Environmental Science & Technology,
Journal Year:
2013,
Volume and Issue:
47(12), P. 6349 - 6357
Published: May 23, 2013
Brown
carbon
(BrC),
which
may
include
secondary
organic
aerosol
(SOA),
can
be
a
significant
climate-forcing
agent
via
its
optical
absorption
properties.
However,
the
overall
contribution
of
SOA
to
BrC
remains
poorly
understood.
Here,
correlations
between
oxidation
level
and
properties
are
examined.
was
generated
in
flow
reactor
absence
NOx
by
OH
gas-phase
precursors
used
as
surrogates
for
anthropogenic
(naphthalene,
tricyclo[5.2.1.0(2,6)]decane),
biomass
burning
(guaiacol),
biogenic
(α-pinene)
emissions.
chemical
composition
characterized
with
time-of-flight
mass
spectrometer.
mass-specific
cross
sections
(MAC)
refractive
indices
were
calculated
from
real-time
cavity
ring-down
photoacoustic
spectrometry
measurements
at
405
532
nm
UV-vis
methanol
extracts
filter-collected
particles
(300
600
nm).
At
nm,
MAC
values
imaginary
increased
increasing
decreased
wavelength,
leading
negligible
nm.
Real
level.
Comparison
literature
studies
suggests
that
under
typical
polluted
conditions
effect
on
is
small.
contribute
significantly
atmospheric
BrC,
magnitude
dependent
both
precursor
type
Proceedings of the National Academy of Sciences,
Journal Year:
2015,
Volume and Issue:
112(23), P. 7123 - 7128
Published: May 26, 2015
Significance
Extremely
low
volatility
organic
compounds
(ELVOC)
are
suggested
to
promote
aerosol
particle
formation
and
cloud
condensation
nuclei
(CCN)
production
in
the
atmosphere.
We
show
that
capability
of
biogenic
VOC
(BVOC)
produce
ELVOC
depends
strongly
on
their
chemical
structure
relative
oxidant
levels.
BVOC
with
an
endocyclic
double
bond,
representative
emissions
from,
e.g.,
boreal
forests,
efficiently
from
ozonolysis.
Compounds
exocyclic
bonds
or
acyclic
including
isoprene,
emission
tropics,
minor
quantities
ELVOC,
role
OH
radical
oxidation
is
relatively
larger.
Implementing
these
findings
into
a
global
modeling
framework
shows
detailed
assessment
pathways
crucial
for
understanding
secondary
atmospheric
CCN
formation.
Chemical Society Reviews,
Journal Year:
2012,
Volume and Issue:
41(19), P. 6663 - 6663
Published: Jan. 1, 2012
Emissions
of
air
pollutants
and
their
precursors
determine
regional
quality
can
alter
climate.
Climate
change
perturb
the
long-range
transport,
chemical
processing,
local
meteorology
that
influence
pollution.
We
review
implications
projected
changes
in
methane
(CH(4)),
ozone
(O(3)),
aerosols
for
climate
(expressed
terms
radiative
forcing
metric
or
global
surface
temperature)
hemispheric-to-continental
scale
quality.
Reducing
O(3)
precursor
CH(4)
would
slow
near-term
warming
by
decreasing
both
tropospheric
O(3).
Uncertainty
remains
as
to
net
from
anthropogenic
nitrogen
oxide
(NO(x))
emissions,
which
increase
(warming)
but
also
decrease
(both
cooling).
Anthropogenic
emissions
carbon
monoxide
(CO)
non-CH(4)
volatile
organic
compounds
(NMVOC)
warm
increasing
CH(4).
Radiative
impacts
secondary
(SOA)
are
poorly
understood.
Black
emission
controls,
reducing
absorption
sunlight
atmosphere
on
snow
ice,
have
potential
warming,
uncertainties
coincident
reflective
(cooling)
constrained
cloud
indirect
effects
confound
robust
estimates
impacts.
sulfate
nitrate
improve
lessen
interference
with
hydrologic
cycle,
lead
warming.
A
holistic
balanced
view
is
thus
needed
assess
how
pollution
controls
climate;
a
first
step
towards
this
goal
involves
estimating
individual
sectors.
Modeling
observational
analyses
suggest
degrades
(increasing
particulate
matter)
many
populated
regions,
including
during
episodes.
Prior
Intergovernmental
Panel
Change
(IPCC)
scenarios
(SRES)
allowed
unconstrained
growth,
whereas
Representative
Concentration
Pathway
(RCP)
assume
uniformly
an
aggressive
reduction,
pollutant
emissions.
New
current
generation
chemistry-climate
models
RCP
project
improved
over
next
century
relative
those
using
IPCC
SRES
scenarios.
These
two
sets
projections
likely
bracket
possible
futures.
find
uncertainty
emission-driven
generally
greater
than
climate-driven
changes.
Confidence
limited
reliability
trajectories
responses,
feedbacks
terrestrial
biosphere,
oxidation
pathways
affecting
SOA.
Atmospheric chemistry and physics,
Journal Year:
2017,
Volume and Issue:
17(3), P. 2103 - 2162
Published: Feb. 13, 2017
Oxidation
of
biogenic
volatile
organic
compounds
(BVOC)
by
the
nitrate
radical
(NO3)
represents
one
important
interactions
between
anthropogenic
emissions
related
to
combustion
and
natural
from
biosphere.
This
interaction
has
been
recognized
for
more
than
3
decades,
during
which
time
a
large
body
research
emerged
laboratory,
field,
modeling
studies.
NO3-BVOC
reactions
influence
air
quality,
climate
visibility
through
regional
global
budgets
reactive
nitrogen
(particularly
nitrates),
ozone,
aerosol.
Despite
its
long
history
significance
this
topic
in
atmospheric
chemistry,
number
uncertainties
remain.
These
include
an
incomplete
understanding
rates,
mechanisms,
aerosol
yields
reactions,
lack
constraints
on
role
heterogeneous
oxidative
processes
associated
with
NO3
radical,
difficulty
characterizing
spatial
distributions
BVOC
within
poorly
mixed
nocturnal
atmosphere,
challenge
constructing
appropriate
boundary
layer
schemes
non-photochemical
mechanisms
use
state-of-the-art
chemical
transport
chemistry-climate
models.
review
is
result
workshop
same
title
held
at
Georgia
Institute
Technology
June
2015.
The
first
half
summarizes
current
literature
particular
focus
recent
advances
instrumentation
models,
secondary
(SOA)
formation
chemistry.
Building
understanding,
second
outlines
impacts
chemistry
quality
climate,
suggests
critical
needs
better
constrain
improve
predictive
capabilities
Atmospheric chemistry and physics,
Journal Year:
2014,
Volume and Issue:
14(19), P. 10845 - 10895
Published: Oct. 15, 2014
Abstract.
This
paper
evaluates
the
current
status
of
global
modeling
organic
aerosol
(OA)
in
troposphere
and
analyzes
differences
between
models
as
well
observations.
Thirty-one
chemistry
transport
(CTMs)
general
circulation
(GCMs)
have
participated
this
intercomparison,
framework
AeroCom
phase
II.
The
simulation
OA
varies
greatly
terms
magnitude
primary
emissions,
secondary
(SOA)
formation,
number
species
used
(2
to
62),
complexity
parameterizations
(gas-particle
partitioning,
chemical
aging,
multiphase
chemistry,
microphysics),
physical,
optical
properties.
diversity
results
has
increased
since
earlier
experiments,
mainly
due
increasing
SOA
parameterization
models,
implementation
new,
highly
uncertain,
sources.
Diversity
over
one
order
exists
modeled
vertical
distribution
concentrations
that
deserves
a
dedicated
future
study.
Furthermore,
although
/
OC
ratio
depends
on
sources
atmospheric
processing,
is
important
for
model
evaluation
against
observations,
it
resolved
only
by
few
models.
median
(POA)
source
strength
56
Tg
a−1
(range
34–144
a−1)
(natural
anthropogenic)
19
13–121
a−1).
Among
take
into
account
semi-volatile
nature,
calculated
be
51
16–121
a−1),
much
larger
than
value
calculate
more
simplistic
way
(19
a−1;
range
13–20
a−1,
with
at
37
burden
1.4
(24
0.6–2.0
4
2.0
3.8
Tg),
lifetime
5.4
days
3.8–9.6
days).
In
reported
both
sulfate
burdens,
OA/sulfate
0.77;
13
lower
1,
9
higher
1.
For
26
deposition
fluxes,
wet
removal
70
28–209
which
average
85%
total
deposition.
Fine
carbon
(OC)
observations
from
continuous
monitoring
networks
individual
field
campaigns
been
evaluation.
At
urban
locations,
model–observation
comparison
indicates
missing
knowledge
anthropogenic
sources,
seasonality.
combined
model–measurements
analysis
suggests
existence
levels
during
summer
biogenic
formation
large
areas
USA
can
same
POA,
even
contribute
measured
seasonal
pattern.
Global
are
able
simulate
high
character
observed
atmosphere
result
POA
amount
present
remains
largely
underestimated,
mean
normalized
bias
(MNB)
equal
−0.62
(−0.51)
based
data
all
surface,
−0.15
(+0.51)
when
compared
remote
measurements,
−0.30
marine
locations
data.
temporal
correlations
across
stations
low
measurements:
0.47
(0.52)
stations,
0.39
(0.37)
0.25
combination
(negative)
MNB
correlation
sites
about
processes
govern
removal,
top
their
stations.
There
no
clear
change
skill
regard
or
mass
concentration.
However,
needed
distinguish
natural
climate
mitigation,
impact
accurately.
Journal of the Air & Waste Management Association,
Journal Year:
2015,
Volume and Issue:
65(6), P. 645 - 685
Published: May 15, 2015
Multiple
linkages
connect
air
quality
and
climate
change.
Many
pollutant
sources
also
emit
carbon
dioxide
(CO2),
the
dominant
anthropogenic
greenhouse
gas
(GHG).
The
two
main
contributors
to
non-attainment
of
U.S.
ambient
standards,
ozone
(O3)
particulate
matter
(PM),
interact
with
radiation,
forcing
PM
warms
by
absorbing
sunlight
(e.g.,
black
carbon)
or
cools
scattering
sulfates)
interacts
clouds;
these
radiative
microphysical
interactions
can
induce
changes
in
precipitation
regional
circulation
patterns.
Climate
change
is
expected
degrade
many
polluted
regions
changing
pollution
meteorology
(ventilation
dilution),
other
removal
processes,
triggering
some
amplifying
responses
atmospheric
chemistry
natural
sources.
Together,
processes
shape
distributions
extreme
episodes
O3
PM.
Global
modeling
indicates
that
as
programs
reduce
SO2
meet
health
goals,
near-term
warming
accelerates
due
"unmasking"
induced
rising
CO2.
Air
controls
on
CH4,
a
potent
GHG
precursor
global
levels,
high
(BC)
organic
(OC)
ratios
could
offset
emission
reductions,
while
reducing
background
regionally
levels
Lowering
peak
requires
decreasing
CO2,
which
for
source
categories
would
co-emitted
pollutants
their
precursors.
Model
projections
alternative
scenarios
indicate
wide
range
surface
fine
PM,
although
may
be
confounded
interannual
decadal
variability.
Continued
implementation
NOx
guards
against
triggered
either
growth.
Improved
accuracy
trends
inventories
are
critical
accountability
analyses
historical
projected
mitigation
policies.Implications:
expansion
policy
protect
provides
an
opportunity
joint
mitigation,
CH4
prime
target.
BC
reductions
developing
nations
lower
burden,
BC-rich
diesel)
lessen
warming.
Controls
emissions
health-motivated
sulfate
(cooling).
Wildfires,
dust,
increase
warming,
posing
challenges
implementing
attaining
standards.
Accountability
recent
control
strategies
should
underpin
estimated
benefits
trade-offs
future
policies.
Journal of Geophysical Research Atmospheres,
Journal Year:
2016,
Volume and Issue:
121(4), P. 1955 - 1977
Published: Jan. 23, 2016
Abstract
To
investigate
the
seasonal
characteristics
of
submicron
aerosol
(PM
1
)
in
Beijing
urban
areas,
a
high‐resolution
time‐of‐flight
aerosol‐mass‐spectrometer
(HR‐ToF‐AMS)
was
utilized
at
an
site
summer
(August
to
September
2011)
and
winter
(November
December
2010),
coupled
with
multiple
state
art
online
instruments.
The
average
mass
concentrations
PM
(60–84
µg
m
−3
its
chemical
compositions
different
campaigns
were
relatively
consistent
recent
years.
In
summer,
daily
variations
stable
repeatable.
Eighty‐two
percent
concentration
on
composed
secondary
species,
where
62%
is
inorganic
20%
organic
(SOA).
winter,
changed
dramatically
because
meteorological
conditions.
high
fraction
(58%)
primary
species
including
(POA),
black
carbon,
chloride
indicates
emissions
usually
played
more
important
role
winter.
However,
aqueous
chemistry
resulting
efficient
formation
during
occasional
periods
relative
humidity
may
also
contribute
substantially
haze
Results
past
OA
source
apportionment
studies
show
45–67%
22–50%
can
be
SOA.
Based
results,
we
found
45%
POA
61%
are
from
nonfossil
sources,
contributed
by
cooking
both
seasons
biomass
burning
(BBOA)
Cooking
OA,
accounting
for
13–24%
carbon
all
years
should
not
neglected.
fossil
sources
include
hydrocarbon‐like
vehicle
coal
combustion
(CCOA)
CCOA
BBOA
two
main
contributors
(57%
OA)
highest
(>100
POA/ΔCO
ratios
11
16
ppm
−1
,
respectively,
similar
western
cities.
Higher
OOA/O
x
(=
NO
2
+
O
3
ratio
(0.49
ppb
study
than
these
cities
(0.03–0.16
observed,
which
due
reaction
or
extra
SOA
semivolatile
compounds
various
(e.g.,
CCOA)
Beijing.
evolution
oxygen
(O/C)
photochemical
age
allows
estimate
equivalent
rate
constant
aging
as
k
OH
~
4.1
×
10
−12
cm
molecule
s
same
order
obtained
other
anthropogenic
influenced
areas
useful
modeling.