The
goal
of
this
study
is
to
develop
a
global
analysis,
based
on
data
from
2015
2022,
that
clarifies
the
impact
containment
policies
(e.g.,
lockdown
and
quarantine)
for
Coronavirus
Disease-2019
(COVID-19)
air
pollution
between
countries
different
continents.
In
context,
average
changes
CO,
NO2,
SO2,
O3,
PM2.5,
PM10
concentrations
measurements
at
ground
level
in
January,
February,
March
2019,
2020,
2021,
2022
are
compared
with
values
2015-2018
period
300
cities
19
5
Results
show
maximum
reduction
pollutant
during
given
by:
CO
(-4,367.5%)
France,
NO2
(-150.5%)
China
Australia,
SO2
(-154.1%)
Israel,
O3
(-94.1%)
China,
PM2.5
(-41.4%)
Germany
(-157.4%)
Turkey.
Findings
reveal
effects
quality
vary
significantly
depending
geographical
characteristics
regions.
This
has
main
environmental
policy
implications
because
it
critical
role
severe
control
measure
reduce
support
sustainable
environment
development.
Journal of Environmental Science and Health Part C,
Год журнала:
2023,
Номер
41(3-4), С. 77 - 120
Опубликована: Окт. 2, 2023
Climate
change
and
air
pollution
are
two
interconnected
global
challenges
that
have
profound
impacts
on
human
health.
In
Africa,
a
continent
known
for
its
rich
biodiversity
diverse
ecosystems,
the
adverse
effects
of
climate
particularly
concerning.
This
review
study
examines
implications
health
well-being
in
Africa.
It
explores
intersection
these
factors
their
impact
various
outcomes,
including
cardiovascular
disease,
respiratory
disorders,
mental
health,
vulnerable
populations
such
as
children
elderly.
The
highlights
disproportionate
groups
emphasizes
need
targeted
interventions
policies
to
protect
Furthermore,
it
discusses
role
exacerbating
potential
long-term
consequences
public
also
addresses
importance
considering
temperature
precipitation
changes
modifiers
pollution.
By
synthesizing
existing
research,
this
aims
shed
light
complex
relationships
highlight
key
findings,
knowledge
gaps,
solutions
mitigating
region.
insights
gained
from
can
inform
evidence-based
mitigate
promote
sustainable
development
Applied Sciences,
Год журнала:
2022,
Номер
12(24), С. 12806 - 12806
Опубликована: Дек. 13, 2022
The
goal
of
this
study
is
to
analyze
how
levels
air
pollution
changed
between
countries
with
their
restriction
policy
lockdown
cope
the
COVID-19
pandemic.
design
compares
average
changes
CO,
NO2,
SO2,
O3,
PM2.5
and
PM10
concentrations
based
on
measurements
at
ground
level
in
January,
February,
March
for
years
2019,
2020,
2021,
2022
(during
pandemic
crisis)
values
a
2015–2018
baseline
period
(ex-ante
pandemic)
300
cities
19
five
geoeconomic
regions.
Results
reveal
that
maximum
reduction
pollutant
given
by:
CO
(−4367.5%)
France,
NO2
(−150.5%)
China
Australia,
SO2
(−154.1%)
Israel,
O3
(−94.1%)
China,
(−41.4%)
Germany,
(−157.4%)
Turkey.
Findings
show
effects
policies
quality
vary
significantly
countries,
depending
different
geographical,
economic,
industrial
social
characteristics
countries.
These
results
clarify
critical
relationship
control
measures
crises
can
support
best
practices
environmental
pathways
sustainable
development.
Environmental Science and Pollution Research,
Год журнала:
2024,
Номер
31(18), С. 27069 - 27084
Опубликована: Март 19, 2024
Abstract
Aerosol
optical
depth
(AOD)
is
an
essential
metric
for
evaluating
the
atmospheric
aerosol
load
and
its
impacts
on
climate,
air
quality,
public
health.
In
this
study,
AOD
data
from
Copernicus
Atmosphere
Monitoring
Service
(CAMS)
were
validated
against
ground-based
measurements
Robotic
Network
(AERONET)
throughout
Eastern
Mediterranean,
a
region
characterized
by
diverse
types
sources.
A
comparative
analysis
was
performed
3-hourly
CAMS
values
at
550
nm
observations
20
AERONET
stations
across
Cyprus,
Greece,
Israel,
Egypt,
Turkey
2003
to
2021.
The
exhibited
good
overall
agreement
with
data,
demonstrated
Pearson
correlation
coefficient
of
0.77,
mean
absolute
error
(MAE)
0.08,
root
square
(RMSE)
0.11.
Nonetheless,
spatial
temporal
variations
observed
in
performance,
site-specific
coefficients
ranging
0.57
0.85,
lowest
correlations
occurring
Egypt
highest
Greece.
An
underestimation
noted
inland
sites
high
levels,
while
better
coastal
lower
levels.
diurnal
variation
indicated
improved
reanalysis
performance
during
afternoon
evening
hours.
Seasonally,
showed
AODs
spring
autumn,
summer
winter.
This
study
marks
first
comprehensive
validation
offering
significant
enhancements
regional
quality
climate
modeling,
underscores
role
consistent
refining
estimations
within
complex
dynamic
geographic
setting.
Advanced Sustainable Systems,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 4, 2024
Abstract
Despite
the
recognition
of
importance
air
pollution
in
Morocco,
current
scientific
studies
are
predominantly
descriptive
and
limited.
This
systematic
review
aims
to
provide
a
comprehensive
overview
delineating
research
status
identifying
gaps.
Searches
conducted
across
PubMed,
Google
Scholar,
Scopus
from
2016
May
2023
yielded
over
3200
articles.
From
these,
64
original
deemed
eligible
selected,
focusing
on
Moroccan
regions
or
cities.
Review
articles
those
dealing
with
indoor
quality
excluded,
no
restriction
specific
pollutant.
Research
highlights
road
traffic
as
primary
contributor
followed
by
industrial
activities.
Exposure
pollutants
is
associated
adverse
health
effects,
including
mortality,
lung
disease,
respiratory
disorders,
asthma
attacks,
cardiovascular
disease.
Pollution
levels
vary
among
cities,
Casablanca,
Kenitra,
Essaouira
consistently
facing
higher
due
transportation
emissions.
Altitude
also
influences
quality,
higher‐altitude
areas
generally
experiencing
lower
pollutant
concentrations.
The
need
for
extensive
pollution's
economic
improved
modeling,
broader
focus
beyond
just
regulated
ones.
PLoS ONE,
Год журнала:
2024,
Номер
19(8), С. e0307214 - e0307214
Опубликована: Авг. 22, 2024
Urbanization
and
industrialization
have
led
to
a
significant
increase
in
air
pollution,
posing
severe
environmental
public
health
threat.
Accurate
forecasting
of
quality
is
crucial
for
policymakers
implement
effective
interventions.
This
study
presents
novel
AIoT
platform
specifically
designed
PM
2.5
monitoring
Southwestern
Morocco.
The
utilizes
low-cost
sensors
collect
data,
transmitted
via
WiFi/3G
analysis
prediction
on
central
server.
We
focused
identifying
optimal
features
using
Minimum
Redundancy
Maximum
Relevance
(mRMR)
LightGBM
Recursive
Feature
Elimination
(LightGBM-RFE)
techniques.
Furthermore,
Bayesian
optimization
was
employed
fine-tune
hyperparameters
popular
machine
learning
models
the
most
accurate
concentration
forecasts.
Model
performance
evaluated
Root
Mean
Square
Error
(RMSE),
Absolute
(MAE),
coefficient
determination
(R
2
).
Our
results
demonstrate
that
model
achieved
superior
prediction,
with
reduction
RMSE
compared
other
models.
highlights
potential
platforms
coupled
advanced
feature
selection
hyperparameter
forecasting.
