Journal of Cleaner Production,
Год журнала:
2023,
Номер
425, С. 138892 - 138892
Опубликована: Сен. 22, 2023
Global
warming
is
a
pressing
problem
that
necessitates
immediate
action.
This
phenomenon
particularly
affecting
the
quality
of
life
in
larger
cities
due
to
population
growth
and
human
mobility.
Understanding
space-time
variability
heat
stress
various
locations
will
face
future
therefore
crucial
for
us.
Taking
into
account
aforementioned
facts,
current
study
examined
evolution
Hi
index
four
European
capitals
-
Berlin,
Madrid,
Paris,
Rome
during
months
July,
August,
September
between
2008,
2012,
2017.
The
Space
Agency
(ESA)
UrbClim
climate
model
was
used
collect
environmental
data.
Furthermore,
Local
Climatic
Zones
(LCZ)
classifications
land
use/cover
change
(LULC)
coverages
were
improve
evaluation
extrapolation
results.
According
findings,
studied
areas
experienced
significant
increases
temperatures
2008
cities'
average
increase
0.31
°C
per
decade,
with
southern
experiencing
greater
intensity
northern
less
intensity.
When
comparing
spatiotemporal
different
zones,
discovered
more
impervious
fewer
green
are
vulnerable
potential
stress.
As
result,
urban
developments
can
be
able
create
spaces
resistant
stress,
improving
people's
life.
Atmospheric measurement techniques,
Год журнала:
2022,
Номер
15(3), С. 735 - 756
Опубликована: Фев. 9, 2022
Abstract.
Due
to
rapid
urbanization
and
intense
human
activities,
the
urban
heat
island
(UHI)
effect
has
become
a
more
concerning
climatic
environmental
issue.
A
high-spatial-resolution
canopy
UHI
monitoring
method
would
help
better
understand
thermal
environment.
Taking
city
of
Nanjing
in
China
as
an
example,
we
propose
for
evaluating
intensity
(CUHII)
at
high
resolution
by
using
remote
sensing
data
machine
learning
with
random
forest
(RF)
model.
Firstly,
observed
parameters,
e.g.,
surface
albedo,
land
use/land
cover,
impervious
surface,
anthropogenic
flux
(AHF),
around
densely
distributed
meteorological
stations
were
extracted
from
satellite
images.
These
parameters
used
independent
variables
construct
RF
model
predicting
air
temperature.
The
correlation
coefficient
between
predicted
temperature
test
set
was
0.73,
average
root-mean-square
error
0.72
∘C.
Then,
spatial
distribution
CUHII
evaluated
30
m
based
on
output
We
found
that
wind
speed
negatively
correlated
CUHII,
direction
strongly
offset
direction.
reduced
distance
center,
due
decreasing
proportion
built-up
areas
AHF
same
framework
developed
real-time
assessment
temporal
(30
1
h)
provides
scientific
support
studying
changes
causes
well
pattern
environments.
Climate Risk Management,
Год журнала:
2024,
Номер
44, С. 100603 - 100603
Опубликована: Янв. 1, 2024
Urban
Heat
Island
(UHI)
and
Waves
(HWs)
are
very
important
research
topics
as
they
have
a
strong
impact
on
society
their
synergies
not
enough
understood.
Urbanisation
global
warming
dynamic
processes
that
amplify
the
UHI
intensity
HWs,
well
synergies.
In
this
context,
it
is
surprise
to
see
number
of
publications
tackling
linkages
between
HWs
has
constantly
increased
in
last
decades.
The
development
new
instruments
technologies
allowed
for
consistent
improvements
temporal
spatial
resolution
data
boosted
both
monitoring
analysis
UHI-HW.
use
satellite
remote
sensing
was
limited
at
beginning
analysed
period
become
common
practice
decade.
Last,
but
least,
interdisciplinary
approaches,
including
physical,
social,
economic
aspects
more
frequent
support
integrated
urban
areas.
Such
changes
captured
review
than
400
titles,
covering
1991–2022,
aiming
foster
further
emergent
climate
change
risks
scales
contextualise
future
planning.
This
provides
comprehensive,
accessible
structured
overview
UHI-HW
topic
better
understanding
gaps
be
addressed
by
research.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111669 - 111669
Опубликована: Фев. 1, 2024
A
fundamental
aspect
of
ensuring
urban
sustainability
is
a
comprehensive
understanding
the
driving
mechanisms
behind
heat
island
(UHI)
phenomenon.
The
primary
objective
this
study
to
investigate
spatiotemporal
variations
and
underlying
surface
(SUHI)
in
Hefei.
employed
local
climate
zone
(LCZ)
method
analyze
land
morphology
spatial
structure
for
2014
2021.
Subsequently,
calculations
were
conducted
derive
intensity
(SUHII),
normalized
difference
built-up
index
(NDBI),
vegetation
(NDVI),
gravity
water
(GWI),
building
fraction
(BSF),
road
density
(RD),
poi
(PD),
population
(PPD).
exploration
by
which
factors
influence
SUHI
was
utilizing
both
Pearson
correlation
analysis
geographic
detector
models.
results
revealed
that
sparsely
built
(LCZ
9)
low
plants
D)
predominantly
characterized
natural
coverage
areas,
respectively.
summer
season
distinguished
most
extensive
distribution
highest
SUHII
levels.
Significantly,
consistently
exceeded
those
LCZs
when
contrasted
LCZs.
Large
lowrise
8)
displayed
levels,
whereas
G)
exhibited
lowest
values.
NDBI
took
precedence
showed
positive
with
SUHI.
Among
socio-economic
factors,
height
(BH)
demonstrated
superior
explanatory
capability
compared
other
variables.
interaction
between
NDVI
maximized
explanation
under
different
seasons.
findings
will
serve
as
critical
insights
planners
policymakers,
enabling
development
scientifically-based
efficacious
strategies
mitigate
Sustainability,
Год журнала:
2021,
Номер
13(19), С. 10923 - 10923
Опубликована: Сен. 30, 2021
With
rapid
urbanization,
population
growth
and
anthropogenic
activities,
an
increasing
number
of
major
cities
across
the
globe
are
facing
severe
urban
heat
islands
(UHI).
UHI
can
cause
complex
impacts
on
environment
human
health,
it
may
bring
more
effects
under
heatwave
(HW)
conditions.
In
this
paper,
a
holistic
review
is
conducted
to
articulate
findings
synergies
between
HW
corresponding
mitigation
measures
proposed
by
research
community.
It
worth
pointing
out
that
most
studies
show
areas
vulnerable
than
rural
during
HWs,
but
opposite
also
observed
in
some
studies.
Changes
energy
budget
drivers
discussed
compared
explain
such
discrepancies.
Recent
indicate
albedo,
vegetation
fraction
irrigation
lower
temperature
HWs.
Research
gaps
topic
necessitate
concerning
developing
countries.
Moreover,
multidisciplinary
considering
factors
as
UHI,
HW,
comfort,
pollution
dispersion
efficacy
should
be
provide
accurate
explicit
guidance
planners
policymakers.