Sustainability,
Год журнала:
2022,
Номер
14(24), С. 16357 - 16357
Опубликована: Дек. 7, 2022
The
use
of
images
from
the
Sentinel-3B
SYN
satellite
(surface
reflectance
and
aerosol
parameters
over
land)
is
currently
one
most
advanced
technologies
utilized
to
identify
atmospheric
concentrations
on
a
global
scale.
general
aim
this
study
analyze
evolution
aerosols
in
atmosphere
Kiev
region
northern
Ukraine
during
2019,
2020,
2021
2022.
Due
study’s
timing,
both
prior
current
military
incursion
into
Ukraine,
also
evaluates
consequences
invasion
Russian
army
territory
relation
quantitative
levels
present
atmosphere.
Satellite
image
data
were
modelled
SNAP
software
(Sentinel
Application
Platform).
Using
JASP
(version
0.14.1.0),
clusters
with
variations
T550
(Aerosol
Optical
Thickness)
generated.
made
available
by
European
Space
Agency
(ESA),
moderate
spatial
resolution
(>300
m),
calibrated
normalized
an
average
standard
0.83
µg/mg,
maximum
error
6.62%
30
sampled
points.
software.
results
show
concentration
different
periods,
revealing
that
conflict
between
Russia
directly
influenced
dynamics
concentration,
attributed
factors
incompatible
environmental
sustainability.
Atmosphere,
Год журнала:
2025,
Номер
16(3), С. 292 - 292
Опубликована: Фев. 28, 2025
PM2.5
in
air
pollution
poses
a
significant
threat
to
public
health
and
the
ecological
environment.
There
is
an
urgent
need
develop
accurate
prediction
models
support
decision-making
reduce
risks.
This
review
comprehensively
explores
progress
of
concentration
prediction,
covering
bibliometric
trends,
time
series
data
characteristics,
deep
learning
applications,
future
development
directions.
article
obtained
on
2327
journal
articles
published
from
2014
2024
WOS
database.
Bibliometric
analysis
shows
that
research
output
growing
rapidly,
with
China
United
States
playing
leading
role,
recent
increasingly
focusing
data-driven
methods
such
as
learning.
Key
sources
include
ground
monitoring,
meteorological
observations,
remote
sensing,
socioeconomic
activity
data.
Deep
(including
CNN,
RNN,
LSTM,
Transformer)
perform
well
capturing
complex
temporal
dependencies.
With
its
self-attention
mechanism
parallel
processing
capabilities,
Transformer
particularly
outstanding
addressing
challenges
long
sequence
modeling.
Despite
these
advances,
integration,
model
interpretability,
computational
cost
remain.
Emerging
technologies
meta-learning,
graph
neural
networks,
multi-scale
modeling
offer
promising
solutions
while
integrating
into
real-world
applications
smart
city
systems
can
enhance
practical
impact.
provides
informative
guide
for
researchers
novices,
providing
understanding
cutting-edge
methods,
systematic
paths.
It
aims
promote
robust
efficient
contribute
global
management
protection
efforts.
IEEE Sensors Journal,
Год журнала:
2024,
Номер
24(13), С. 20312 - 20321
Опубликована: Янв. 23, 2024
The
Sentinel-5
Precursor
(Sentinel-5P)
is
an
Earth
Observation
satellite
developed
by
the
European
Space
Agency.
aim
primarily
to
fill
gap
between
end
of
Envisat
mission
and
proposed
launch
Sentinel-5.
has
a
single
payload
carries
TROPOMI-sensor
aboard
which
nadir
viewing
imaging
spectrometer.
sensor
measures
electromagnetic
spectral
wavelengths
UV
(270-320nm)
SWIR
(2305-2385nm),
carry
out
air
pollution
monitoring.
both
Top
Atmosphere
(TOA)
reflected
solar
radiation,
radiation
from
Earth.
push-broom
(non-scanning)
configuration
with
swath
2600km
on
ground.
near
pixel
dimension
7×3.5km2
for
all
bands.
However,
UV-1
bands
are
exception
this
dimensions
7×28km2
7×7km2
respectively.
data
products
available
at
Level-1B
Level-2.
been
utilized
worldwide
in
several
research
works
related
atmospheric
pollution-
mapping,
monitoring,
modelling
since
its
launch.
being
study
pollutant
measurements,
impact
forest
fires
carbon
sequestration.
This
paper
aims
present
concise
review
current
status
terms
applications
atmosphere
country,
state,
city
levels
across
globe.
It
aimed
that
documentation
such
would
help
researchers
world
over,
think
utilize
further,
better
global
climate
change
impacts.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Сен. 16, 2024
In
India,
the
spatial
coverage
of
air
pollution
data
is
not
homogeneous
due
to
regionally
restricted
number
monitoring
stations.
a
such
situation,
utilising
satellite
might
greatly
influence
choices
aimed
at
enhancing
environment.
It
essential
estimate
significant
contaminants,
comprehend
their
health
impacts,
and
anticipate
quality
safeguard
public
from
dangerous
pollutants.
The
current
study
intends
investigate
temporal
heterogeneity
important
pollutants,
as
sulphur
dioxide,
nitrogen
carbon
monoxide,
ozone,
Sentinel-5P
TROPOMI
images.
A
comprehensive
spatiotemporal
analysis
was
conducted
for
entire
country
with
special
focus
on
five
metro
cities
2019
2022,
encompassing
pre-COVID-19,
during-COVID-19,
scenarios.
Seasonal
research
revealed
that
pollutant
concentrations
are
highest
in
winter,
followed
by
summer
monsoon,
exception
ozone.
Ozone
had
greatest
throughout
season.
has
NO
