Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Апрель 16, 2024
Introduction:
In
response
to
China’s
ambitious
dual-carbon
goals,
this
study
investigates
the
spatial
correlation
and
influencing
factors
of
carbon
emission
intensity
within
Guangdong-Hong
Kong-Macao
Great
Bay
Area
(GBA),
a
region
pivotal
for
nation’s
energy
conservation
reduction
efforts.
Through
comprehensive
analysis
encompassing
period
from
2000
2020,
research
aims
delineate
dynamics
emissions
identify
actionable
insights
regional
low-carbon
development.
Methods:
Utilizing
an
integrated
methodology
comprising
autocorrelation
analysis,
Social
Network
Analysis
(SNA),
Quadratic
Assignment
Procedure
(QAP),
analyzes
data
alongside
socio-economic
variables.
These
methodologies
allow
nuanced
exploration
structure
determination
across
GBA.
Results:
Findings
reveal
cyclical
fluctuation
in
network
characterized
by
varying
degrees
cohesion
among
cities,
indicating
significant
opportunities
optimization.
A
“core-periphery”
pattern
emerges,
with
economically
robust
cities
such
as
Hong
Kong
Macao
at
core,
less
developed
like
Huizhou
Jiangmen
on
periphery.
Cities
Guangzhou
Shenzhen
play
crucial
mediator
roles.
The
QAP
further
identifies
six
major
factors:
geographic
proximity,
economic
development
level,
urbanization
rate,
industrial
configuration,
level
technological
innovation,
environmental
protection
efforts,
latter
four
having
markedly
positive
impact
relevance.
Discussion:
study’s
underscore
importance
understanding
role
socioeconomic
shaping
these
patterns.
For
policymakers
stakeholders
GBA,
findings
highlight
necessity
targeted
intervention
strategies
that
consider
both
unique
position
broader
context.
This
approach
can
significantly
contribute
achieving
objectives,
promoting
conservation,
facilitating
transition
economy.
Environmental Science & Technology,
Год журнала:
2023,
Номер
57(50), С. 20992 - 21004
Опубликована: Дек. 6, 2023
Co-controlling
the
emissions
of
air
pollutants
and
CO2
from
automobiles
is
crucial
for
addressing
intertwined
challenges
pollution
climate
change
in
China.
Here,
we
analyze
synergetic
characteristics
pollutant
China's
on-road
transportation
identify
co-drivers
influencing
these
trends.
Using
detailed
emission
inventories
employing
index
decomposition
analysis,
found
that
despite
notable
progress
control,
minimizing
remains
a
formidable
task.
Over
2010-2020,
estimated
sectoral
VOCs,
NOx,
PM2.5,
CO
declined
by
49.9%,
25.9%,
75.2%,
63.5%,
respectively,
while
increased
46.1%.
Light-duty
passenger
vehicles
heavy-duty
trucks
have
been
identified
as
primary
contributors
to
carbon-pollution
co-emissions,
highlighting
need
tailored
policies.
The
driver
analysis
indicates
socioeconomic
changes
are
drivers
growth,
policy
controls,
particularly
advances
efficiency,
can
facilitate
co-reductions.
Regional
disparities
emphasize
refinement,
including
reducing
dependency
on
fuel
subsector
prioritizing
co-reduction
strategies
high-emission
provinces
freight
subsector.
Overall,
our
study
confirms
effectiveness
control
policies
provides
valuable
insights
future
makers
China
other
similarly
positioned
developing
countries.
International Journal of Urban Sciences,
Год журнала:
2025,
Номер
unknown, С. 1 - 35
Опубликована: Янв. 16, 2025
Understanding
urban
expansion's
spatial
and
temporal
evolution
is
crucial
for
sustainable
development.
Previous
research
primarily
focuses
on
two-dimensional
perspectives,
overlooking
vertical
This
study
investigates
three-dimensional
expansion
in
Beijing-Tianjin-Hebei
(BTH),
Yangtze
River
Delta
(YRD),
Pearl
(PRD)
from
1998
to
2018
using
Local
Climate
Zone
(LCZ)
data,
standard
deviation
ellipse,
compactness
indicators,
landscape
ecology
techniques.
Findings
reveal
that
BTH
showed
minimal
variation
direction.
YRD
predominantly
expanded
northwest.
PRD
eastward.
Scattered
patches
with
declining
density
characterize
areas.
Open
lowrise
buildings
dominate
the
YRD,
while
transitioned
compact
open
buildings.
The
increase
corresponds
rising
complexity
fragmentation.
highrise
buildings,
though
dominant,
show
a
gradual
decrease.
offers
comprehensive
insights
into
dynamics
of
expansion,
aiding
developing
more
habitable
efficient
cities.
