
with
chrysotile,
calcite,
talc,
dolomite,
gibbsite,
chlorite,
Ca-montmorillonite,
illite,
hematite,
kaolinite
K-mica
(saturation
index
>1),
giving
chance
these
minerals
precipitate
pore
spaces
decrease
rate.
NSSA
is
appropriate
irrigation,
whereas
inappropriate
potential
salinity
magnesium
risks.
best
way
manage
use
underground
drip
combine
