Since
implementing
China's
Clean
Air
Action
Plan,
O3
concentration
has
risen
sharply
and
not
been
effectively
alleviated.
Eastern
China
is
densely
populated
economically
developed,
it
also
the
area
with
most
severe
NO2
pollution.
With
continuous
strengthening
of
NOx
emission
reduction
efforts
in
recent
years,
formation
sensitivity
(OFS)
different
regions
gradually
changed.
In
this
study,
we
first
constructed
transport
networks
each
season
from
2017
to
2020
summarized
trend
changes
clustering
patterns
by
comparing
analyzing
topological
characteristics
years.
Next,
diagnosed
OFS
during
study
period
using
satellite
remote
sensing
data.
The
results
showed
that
activity
was
more
active
spring
summer,
followed
autumn,
weakest
winter,
while
autumn
summer.
Meanwhile,
eastern
mainly
consisted
transitional
regimes
NOx-limited
conversely,
main
regime
VOC-limited
all
other
seasons.
Notably,
there
a
significant
upward
proportion
Finally,
based
on
transmission
feature
change
trends
complex
networks,
clusters
province
city
belongs
pollutant
networks.
On
basis,
can
establish
cross-regional
cooperation
for
formed
seasons,
weaken
regional
pollution
consistency,
block
important
paths.
Atmosphere,
Год журнала:
2025,
Номер
16(5), С. 512 - 512
Опубликована: Апрель 28, 2025
Understanding
the
correlation
between
PM2.5
and
O3
is
critical
for
complex
air
pollution
control.
This
study
comprehensively
analyzed
characteristics,
uncovered
spatiotemporal
variations
in
their
correlation,
investigated
driving
mechanisms
of
association
Dongying,
a
typical
petrochemical
city
China’s
Bohai
Bay
region.
Results
showed
that
PM2.5–O3
Dongying
exhibited
significant
seasonal
variations,
spatial
patterns,
concentration
threshold
effects
from
2017
to
2023.
strong
positive
correlations
summer,
negative
winter,
weak
spring/autumn,
with
strongest
links
western
areas.
The
occurred
summer
when
≤
35
μg·m−3
>160
μg·m−3,
while
was
winter
>
75
100
μg·m−3.
Meteorological
conditions
(T
20
°C,
RH
<
30%,
wind
speed
1.73
m/s,
Ox
125
μg·m−3)
non-sea-breeze
periods
enhanced
correlation.
During
four
episodes,
propelled
by
synchronous
increases
secondary
components
via
shared
precursors.
In
autumn,
positivity
resulted
component–O3
(r
0.7)
dominance
formation
PM2.5.
stemmed
primary
emissions
inhibiting
photochemistry.
Random
forest
analysis
Ox,
RH,
T
drove
photochemistry
whereas
NO
titration
caused
offers
guidance
collaborative
control
cities
Ecological Indicators,
Год журнала:
2022,
Номер
146, С. 109802 - 109802
Опубликована: Дек. 19, 2022
High-intensity
human
socioeconomic
activities
in
Xi'an
have
caused
fine
particulate
matter
(PM2.5)
pollution.
Understanding
the
spatial
and
temporal
patterns
key
factors
influencing
PM2.5
concentration
was
basic
step
for
taking
targeted
measures.
Thus,
analysis
techniques
are
used
to
reveal
distribution
characteristics
of
over
a
long
time
series;
wavelet
Geo-detector
models
applied
assess
strength
association
between
meteorological
socio-economic
conditions
on
concentrations.
The
results
illustrated
that
average
40.13
μg/m3
2004
peaked
at
62.06
2011,
before
failing
38.77
by
2018.
had
characteristic
high
winter
autumn
but
low
spring
summer,
presenting
U-shaped
profile.
main
concentrations
oriented
northeast-southwest
direction,
with
obvious
autocorrelation
aggregation
characteristics.
resonance
cycles
elements
were
synchronous
divergent
different
scales.
U-wind
factor
positive
correlation
coefficient
0.9.
Before
interaction
temperature
(Tem)
relative
humidity
(RH)
greatest
impact
Additionally,
land
use
cover
change
(LUCC)
coupled
other
large
influence
These
relationships
can
shed
new
light
underlying
mechanisms
contamination
city
level,
assisting
relevant
departments
developing
effective
pollution
management
strategies.
Frontiers in Public Health,
Год журнала:
2023,
Номер
11
Опубликована: Авг. 3, 2023
Extreme
temperatures
and
air
pollution
have
raised
widespread
concerns
about
their
impact
on
population
health.
To
explore
the
quantitative
exposure
risks
of
high/low
types
pollutants
health
various
populations
in
urban
areas
China,
this
study
assessed
effects
temperature
daily
non-accidental
deaths
Rencheng
District,
Jining
City,
China
from
2019
to
2021.
A
combination
Poisson
regression
models
distributed
lag
non-linear
was
used
examine
relationships
between
temperature,
pollutants,
deaths.
We
found
that
had
a
significant
effect
mortality.
Both
high
low
noticeable
deaths,
with
heat
occurring
immediately
lasting
2-3
days,
while
cold
lasted
for
6-12
days.
The
relative
PM2.5,
NO2,
SO2
were
highest
winter
lowest
autumn.
risk
O3
spring,
no
variations
other
seasons.
Older
adults
(≥75)
outdoor
workers
at
greatest
pollutant
exposure.
Exposure
extreme
District
associated
an
increased
mortality
rate.
Under
influence
climate
change,
it
is
necessary
policymakers
take
measures
reduce
among
residents.
