WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT,
Journal Year:
2023,
Volume and Issue:
19, P. 1448 - 1458
Published: Dec. 31, 2023
The
COVID-19
pandemic
has
significantly
concerned
people’s
daily
activities,
especially
when
governments
imposed
lockdowns
in
their
countries.
These
lockdowns,
turn,
affected
life,
environment,
and
even
the
air
quality
of
where
they
live.
In
this
context,
paper
looks
at
how
levels
Particulate
Matter
(PM)
2.5
pollutants
cities
Hanoi
Ho
Chi
Minh
City,
Vietnam,
have
changed
because
lockdowns.
We
analyze
data
from
AirNow
database
provide
Heat-Map
analyses
PM
before,
during,
after
Results
suggest
that
affect
overall
pollution.
results
also
approach
could
be
useful
designing
novel
policies
to
reduce
pollution
lessen
impact
future
as
well
developing
strategies
address
pandemics.
Natural Hazards Research,
Journal Year:
2024,
Volume and Issue:
4(3), P. 401 - 412
Published: Sept. 1, 2024
The
country
wide
lockdown
implemented
during
27th
April
to
14th
June
2021
in
order
prevent
the
spread
of
COVID-19
second
wave
India.
Effect
restricted
resulted
improved
air
quality.
This
study
focuses
on
analyzing
spatio-temporal
distribution
analysis
major
pollutant
concentration
over
Bangalore
city
inverse
distance
weighting
(IDW)
method
is
for
spatial
quantify
concentrations
at
each
location
Urban
Bangalore.
research
considers
distinct
periods
pre-lockdown
and
pandemic
investigate
impact
reduced
human
activities
quality
city.
mainly
utilizes
pollution
data
collected
from
Central
Pollution
Control
Board
(CPCB)
monitoring
stations
across
Bangalore,
including
measurements
pollutants
such
as
PM2.5,
PM10,
O3,
NO2,
SO2,
CO.
IDW
create
high-resolution
maps
both
periods.
provides
valuable
insights
into
variations
levels
though
out
comparative
reveals
significant
changes
between
two
periods;
similarly,
temporal
weekly
average
also
witnessed
negative
anomalies
weeks.
results
indicate
substantial
reductions
lockdown,
attributed
decreased
vehicular
emissions,
industrial
activities,
construction
operations.
period
serves
a
baseline
assessing
improvements
lockdown.
modeling
approach
enhances
our
understanding
patterns
metropolitan
findings
underscore
potential
benefits
implementing
sustainable
strategies
maintain
even
after
subsides.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(3), P. 274 - 274
Published: Feb. 26, 2025
The
2023–2024
blackouts
in
Quito,
Ecuador,
led
to
severe
air
quality
deterioration,
primarily
driven
by
diesel
generator
use
and
increased
vehicular
traffic.
This
study
analyzed
data
from
seven
urban
peri-urban
monitoring
stations,
applying
meteorologically
normalized
machine
learning
models
(Boosted
Regression
Trees
Random
Forests)
isolate
the
direct
impact
of
on
pollutant
concentrations.
results
revealed
that
PM10
up
45%
PM2.5
30%,
frequently
exceeding
regulatory
limits,
particularly
industrial
residential
zones.
SO2
exhibited
most
extreme
rise,
surging
390%,
with
peak
values
reaching
500
µg/m3
areas
heavily
reliant
high-sulfur
generators.
NO2
concentrations
exceeded
200
high-traffic
areas,
while
O3
showed
dual
behavior,
decreasing
cores
due
titration
effects
but
increasing
15%
suburban
valleys,
photochemical
interactions.
A
comparison
between
2023
2024
highlighted
worsening
pollution
trends,
longer
(8–12
h)
outages
causing
environmental
impacts.
findings
demonstrate
significantly
worsen
quality,
posing
critical
public
health
risks.
underscores
urgent
need
for
policy
interventions
mitigate
energy
disruptions.
Key
recommendations
include
stricter
fuel
standards,
emission
controls,
an
accelerated
transition
renewable
energy.
These
provide
scientific
evidence
future
regulations,
supporting
sustainable
management
strategies
minimize
crises’
ecological
consequences.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(8), P. 2084 - 2084
Published: April 14, 2023
To
reduce
air
pollution,
China
adopted
rigorous
control
mechanisms
and
announced
the
Air
Pollution
Prevention
Control
Action
Plan
(APPCAP)
in
2013.
Here,
using
OMI
satellite,
NASA
Socioeconomic
Data
Application
Center
(SEDAC),
Fifth
ECMWF
(ERA5)
data
at
a
0.25°
×
resolution,
we
explored
changes
NO2,
PM,
SO2,
O3
climatology
over
response
to
between
2004
2021.
This
study
attempts
investigate
long
term
trend
analysis
of
pollution
climatic
variations
during
two
scenarios
before
(2004–2013)
after
(2013–2021)
APPCAP.
We
investigated
effects
APPCAP
adoption
geographically
weighted
regression
(GWR)
differential
models
assess
contribution
pollution.
The
spatial
representation
demonstrated
how
affected
factors
Several
important
findings
were
derived:
(1)
significantly
influenced
reduction
post-scenario
(2013–2021);
(2)
Mann
Kendall
test
that
all
pollutants
showed
an
increasing
pre-APPCAP,
while
they
decreasing
trend,
except
for
O3,
post-APPCAP;
(3)
factors,
MK
precipitation
mean
minimum
temperature
tmin
(4)
innovative
(ITA)
although
no
(5)
pre-scenario,
NO2
contributed
increase
maximum
(tmax)
by
0.62
°C,
PM
raising
0.41
reduced
tmax(tmin)
0.15
°C
(0.05
°C).
increased
tmax
with
magnitude
0.38
(7.38
mm),
(0.35
°C),
respectively,
post-scenario.
In
particular,
led
across
China.
results
discussion
presented
this
can
be
beneficial
policymakers
establish
long-term
management
plans
climatological
changes.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(10), P. 2570 - 2570
Published: May 15, 2023
In
2015,
the
United
Nations
adopted
17
Sustainable
Development
Goals
(SDGs),
aiming
at
ending
poverty,
protecting
planet,
and
ensuring
peace
prosperity
[...]
Geoscience Letters,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Feb. 27, 2024
Abstract
Stringent
measures,
such
as
lockdowns,
were
implemented
to
curb
the
virus's
spread,
leading
reduced
pollution
levels
and
environmental
improvements
at
various
geographic
scales,
from
cities
regions
nations.
Such
positive
effects
have
been
found
reported
for
regional
but
not
a
global
scale
till
nowadays.
This
study
aims
fill
gap
by
uncovering
modifications
of
spatiotemporal
eco-environmental
vulnerability
patterns
between
pre-pandemic
(2016)
amid-pandemic
(2020)
periods.
By
analyzing
factors
influencing
health
or
geo-health,
human
activities,
climate
change,
ecological
dynamics,
we
seek
understand
intricate
relationships
dynamics
within
these
influential
factors.
We
examined
six
categories
vulnerability,
which
encompassed
socioeconomics,
land
resources,
natural
hazards,
hydrometeorology,
topography,
using
five-dimensional
stressor
framework.
Our
analysis
revealed
significant
decrease
in
across
all
categories,
except
very
low
level
increased
78.5%
globally.
These
findings
emphasize
detrimental
impact
activities
on
environment.
They
underscore
urgency
implementing
spatial
management
strategies
that
prioritize
sustainable
geo-health
development
foster
more
resilient
Earth.
International Journal of Digital Earth,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: July 4, 2024
This
study
investigates
the
joint
effect
of
air
pollution
and
different
types
green
spaces
(e.g.
mixed
forests)
on
stress
levels
in
South
Korea.
Two
periods
were
examined:
before
COVID-19
pandemic
(2017–2019)
during
(2020–2022).
We
used
16
total
parameters
for
our
Random
Forest
model.
Stress
was
dependent
variable,
15
other
variables
independent
parameters.
Our
focused
PM10
(forest
types).
findings
show
that
forests
reduce
stress,
particularly
when
are
low.
In
addition,
is
associated
with
increased
levels,
this
relationship
became
stronger
COVID-19.
These
indicate
protecting
improving
quality
may
improve
people's
mental
health.
provides
insights
into
how
cities
can
be
made
healthier
happier
places
to
live,
challenging
such
as
a
pandemic.
