Atmospheric Environment X,
Journal Year:
2024,
Volume and Issue:
23, P. 100282 - 100282
Published: July 30, 2024
Thailand
experiences
severe
air
quality
issues,
predominantly
due
to
PM2.5
pollution
that
surpasses
WHO
guidelines.
The
main
sources
are
attributed
energy
production,
industrial
activities,
vehicular
emissions,
agricultural
burning,
and
transboundary
transport
of
pollutants.
Understanding
the
transformation
these
pollutants
is
necessary
for
addressing
issues.
Weather
Research
Forecasting
Model
coupled
with
Chemistry
(WRF-Chem)
provides
information
about
meteorology,
chemical
reactions,
trace
gases
aerosols.
accuracy
WRF-Chem
simulations
greatly
depends
on
choice
anthropogenic
biomass
burning
emissions
inventories.
This
study
a
detailed
evaluation
inventories
model
concentrations
in
during
both
haze
off-haze
seasons
2019.
We
evaluated
using
four
emission
inventories—CAMS-GLOB-ANT,
ECLIPSE,
HTAP,
REAS—and
inventories—FINN1.5,
FINN2.5
MOD,
MODVAR,
QFED—using
data
from
ground-based
stations,
MODIS
AOD,
MOPITT
CO
satellite
data.
Our
findings
suggest
CAMS-GLOB-ANT
performs
optimally
North
Thailand,
while
HTAP
REAS
more
effective
Eastern
Thailand.
For
FINN1.5
shows
superior
performance.
also
highlights
challenge
capturing
diurnal
variability,
particularly
inaccuracies
simulating
planetary
boundary
layer
height
nighttime
complex
terrains.
Moreover,
our
analysis
exhibits
moderate
performances
season
global
regional
emphasizing
need
improving
reliable
prediction.
updating
factors
reflect
Thailand's
specific
vegetation
types
recommended
improve
WRF-Chem's
representation
levels.
Earth system science data,
Journal Year:
2024,
Volume and Issue:
16(5), P. 2261 - 2279
Published: May 6, 2024
Abstract.
Anthropogenic
emissions
are
the
result
of
many
different
economic
sectors,
including
transportation,
power
generation,
industrial,
residential
and
commercial
activities,
waste
treatment
agricultural
practices.
Air
quality
models
used
to
forecast
atmospheric
composition,
analyze
observations
reconstruct
chemical
composition
atmosphere
during
previous
decades.
In
order
drive
these
models,
gridded
all
compounds
need
be
provided.
This
paper
describes
a
new
global
inventory
called
CAMS-GLOB-ANT,
developed
as
part
Copernicus
Atmosphere
Monitoring
Service
(CAMS;
https://doi.org/10.24380/eets-qd81,
Soulie
et
al.,
2023).
The
provides
monthly
averages
36
compounds,
main
air
pollutants
greenhouse
gases,
at
spatial
resolution
0.1°
×
in
latitude
longitude,
for
17
emission
sectors.
methodology
generate
2000–2023
period
is
explained,
datasets
analyzed
compared
with
publicly
available
regional
inventories
selected
world
regions.
Depending
on
species
regions,
good
agreements
well
significant
differences
highlighted,
which
can
further
explained
through
an
analysis
sectors
shown
figures
Supplement.
npj Climate and Atmospheric Science,
Journal Year:
2025,
Volume and Issue:
8(1)
Published: Jan. 15, 2025
Air
pollution
impacts
on
human
health
are
of
serious
concern
in
northern
India,
and
over
the
Delhi
National
Capital
Region
(NCR)
particular.
The
Kharif
crop
residue
burning
(CRB)
is
often
blamed
for
degradation
Delhi-NCR's
seasonal
air
quality.
However,
concentration
fine
particulate
matter
(PM2.5)
remained
stable
Delhi,
while
fire
detection
counts
(FDCs)
from
satellites
Punjab
Haryana
declined
by
50%
or
more
during
2015–2023.
We
measured
PM2.5,
carbon
monoxide
(CO)
related
parameters
Delhi-NCR,
a
network
30
low-cost
sensors
(CUPI-Gs)
selected
period
(September–November)
2022
2023.
Measured
PM2.5
showed
lower
2023
compared
to
at
sites,
compliance
with
FDC
reductions.
Using
CUPI-G
measurements,
airmass
trajectories,
particle
dispersion
chemical-transport
model
simulations,
we
show
that
CRB
emissions
contributed
only
meagre
~14%
overall
Delhi-NCR
October-November
2022.
This
indicates
there
exists
very
weak
coupling
between
mass
Punjab,
highlighting
effectiveness
Graded
Response
Action
Plan
(GRAP)
controlling
region.
Atmospheric chemistry and physics,
Journal Year:
2024,
Volume and Issue:
24(7), P. 3925 - 3952
Published: April 3, 2024
Abstract.
The
MIXv2
Asian
emission
inventory
is
developed
under
the
framework
of
Model
Inter-Comparison
Study
for
Asia
(MICS-Asia)
Phase
IV
and
produced
from
a
mosaic
up-to-date
regional
inventories.
We
estimated
emissions
anthropogenic
biomass
burning
sources
covering
23
countries
regions
in
East,
Southeast
South
aggregated
to
uniform
spatial
temporal
resolution
seven
sectors:
power,
industry,
residential,
transportation,
agriculture,
open
shipping.
Compared
MIXv1,
we
extended
dataset
2010–2017,
included
shipping,
provided
model-ready
SAPRC99,
SAPRC07,
CB05.
A
series
unit-based
point
source
information
was
incorporated
power
plants
China
India.
consistent
speciation
non-methane
volatile
organic
compounds
(NMVOCs)
applied
develop
by
three
chemical
mechanisms.
total
anthropogenic/open
sectors
2017
are
as
follows:
41.6/1.1
Tg
NOx,
33.2/0.1
SO2,
258.2/20.6
CO,
61.8/8.2
NMVOC,
28.3/0.3
NH3,
24.0/2.6
PM10,
16.7/2.0
PM2.5,
2.7/0.1
BC
(black
carbon),
5.3/0.9
OC
(organic
18.0/0.4
Pg
CO2.
contributions
India
were
emerging
during
especially
NH3
particulate
matter.
Gridded
at
0.1°
with
monthly
variations
now
publicly
available.
This
updated
long-term
ready
facilitate
air
quality
climate
model
simulations,
well
policymaking
associated
analyses.
Earth system science data,
Journal Year:
2024,
Volume and Issue:
16(6), P. 2893 - 2915
Published: June 21, 2024
Abstract.
Constructing
a
highly
resolved
comprehensive
emission
dataset
for
China
is
challenging
due
to
limited
availability
of
refined
information
parameters
in
unified
bottom-up
framework.
Here,
by
developing
an
integrated
modeling
framework,
we
harmonized
multi-source
heterogeneous
data,
including
several
up-to-date
inventories
at
national
and
regional
scales
key
species
sources
generate
0.1°
resolution
inventory
2017.
By
source
mapping,
temporal
disaggregation,
spatial
allocation,
spatial–temporal
coupling,
different
are
normalized
terms
categories,
chemical
species,
spatiotemporal
resolutions.
This
achieves
the
coupling
multi-scale,
high-resolution
with
Multi-resolution
Emission
Inventory
(MEIC),
forming
INTegrated
Air
pollutants
(INTAC).
We
find
that
INTAC
provides
more
accurate
representations
magnitudes
patterns.
In
2017,
China's
emissions
sulfur
dioxide
(SO2),
nitrous
oxides
(NOx),
carbon
monoxide
(CO),
non-methane
volatile
organic
compounds
(NMVOCs),
ammonia
(NH3),
PM10
PM2.5
(particulate
matter),
black
(BC),
(OC)
were
12.3,
24.5,
141.0,
27.9,
9.2,
11.1,
8.4,
1.3,
2.2
Tg,
respectively.
The
proportion
point
SO2,
PM10,
NOx,
increases
from
7
%–19
%
MEIC
48
%–66
INTAC,
resulting
improved
accuracy,
especially
mitigating
overestimations
densely
populated
areas.
Compared
MEIC,
reduces
mean
biases
simulated
concentrations
major
air
2–14
µg
m−3
across
74
cities,
compared
against
ground
observations.
enhanced
model
performance
particularly
evident
finer-grid
Our
new
accessible
http://meicmodel.org.cn/intac
(last
access:
15
April
2024)
https://doi.org/10.5281/zenodo.10459198
(Wu
et
al.,
2024),
it
will
provide
solid
data
foundation
fine-scale
atmospheric
research
air-quality
improvement.
Earth system science data,
Journal Year:
2024,
Volume and Issue:
16(9), P. 4351 - 4387
Published: Sept. 26, 2024
Abstract.
A
new
long-term
emission
inventory
called
the
Inversed
Emission
Inventory
for
Chinese
Air
Quality
(CAQIEI)
was
developed
in
this
study
by
assimilating
surface
observations
from
China
National
Environmental
Monitoring
Centre
(CNEMC)
using
an
ensemble
Kalman
filter
(EnKF)
and
Nested
Prediction
Modeling
System.
This
contains
constrained
monthly
emissions
of
NOx,
SO2,
CO,
primary
PM2.5,
PM10,
non-methane
volatile
organic
compounds
(NMVOCs)
2013
to
2020,
with
a
horizontal
resolution
15
km
×
km.
paper
documents
detailed
descriptions
assimilation
system
evaluation
results
inventory.
The
suggest
that
CAQIEI
can
effectively
reduce
biases
priori
inventory,
normalized
mean
ranging
−9.1
%
9.5
posteriori
simulation,
which
are
significantly
reduced
simulations
(−45.6
93.8
%).
calculated
root-mean-square
errors
(RMSEs)
(0.3
mg
m−3
CO
9.4–21.1
µg
m3
other
species,
on
scale)
correlation
coefficients
(0.76–0.94)
were
also
improved
simulations,
demonstrating
good
performance
data
system.
Based
CAQIEI,
we
estimated
China's
total
(including
both
natural
anthropogenic
emissions)
six
species
2015
be
as
follows:
25.2
Tg
17.8
465.4
15.0
40.1
46.0
NMVOCs.
From
decreased
54.1
44.4
33.6
35.7
15.1
NOx
but
increased
21.0
It
is
reductions
larger
during
2018–2020
(from
−26.6
−4.5
%)
than
2015–2017
−23.8
27.6
most
species.
In
particular,
NMVOC
shown
increase
2015–2017,
especially
over
Fenwei
Plain
area
(FW),
where
particulate
matter
(PM)
increased.
situation
changed
2018–2020,
when
upward
trends
contained
reversed
downward
NMVOCs
PM
FW.
suggests
control
policies
may
action
plan.
We
compared
air
pollutant
inventories
China,
verified
our
inversion
terms
more
importantly
identified
potential
uncertainties
current
inventories.
Firstly,
suggested
higher
(426.8
Tg)
being
twice
amounts
previous
(120.7–237.7
Tg).
Significantly
western
northeastern
pollutants.
Secondly,
about
30.4
%–81.4
North
(NCP)
lower
%–0.0
southeastern
(SE).
Thirdly,
reduction
rates
2015–2018
except
CO.
have
26.6
2018,
NCP
(by
38.0
%),
38.3
central
(60.0
These
provide
us
insights
into
complex
variations
two
recent
clean-air
actions,
has
improve
understanding
their
impacts
quality.
All
datasets
available
at
https://doi.org/10.57760/sciencedb.13151
(Kong
et
al.,
2023a).
Environmental Science & Technology,
Journal Year:
2023,
Volume and Issue:
57(43), P. 16435 - 16445
Published: Oct. 19, 2023
Traditional
global
emission
inventories
classify
primary
organic
emissions
into
nonvolatile
carbon
and
volatile
compounds
(VOCs),
excluding
intermediate-volatility
semivolatile
(IVOCs
SVOCs,
respectively),
which
are
important
precursors
of
secondary
aerosols.
This
study
establishes
the
first
anthropogenic
full-volatility
inventory
with
chemically
speciated
or
volatility-binned
factors.
The
extremely
low/low-volatility
(xLVOCs),
IVOCs,
VOCs
in
2015
were
13.2,
10.1,
23.3,
120.5
Mt,
respectively.
framework
fills
a
gap
18.5
Mt
I/S/xLVOCs
compared
traditional
framework.
Volatile
chemical
products
(VCPs),
domestic
combustion,
on-road
transportation
sources
dominant
contributors
to
emissions,
accounting
for
30,
12%,
VCP
sectors
main
IVOCs
VOCs.
key
emitting
regions
included
Africa,
India,
Southeast
Asia,
China,
Europe,
United
States,
among
States
emitted
higher
proportions
owing
use
cleaner
fuel
combustion
more
intense
from
VCPs
activities.
findings
contribute
better
understanding
impact
on
air
pollution
climate
change.
Asian Journal of Atmospheric Environment,
Journal Year:
2023,
Volume and Issue:
17(1)
Published: Oct. 6, 2023
Abstract
This
study
aims
to
understand
the
impact
of
previous
air
quality
improvement
policies
on
historical
emission
changes
by
examining
long-term
trends
in
Korea.
Annual
emissions
from
2000
2018
were
estimated
using
Korea’s
official
inventory,
Clean
Air
Policy
Support
System
(CAPSS).
To
ensure
a
consistent
comparison,
standardization
method
for
calculating
and
unification
reported
sectors
conducted
each
year.
Furthermore,
history
was
compared
with
that
neighboring
countries,
such
as
China
Japan.
The
annual
these
countries
acquired
HTAPv3
an
international
trend
study.
For
source
classification
Korea
matched
HTAPv3.
As
result
analysis,
NO
x
SO
have
shown
decreasing
trends,
whereas
VOCs
(volatile
organic
compounds)
indicated
gradual
increasing
since
2000.
Compared
period
implementing
South
policy,
NOx
SOx
emissions,
which
are
combustion-related
pollutants,
showed
relationship
policy’s
timeline.
However,
non-combustion-related
pollutants
did
not
exhibit
relationship.
It
concluded
related
effective
reducing
planned
policy.
By
comparing
Japan,
Korea,
China,
it
confirmed
Japan
first
country
experience
decrease
followed
China.
Additionally,
decreased
all
three
only
VOC
is
precursor
material
generating
secondary
PM
2.5
Ozone;
considering
that,
if
relevant
additionally
implemented
control
future
concentrations,
reduce
efficiently
effectively,
Japan’s
reduction
can
be
applied
policies.
These
results
expected
serve
important
references
when
establishing
Abstract.
Since
the
launch
of
TROPOMI
on
S5p
satellite,
NO2
observations
have
become
available
with
a
resolution
3.5x5
km,
which
makes
monitoring
NOx
emissions
possible
at
scale
city
districts
and
industrial
facilities.
For
Europe,
are
reported
an
annual
basis
for
country
totals
large
facilities
made
publicly
via
European
Environmental
Agency
(EEA).
Satellite
can
provide
independent
more
timely
information
emissions.
A
new
version
inversion
algorithm
DECSO
(Daily
Emissions
Constraint
by
Observations)
has
been
developed
deriving
Europe
daily
basis,
averaged
to
monthly
mean
maps.
The
estimated
precision
these
is
about
25
%
individual
grid
cells.
These
satellite-derived
from
compared
officially
spatial-temporal
disaggregated
emission
inventories.
total
close
compiled
Copernicus
Atmospheric
Monitoring
Service
(CAMS).
comparison
spatial
distributed
CAMS
showed
that
often
higher
in
cities,
while
similar
power
plants
slightly
lower
rural
areas.
Atmospheric chemistry and physics,
Journal Year:
2024,
Volume and Issue:
24(13), P. 7523 - 7534
Published: July 3, 2024
Abstract.
Since
the
launch
of
TROPOMI
on
Sentinel-5
Precursor
(S5P)
satellite,
NO2
observations
have
become
available
with
a
resolution
3.5×
5
km,
which
makes
monitoring
NOx
emissions
possible
at
scale
city
districts
and
industrial
facilities.
For
Europe,
are
reported
an
annual
basis
for
country
totals
large
facilities
made
publicly
via
European
Environment
Agency
(EEA).
Satellite
can
provide
independent
more
timely
information
emissions.
A
new
version
inversion
algorithm
DECSO
(Daily
Emissions
Constrained
by
Observations)
has
been
developed
deriving
Europe
daily
basis,
averaged
to
monthly
mean
maps.
The
estimated
precision
these
is
about
25
%
individual
grid
cells.
These
satellite-derived
from
compared
officially
spatial–temporal
disaggregated
emission
inventories.
total
close
compiled
Copernicus
Atmosphere
Monitoring
Service
(CAMS).
Comparison
spatially
distributed
CAMS
showed
that
often
higher
in
cities,
while
they
similar
power
plants
slightly
lower
rural
areas.