Sustainability,
Год журнала:
2024,
Номер
16(2), С. 486 - 486
Опубликована: Янв. 5, 2024
Increases
in
land
surface
temperature
(LST)
and
the
urban
heat
island
effect
have
become
major
challenges
process
of
development.
However,
few
studies
examined
variations
LST
between
different
agglomerations
(UAs).
Based
on
MODIS
data,
we
quantitatively
analyzed
spatial
temporal
evolution
patterns
three
UAs
China
from
2000
to
2020—Beijing–Tianjin–Hebei
(BTH)
at
national
level,
Shandong
Peninsula
(SP)
regional
Central
Shanxi
(CS)
city
level—by
employing
agglomeration
built-up
area
intensity
(UABI),
linear
regression
analyses,
geodetic
detector
models.
The
results
showed
following:
(1)
pattern
BTH
was
most
regularized;
SP
gradually
evolved
“two
points”
“a
single
branch”;
CS
easily
influenced
by
neighboring
big
cities.
(2)
best-fitting
coefficients
for
BTH,
SP,
were
R2BTH
=
0.58,
R2SP
0.66,
R2CS
respectively;
every
10%
increase
UABI
warmed
LSTs
1.47
°C,
1.27
1.83
respectively.
(3)
ranking
single-factor
influence
DEM
(digital
elevation
model)
>
NDVI
T2m
(air
2
m)
POP
(population).
interacting
with
had
strongest
warming
LST,
maximum
value
q(UABI
∩
DEM)
0.951.
All
factor
interactions
an
enhancement
CS,
but
factors
a
weaker
which
q(NDVI
POP)
0.265
q(T2m
0.261.
As
development
matures,
interaction
might
cooling
environment
certain
degree.
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Фев. 27, 2024
Along
with
urbanization
and
industrialization,
carbon
emissions
have
been
increasing
significantly,
resulting
in
global
warming.
Green
space
has
widely
accepted
as
a
natural
element
cities
to
directly
increase
sinks
indirectly
reduce
emissions.
The
quantification
of
benefits
generated
by
green
is
an
important
topic.
This
paper
aims
provide
comprehensive
review
the
methods
for
measuring
spaces.
results
indicate
that
existing
assessment
can
accurately
estimate
spaces
at
large
scales.
However,
are
not
fully
applicable
studies
urban
spaces,
due
low
precision
research
results.
assimilation
method
most
suitable
study
sequestration
efficiency
plants
project
scales
through
macroscopic
means.
Even
though,
experiments
unstable
under
different
weather
conditions.
To
address
challenges,
this
proposes
photosynthetic
rate
estimation
based
on
light-response
curve
which
efficient
describe
relationship
between
light
intensity
net
studying
plant
physiological
characteristics.
newly
proposed
method,
integrating
photosynthesis-light
response
curves
associated
meteorological
data,
advantages
short
measurement
time
ensuring
standardized
experimental
environment
result
comparability.
Overall,
combine
meteorology
physiology
propose
optimizing
sink
more
convenient
application
its
simple
process
In
practice,
provides
guidance
low-carbon
planning
design,
helps
promote
energy
conservation
emission
reduction
nature-based
solutions.
PLoS ONE,
Год журнала:
2025,
Номер
20(1), С. e0299377 - e0299377
Опубликована: Янв. 16, 2025
The
assessment
of
human
perception
the
thermal
environment
is
becoming
highly
relevant
in
context
global
climate
change
and
its
impact
on
public
health.
In
this
study,
we
aimed
to
evaluate
suitability
use
four
frequently
used
comfort
indices
(thermal
indices)–Wet
Bulb
Global
Temperature
(WGBT),
Heat
Index
(HI),
Physiologically
Equivalent
(PET),
Universal
Thermal
Climate
(UTCI)–to
assess
three
large
urban
parks
Central
Europe,
using
Prague,
capital
Czech
Republic,
as
a
case
study.
We
investigated
relationship
between
park
visitors,
while
taking
into
account
effect
sex,
age,
activity
respondents
week-time
daytime
their
visit
(assessed
parameters).
Park
visitors
were
interviewed
during
summertime,
collecting
meteorological
data.
correlations
performed
explore
individual
indices,
multivariate
statistical
methods
explain
how
well
variation
can
be
explained
by
assessed
parameters.
found
significant
association
all
perception;
however,
was
strongest
with
HI.
While
independent
sex
week-time,
physical
activity,
visit.
Nevertheless,
effects
largely
conditions.
Based
results,
conclude
that
are
suitable
for
studies
Europe
HI
seems
most
architects
planners.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2023,
Номер
16, С. 8721 - 8733
Опубликована: Янв. 1, 2023
Urbanization
as
a
human
activity
alters
the
surface
structure,
modifying
urban
ecological
environment.
In
this
study,
greenness,
wetness,
building
index,
and
heatness
of
Dalian,
coastal
city
in
northeast
China,
were
extracted
from
summer
MODIS
remote
sensing
data
2010
2022,
index
(RSEI)
was
created
based
on
spatial
principal
component
analysis.
The
artificial
impervious
fraction
(AISF)
Dalian
to
analyze
impact
expansion
environment
with
background
urbanization,
temporal
change
characteristics
2022
thoroughly
evaluated.
results
show
that:
(1)
Dalian's
RSEI
primarily
ranged
0.2
0.8.
During
2010-2022,
built-up
areas
decreased
0.2-0.4
0-0.2.
However,
approaching
1
have
increased
significantly
past
ten
years,
mainly
distributed
original
forest
land
or
northern
Dalian.
(2)
From
natural
showed
positive
development
which,
area
enhanced
quality
accounted
for
59.09%;
however,
proportion
greater
than
0.8
declined
76.64%
51.05%
rose
1.11%
11.85%,
demonstrating
that
urbanization
has
had
substantial
altered
use
structure.
(3)
AISF
center
found
exceed
70%
is
centered
south's
densely
area.
boundary
extending
surrounding
territory
an
ranging
20%–70%.
This
study
objectively
analyzed
geographical
features
environment,
well
offers
constructive
recommendations
design
population
distribution
optimization.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Год журнала:
2023,
Номер
16, С. 8087 - 8101
Опубликована: Янв. 1, 2023
Global
climate
change
is
causing
various
negative
impacts
on
urban
ecosystems
and
energy
systems.
To
effectively
mitigate
adapt
to
these
changes,
it
important
understand
the
contributions
of
background
local
effects
thermal
environment
variation.
This
study
utilized
empirical
orthogonal
function
(EOF)
approach
deconstruct
long-term
MODIS
land
surface
temperature
(LST)
datasets
obtain
main
features
in
daytime
nighttime
environments.
Local
bivariate
spatial
autocorrelation
analysis
was
used
explore
underlying
causes
changes.
The
EOF
modes
explained
73.14%
81.33%
variation,
respectively.
correlation
coefficient
between
time
average
LST
>
0.99,
reflecting
role
global
effect
caused
by
change.
secondary
12.51%
4.12%
respectively,
were
spatially
correlated
with
changes
landscape
intensity,
anthropogenic
heat
emissions.
In
expansion
renewal
areas,
industrial
zones
compact
high-rise
buildings
had
most
obvious
warming
environment,
while
mid-to-high-rise
environment.
results
this
provide
valuable
insights
into
mechanisms
a
reference
for
formulating
effective
strategies
mitigating
adapting
promoting
sustainable
development.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 3065 - 3065
Опубликована: Апрель 7, 2024
The
sustainable
development
goals
(SDGs)
suggest
cities
and
communities
(Goal
11)
as
inclusive,
safe,
resilient,
human
settlements.
However,
existing
efforts
in
urban
sustainability
have
mainly
focused
on
ecological
environmental
sustainability,
with
little
attention
paid
to
development,
economic,
cultural
sustainability.
Moreover,
a
lack
of
adaptability
is
barrier
cross-nation
or
cross-region
implementation
many
frameworks
due
diverse
contexts.
Furthermore,
most
studies
developed
guides
only
for
one-time
assessments
the
progress
has
been
neglected.
Improving
by
considering
multiple
dimensions
local
through
dynamic
assessment
remains
question.
Therefore,
this
study
aims
develop
an
environment
examination
system
(UEES)
framework
that
includes
construction,
economy
industry,
resource,
municipal
facilities,
potential
dimensions.
UEES
consists
31
indicators
associated
critical
information
(i.e.,
reported
statistical
yearbooks)
from
different
levels
government
China.
An
annual
update
data
ensures
availability
data,
allowing
managers
decision
makers
regularly
track
was
applied
Qingdao,
urbanizing
city
China,
examine
feasibility
framework.
results
indicate
well-urbanized
districts
could
perform
better
terms
overall
(e.g.,
Shinan,
Shibei,
Laoshan,
Chengyang),
while
suburban
outer
areas
had
lower
levels.
not
all
than
districts.
transition
less-urbanized
lead
deterioration
deceleration
(if
industries
are
well
upgraded),
but
culture
can
be
improved.
Overall,
provides
methodological
prioritizes
comprehensiveness
regular
examinations
China
reference
improvement
identifying
aspects
low
scores
Ecological Indicators,
Год журнала:
2024,
Номер
166, С. 112551 - 112551
Опубликована: Авг. 31, 2024
Investigating
the
nonlinear
impacts
of
urban
landscape
and
climatic
parameters
on
temperatures,
a
critical
issue
within
climatology.
Chengdu,
characterized
by
its
hot,
rainy
summers
rapid
development,
serves
as
an
ideal
model
to
illustrate
these
dynamics.
Our
investigation
utilizes
advanced
analytical
methods
such
Random
Forests
(RF),
SHapley
additive
explanation
(SHAP),
Partial
Dependence
Plots
(PDP)
analyze
how
factors
influence
air
temperature
(AT)
land
surface
(LST).
Significant
findings
reveal
profound
thermal
heterogeneity
across
Chengdu's
fabric,
underscored
spatially
distinct
phenomena
where
some
regions
exhibit
strong
contrasts
in
due
varying
factors.
The
study
identifies
relative
humidity
rainfall
key
drivers
variations
during
summer
months,
reflecting
specific
idiosyncrasies.
These
insights
are
critical,
they
highlight
planning
green
infrastructure
can
be
strategically
used
mitigate
adverse
effects.
research
not
only
enhances
understanding
complex
interplays
microclimates
but
also
offers
new
perspectives
heat
management.
It
contributes
scientific
community
providing
evidence-based
strategies
for
planners
counter
island
effect
enhance
resilience
against
climate
change.
This
comprehensive
analysis
underscores
importance
incorporating
multiple
variables
into
models,
lays
groundwork
more
refined
environmental
policies
practices.