Geological Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 5, 2025
ABSTRACT
The
green
park
serves
as
a
significant
spatial
carrier
for
China's
strategy
to
become
manufacturing
powerhouse
and
promote
industrial
transformation
upgrading.
It
is
crucial
platform
implementing
driving
the
development
of
manufacturing,
promoting
harmonious
coexistence
between
man
nature
in
current
era.
main
focus
this
study
total
249
parks
announced
by
Ministry
Industry
Information
Technology,
it
employs
multi‐time
point
PSM‐DID
method
investigate
280
prefecture‐level
cities.
results
show
that:
(1)
coefficient
certification
policy
estimated
have
significantly
negative
impact
at
1%
significance
level.
(2)
facilitates
integration
pollution
reduction
carbon
efforts
leveraging
technology
innovation
government
support.
(3)
effect
has
regional
consistency
resource
heterogeneity.
Therefore,
great
effects
pathways
on
synergies
reduction.
Transactions in GIS,
Год журнала:
2024,
Номер
28(7), С. 2526 - 2544
Опубликована: Сен. 22, 2024
ABSTRACT
In
this
era
of
rapid
development,
environmental
quality
is
an
essential
aspect
sustainable
development.
A
healthy
urban
environment
supports,
regulates,
and
provides
livable
conditions.
areas,
considerably
affected
by
socioeconomic
factors
such
as
population
expansion
economic
For
decision‐making,
it
also
significant
for
stakeholders
policymakers
to
understand
the
impact
on
quality.
While
previous
studies
have
examined
quality,
they
often
focused
single
cities
or
limited
parameters.
This
research
addresses
these
limitations
conducting
a
comparative
analysis
two
major
Asian
with
similar
demographic
features,
utilizing
comprehensive
set
variables.
Our
innovative
approach
combines
open‐source
datasets
advanced
remote
sensing
techniques
provide
more
holistic
assessment
over
decades.
We
analyzed
last
decades
selected
parameters:
surface
greenness,
moisture,
land
temperature.
Lahore
(Pakistan)
Wuhan
(China)
were
having
approximately
same
features.
Correlation
matrix
has
been
used
assess
relationship
between
variables
social‐economic
variables:
carbon
emission.
coefficient
indicated
that
correlates
negatively
greenness
moisture
both
(−0.67
−0.71)
District
(−0.5
−0.75),
respectively,
while
had
positive
relation
temperature:
0.65
0.57
District,
respectively.
These
effects
are
prominent
within
10
km
distance
from
city
center,
where
substantial
observed
during
time
window.
Engineering Applications of Computational Fluid Mechanics,
Год журнала:
2024,
Номер
18(1)
Опубликована: Авг. 23, 2024
This
paper
investigates
the
application
of
three
nature-inspired
optimisation
algorithms
–
SHO,
MFO,
and
GOA
combined
with
four
machine
learning
methods
Gaussian
Processes,
Linear
Regression,
MLP,
Random
Forest
to
enhance
carbon
dioxide
emission
prediction
in
OECD
Asia
Oceania
region.
The
study
uses
historical
emissions
data,
socioeconomic
indicators
such
as
GDP,
population
density,
energy
consumption,
urbanisation
rates,
environmental
temperature,
precipitation,
forest
cover.
Through
comprehensive
experimentation,
evaluates
performance
each
combination,
revealing
varying
effectiveness
levels.
MFO-MLP
combination
achieved
highest
accuracy
R2
values
0.9996
0.9995
RMSE
11.7065
12.8890
for
training
testing
datasets,
respectively.
GOA-MLP
configuration
0.9994
0.99934
15.01306
14.59333.
SHO-MLP
while
effective,
showed
lower
0.9915
0.9946
55.4516
41.575.
findings
suggest
hybrid
techniques
can
significantly
compared
conventional
methods.
research
provides
valuable
insights
policymakers
stakeholders,
indicating
that
optimised
models
support
more
informed
effective
policy-making
sustainability
efforts
Future
should
explore
additional
ensemble
improve
robustness
accuracy.
These
offer
a
robust
tool
forecast
accurately,
aiding
developing
targeted
strategies
reduce
footprints
achieve
climate
goals.
Sustainability,
Год журнала:
2024,
Номер
16(19), С. 8602 - 8602
Опубликована: Окт. 3, 2024
This
research
uses
advanced
statistical
methods
to
examine
climate
change
mitigation
policies’
economic
and
environmental
impacts.
The
primary
objective
is
assess
the
effectiveness
of
carbon
pricing,
renewable
energy
subsidies,
emission
trading
schemes,
regulatory
standards
in
reducing
CO2
emissions,
fostering
growth,
promoting
employment.
A
mixed-methods
approach
was
employed,
combining
regression
analysis,
cost–benefit
analysis
(CBA),
computable
general
equilibrium
(CGE)
models.
Data
were
collected
from
national
global
databases,
sensitivity
analyses
conducted
ensure
robustness
findings.
Key
findings
revealed
a
statistically
significant
reduction
emissions
by
0.45%
for
each
unit
increase
pricing
(p
<
0.01).
Renewable
subsidies
positively
correlated
with
3.5%
employment
green
sector
0.05).
Emission
schemes
projected
GDP
1.2%
over
decade
However,
chi-square
tests
indicated
that
disproportionately
affects
low-income
households
0.05),
highlighting
need
compensatory
policies.
study
concluded
balanced
policy
mix,
tailored
contexts,
can
optimise
outcomes
while
addressing
social
equity
concerns.
Error
margins
projections
remained
below
±0.3%,
confirming
models’
reliability.
