Atmosphere,
Год журнала:
2023,
Номер
14(2), С. 292 - 292
Опубликована: Фев. 1, 2023
In
recent
years,
ozone
and
PM2.5
pollution
has
often
occured
in
the
Fenwei
Plain
due
to
heavy
emission
favorable
geographical
conditions.
this
study,
we
used
weather
research
forecasting/chemistry
(WRF-Chem)
model
reproduce
complex
air
of
(FWP)
from
20
May
29
2015.
By
comparing
simulation
results
with
observed
data,
found
that
although
some
cities
there
was
a
bias
between
simulated
values
captured
trend
pollutants
generally.
Moreover,
according
assessment
parameters,
validated
deviations
are
acceptable.
However,
these
WRF-Chem
performed
better
on
rather
than
PM2.5.
Based
validation,
further
analyzed
pollutant
distribution
during
contaminated
period.
Generally
speaking,
polluted
area
is
mainly
located
Shanxi
province
Henan
province.
time
period,
occurred
27
28
May.
addition,
different
formation
conditions
pollution,
characteristics
two
were
also
be
different.
Ozone
north
FWP
prevailing
wind
chemistry
production.
As
for
PM2.5,
at
night
FWP.
Furthermore,
high
areas
closed
sources
FWP,
showing
correlation
primary
emissions.
Toxics,
Год журнала:
2025,
Номер
13(2), С. 123 - 123
Опубликована: Фев. 6, 2025
PM2.5
and
volatile
organic
compounds
(VOCs)
have
been
identified
as
the
primary
air
pollutants
affecting
Fenwei
Plain
(FWP),
necessitating
urgent
measures
to
improve
its
quality.
To
gain
a
deeper
understanding
of
formation
mechanisms
these
pollutants,
this
study
employed
various
methods
such
HYSPLIT,
PCT,
PMF
for
analysis.
Our
results
indicate
that
FWP
is
primarily
impacted
by
from
southern
Shaanxi
mass
northwestern
during
winter.
In
contrast,
summer,
it
mainly
influenced
O3
originating
mass.
Specifically,
high-pressure
fronts
are
dominant
weather
pattern
pollution
in
FWP,
while
backs
predominately
pollution.
Regarding
sources
PM2.5,
secondary
nitrates,
vehicle
exhausts,
sulfates
major
contributors.
As
compounds,
liquefied
petroleum
gas
sources,
solvent
usage,
industrial
emissions
sources.
This
holds
crucial
scientific
significance
enhancing
regional
joint
prevention
control
mechanism
pollution,
provides
support
formulating
effective
strategies
control.
Remote Sensing,
Год журнала:
2025,
Номер
17(3), С. 528 - 528
Опубликована: Фев. 4, 2025
Near-surface
ozone
is
a
secondary
pollutant,
and
its
high
concentrations
pose
significant
risks
to
human
plant
health.
Based
on
an
Extra
Tree
(ET)
model,
this
study
estimated
near-surface
with
the
spatiotemporal
resolution
based
Himawari-8
aerosol
optical
depth
(AOD)
data
meteorological
variables
from
1
January
2016
31
December
2020.
The
SHapley
Additive
exPlanation
(SHAP)
method
was
employed
evaluate
contribution
of
AOD
factors
concentration.
results
indicate
that
(1)
ET
model
achieves
sample-based
cross-validation
R2
0.75–0.87
RMSE
(μg/m3)
17.96–20.30.
coefficient
determination
(R2)
values
in
spring,
summer,
autumn,
winter
are
0.81,
0.80,
0.87,
0.75,
respectively.
(2)
Higher
temperature
boundary
layer
heights
were
found
positively
contribute
concentration,
whereas
higher
relative
humidity
exerted
negative
influence.
(3)
From
11:00
15:00
(Beijing
time,
UTC+08:00),
concentration
increases
gradually,
highest
occurring
followed
by
spring.
This
has
obtained
spatial
temporal
data,
offering
valuable
insights
for
development
fine-scale
pollution
prevention
control
strategies.
Environmental Pollution,
Год журнала:
2023,
Номер
327, С. 121509 - 121509
Опубликована: Март 24, 2023
Ground-level
fine
particulate
matter
(PM2.5)
and
ozone
(O3)
are
air
pollutants
that
can
pose
severe
health
risks.
Surface
PM2.5
O3
concentrations
be
monitored
from
satellites,
but
most
retrieval
methods
retrieve
or
separately
disregard
the
shared
information
between
two
pollutants,
for
example
due
to
common
emission
sources.
Using
surface
observations
across
China
spanning
2014-2021,
we
found
a
strong
relationship
with
distinct
spatiotemporal
characteristics.
Thus,
in
this
study,
propose
new
deep
learning
model
called
Simultaneous
Ozone
inversion
neural
Network
(SOPiNet),
which
allows
daily
real-time
monitoring
full
coverage
of
simultaneously
at
spatial
resolution
5
km.
SOPiNet
employs
multi-head
attention
mechanism
better
capture
temporal
variations
based
on
previous
days'
conditions.
Applying
MODIS
data
over
2022,
using
2019-2021
construct
network,
simultaneous
retrievals
improved
performance
compared
retrieving
them
independently:
R2
increased
0.66
0.72
PM2.5,
0.79
0.82
O3.
The
results
suggest
near-real
time
satellite-based
quality
by
different
related
pollutants.
codes
its
user
guide
freely
available
online
https://github.com/RegiusQuant/ESIDLM.
Catalysis Communications,
Год журнала:
2022,
Номер
174, С. 106581 - 106581
Опубликована: Дек. 9, 2022
Mn3O4-Fe2O3
composite
catalysts
are
in-situ
synthesized
via
advanced
oxidation
followed
by
modifying
with
hydrochloric
acid
to
improve
the
catalytic
toluene
performance.
modified
1.0
M
HCl
(A-1.0)
exhibited
best
activity
of
oxidation.
The
temperature
50%
conversion
is
245
°C
and
90%
279
°C.
There
much
more
abundant
surface
lattice
oxygen
species
higher
amount
high
valence
manganese
iron
ions
on
A-1.0
catalyst,
which
beneficial
for
improving
activity.
In-situ
DRIFTs
indicated
that
benzaldehyde
benzoic
main
intermediate
products
catalyst
during
