Abstract.
The
chemical
transport
model
(CTM)
is
an
essential
tool
for
air
quality
prediction
and
management,
widely
used
in
pollution
control
health
risk
assessment.
However,
the
current
models
do
not
perform
very
well
simulating
PM2.5
components.
Studies
suggested
that
uncertainties
of
mechanism,
source
emission
inventory
meteorological
field
can
cause
inaccurate
simulation
results.
Still,
profile
has
been
fully
taken
into
account
numerical
simulation.
This
study
aims
to
answer
(1)
Whether
variation
adopted
(CTMs)
impact
on
components?
(2)
How
much
does
it
impact?
(3)
work?
Based
characteristics
rules
components
typical
sources,
different
scenarios
were
designed
sensitivity
results
sources
was
explored.
Our
findings
showed
influence
changes
simulated
concentration
insignificant,
but
its
could
be
ignored.
variations
ranged
from
8
%
167
under
selected
profiles,
some
sensitive
CTMs.
These
influences
are
connected
mechanisms
since
species
allocations
directly
affected
thermodynamic
equilibrium
system.
We
also
found
perturbation
caused
gaseous
pollutants,
which
indirectly
indicated
secondary
Given
vital
role
environment
management
assessment,
representativeness
timeliness
should
considered.
Reviews in Inorganic Chemistry,
Год журнала:
2023,
Номер
44(2), С. 209 - 229
Опубликована: Июль 27, 2023
Abstract
Volatile
organic
compounds
(VOCs)
are
considered
one
of
the
significant
contributors
to
air
pollution
because
they
toxic,
difficult
remove,
come
from
a
wide
range
sources,
and
can
easily
cause
damage
environment
human
health.
There
is
an
urgent
need
for
effective
means
reduce
their
emissions.
The
current
treatment
technologies
VOCs
include
catalytic
oxidation,
adsorption,
condensation,
recovery.
Catalytic
oxidation
technology
stands
out
among
others
thanks
its
high
efficiency,
low
energy
requirement,
lack
secondary
pollution.
difficulty
this
lies
in
development
efficient
catalysts.
research
on
loaded
noble
metal
catalysts
non-noble
oxide
area
over
past
few
years
briefly
described
work.
Firstly,
destruction
mechanism
volatile
introduced.
Secondly,
effects
structural
modulation
during
such
as
adjustment
particle
size
morphology,
doping,
defect
engineering,
conformational
relationships
discussed.
Finally,
challenges
faced
by
thermal
degradation
discussed,
prospects
presented.
Geoscientific model development,
Год журнала:
2023,
Номер
16(22), С. 6757 - 6771
Опубликована: Ноя. 22, 2023
Abstract.
A
chemical
transport
model
(CTM)
is
an
essential
tool
for
air
quality
prediction
and
management,
widely
used
in
pollution
control
health
risk
assessment.
However,
the
current
models
do
not
perform
very
well
reproducing
observations
of
some
major
components,
example,
sulfate,
nitrate,
ammonium
organic
carbon.
Studies
have
suggested
that
uncertainties
mechanism,
source
emission
inventory
meteorological
field
can
cause
inaccurate
simulation
results.
Still,
profile
(used
to
create
speciated
inventories
CTMs)
PM2.5
has
been
fully
taken
into
account
numerical
simulation.
Based
on
characteristics
variation
rules
components
typical
sources,
different
scenarios
were
designed
sensitivity
simulated
was
explored.
Our
findings
showed
influence
changes
components'
concentrations
cannot
be
ignored.
Simulation
results
sensitive
adopted
CTMs.
Moreover,
there
a
linkage
effect:
would
bring
other
components.
These
influences
are
connected
mechanisms
since
species
allocations
sources
affect
potential
composition
phase
state
aerosols,
reaction
priority,
multicomponent
balance
thermodynamic
equilibrium
systems.
We
also
found
perturbation
caused
gaseous
pollutants,
which
indirectly
indicated
secondary
paper
highlights
necessity
paying
enough
attention
representativeness
timeliness
when
using
CTMs
