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.
Agronomy,
Год журнала:
2025,
Номер
15(2), С. 435 - 435
Опубликована: Фев. 10, 2025
Total
mercury
pollution
in
oolong
tea
garden
soils
was
comprehensively
investigated
this
study.
Soil
samples
were
collected
from
146
villages
a
famous
production
area.
The
total
content
the
ranged
0.025
to
0.296
mg/kg,
with
median
of
0.105
mg/kg.
According
Accumulation
Index
Method,
67.81%
pollution-free,
31.51%
had
levels
none
moderate,
and
0.68%
moderately
polluted.
PMF
model
revealed
that
natural
geochemical
processes
main
source,
contributing
72.4%,
some
transportation,
coal
combustion,
industrial
activities.
Most
values
below
HQ
threshold,
suggesting
low
non-carcinogenic
risk
most
soils.
Further
research
is
needed
understand
mercury’s
bioaccumulation
leaves
assess
short-
long-term
exposure
risks
for
better
understanding
its
impacts
on
industry
human
health.
Plants,
Год журнала:
2025,
Номер
14(9), С. 1315 - 1315
Опубликована: Апрель 26, 2025
This
study
assessed
air
quality
in
Yancheng,
China,
using
moss
biomonitoring.
The
species,
Haplocladium
microphyllum
was
chosen,
and
mosses
were
collected
from
67
sites
across
Yancheng
during
July
August
2022.
concentrations
of
Al,
Co,
Cr,
Cu,
Fe,
Mn,
Ni,
Pb,
Zn,
V,
nitrogen
determined,
the
spatial
distribution
temporal
trends
atmospheric
trace
metals
deposition
explored
by
comparing
current
data
with
that
a
similar
conducted
2017.
In
2022,
high
found
northern
southwestern
whereas
lower
observed
southern
southeastern
for
central
nitrogen.
Since
2017,
Cr
have
increased,
while
V
has
declined,
no
notable
changes
other
Contamination
factor
analysis
indicated
Pb
Cu
contamination
levels
escalated
moderate
slight
(2017)
to
severe
(2022),
respectively.
Positive
Matrix
Factorization
(PMF)
model
identified
five
dominant
sources
2022
mosses:
natural
source
(21.4%),
traffic
emission
(17.84%),
fuel
combustion
derived
coal
heavy
oil
(22.71%),
agricultural
activities
(19.37%),
industrial
(18.68%).
highlights
significance
biomonitoring,
along
inventories,
as
essential
tools
evaluating
Yancheng.
Atmosphere,
Год журнала:
2024,
Номер
15(6), С. 721 - 721
Опубликована: Июнь 16, 2024
Ventilation
may
lead
to
a
deterioration
in
indoor
air
quality
urban
environments
located
close
roads.
Understanding
the
differences
chemical
compositions
of
size-resolved
particulate
matter
(PM)
and
outdoor
could
aid
assessing
health
impacts
these
settings
establishing
relevant
regulation
policies.
In
this
study,
PM
was
collected
from
an
office
Beijing
summer
(between
5
25
July
2020)
winter
31
January
2021).
Its
components,
including
sulfate,
nitrate,
ammonium,
chlorine,
organic
(OM),
elemental
carbon
(EC),
crustal
materials
(CM),
heavy
metals
(HM),
were
analyzed.
The
mean
levels
PM2.1
PM9
found
be
much
higher
than
those
guidelines
for
PM2.5
PM10
outlined
by
National
Ambient
Air
Quality
Standard.
Moreover,
PM2.1–9
mass
outdoors
they
indoors.
size
distributions
concentrations
shown
bimodal,
peaking
at
0.43–0.65
μm
4.7–5.8
μm,
respectively.
most
abundant
chemicals
OM,
sulfate
CM,
nitrate
PM2.1–9.
We
percentages
EC,
HM
smaller-size
fractions
PM.
Additionally,
positive
matrix
factorization
showed
that
biomass
burning,
secondary
inorganic
aerosol,
coal
combustion,
dust,
traffic,
industrial
pollution
main
sources
during
study
period.
greatest
non-carcinogenic
carcinogenic
hazards
2.1–3.3
winter.
Our
results
indicate
ambient
origin
infiltrate
buildings
near
roads
varying
degrees,
resulting
negative
effects.
Heliyon,
Год журнала:
2024,
Номер
10(18), С. e38190 - e38190
Опубликована: Сен. 1, 2024
Apportioning
pollution
sources
under
compound
conditions
is
challenging
in
river
source
analysis.
The
positive
matrix
factorization
(PMF)
model
widely
used
to
analyze
sources.
However,
the
identification
of
pollutants
this
relies
primarily
on
subjective
experience
researchers,
leading
ineffective
different
contaminants
from
similar
In
study,
we
propose
a
comprehensive
deviation
index
(CDI)
quantitatively
identify
types
based
PMF
and
observed
profiles.
Taking
subtropical
Xizhijiang
River
Basin
as
case
identified
their
contributions
dissolved
organic
carbon
(DOC),
total
nitrogen
(TN),
phosphorus
(TP)
using
water
quality
data.
results
showed
that
eight
major
study
region
exhibited
significant
correlations,
indicating
similarity
pollutant
watershed.
three
primary
with
coefficients
determination
for
versus
predicted
concentrations
ranging
0.60
0.98.
CDI
unveiled
watershed's
were
farmland,
rural,
wastewater
treatment
plants
(WTPs).
Farmland
emerges
predominant
contributor
DOC
(68.04
%),
TC
(63.29
TDP
(44.51
%).
Rural
notably
contributes
NH
Research Square (Research Square),
Год журнала:
2024,
Номер
unknown
Опубликована: Апрель 8, 2024
Abstract
Mercury
is
a
highly
toxic
heavy
metal
pollutant,
which
can
be
detrimental
to
human
health,
yet
research
on
soil
mercury
contamination
in
tea
gardens
scarce.
This
work
investigated
the
characteristics
of
total
pollution,
source
analysis,
and
health
risk
assessment
by
obtaining
representative
garden
soils
from
146
villages
celebrated
production
region
that
renowned
for
its
oolong
(Wulong)
all
over
world.
It
was
found
contained
levels
ranging
0.025
0.296
mg/kg,
with
an
average
0.112
mg/kg.
The
analysis
showed
67.81%
samples
were
free
while
31.51%
exhibited
no
moderate
only
0.68%
classified
as
moderately
polluted,
based
Soil
accumulation
index
method.
content
has
strong
positive
relationship
carbon
(TC),
As,
Na,
V
(p
<
0.01),
well
significant
correlation
Zn
0.05),
negative
K
0.05).
Positive
matrix
factorization
(PMF)
model
revealed
natural
sources
major
contributor
presentence
this
region,
making
up
72.4%.
likely
daily
intake
through
consumption
studied
spans
0.011
0.132
micrograms
per
kilogram
body
weight
day
(ug/kg
bw/day),
0.050
ug/kg
bw/day,
predominantly
remaining
below
Hazard
Quotient
(HQ)
threshold.
study
systematically
investigates
potential
hazards
pollution
primary
Oolong
cultivation
regions,
emphasizing
need
future
assess
uptake
food
chain
consumption.
