Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Jan. 29, 2024
Rising
temperatures,
a
major
global
environmental
challenge,
negatively
impact
health,
the
environment,
society,
and
economy.
Surface
Urban
Heat
Islands
(SUHI),
exacerbated
by
urbanization
climate
change,
intensify
vulnerabilities
for
urban
areas
residents.
planning
design
aime
to
reduce
these
through
large-scale
small-scale
interventions.
However,
addressing
significance
of
capillary
effects
resulting
from
interventions
bottom-up
community
engagement
is
important.
acupuncture
(UA)
an
emerging
approach
in
contemporary
that
focuses
on
mitigate
SUHIs
at
level.
This
study
develops
framework
mitigating
impacts
UA
implementation
design.
The
proposed
consists
two
key
phases:
diagnosis
prescription.
During
phase,
we
analyzed
heat-vulnerable
points
identify
indicators
contributing
development
exacerbation
SUHIs.
Then,
employed
Matrix
Cross
Impact
Multiplications
Applied
Classification
(MICMAC)
technique
comprehensively
assess
75
influential
related
structure
across
various
aspects
scales,
focusing
mesoscale.
Among
them,
30
leading
were
identified,
which
morphological
emerged
as
significant
catalysts.
Moving
prescription
developed
UA-based
called
“5
Wh
Question”
addresses
five
fundamental
questions:
why,
who,
what,
how,
where.
Our
findings
can
provide
comprehensive
solutions
policymakers
planners
address
identified
points.
Geocarto International,
Journal Year:
2022,
Volume and Issue:
38(1)
Published: Nov. 29, 2022
Urban
environmental
quality
consisting
of
ecological,
physical,
and
socio-economic
components,
often
deteriorates
due
to
rapid
urbanization.
Therefore,
using
Remote
sensing
GIS
environment,
a
composite
measure
is
applied
quantify
the
spatial
heterogeneity
urban
for
Class-1
Indian
city
(Siliguri).
In
this
study,
Environmental
Quality
Index
was
constructed
15
indicators
three
interconnected
dimensions
(eco-environment,
landscape
built-up,
socio-economy).
The
domains
were
computed
utilizing
Principal
Component
Analysis
with
average
aggregation
techniques.
Exploratory
Spatial
Data
includes
Moran's
I
Local
indicator
auto-correlation,
used
leverage
information
clusters,
heterogeneity,
outliers
based
on
Index.
results
show
that
Siliguri's
northern,
north-western,
southern
parts
experience
good
quality.
effectiveness
employed
model
checked
R2
(0.832),
providing
fit
model.
Moreover,
pattern
(except
socio-economy)
revealed
Low-Low
values
predominantly
clustered
in
centre,
while
High-High
patterns
are
concentrated
towards
periphery.
Also,
value
indicated
existence
autocorrelation
non-randomness
Siliguri
City.
obtained
from
analysis
indicate
differentiation
across
study
area.
study's
outcome
relevant
planning,
frequent
monitoring
quality,
governance,
well-being
inhabitants
sustainable
space.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Journal Year:
2024,
Volume and Issue:
17, P. 4109 - 4124
Published: Jan. 1, 2024
The
escalation
of
greenhouse
gas
emissions
has
led
to
a
continuous
rise
in
land
surface
temperature
(LST).
Studies
have
highlighted
the
substantial
influence
urban
morphology
on
LST;
however,
impact
different
dimensional
indicators
and
their
gradient
effects
remain
unexplored.
Selecting
area
Shenyang
as
case,
we
chose
various
representing
dimensions.
By
employing
XGBoost
for
regression
analysis,
aimed
explore
2D
3D
seasonal
LST
its
effect.
following
results
were
obtained:
(1)
spatial
pattern
spring
winter
was
higher
suburbs
than
center.
(2)
correlation
patterns
similar,
except
proportion
woodland
grass
(PWG),
digital
elevation
model
(DEM),
sky
view
factor
(SVF),
which
exhibited
opposing
trends
summer
autumn.
(3)
Vegetation
construction
had
highest
index,
followed
by
building
forms
natural
landscapes
morphology.
(4)
each
indicator
varied
significantly
across
gradients.
Among
all
indicators,
landscape
social
development,
forms,
skyscape
impacts
areas.
built-up
areas
greater
suburban
findings
this
study
can
assist
adjusting
provide
valuable
recommendations
targeted
improvements
thermal
environments,
thereby
contributing
sustainable
development.
Land,
Journal Year:
2021,
Volume and Issue:
11(1), P. 14 - 14
Published: Dec. 22, 2021
The
changes
of
land
use/land
cover
(LULC)
are
important
factor
affecting
the
intensity
urban
heat
island
(UHI)
effect.
Based
on
Landsat
image
data
Wuhan,
this
paper
uses
cellular
automata
(CA)
and
artificial
neural
network
(ANN)
to
predict
future
in
LULC
LST.
results
show
that
built-up
area
Wuhan
has
expanded,
reaching
511.51
545.28
km2,
while
vegetation,
water
bodies
bare
will
decrease
varying
degrees
2030
2040.
If
continues
expand
rapidly,
proportion
30~35
°C
rise
52.925%
55.219%,
affected
with
temperature
>35
15.264
33.612
respectively.
direction
expansion
range
LST
is
obviously
similar
area.
In
order
control
alleviate
UHI,
rapid
impervious
layers
(built-up
areas)
should
be
avoided
greatest
extent,
city’s
“green
development”
strategy
implemented.
Environment International,
Journal Year:
2022,
Volume and Issue:
170, P. 107574 - 107574
Published: Oct. 8, 2022
The
inconstant
climate
change
and
rapid
urbanization
substantially
disturb
the
global
thermal
balance
induce
severe
urban
heat
island
(UHI)
effect,
adversely
impacting
human
development
health.
Existing
literature
has
revealed
UHI
characteristics
driving
factors
at
an
scale,
but
interactions
between
main
of
a
grid
scale
assessment
on
context
zones
remain
unclear.
Therefore,
based
multidimensional
climatic
socio-economic
statistical
datasets,
multi-time
surface
intensity
(SUHI)
was
investigated
in
this
study
to
analyze
how
natural-anthropogenic
drivers
affect
variance
SUHI
vary
their
importance
for
changes
other
interaction
factors.
results
show
that
mean
value
summer
is
higher
than
winter,
daytime
nighttime
seasonal
daily
scale.
SUHIs
different
have
significant
differences.
When
analyzing
drivers'
contributions
with
LightGBM
model
SHAP
algorithm,
we
know
monthly
precipitation
(PREC),
estimated
population
(POP)
pressure
(PRES)
are
three
major
SUHI.
mainly
PREC,
POP
anthropogenic
emission
(AHE),
influence
rules
natural
driversare
mostly
opposite
daytime.
This
highlights
fundamental
role
background
designing
strategies.
Irrigation
or
artificial
rainfall
will
be
effective
mitigate
low
areas,
while
it
more
reduce
AHE
high
areas.
In
where
greening
can
difficult
most
developed
cities,
reducing
AHE,
increasing
per
capita
GDP
controlling
may
also
contribute
alleviating
provides
ideas
developing
responsive
mitigation
policies
realistic
setting.
