Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
Atmospheric chemistry and physics,
Год журнала:
2024,
Номер
24(18), С. 10849 - 10867
Опубликована: Сен. 26, 2024
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
oxidative
potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
refers
to
ability
induce
stress
(OS).
are
influenced
by
meteorological
factors,
anthropogenic
emission
sources,
atmospheric
aging.
Although
their
impact
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
Weather
Research
Forecasting
(WRF)
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
annual
average
concentrations
exceeding
Chinese
concentration
limit.
OP,
36
have
below
1
nmolmin-1m-3,
41
2
23
above
which
line
previous
measurement
studies.
Analysis
simulations
indicates
contributed
46
65
variability,
respectively,
emissions
54
35
respectively.
The
sensitivity
analysis
also
highlighted
fact
levels
mostly
determined
secondary
formation
biomass
burning.
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.