Environmental Advances,
Journal Year:
2024,
Volume and Issue:
16, P. 100548 - 100548
Published: May 22, 2024
Leachate
from
sanitary
landfill
and
dumpsites
have
potential
to
cause
soil
groundwater
contamination,
disrupt
ecosystems.
However,
there
is
little
information
about
dumpsite
leachates
geotechnical
properties
their
impacts
on
surface
in
Bono
region,
Ghana.
This
study
assessed
leachate,
of
the
soil,
quality
Sunyani.
Six
triplicate
leachates,
eleven
three
water
samples
were
taken
at
(up-stream,
mid-stream
down-stream)
urban
dumpsite,
eight
around
peri-urban
dumpsite.
Water
stored
(<4°C)
polyethylene
bottle
for
laboratory
analysis.
Physicochemical
leachate
analyzed
using
standard
methods.
Heavy
metals
(Cd,
Hg,
Pb,
Zn,
Cr,
Fe,
Cu,
Ni)
determined
atomic
absorption
spectroscopy.
index
(WQI)
pollution
loads
(LPL)
investigated,
while
plasticity
(Ip)
liquid
(Il)
Atterberg
limit
test.
The
results
showed
that
all
heavily
polluted
with
mean
concentrations
chlorides
ranged
between
(2830±220
63810±340),
biochemical
oxygen
demand
(358±36
820±80),
ammonium
ions
(82.8±2.2
267.6±62),
cadmium
(0.49±0.02
5.32±1.0);
(LPI)
LPL
exceeding
disposal
standards
(LDS>100).
WQI
6.51
289,
indicating
excellent
sources.
Surface
was
0.84
776.75,
majority
having
WQI>100.
located
75-155
m
away
Moderate
significant
negative
association
established
(WQI-P
WQI-H)
distance
multiple
R2=0.4709,
p=0.0191
R2=
0.4482,
p=0.02425
respectively.
Statistically,
strong
&
Ip
(p
<
0.05).
implies
when
sources
increased,
values
decreased,
improved.
Environmental Geochemistry and Health,
Journal Year:
2024,
Volume and Issue:
46(8)
Published: July 5, 2024
Abstract
Water
scarcity
is
a
growing
concern
due
to
rapid
urbanization
and
population
growth.
This
study
assesses
spring
water
quality
at
20
stations
in
Giresun
province,
Türkiye,
focusing
on
potentially
toxic
elements
physicochemical
parameters.
The
Quality
Index
rated
most
samples
as
"excellent"
during
the
rainy
season
"good"
dry
season,
except
4
(40°
35′
12″
North/38°
26′
34″
East)
19
44′
28″
06′
53″
West),
indicating
"poor"
quality.
Mean
macro-element
concentrations
(mg/L)
were:
Ca
(34.27),
Na
(10.36),
Mg
(8.26),
K
(1.48).
trace
element
values
(μg/L)
Al
(1093),
Zn
(110.54),
Fe
(67.45),
Mn
(23.03),
Cu
(9.79),
As
(3.75),
Ni
(3.00),
Cr
(2.84),
Pb
(2.70),
Co
(1.93),
Cd
(0.76).
Health
risk
assessments
showed
minimal
non-carcinogenic
risks,
while
carcinogenic
from
arsenic
slightly
exceeded
safe
limits
(CR
=
1.75E−04).
Higher
were
increased
recharge,
arsenic-laden
surface
runoff,
human
activities.
Statistical
analyses
(PCA,
PCC,
HCA)
suggested
that
metals
physico-chemical
parameters
originated
lithogenic,
anthropogenic,
or
mixed
sources.
Regular
monitoring
of
recommended
mitigate
potential
public
health
risks
waterborne
contaminants.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102831 - 102831
Published: Sept. 1, 2024
Water
quality
assessment
and
prediction
play
crucial
roles
in
ensuring
the
sustainability
safety
of
freshwater
resources.
This
study
aims
to
enhance
water
by
integrating
advanced
machine
learning
models
with
XAI
techniques.
Traditional
methods,
such
as
index,
often
require
extensive
data
collection
laboratory
analysis,
making
them
resource-intensive.
The
weighted
arithmetic
index
is
employed
alongside
models,
specifically
RF,
LightGBM,
XGBoost,
predict
quality.
models'
performance
was
evaluated
using
metrics
MAE,
RMSE,
R2,
R.
results
demonstrated
high
predictive
accuracy,
XGBoost
showing
best
(R2
=
0.992,
R
0.996,
MAE
0.825,
RMSE
1.381).
Additionally,
SHAP
were
used
interpret
model's
predictions,
revealing
that
COD
BOD
are
most
influential
factors
determining
quality,
while
electrical
conductivity,
chloride,
nitrate
had
minimal
impact.
High
dissolved
oxygen
levels
associated
lower
indicative
excellent
pH
consistently
influenced
predictions.
findings
suggest
proposed
approach
offers
a
reliable
interpretable
method
for
prediction,
which
can
significantly
benefit
specialists
decision-makers.
Iranian Journal of Science and Technology Transactions of Civil Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Abstract
Water
pollution
has
become
a
growing
threat
to
human
society
and
natural
ecosystems
in
recent
decades.
It
increases
the
need
understand
surface
water
quality
assessment
better
using
chemometric
tools
within
aquatic
systems.
This
study
sampled
of
21
parameters
at
multiple
sampling
points
Jabi
Lake
during
wet
dry
seasons
(August–December
2021)
various
statistical
methods
including
cluster
analysis,
principal
component
analysis/factorial
discriminant
box
plot
analysis.
These
samples
were
examined
for
physicochemical
employing
standard
techniques.
The
revealed
significant
seasonal
variations
quality.
During
season,
key
measurements
included
total
dissolved
solids
(100.40
mg/l),
oxygen
(13.72
electrical
conductivity
(97.14
µs/cm).
season
showed
higher
levels
most
parameters,
with
137.91
mg/l
230.93
µs/cm.
Statistical
analysis
identified
strong
correlations
between
notably
phosphate
hardness
(
r
=
0.978,
α
0.05)
pH
temperature
0.995,
0.05).
four
components
explaining
98.5–100%
variance,
representing
sources
organic
waste,
domestic
sewage,
factors.
findings
indicated
that
more
polluted,
some
exceeding
World
Health
Organisation
standards,
suggesting
potential
health
risks.
research
demonstrated
effectiveness
multivariate
techniques
analysing
complex
data
provided
valuable
insights
resource
management,
particularly
regarding
variations'
impact
on
