Abstract.
Long-term
PM2.5
data
are
needed
to
study
the
atmospheric
environment,
human
health,
and
climate
change.
measurements
sparsely
distributed
of
short
duration.
In
this
study,
daily
concentrations
estimated
from
1959
2022
using
a
machine
learning
method
at
4011
terrestrial
sites
in
Northern
Hemisphere
based
on
hourly
visibility
data,
which
extracted
Meteorological
Terminal
Aviation
Routine
Weather
Report
(METAR).
monitoring
is
target
learning,
other
related
variables
inputs.
The
training
results
show
that
slope
between
concentration
monitored
0.946±
0.0002
within
95
%
confidence
interval
(CI),
coefficient
determination
(R2)
0.95,
root
mean
square
error
(RMSE)
7.0
μg/m3,
absolute
(MAE)
3.1
μg/m3.
test
predicted
0.862
±
0.0010
CI,
R2
0.80,
RMSE
13.5
MAE
6.9
multiyear
United
States,
Canada,
Europe,
China,
India
11.2
8.2
20.1
51.3
μg/m3
88.6
respectively.
low
continues
decrease
2022.
States
increases
slightly
rate
0.38
μg/m3/decade
1990
decreases
-1.32
1991
Trends
Europe
positive
(5.69
μg/m3/decade)
1972
negative
(-1.91
1973
China
increasing
(3.04
3.35
μg/m3/decade,
respectively)
2012
decreasing
(-38.82
-42.84
2013
dataset
available
National
Tibetan
Plateau
/
Third
Pole
Environment
Data
Center
(https://doi.org/10.11888/Atmos.tpdc.301127)
(Hao
et
al.,
2024).
Land,
Год журнала:
2025,
Номер
14(4), С. 795 - 795
Опубликована: Апрель 7, 2025
Air
pollution
is
a
major
trigger
for
chronic
respiratory
and
circulatory
diseases.
As
key
component
of
air
pollution,
fine
particulate
matter
(PM2.5)
exposure
largely
determined
by
land
use
type
population
density.
However,
simultaneous
consideration
their
spatiotemporal
distribution
lacking
in
existing
studies
on
PM2.5
exposure.
In
this
paper,
we
first
assess
the
dynamic
evolution
patterns
Gansu
Province,
China,
from
2000
to
2020,
using
transfer
matrix
degree.
Population-weighted
(PWE)
then
evaluated
each
at
provincial,
city,
county
levels,
with
seasonal
variations
analyzed.
Spatial
autocorrelation
analysis
finally
performed
explore
exposure,
whereas
standard
deviation
ellipses
gravity
center
migration
models
highlight
spatial
characteristics
shifting
trends.
Experimental
results
showed
that
2010
was
turning
point
annual
provincial
level
an
initial
increase
followed
decrease.
Construction
had
highest
forest
lowest
(except
2005).
Exposure
levels
pattern:
higher
winter
spring
lower
summer
autumn.
At
city
southern
indicated
continuous
decline
across
all
types
since
2000.
exhibited
strong
positive
correlation,
fluctuating
convergence.
This
study
comprehensively
analyzes
multi-scale
differences
various
types,
contributing
provide
scientific
evidence
decision-making
support
mitigating
enhancing
coordinated
control
administrative
levels.
To
investigate
the
impact
of
seasonal
variations
in
particulate
matter
with
an
aerodynamic
diameter
2.5
µm
or
less
(PM2.5)
exposure
on
assisted
reproductive
technology
(ART)
outcomes.
This
retrospective
study,
conducted
at
First
People's
Hospital
Shangqiu,
analyzed
data
from
13,476
patients
who
underwent
ART
procedures
between
February
2018
and
December
2022.
Patients
were
categorized
based
PM2.5
levels.
A
generalized
additive
model
(GAM),
linear
regression
analysis,
multivariate
logistic
used
to
assess
relationship
outcomes,
including
oocyte
embryo
quality,
pregnancy
rates,
live
birth
miscarriage
rates.
Significant
differences
observed
number,
metaphase
II
(MII)
transferable
embryos,
good-quality
embryos
across
subgroups.
Pregnancy
rates
also
demonstrated
statistically
significant
variations.
Linear
analysis
revealed
a
consistent
negative
correlation
concentrations
key
Multivariate
adjusting
for
age
variations,
confirmed
association
both
(OR
=
0.995,
95%
CI:
0.994-0.996,
p
<
0.001)
0.996,
0.995-0.997,
0.001).
However,
no
was
found
GAM
further
identified
nonlinear,
threshold-like
outcomes
predictive
factors,
significantly
higher
spring,
summer,
autumn
compared
winter.
The
study
complements
existing
evidence
that
can
lead
decreased
success
births,
as
well
ART.
Future
research
should
focus
developing
strategies
mitigate
adverse
effects
environmental
pollution
Journal of Global Health,
Год журнала:
2025,
Номер
15
Опубликована: Апрель 11, 2025
In
recent
years,
many
studies
have
focused
on
the
effects
of
air
pollution
ocular
surface
health.
However,
there
is
currently
little
research
relationship
between
pterygium
and
pollution.
We
aimed
to
investigate
pollutants
solar
radiation
progression
in
adults
through
a
5-year
time
series
analysis.
After
collecting
meteorological
data
clinical
visits
for
Shanghai,
China
from
2017
2023,
we
established
distributed
lag
nonlinear
model
(DLNM)
statistical
also
conducted
subgroup
analysis
according
age
sex
impact
risk
factors
different
populations.
This
cohort
included
total
57
211
cases.
found
that
radiation,
particulate
matter
less
than
2.5
micrometre
(μm)
(PM2.5),
ozone
(O3)
nitrogen
dioxide
(NO2)
all
increased
outpatient
treatment
within
certain
concentration
range.
Among
them,
PM2.5
most
significant
effects.
The
relative
(RR)
value
was
highest
when
reach
peak
at
13
days.
Subgroup
showed
women
people
aged
55
65
years
were
more
susceptible
extremely
high
concentrations
PM2.5.
Our
results
suggested
addition
which
recognized
as
factor
pterygium,
exposure
seems
be
related
with
an
increase
pterygium.
More
targeted
prevention
early
interventions
strategies
remain
studied.
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1202 - 1202
Опубликована: Фев. 2, 2025
China’s
rapid
urbanization
has
spurred
economic
growth
and
posed
environmental
challenges.
We
investigate
the
relationship
between
multidimensional
pollution
by
a
fixed
effect
model
based
on
panel
data
of
70
cities
in
three
major
urban
agglomerations
Yangtze
River
Economic
Belt
during
2005–2020.
Overall,
aggravates
then
decreases
agglomerations,
which
is
closely
related
to
control
policies.
Environmental
shows
obvious
spatial
heterogeneities
five
levels
have
been
gradually
changed
from
high-value
low-value
levels.
In
Belt,
dominated
“High–High”
“Low–Low”
clusters.
Among
them,
clusters
move
eastwards,
while
concentrate
southeastwards.
Multidimensional
helps
alleviate
regional
pollution.
Economic,
social,
land
reduces
certain
extent.
Population
non-significant
Social
improved
Chengdu–Chongqing
agglomeration
(CC)
Delta
(YRD),
increased
population
middle
reaches
(MYD)
comprehensive
CC.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111630 - 111630
Опубликована: Янв. 27, 2024
Fine
particulate
matter
(PM2.5)
concentration,
a
crucial
indicator
reflecting
changes
in
air
quality,
has
frequently
been
used
previous
studies.
However,
the
effects
of
large-scale
ecological
restoration
(ER)
projects
on
PM2.5
concentrations
are
often
overlooked.
Therefore,
we
net
primary
productivity
(NPP)
as
an
ER
engineering
benefits,
ensemble
empirical
modal
decomposition
(EEMD)
to
reveal
trend
linear
and
nonlinear
relationships
driven
by
different
types
amounts
projects,
utilized
Extreme
Gradient
Boosting
(XGBoost)
Shapley's
Additive
Interpretation
(SHAP)
values
quantify
impact
each
factor
long-term
concentrations.
The
results
suggest
that:
(1)
better
describes
change,
with
shift
from
increasing
decreasing
areas
covering
74.15%
China's
area,
especially
four
major
zones;
(2)
concentration
exhibits
regional
effects,
L-L
H-H
aggregation
account
for
larger
proportion
distributed
low
high
concentrations,
respectively.
(3)
year
1990
marks
turning
point
36.8%
regions.
Across
regions
emerge:
dramatic
increase
before
implementation,
followed
slowing
growth
initial
stages
project,
ultimately
gradual
decrease.
(4)
While
contribution
decrease
is
lower
than
caused
human
activities
climate
plant
newly
main
which
project
suppresses
its
growth.
These
findings
highlight
influence
addition
provide
theoretical
basis
scientific
technological
support
quantifying
suppression
pollution
projects.
