Water,
Год журнала:
2022,
Номер
14(19), С. 3091 - 3091
Опубликована: Окт. 1, 2022
Urban
water
bodies
have
a
cooling
effect
and
alter
the
local
urban
thermal
environment.
However,
current
research
is
unclear
regarding
relationships
between
factors
such
as
spatial
density,
area
proportion,
distribution
pattern
of
on
To
clarify
these
relationships,
it
critical
to
quantify
evaluate
influence
in
landscape.
Therefore,
we
analyzed
different
environment
at
microscale
by
comparing
their
proportions
patterns
using
numerical
simulations.
Furthermore,
day–night
variation
with
areas
patterns.
We
used
separation
index
(SI),
landscape
shape
(LSI)
indicate
layouts
bodies.
The
results
showed
that
body
was
higher
during
day
than
night.
These
also
proportion
LSI
were
positively
correlated
body’s
effect.
efficiency
gradually
decreased
increasing
proportion.
When
increased,
more
within
region
displayed
larger
values,
but
uniformity
regional
diminished.
Additional
had
no
significant
positive
correlation
SI.
A
moderate
SI
could
enhance
link
patches.
Remote Sensing,
Год журнала:
2021,
Номер
13(21), С. 4338 - 4338
Опубликована: Окт. 28, 2021
This
study
investigated
monthly
variations
of
surface
urban
heat
island
intensity
(SUHII)
and
the
applicability
local
climate
zones
(LCZ)
scheme
for
land
temperature
(LST)
differentiation
within
three
spatial
contexts,
including
urban,
rural
their
combination,
in
Shenyang,
China,
a
city
with
monsoon-influenced
humid
continental
climate.
The
SUHII
LST
Shenyang
were
obtained
through
12
images,
one
each
month
(within
period
between
2018
2020),
retrieved
from
Thermal
InfraRed
Sensor
(TIRS)
10
Landsat
8
based
on
split
window
algorithm.
Non-parametric
analysis
Kruskal-Wallis
H
test
multiple
pairwise
comparison
adopted
to
investigate
differentiations
LCZs.
Overall,
LCZ
exhibited
spatiotemporal
variations.
July
August
two
months
when
underwent
strong
effects.
longer
cool
than
effects,
occurring
November
May.
June
October
transition
cool–heat
heat–cool
phenomena,
respectively.
was
dependent
definition
boundaries,
where
smaller
buffering
zone
resulted
weaker
SUHI
or
(SUCI)
phenomenon
larger
area
corresponded
SUCI
as
well.
LCZs
did
not
follow
fixed
order,
August,
LCZ-10
(Heavy
industry)
had
highest
mean
LST,
followed
by
LCZ-2
(Compact
midrise)
then
LCZ-7
(Lightweight
low-rise).
In
comparison,
LCZ-7,
LCZ-8
(Large
low-rise)
LCZ-9
(Sparsely
built)
varied
-10
built
that
context,
while
LCZ-2,
LCZ-3
low-rise),
LCZ-8,
five
context.
suitability
month,
October,
strongest
capability
May,
it
weakest
capability.
Urban
context
also
made
difference
suitability,
compared
whole
(the
combination
areas),
either
contexts
weakened.
Moreover,
higher
level
an
land-cover
suitability.
The Science of The Total Environment,
Год журнала:
2022,
Номер
863, С. 160712 - 160712
Опубликована: Дек. 9, 2022
The
contributions
of
urban
blue
and
green
spaces
on
cooling
are
widely
acknowledged.
However,
the
combined
effect
integrated
space
remains
uncertain.
In
this
study,
a
combination
modelling
observational
analyses
uncovered
win-win
interaction
between
coexisting
in
terms
cooling.
That
is,
integration
water
bodies
can
reinforce
mutual
potential
provide
greater
than
stand-alone
spaces.
results
indicated
that
known
influencing
factors
such
as
area,
shape
planting
structure
had
no
impact
riverside
Instead,
width
adjacent
river
reach
degree
contact
with
were
significantly
positively
related
to
surface/air
temperature
be
4.2
°C/3.7
°C
lower
daytime
summer,
3.1
°C/2.7
spring
non-riverside
similar
size.
Urban
inside
could
cause
about
0.99
1.45
more
deduction
land
surface
(LST)
simple
size
respectively.
There
1
°C‑2.9
deductions
air
when
it
is
accompanied
by
More
specifically,
complete
coverage
vegetated
areas
within
30
m
buffer
both
riverbanks
result
3.37
higher
LST
compared
vegetation
riverbank
study
extend
understanding
blue-green
implications
for
sustainable
planning.
International Journal of Environmental Research and Public Health,
Год журнала:
2023,
Номер
20(3), С. 2613 - 2613
Опубликована: Фев. 1, 2023
The
cooling
effects
of
blue–green
spaces
on
the
urban
heat
island
effect
are
complex
and
different.
purpose
this
study
is
to
simulate
how
space
changes
with
its
size
shape.
53
green
patches
28
water
bodies
in
Changsha
were
extracted
based
Landsat
images.
A
surface
fitting
model
was
used
quantitatively
reveal
relationship
between
results
show
that
enhanced
increasing
size,
then
would
become
stable
after
a
certain
range
(threshold).
Certain
thresholds
identified
blue
areas
(2.98
ha
3.15
ha,
respectively)
distance,
(4.84
4.92
magnitude.
In
addition,
an
area
9.08
landscape
shape
index
(LSI)
2.97
could
achieve
better
distance
(413.46
m);
29.4
LSI
1.75
magnitude
(5.17
°C).
These
findings
provide
useful
guidelines
for
planning
improving
livability
other
regions
terrain
climate
conditions
similar
Changsha.
