The Influence of Freeze–Thaw Process on the Dynamic Changes in Body Weight and Metal in Groundwater of Seasonal Frozen Lakes: Experimental Study and Model Simulation
Hui Zhang,
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Shengnan Zhao,
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Xiaohong Shi
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et al.
Toxics,
Journal Year:
2025,
Volume and Issue:
13(4), P. 288 - 288
Published: April 9, 2025
To
investigate
the
changes
in
heavy
metal
content
sub
glacial
water
during
freezing
and
thawing
process
of
seasonally
frozen
lakes,
Wuliangsuhai
Lake
northern
China
was
taken
as
research
object.
The
ice
thickness,
depth,
at
different
depths
lake
were
measured
periods.
Based
on
a
large
amount
data,
MATLAB
2022b
software
is
used
to
model
data
fitting
optimization
identification,
wavelet
analysis
24
h
sliding
average
method
are
for
verification
describe
variation
concentration
with
depth
time.
results
show
that
periods
level
constantly
changing,
but
below
follows
same
distribution
depth.
During
process,
increases
increase
thickness.
A
new
numerical
describing
spatiotemporal
metals
under
period
obtained
through
calculation.
overall
trend
simulated
contour
lines
consistent
values
has
small
error.
This
study
provides
reference
predicting
cover
cold
arid
regions.
can
be
simulate
times.
Language: Английский
Analysis of Heavy Metal Sources in Xutuan Mining Area Based on APCS-MLR and PMF Model
Jieyu Xia,
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Liangmin Gao,
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Jinxiang Yang
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et al.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(8), P. 4249 - 4249
Published: April 11, 2025
The
present
study
aims
to
determine
the
concentrations
and
forms
of
Copper
(Cu),
Lead
(Pb),
Zinc
(Zn),
Chromium
(Cr),
Cadmium
(Cd),
Arsenic
(As)
in
water
sediments
Xutuan
mining
area.
geoaccumulation
index
(Igeo)
ecological
risk
assessment
coding
(RAC)
methods
were
used
assess
heavy
metal
pollution
levels
risks
sediments.
positive
matrix
factorization
(PMF)
model
absolute
principal
component
score-multiple
linear
regression
(APCS-MLR)
quantitatively
analyze
sources
metals
evaluated
results
showed
good
quality
Cu,
Cr,
Zn,
As
mainly
residual
form,
while
Cd
Pb
organic
matter
combined
form.
Igeo
RAC
that
degree
higher
APCS-MLR
PMF
models
analyzed
contributions
natural
(72.5%
25.1%)
anthropogenic
sources,
respectively,
further
distinguished
coal
(26.4%),
agricultural
(21.44%),
traffic
(27.05%)
sources.
Language: Английский
Geo-Spatial Insights into Heavy Metal Contamination and Ecological Implications in River Sediments: Identifying Agrochemical Impacts Through Pollution Indices in Morocco’s Sidi Allal Tazi Region, Sebou Basin
Hatim Sanad,
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Rachid Moussadek,
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Latifa Mouhir
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et al.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
Sediments
in
agricultural
ecosystems
serve
as
critical
indicators
of
environmental
pollution,
particularly
regions
subjected
to
intensive
practices.
This
research
evaluates
the
hazards
and
implications
heavy
metal
(HM)
contamination
river
sediments
from
Sidi
Allal
Tazi
area
within
Morocco’s
Sebou
basin.
Twenty
sediment
samples
were
extracted
strategically
designated
locations,
levels
analyzed
using
a
multi-index
integration
approach,
multi-statistical
analyses
(MSA),
Geographic
Information
Systems
(GIS).
The
results
revealed
considerable
spatial
variability
HM
concentrations,
with
Cd
As
displaying
highest
levels.
Statistical
analysis,
incorporating
Principal
Component
Analysis
(PCA),
identified
anthropogenic
activities
primary
contributors
contamination.
Hierarchical
Cluster
(HCA)
categorized
metals
based
on
common
pollution
pathways,
while
GIS
mapping
distribution
across
vulnerable
areas.
Pollution
like
Geo-accumulation
Index
(I
geo)
well
Load
(PLI).
that
75%
sites
under
“very
high
pollution”,
emphasizing
severity
Contamination
Factor
(CF)
classified
90%
100%
contamination”.
Risk
indices
indicated
significant
ecological
threats,
contributing
an
RI
exceeding
600
many
areas,
signifying
risk”.
These
findings
highlight
urgent
need
for
targeted
mitigation
strategies
sustainable
methodologies
provides
comprehensive
framework
assessing
managing
contamination,
offering
insights
policymakers
managers.
Language: Английский
Soil Heavy Metal Pollution and Health Risk Assessment Based on Monte Carlo Simulation: Case Study of Xicheng Lead-Zinc Mining Area
Lixia Wang,
No information about this author
Qiang Liu,
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Ronglong Bai
No information about this author
et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 3963 - 3963
Published: April 28, 2025
To
investigate
the
status
of
heavy
metal
pollution
and
associated
ecological
health
risks
in
farmland
surrounding
Xicheng
lead
zinc
mining
area,
we
collected
soil
samples
(0–20
cm)
measured
level
As,
Ni,
Cu,
Zn,
Cd,
Pb,
Hg,
Cr.
The
characteristics
metals,
levels,
ecological,
were
quantitatively
assessed
using
Monte
Carlo
simulation
conjunction
with
geo-accumulation
index
(Igeo),
(Pi),
risk
(Er),
human
assessment
model.
results
indicated
that
average
concentrations
Cr
study
area
26.92,
39.46,
31.18,
340.23,
1.13,
184.61,
0.34,
71.15
mg·kg−1,
respectively.
These
values
significantly
higher
than
background
levels
reported
for
Gansu
Province.
Igeo
Hg
was
3.27,
Er
679.13,
indicating
had
highest
accumulation
posed
greatest
area.
single-factor
Cd
2.52,
marking
it
as
level.
cumulative
probability
derived
from
indicates
non-carcinogenic
hazard
indices
adults
children
2.79
×
10−1
1.67,
respectively,
94.82%
exceeding
threshold.
carcinogenic
(TCR)
8.09
10−5
4.60
10−4,
100%
exceeded
TCR
standard
children.
As
identified
primary
contributors
to
both
risks.
findings
enhance
our
understanding
contamination
soils
establish
an
empirical
framework
developing
targeted
remediation
approaches
sustainable
land
management
practices.
Language: Английский
Risk Assessment as a Tool to Improve Water Resource Management
Water Resources Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 21, 2024
Language: Английский
Universal Coherence of Elements in River‐Fed Earth‐Human Systems
Water Resources Research,
Journal Year:
2024,
Volume and Issue:
60(12)
Published: Nov. 30, 2024
Abstract
Elements
are
the
indelible
imprint
left
by
Earth
on
rivers
and
life
entities.
Here,
we
unveil
evident
inheritance
of
persistent
elements,
from
Earth's
upper
continental
crust,
through
Yellow
River,
to
associated
entities
along
a
5,200
km
continuum
Mother
River
Chinese
nation.
In
particular,
confirm
coherence
“metal
community”
composed
more
than
60
detected
metallic
elements
throughout
water,
suspended
particulate
matter,
sediment
in
river,
further
extend
such
elemental
correlations
fish
species
even
tissues
human
body.
Our
study
also
reveals
an
interesting
fact
that
media‐specific
metal
abundance
occurs
inverse
order
with
toxicity,
microbial
cells
river
tend
establish
their
own
self‐defense
systems
against
toxic
metals
hosting
higher‐level
resistance
genes.
These
findings
not
only
stress
needs
for
integrated
trace
element
provision,
but
highlight
fundamental
importance
river‐coordinated
Earth‐life
establishing
drinking
water
dietary
standards
benefit
ecological
health.
Language: Английский