Processes,
Год журнала:
2024,
Номер
12(12), С. 2829 - 2829
Опубликована: Дек. 10, 2024
Heavy
metals
were
discharged
into
the
agricultural
soil
through
coal
mining,
transportation,
etc.,
posing
a
threat
to
human
health
food
chain.
In
order
investigate
sources
of
heavy
and
potential
risk
population,
we
collected
298
surface
samples
in
black
area
Sanjiang
Plain
Heilongjiang
province
tested
concentrations
seven
metals.
Toxic
element
contamination
was
evaluated
by
combining
ecological
index
environmental
capacity,
pollution
are
identified
positive
matrix
factorization.
The
results
indicate
that
Cd
As
exceed
background
values
1.74
1.51
times,
respectively,
is
significantly
higher
than
those
other
toxic
elements.
comprehensive
level
moderate
at
78.5%
low
21.5%.
metal
elements
include
pesticide
spraying
(36.5%),
input
fertilizer
transport
activities
(20.5%),
mining
metallurgy-related
(43.1%).
When
linking
PMF
Human
Health
Risk
Assessment
model,
it
found
about
56%
pose
carcinogenic
children.
Knowledge
can
certainly
help
understand
risks
people
provide
scientific
basis
for
prevention
pollution.
Land,
Год журнала:
2025,
Номер
14(4), С. 712 - 712
Опубликована: Март 26, 2025
Soil
heavy
metal
(HM)
contamination
has
become
a
critical
global
environmental
issue,
predominantly
caused
by
industrial
and
agricultural
operations.
This
study
focuses
on
Mount
Wuyi,
UNESCO
biodiversity
hotspot
major
tea
production
base,
to
examine
vegetation-mediated
soil
HM
accumulation
under
anthropogenic
impacts.
We
analyzed
nine
HMs
(Mn,
Cu,
Zn,
Cd,
Hg,
As,
Pb,
Cr,
Ni)
across
diverse
vegetation
types
using
geochemical
indices
Positive
Matrix
Factorization
(PMF)
modeling.
The
findings
revealed
Mn
Zn
were
dominant
elements,
Cr
Pb
concentrations
exceeded
regional
background
values
3.47
1.26
times,
respectively.
demonstrated
significant
pollution
levels,
while
Cd
Hg
posed
the
highest
ecological
risks.
Vegetation
type
significantly
influenced
distribution
patterns,
with
cultivated
areas
shrublands
(including
gardens)
accumulating
higher
of
from
transportation
sources.
Notably,
bamboo
forests
exhibited
natural
resistance
contamination.
PMF
analysis
identified
four
primary
sources:
urbanization
(27.94%),
transport–agriculture
activities
(21.40%),
practices
(12.98%),
atmospheric
deposition
(12.96%).
These
results
underscore
need
for
implementing
clean
energy
solutions,
phytoremediation
strategies,
tea-specific
detoxification
measures
maintain
security
sustainability
in
this
ecologically
region.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 23, 2025
The
issue
of
soil
heavy
metal
contamination
has
garnered
significant
global
attention,
with
the
identification
sources
and
their
driving
factors
being
crucial
for
prevention
management
pollution.
This
study
introduces
a
comprehensive
source-driver
model
integrating
Positive
Matrix
Factorization
(PMF)
model,
Geographically
Weighted
Regression
(GWR),
Geo-detector
Model
(GDM).
Inductively
Coupled
Plasma
Mass
Spectrometry
(ICP-MS)
was
employed
to
quantify
concentrations
eight
metals
in
soils
lower
reaches
Qian
River.
findings
revealed
that:
(1)
average
8
did
not
exceed
risk
screening
thresholds
environmental
quality.
Specifically,
mean
Ni,
Zn,
As,
Cd
were
42.16,
102.07,
18.23,
0.32
mg
kg-1,
respectively,
which
are
1.46,
1.47,
3.7,
6.17
times
higher
than
background
values
Shaanxi
Province,
exhibiting
coefficient
variation
0.58.
high
degree
is
attributed
anthropogenic
activities.
Spatially,
each
more
heavily
concentrated
southeastern
northwestern
regions
area.
(2)
results
PMF
showed
that
area
mainly
came
from
nature,
industry,
agriculture,
traffic,
contribution
source
19.12%,
23.42%,
36.85%
20.61%.
Notably,
agricultural
emerged
as
predominant
contributors
pollution
region.
(3)
GDM
GWR
distance
village,
type
elevation
main
drivers
provides
reference
analysis
sources,
can
provide
theoretical
basis
control
