Water,
Год журнала:
2024,
Номер
16(24), С. 3599 - 3599
Опубликована: Дек. 13, 2024
With
rapid
urbanization,
intensified
agricultural
activities,
and
industrialization,
groundwater
resources
are
increasingly
threatened
by
pollution.
Industrial
wastewater
discharge
the
extensive
use
of
fertilizers
in
particular,
have
had
substantial
impacts
on
quality.
This
study
examines
18
samples
collected
from
main
urban
area
Yibin
City
to
assess
hydrochemical
characteristics,
spatial
distribution,
source
attribution,
water
quality,
human
health
risks.
Statistical
analysis
reveals
significant
exceedances
TDS,
NO3−,
Mn,
As
levels
groundwater,
with
elevated
concentrations
B
as
well.
Isotopic
identifies
atmospheric
rainfall
primary
recharge
for
area,
water–rock
interactions
limestone
dissolution
playing
key
roles
shaping
its
chemical
composition.
Applying
Entropy-Weighted
Water
Quality
Index
(EWQI)
a
comprehensive
quality
assessment,
found
that
94.44%
were
rated
“good”,
indicating
relatively
high
overall
Deterministic
risk
assessments
indicate
72.22%
non-carcinogenic
risks
below
threshold
1,
while
66.67%
carcinogenic
1.00
×
10−4.
Monte
Carlo
simulations
produced
similar
results,
reinforcing
reliability
assessment.
Although
area’s
is
generally
good,
persists,
underscoring
need
ensure
safety
drinking
household
local
residents.
provides
valuable
reference
rational
management
remediation
resources.
Agriculture,
Год журнала:
2025,
Номер
15(9), С. 913 - 913
Опубликована: Апрель 22, 2025
Soil
environmental
protection
has
become
a
pressing
issue
for
sustainable
development.
This
study
collected
153
topsoil
samples
from
typical
agricultural
area
to
evaluate
the
contamination
characteristics
of
heavy
metal(loid)s
(HMs),
identify
their
potential
sources,
and
assess
associated
ecological
human
health
risks.
The
results
showed
that
mean
concentration
HMs
was
in
order
Zn
>
Cr
Ni
Pb
Cu
As
Cd
Hg;
all
were
below
background
levels,
except
Cd.
geo-accumulation
index
(Igeo)
improved
Nemerow
(INI)
revealed
overall
pollution
level
considered
as
no
or
slight
contamination,
while
posed
low
risk
according
hazard
factor
(Ei)
(PERI).
In
addition,
three
main
sources
identified
through
positive
matrix
factorization
(PMF)
model:
natural
source
(48.2%;
contributed
As,
Ni,
Cu,
Pb,
Zn),
coal
burning
waste
disposal
(24%;
Hg
Cd),
activities
(27.8%;
Cr).
(HHR)
assessment
model
Monte
Carlo
simulation
applied
risks,
suggested
children
faced
higher
risks
than
adults,
with
45.83%
exceeding
non-carcinogenic
acceptable
limit.
contributors
carcinogenic
respectively.
findings
local
management
development
agriculture.
Water,
Год журнала:
2025,
Номер
17(9), С. 1378 - 1378
Опубликована: Май 2, 2025
In
groundwater
quality
analysis,
nonlinear
models
are
typically
used,
with
domains
spanning
the
entire
real
number
line.
this
study,
alongside
these
(Logistic,
Gompertz
and
Richards),
defined
based
on
functions
whose
domain
is
only
positive
part
of
line
presented
(Michaelis–Menten,
Hill
1
2
Rosin–Rammler
2).
Two
case
studies
were
observed
in
paper:
(i)
dependence
nitrate
concentration
pumping
rate
Bartolovec
wellfield,
(ii)
distance
from
source
pollution
Varaždin
wellfield.
Both
wellfields
located
alluvial
aquifer
northwestern
Croatia.
way,
curves
obtained
basis
mentioned
mathematical
fitted
to
experimental
data.
The
results
show
a
good
fit,
so
that
values
coefficients
determination
R2
greater
than
0.82
for
study
0.96
(ii).
Since
differ
parameters
(e.g.,
three
Michaelis–Menten
five
Rosin–Rammler),
corrected
Akaike
information
criterion
(AICc)
was
used
their
comparison.
best
fit
model,
while
(ii),
it
model.
A
t-test
performed
all
models,
they
can
be
considered
reliable
at
significance
level
0.05.
However,
t-values
p-values
also
calculated
each
parameter
Based
results,
concluded
model
0.05
both
studies.
For
reason,
generally
demonstrates
superiority
restricted
numbers
1,
1)
over
traditional
Logistic,
Richards)
analysis.
These
findings
offer
practical
tools
predicting
contaminant
extremes
maximum/minimum
concentrations)
optimizing
management
strategies.
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 24, 2024
Abstract
The
study
explores
the
spatial
distribution
and
trends
of
groundwater
pollutants
focusing
on
calcium
four
other
key
water
quality
parameters
in
Gurage
Zone,
Ethiopia,
2024.
It
uses
ArcGIS
geostatistical
analysis
tool
with
Kriging
algorithm
to
map
analyze
variability
contaminants.
primary
aim
is
identify
areas
high
levels
understand
patterns.
identifies
contamination
hotspots
associated
natural
processes
human
activities.
Twenty-seven
samples
were
collected
from
various
sites,
like
calcium,
total
dissolved
solids,
hardness,
conductivity,
alkalinity
measured.
findings
show
that
contaminants
varies
significantly
across
different
areas,
some
exceeding
safe
drinking
limits.
reveals
southern
region
has
highest
concentration,
shallow
local
boreholes.
deeper
wells
have
higher
conductivity.
trend
shows
increased
pollutant
along
X
Y
axes.
model
effectively
predicted
unsampled
offering
a
reliable
technique
aimed
at
monitoring.
provides
important
insights
for
authorities
implement
interventions
protection
Zone.
