Abstract
Rapid
industrial
development
increases
soil
contamination
risks
in
suburban
agricultural
areas;
however,
the
extent
and
sources
of
heavy
metal(loid)s
pollution
during
this
process
are
not
well
understood.
This
study
investigated
concentrations,
spatial
distribution,
potential
(As,
Hg,
Cd,
Cr,
Pb)
wheat
samples
from
an
area.
The
found
that
Cd
was
main
pollutant
with
highest
enrichment
factor
15.9
21.6%
having
concentrations
exceeding
China's
limit
0.1
mg/kg.
Soil
As,
Pb
were
concentrated
northwest,
while
Cr
high
southeast.
is
more
severe
than
other
poses
a
slight
ecological
risk.
Monte
Carlo
simulations
showed
hazard
quotient
for
all
five
less
1,
being
highest.
1.35%
children
0.87%
adults
exceeded
carcinogenic
risk
level
0.54%
exhibited
above
threshold
Cr.
Children
most
sensitive
to
exposure
contaminated
areas,
metal(loid)s)
concentration
key
influencing
health
risks.
Source
apportionment
via
PCA-APCS-MLR
model
correlation
analysis
revealed
originated
activities
industrial-traffic.
assessed
pollution,
risks,
sources,
residents
consumption,
providing
evidence
managing
food
safety.
Toxics,
Год журнала:
2025,
Номер
13(1), С. 40 - 40
Опубликована: Янв. 7, 2025
Road
dust
carries
various
contaminants
and
causes
urban
non-point
source
pollution
in
waterbodies
through
runoff.
samples
were
collected
each
month
two
years
then
sieved
into
five
particle
size
fractions.
The
concentrations
of
ten
heavy
metals
(As,
Cd,
Cr,
Cu,
Hg,
Mn,
Ni,
Pb,
Zn,
Fe)
fraction
measured.
load
index,
coefficient
divergence,
Nemerow
integrated
risk
index
used
to
analyze
the
temporal
variation
ecological
different
advanced
three-way
model
wavelet
analysis
quantitative
identification
time-series
sources.
Results
showed
that
both
most
a
decreasing
trend
from
finest
(P1)
coarsest
(P5).
frequency
P1
posing
extreme
was
about
times
P5.
Main
types
metal
sources
similar
among
fractions,
whereas
impact
intensity
these
varied
Traffic
exhaust
tended
accumulate
finer
particles,
its
contribution
Cu
P5
only
35-55%
other
Construction
contributed
more
coarser
Pb
increased
45.34%
65.35%
Wavelet
indicated
traffic
periodicities
5-8
10-13
months.
Fuel
combustion
displayed
strongest
periodicity
12-15
months,
peaking
winter.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(21), С. 14264 - 14264
Опубликована: Ноя. 1, 2022
Tailings
resulting
from
mining
and
smelting
activities
may
cause
soil
heavy-metal
pollution
harm
human
health.
To
evaluate
the
environmental
impact
of
heavy
metals
tailings
on
farmland
soils
in
surrounding
area,
(As,
Cd,
Cr,
Cu,
Ni,
Pb,
Zn)
vicinity
a
typical
copper
pond
were
analyzed.
Contamination
status,
potential
sources,
health
risks
for
investigated.
The
results
showed
that
contained
high
concentration
Cu
(1136.23
mg/kg).
concentrations
Cd
exceeded
quality
standard.
geoaccumulation
index
(Igeo)
indicated
moderately
polluted
by
slightly
Zn.
absolute
principal
component
scores-multiple
linear
regression
(APCS-MLR)
model
was
applied
source
apportionment.
release
is
main
heavy-metals
contamination,
accounting
35.81%,
followed
agricultural
(19.41%)
traffic
emission
(16.31%).
risk
assessment
suggested
children
study
region
exposed
to
non-carcinogenic
caused
As,
while
adults
carcinogenic
both
at
acceptable
levels.
It
necessary
take
effective
measures
control
contamination
releases
protect
humans,
especially
children,
adverse
risks.
Environmental Technology & Innovation,
Год журнала:
2023,
Номер
30, С. 103076 - 103076
Опубликована: Фев. 22, 2023
Excessive
accumulation
of
heavy
metals
(HMs)
in
sediments
poses
significant
threats
to
the
aquatic
ecosystems.
This
study
comprehensively
determined
spatial
distribution,
sources,
and
ecological
risks
eight
HMs
85
surface
lower
reach
estuary
Yangtze
River
(YR),
third
longest
river
world.
Our
results
revealed
that
mean
concentrations
As,
Cd,
Cr,
Cu,
Hg,
Ni,
Pb,
Zn
were
11.32,
0.57,
87.31,
37.39,
0.10,
34.97,
32.27,
108.38
mg
kg
−1,
respectively.
The
contamination
assessment
Cd
Hg
significantly
higher
than
other
HMs.
had
a
variation,
with
concentration
riverine
estuarine
sediments.
source
apportionment
anthropogenic
activities
highest
contribution
occurrence
(78.53%),
including
industrial
activities,
shipping
transportation,
agricultural
production.
area
risk
because
its
dense
industrialization.
Besides,
large
diffusion
into
ocean
also
substantially
reduced
Altogether,
our
findings
provide
better
understanding
causes
sediment
HM
contamination.
Hence,
this
work
can
be
used
as
guide
help
government
efficiently
prevent
control
similar
areas.
