Abstract.
Surface
ozone,
with
its
long
enough
lifetime,
can
travel
far
from
precursor
emissions,
affecting
human
health,
vegetation,
and
ecosystems
on
an
intercontinental
scale.
Recent
decades
have
seen
significant
shifts
in
ozone
emissions:
reductions
North
America
Europe,
increases
Asia,
a
steady
global
rise
methane.
Observations
Europe
show
declining
trends,
flattened
seasonal
cycle,
shift
peak
summer
to
spring,
increasing
wintertime
levels.
To
explain
these
changes,
we
use
TOAST
1.0,
novel
tagging
technique
implemented
the
atmospheric
model
CAM4-Chem
which
attributes
emissions
fully
by
NOX
or
VOC+CO+CH4
sources
perform
multi-decadal
simulations
for
2000–2018.
Model-simulated
maximum
daily
8
h
(MDA8
O3)
agrees
well
rural
observations
TOAR-II
database.
Our
analysis
reveals
that
local
contributions
peak-season
(PSO)
are
offset
rising
natural
(due
increased
productivity),
foreign
anthropogenic-
international
shipping
due
emissions.
Transported
dominates
during
spring.
Methane
is
largest
VOC
contributor
PSO,
while
NMVOCs
become
more
important
summer.
Contributions
anthropogenic
remain
smaller
than
those
NOX.
Despite
methane
levels,
contribution
PSO
has
declined
Abstract.
Surface
ozone,
with
its
long
enough
lifetime,
can
travel
far
from
precursor
emissions,
affecting
human
health,
vegetation,
and
ecosystems
on
an
intercontinental
scale.
Recent
decades
have
seen
significant
shifts
in
ozone
emissions:
reductions
North
America
Europe,
increases
Asia,
a
steady
global
rise
methane.
Observations
Europe
show
declining
trends,
flattened
seasonal
cycle,
shift
peak
summer
to
spring,
increasing
wintertime
levels.
To
explain
these
changes,
we
use
TOAST
1.0,
novel
tagging
technique
implemented
the
atmospheric
model
CAM4-Chem
which
attributes
emissions
fully
by
NOX
or
VOC+CO+CH4
sources
perform
multi-decadal
simulations
for
2000–2018.
Model-simulated
maximum
daily
8
h
(MDA8
O3)
agrees
well
rural
observations
TOAR-II
database.
Our
analysis
reveals
that
local
contributions
peak-season
(PSO)
are
offset
rising
natural
(due
increased
productivity),
foreign
anthropogenic-
international
shipping
due
emissions.
Transported
dominates
during
spring.
Methane
is
largest
VOC
contributor
PSO,
while
NMVOCs
become
more
important
summer.
Contributions
anthropogenic
remain
smaller
than
those
NOX.
Despite
methane
levels,
contribution
PSO
has
declined
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Jan. 15, 2025
Land
use
and
land
cover
changes
(LULCC)
alter
local
surface
attributes,
thereby
modifying
energy
balance
material
exchanges,
ultimately
impacting
meteorological
parameters
air
quality.
The
North
China
Plain
(NCP)
has
undergone
rapid
urbanization
in
recent
decades,
leading
to
dramatic
cover.
This
study
utilizes
the
2020
data
obtained
from
MODIS
satellite
replace
default
2001
Weather
Research
Forecasting-Community
Multiscale
Air
Quality
(WRF-CMAQ)
model.
It
simulates
analyzes
direct
impact
of
LULCC
on
indirect
ozone
(O3)
concentration
through
physical
chemical
processes
during
July
summer.
Six
rapidly
urbanizing
cities
were
selected
represent
Plain.
results
show
that
significantly
increased
sensible
heat
flux
2-m
temperature
areas
throughout
diurnal
cycle,
with
more
pronounced
effects
daytime,
ranging
6.49
23.46
W/m2
0.20–0.59
°C,
respectively.
10-m
wind
speed
decreased
at
night
day,
−
0.43
0.27
m/s
0.16
0.15
day.
planetary
boundary
layer
height
generally
increased,
a
larger
rise
23.63
84.74
m.
Simultaneously,
O3
concentrations
both
daytime
nighttime.
increase
ranged
2.89
9.82
μg/m3,
while
nighttime
1.76
7.77
μg/m3.
enhanced
as
well
vertical
transport,
an
O3.
At
same
time,
it
reduced
horizontal
transport
dry
deposition
processes.
These
are
related
variations.
was
not
limited
but
extended
top
(approximately
1500
m).
Below
500
m,
concentrations,
concentrations.
Additionally,
induced
by
showed
above
surface,
whereas
process
had
smaller
surface.
reveals
significant
urban
expansion
regional
optimizes
model's
simulation
quality
provides
new
insights
into
understanding
conditions
High-concentration
ozone
threatens
human
health
and
ecosystems,
modulated
by
dynamic,
multiscale
meteorological
processes.
Existing
machine
learning
studies
for
prediction
rarely
incorporate
the
spatiotemporal
evolution
of
regional
fields
(STRMFs),
limiting
explanatory
power
drivers
in
variability.
Thus,
a
sequential
convolutional
long
short-term
memory
network
framework
(CNN-LSTM)
was
designed
to
utilize
STRMFs
prediction.
Scenarios
incorporating
across
multiple
scales
were
constructed
using
Global
Forecast
System
(GFS)
data
sets.
Model
performance
evaluated
terms
concentration
accuracy
(AOCP)
precision
forecasting
high-ozone
pollution
events
(PHOE)
key
Chinese
regions.
Appropriate
expansion
scale
enhanced
AOCP,
with
notable
improvements
PHOE,
demonstrating
variability's
dependence
on
Leveraging
that
better
represent
real
atmospheric
conditions
improved
AOCP.
The
CNN-LSTM
explained
over
85%
daily
variability
through
STRMF
integration,
successfully
resolving
how
variations
regions
responded
typhoon
positional
shifts.
This
methodology
enables
timely
alerts
while
elucidating
critical
role
processes
pollution.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(13), P. 2409 - 2409
Published: July 1, 2024
The
exacerbation
of
air
pollution
during
spring
in
Yunnan
province,
China,
has
attracted
widespread
attention.
However,
many
studies
have
focused
solely
on
the
impacts
anthropogenic
emissions
while
ignoring
role
natural
processes.
This
study
used
satellite
data
spanning
21
years
from
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
and
Atmospheric
Infrared
Sounder
(AIRS)
to
reveal
two
processes
closely
related
springtime
ozone
(O3)
PM2.5
pollution:
stratospheric
intrusions
(SIs)
cross-border
transport
biomass
burning
(BB).
We
aimed
assess
mechanisms
through
which
SIs
BB
influence
O3
Southwestern
China
spring.
unique
geographical
conditions
prevalent
southwest
winds
are
considered
key
driving
factors
for
transport.
Frequent
tropopause
folding
provides
favorable
dynamic
upper
troposphere.
In
lower
troposphere,
distribution
patterns
tracer
(O3S)
similar
terrain,
indicating
that
is
more
likely
reach
surface
with
increasing
altitude.
Using
tagging
methods,
we
quantified
contributions
O3,
ranging
6
31
ppbv
accounting
10–38%
levels.
Additionally,
as
located
downwind
Myanmar
complex
it
generation
decreasing
terrain
north
south
facilitates
lower-elevation
border
cities,
whereas
higher-elevation
cities
hinder
transport,
leading
spatial
heterogeneity
PM2.5.
scientific
support
elucidating
governing
Yunnan,
can
assist
policymakers
formulating
optimal
emission
reduction
strategies.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(10), P. 1162 - 1162
Published: Sept. 28, 2024
To
investigate
the
characteristics
and
sources
of
volatile
organic
compounds
(VOCs)
as
well
their
impacts
on
secondary
aerosols
(SOAs)
formation
during
high-incidence
periods
PM2.5
pollution,
a
field
measurement
was
conducted
in
December
2019
Hefei,
typical
city
Yangtze
River
Delta
(YRD).
During
whole
process,
mixing
ratios
VOCs
were
averaged
21.1
±
15.9
ppb,
with
alkanes,
alkenes,
alkyne,
aromatics
accounting
for
59.9%,
15.3%,
15.0%,
9.8%
total
VOCs,
respectively.
It
is
worth
noting
that
contributions
alkenes
alkyne
increased
significantly
pollution
periods.
Based
source
apportionment
via
positive
matrix
factorization
(PMF)
model,
vehicle
emissions,
liquefied
petroleum
gas/natural
gas
(LPG/NG),
biomass/coal
burning
main
research
Hefei.
periods,
however,
contribution
to
significantly,
reaching
much
47.6%.
The
calculated
SOA
potential
(SOAFP)
0.38
1.04
µg
m−3
(range:
0.04–7.30
m−3),
dominant
contributors,
percentage
96.8%.
showed
industrial
emissions
(49.1%)
(28.3%)
contributed
most
SOAFP
non-pollution
whereas
(32.8%)
These
findings
suggest
reducing
from
burning,
vehicle,
crucial
approach
effective
control
which
provides
scientific
basis
controlling
improving
air
quality
YRD
region.
