Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2151 - 2151
Published: Dec. 10, 2024
Accurately
identifying
pollution
risks
and
sources
is
crucial
for
regional
land
resource
management.
This
study
takes
a
certain
coastal
county
in
eastern
China
as
the
object
to
explore
spatial
distribution,
risk,
source
apportionment
of
heavy
metals
topsoil.
A
total
633
samples
were
collected
from
topsoil
with
depth
ranging
0
20
cm,
which
came
different
topographical
use
types
(e.g.,
farmland,
industrial
areas,
mining
areas),
concentrations
HMs
As
measured
by
using
atomic
fluorescence
spectrometry
inductively
coupled
plasma
mass
spectrometry.
Firstly,
distribution
soil
(Cd,
Cr,
Hg,
Ni,
Pb)
arsenic
(As)
was
predicted
incorporating
environmental
variables
strongly
affecting
formation
into
geostatistical
methods
machine
learning
approaches.
Then,
various
indicators
employed
conduct
evaluations,
potential
ecological
risk
assessments
implemented
based
on
generated
map.
Finally,
conducted
random
forest
(RF),
absolute
principal
component
score–multiple
linear
regression
(APCS-MLR),
correlation
analysis,
As.
Findings
this
research
reveal
that
RF
approach
yielded
best
prediction
performance
(0.59
≤
R2
0.73).
The
Nemerow
geoaccumulation
indices
suggest
levels
exist
area.
average
As,
Ni
are
7.233
mg/kg,
0.051
27.43
mg/kg
respectively,
being
1.14
times,
1.27
1.15
times
higher
than
background
levels,
respectively.
central–northern
region
presented
slight
Hg
Cd
identified
primary
factors.
Natural,
agricultural,
transportation,
activities
main
sources.
These
findings
will
assist
design
targeted
policies
reduce
urban
offer
useful
guidelines
similar
regions.
Arabian Journal of Chemistry,
Journal Year:
2024,
Volume and Issue:
17(6), P. 105777 - 105777
Published: April 5, 2024
Soil
contamination
by
lead,
zinc,
iron,
manganese,
and
copper
is
a
widespread
environmental
issue
associated
with
the
mining
industry.
Primary
sources
include
activities,
production
processing
operations,
waste
disposal
management
practices,
atmospheric
sediments.
degradation,
water
pollution
impacting
aquatic
ecosystems,
plant
absorption
leading
to
agricultural
product
contamination,
health
risks
exposure
copper,
along
effects
on
fauna
biodiversity,
constitute
primary
impacts
of
contamination.
In
this
study,
diverse
sampling
analysis
methods,
geographic
information
systems,
remote
sensing
techniques
are
investigated
for
monitoring
assessing
soil
these
metals.
modification
techniques,
phytoremediation,
other
strategies
reduction
considered
among
most
crucial,
alongside
protection
risk
strategies.
Finally,
article
explores
innovative
methods
solutions
mineral
remediation,
application
green
chemistry
sustainable
practices
in
industry,
utilization
artificial
intelligence
controlling
heavy
metal
ion
pollution.
Frontiers in Plant Science,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 24, 2025
This
study
aimed
to
identify
suitable
plants
for
remediating
metal
pollution
in
copper
tailing
soil
and
supporting
ecological
reclamation
Dongchuan,
Yunnan,
focusing
on
three
major
mining
regions:
Tangdan,
Yinmin,
Lanniping.
The
Nemerow
comprehensive
index
was
employed
evaluate
the
contamination
levels,
enrichment
transfer
capacities
of
dominant
Cd,
Cu,
Pb,
Zn
were
analyzed
remediation
candidates.
findings
revealed
severe
soil,
with
Cu
as
primary
pollutant,
a
rate
77.778%.
A
total
96
plant
species
from
42
families
87
genera
recorded,
including
29
across
17
26
genera,
herbs
comprising
62.068%
types.
Among
tested
plants,
Leucaena
leucocephala,
Rumex
acetosa,
Festuca
rubra,
Salix
balfouriana
exhibited
significantly
higher
capacities,
rendering
them
restoration.
highest
membership
function
score
5.298
identified
preferred
restoration
Dongchuan
area.
Correlation
analysis
positive
relationship
between
content
underground
parts
both
organic
matter
(OM)
rhizosphere
whereas
negative
correlation
observed
pH.
area
is
severely
contaminated
by
metals,
mainly
Cu.
S.
emerged
most
candidate
accumulation.
establishes
theoretical
framework
application
promotion
phytoremediation
technology
tailings
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 4002 - 4002
Published: April 4, 2025
In
recent
decades,
heavy
industrial
discharges
have
caused
severe
soil
and
groundwater
pollution.
Many
areas
previously
occupied
by
industries
are
now
represented
lands
contaminated
the
accumulation
of
toxic
metals,
which
pose
serious
risks
to
human
health,
plants,
animals,
surrounding
ecosystems.
Among
various
potential
solutions,
solidification
stabilization
(S/S)
technique
represents
one
most
effective
technologies
for
treating
disposing
a
wide
range
wastes.
This
study
focuses
on
theoretical
definition
green
material
mix,
will
subsequently
be
used
in
process
soils,
optimizing
mix
ensure
treatment
effectiveness.
The
design
was
developed
through
literature
analysis,
representing
preliminary
study.
paper
explores
application
S/S
using
additives,
including
Portland
cement,
fly
ash
(FA),
ground
granulated
blast
furnace
slag
(GGBFS),
other
waste
materials,
create
an
innovative
soils.
main
objective
is
reduce
permeability
solubility
contaminants
while
simultaneously
improving
mechanical
properties
treated
materials.
studied
soils
described
along
with
those
materials
used,
providing
comprehensive
overview
optimization
resulting
mixtures.
