Discover Geoscience,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: July 18, 2024
Abstract
The
air
quality
of
many
geographical
locations
has
been
deteriorating
in
the
last
decades.
This
deterioration
affected
a
very
large
number
people,
and
they
have
diagnosed
with
asthma
other
respiratory
problems.
Among
various
pollutants,
PM2.5
is
major
cause
numerous
health-related
Predicting
concentration
levels
using
ML
models
these
dissolved
particles
might
help
residents
government
prepare
better
prevention
safety
plan
that
can
eventually
lower
risk
factor.
present
study
based
on
predicting
Delhi
by
applying
meteorological
features
like
wind
speed,
temperature,
humidity,
visibility,
etc.
For
prediction
PM2.5,
linear
regression,
decision
tree
RF
KNN
Lasso
regression
methods
were
employed
study.
model
performance
was
assessed
parameters,
including
MAE,
MSE,
RMSE,
R2
Score.
In
comparative
all
models,
demonstrated
most
favorable
outcomes.
exhibited
superior
fit
to
data,
evidenced
its
lowest
RMSE
value
(52.19),
outperforming
random
forest
(RMSE
=
94.75),
K
Nearest
Neighbor
83.93),
each
which
yielded
higher
scores
compared
regression.
65.20)
68.22)
also
improved
following
findings
this
advocate
for
implementing
strategies
enforce
stringent
emission
regulations
both
industrial
operations
vehicular
activities.
Such
measures
are
imperative
mitigating
pollution
subsequently
curtailing
adverse
impacts
public
health
within
region.
Additionally,
underscores
necessity
further
research
endeavours
explore
future
avenues,
aim
garnering
global
attention
towards
addressing
pressing
issue.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2241 - 2241
Published: March 4, 2025
Rapid
urbanization
and
industrialization
have
significantly
impacted
the
air
quality
in
India’s
National
Capital
Region
(NCR),
posing
severe
environmental
public
health
challenges.
This
study
aims
to
identify
micro-level
pollution
hotspots
assess
degradation
NCR.
integrates
Sentinel-5P
satellite
data
with
ground
station
measurements.
Geographic
Information
System
(GIS)
techniques
regression
analysis
are
employed
refine
validate
satellite-derived
across
Analysis
reveals
variable
levels
NCR,
significant
concentrations
of
nitrogen
dioxide
(NO2)
East
North-East,
carbon
monoxide
(CO)
Central
region.
Aerosol
Index
identifies
North-East
as
critical
due
industrial
activities
construction
dust.
Particulate
matter
often
exceed
national
standards
during
colder
months,
particulate
(PM2.5)
(PM10)
reaching
up
300
µg/m3
350
µg/m3,
respectively.
Ground-based
confirmed
high
ozone
(O3)
North-West,
0.125
ppm,
emphasizing
impact
vehicular
emissions.
The
integration
imagery
provided
a
comprehensive
view
spatial
distribution
pollutants,
highlighting
areas
for
targeted
interventions.
findings
underscore
need
sustainable
urban
planning
stricter
emission
controls
mitigate
Enhanced
monitoring
control
strategies
essential
address
identified
hotspots,
particularly
East,
regions.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 15, 2025
As
global
urbanization
accelerates,
the
rapidly
growing
urban
population
poses
significant
challenges
to
realization
of
sustainable
development.
The
Urban
Vulnerability–Adaptation–Settlements
(VAS)
nexus
has
emerged
as
a
critical
research
domain
address
these
challenges.
This
study
conducts
bibliometric
analysis
887
highly
cited
publications
from
Web
Science
Core
Collection
identify
key
scholars,
institutions,
countries,
core
domains,
and
emerging
trends
in
field.
findings
reveal
that:
(1)
Research
related
VAS
can
be
divided
into
three
developmental
phases:
initial
budding
stage
(1958–1991),
high-growth
(1992–2018),
stable
development
(2019–2024);
(2)
Current
primarily
focuses
on
urbanization,
land
industrial
development,
while
addressing
issues
such
environmental
sustainability,
social
equity,
smart
governance,
community
development;
(3)
Future
should
place
greater
emphasis
cities,
green
infrastructure,
energy
transitions,
also
exploring
policy
innovations
technological
advancements
foster
more
equitable
future.
Based
finding,
this
argues
that
future
lies
not
“speed
growth”
but
“quality
resilience.”
Researchers
are
encouraged
promote
multi-scale,
multi-dimensional
studies
coupling
mechanisms,
integrating
inclusive
goals
practice.
