Atmospheric Environment X,
Journal Year:
2024,
Volume and Issue:
22, P. 100267 - 100267
Published: April 1, 2024
Transportation
is
a
major
sector
of
anthropogenic
emissions
in
urban
areas
and
deteriorates
air
quality.
The
surface
vertical
observational
data
were
combined
with
the
model
results
to
reveal
its
impact
on
horizontal
variations
pollutants
during
COVID-19
lockdown
period.
evident
reductions
ambient
PM2.5
(∼30%)
NO2
(∼50%)
concentrations
but
∼25%
increase
O3
concentration
observed
at
transportation
sites.
On
scale,
uniform
decrease
∼28%
was
within
600
m.
However,
profiles
exhibited
increasing
variation
rates
varying
significantly
400
Meanwhile,
Ox
shared
similar
pattern
profile
O3,
(∼5%)
m
area.
WRF-CMAQ
reproduced
variations,
revealed
that
reduction
key
factor
contributing
due
weakened
NO
titration
effect.
simulated
featured
by
decreasing
curve,
while
opposite
trend.
We
find
most
process
analysis
transport
from
bay
contributed
area,
chemical
processes
mainly
consumed
it.
consumption
resulted
accumulation
rush
hours
night.
planetary
boundary
layer
height
also
favored
rise
promoting
daytime
trapping
it
NOx
enhanced
pollution,
suggesting
collaborative
VOCs
multiple
sectors
should
be
conducted.
This
study
indicated
regional
collaborations
emission
necessary
for
comprehensive
pollution
prevention.
Atmosphere,
Journal Year:
2023,
Volume and Issue:
14(2), P. 308 - 308
Published: Feb. 3, 2023
The
presence
of
pollutants
in
our
atmosphere
has
become
one
humanity’s
greatest
challenges.
These
pollutants,
produced
primarily
by
burning
fossil
fuels,
are
detrimental
to
human
health,
climate
and
agriculture.
This
work
proposes
the
use
a
spatiotemporal
graph
neural
network,
designed
forecast
ozone
concentration
based
on
GraphSAGE
paradigm,
aid
understanding
dynamic
nature
these
pollutants’
production
proliferation
urban
areas.
model
was
trained
tested
using
data
from
Houston,
Texas,
United
States,
with
varying
numbers
time-lags,
horizons
(1,
3,
6
h
ahead),
input
nearby
stations.
results
show
that
proposed
GNN-SAGE
successfully
recognized
patterns
underlying
data,
bolstering
its
forecasting
performance
when
compared
benchmarking
persistence
33.7%,
48.7%
57.1%
for
1,
3
horizons,
respectively.
produces
error
levels
lower
than
we
could
find
existing
literature.
conclusions
drawn
variable
importance
SHAP
analysis
also
revealed
predicting
ozone,
solar
radiation
becomes
relevant
as
time
horizon
is
raised.
According
EPA
regulation,
determined
nonattainment
conditions
reference
station.
Aerosol Science and Technology,
Journal Year:
2023,
Volume and Issue:
58(1), P. 1 - 15
Published: Nov. 20, 2023
Most
evaluations
of
low-cost
aerosol
sensors
have
focused
on
their
measurement
bias
compared
to
regulatory
monitors.
Few
applied
fundamental
principles
science
increase
our
understanding
how
such
work
and
could
be
improved.
We
examined
the
Plantower
PMS5003
sensor's
internal
geometry,
laser
properties,
photodiode
responses,
microprocessor
output,
flow
rates,
response
mono-
poly-disperse
aerosols.
developed
a
physics-based
model
particle
light
scattering
within
sensor,
which
we
used
predict
counting
sizing
efficiency
for
0.30
10
µm
particles.
found
that
counts
single
events,
acting
like
an
imperfect
optical
counter,
rather
than
nephelometer.
As
is
not
into
core
beam,
>99%
particles
through
miss
laser,
those
intercept
usually
focal
point
are
subsequently
undersized,
resulting
in
erroneous
size
distribution
data.
Our
predictions
varying
diameters,
compositions,
relative
humidity
were
consistent
with
laboratory
Computational
fluid
dynamics
simulations
PurpleAir
monitor
housing
showed
wind-speeds
less
3
m
s−1,
fine
coarse
representatively
aspired
inlet.
measurements
models
explain
why
overstates
PM2.5
some
locations
but
others;
PM10
unresponsive
windblown
dust;
it
reports
similar
as
does
smoke
ambient
background
aerosol.
The Innovation Geoscience,
Journal Year:
2024,
Volume and Issue:
2(1), P. 100061 - 100061
Published: Jan. 1, 2024
<p>Accurate
measurement
of
atmospheric
chemicals
is
essential
for
understanding
their
impact
on
human
health,
climate,
and
ecosystems.
Satellites
provide
a
unique
advantage
by
capturing
data
across
the
entire
atmosphere,
but
measurements
often
lack
vertical
details.
Here,
we
introduce
DeepSAT4D,
an
innovative
method
that
efficiently
reconstructs
4D
chemical
concentrations
from
satellite
data.
It
achieves
this
regenerating
dynamic
evolution
structure,
intricately
linked
to
complex
processes
such
as
plume
rise
transport,
using
advanced
deep
learning
techniques.
Its
application
with
Ozone
Monitoring
Instrument
-
Nitrogen
Dioxide,
commonly
used
product,
demonstrates
good
agreement
ground-based
monitoring
sites
in
China
2017
2021.
Additionally,
DeepSAT4D
successfully
captures
emission
reductions
during
2020-pandemic
shutdown.
These
findings
emphasize
DeepSAT4D��s
potential
enhance
our
complete
composition
improved
assessments
its
health
Earth��s
ecosystem
future.</p>
npj Climate and Atmospheric Science,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Oct. 28, 2024
The
vertical
variations
and
key
drivers
of
ozone
its
precursors,
namely
NOx
VOCs,
in
the
atmospheric
boundary
layer,
have
vital
impacts
on
surface
budgets
but
are
poorly
understood
so
far.
Using
online
gradient
measurements
from
a
356
m
tower,
we
obtained
continuous
profiles
which
exhibited
strong
gradients
throughout
day.
In
daytime,
precursors
significantly
regulated
by
reactions
with
OH
radicals.
At
night,
our
observations
confirmed
more
intense
VOC
NO3
radicals
residual
layer
than
layer.
Additionally,
found
that
entrainment
could
contribute
to
over
half
boundary-layer
enhancements
morning
periods.
Our
results
underscore
importance
considering
changes
when
developing
future
mitigation
strategies.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(8), P. 879 - 879
Published: July 24, 2024
The
high
concentrations
of
particulate
matter
(PM)
in
the
atmosphere
have
adverse
effects
on
both
environment
and
human
health,
as
well
urban
faunal
biodiversity.
Short-term
events,
such
burning
fireworks,
attributable
to
activity,
result
a
significant
rapid
increase
PM
concentration
levels
within
atmosphere.
We
present
findings
derived
from
observations
made
using
low-cost
sensors
deployed
part
Environmental
Monitoring
Network
Querétaro,
Mexico.
These
utilize
Geo
Stations
(EMGA)
device,
developed
by
Institute
Geosciences
at
UNAM.
observation
period
spanned
10
December
2023
January
2024,
encompassed
Christmas
New
Year
holidays,
focused
PM2.5
concentrations,
comparison
with
similar
February
2024
March
considered
typical
activity
area.
results
reveal
two
substantial
increases
(from
less
than
50
µg/m3
more
340
µg/m3)
over
time
spatial
distribution
during
this
period,
notable
observed
festive
season
coincident
celebrations.
Specifically,
prolonged
periods
exceeding
up
6
h
were
noted
festivity
days.
This
research
offers
insight
into
effects,
trends,
spatial–temporal
pollutants
city
Queretaro,
which
may
be
used
reference
for
other
cities
around
world.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(9), P. 1581 - 1581
Published: April 29, 2024
The
vertical
air
pollutant
concentrations
and
their
relationships
with
synoptic-
local-scale
movement
have
been
studied.
This
study
measured
the
profiles
of
PM2.5
O3
using
an
unmanned
aerial
vehicle
during
summer
in
South
Korea
analyzed
characteristics
profiles.
To
understand
impact
synoptic
movements,
we
generated
categorized
48
h
trajectories
based
on
HYSPLIT,
how
varied
under
different
categories
long-range
transport.
We
found
that
concentration
has
a
positive
gradient
altitude
when
more
polluted
was
transported
from
China
or
North
negative
cleaner
East
Sea.
Unlike
PM2.5,
did
not
depend
significantly
transport
scenario
because
short
photochemical
lifetime
summer.
For
no
significant
local
wind