Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7687 - 7687
Published: Sept. 4, 2024
To
investigate
the
impact
of
landscape
characteristics
on
microclimate
and
thermal
comfort
in
summer
urban
parks
Xinjiang,
we
focused
Mingzhu
Park
Shihezi
City.
We
collected
microclimatic
data
through
field
measurements
analyzed
correlations
among
these
factors,
physiological
equivalent
temperature
(PET),
features.
ENVI-met
was
utilized
for
simulations
to
assess
optimization
effects.
The
results
revealed
that
different
features
significantly
influenced
comfort.
Trees
grass
effectively
lowered
temperature,
increased
humidity,
reduced
wind
speeds,
blocked
solar
radiation,
decreased
PET.
Water
bodies
exposed
sunlight
without
shade
have
a
low
reflectivity,
leading
significant
increases.
While
evaporation
can
lower
surrounding
temperatures,
water
surface
remains
higher
than
shaded
areas,
raising
temperatures
there.
speed,
mean
radiant
show
correlations.
correlation
ranking
is
as
follows:
(Tmrt)
>
air
(Ta)
relative
humidity
(RH)
speed
(Va).
After
increasing
tree
cover
designing
dispersed
bodies,
average
PET
by
up
0.67
°C,
with
park
experiencing
largest
reduction
1.86
°C.
eastern
built-up
area
0.35
western
area,
only
0.13
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(2), P. 134 - 134
Published: Jan. 27, 2025
Urban
heat
island
(UHI)
effects,
intensified
by
urbanization
and
environmental
changes,
are
critical
challenges
to
urban
thermal
comfort
sustainability.
This
study
investigates
the
combined
role
of
water
bodies
vegetation
in
mitigating
microclimatic
effects
within
a
campus
area,
focusing
on
their
cooling
impacts
interactions.
Using
field
measurements
numerical
simulations,
research
evaluates
wind
flow
modifications
induced
greenery
surrounding
environment.
The
findings
demonstrate
that
both
provide
significant
effect,
reducing
temperatures
0–6
K
downstream
regions,
with
impact
being
more
pronounced
closer
blue–green
spaces.
Furthermore,
application
offers
enhanced
effects;
however,
influence
environment
exhibits
nonlinear
relationship.
These
results
underscore
importance
strategic
infrastructure
planning
UHI
optimizing
environments.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3026 - 3026
Published: March 28, 2025
Ribbon
waterfront
parks
in
hot
summer
and
cold
winter
regions
play
a
crucial
role
microclimate
regulation
thermal
comfort
enhancement
due
to
the
combined
effects
of
water
bodies
vegetation.
This
study
focuses
on
ribbon
Hefei.
investigates
influence
park
environmental
factors
(e.g.,
plant
community
characteristics,
spatial
configuration
bodies,
plaza
layouts)
environment
through
field
measurements
ENVI-met
numerical
simulations.
Based
studies
literature
review,
five
were
selected
as
test
variables:
body
direction
(S),
tree
planting
density
arrangement
(A),
square
distribution
form
(B),
location
(C),
pavement
material
(D).
Using
orthogonal
testing,
64
different
scenarios
under
four
distinct
orientations
designed
simulated
using
(Version
5.6.1),
followed
by
quantitative
analysis
simulation
results.
The
findings
reveal
that
interaction
between
orientation
prevailing
wind
significantly
influences
cooling
efficiency
both
upwind
downwind
regions.
In
addition,
Range
Analysis
(RA),
variance
(ANOVA),
order
magnitude
effect
each
experimental
factor
Universal
Thermal
Climate
Index
(UTCI)
can
be
derived:
(A)
>
(D)
(C)
forms
squares
(B).
Finally,
this
suggests
various
factor-setting
schemes
for
are
tailored
microclimatic
requirements.
It
also
provides
design
recommendations
improve
based
bodies.
Furthermore,
it
offers
specific
references
foundations
planning,
designing,
optimising,
renovating
similar
scales.
Land,
Journal Year:
2023,
Volume and Issue:
12(11), P. 2075 - 2075
Published: Nov. 18, 2023
Salary
satisfaction
(SS)
perception
by
employees
can
be
affected
psychological
impacts
from
the
workplace
setting.
Landscape
attributes
of
green
and
blue
spaces
(GBS)
may
account
for
this
effect,
but
relevant
evidence
is
rarely
verified.
In
study,
a
total
56
Chinese
industrial
parks
were
chosen
as
study
sites,
where
employee
was
assessed
rating
facial
expression
scores
(happy,
sad,
neutral
emotions)
in
photos
obtained
social
networks
(Sina
Weibo
Douyin).
The
structures
GBSs
characterized
remotely
largeness
size,
height,
visible
ratio
view
(GVI)
2
km
radius
buffer
area
around
workplace.
Street
images
Baidu
map
selected
estimating
GVI
using
pre-trained
deep
learning
model
botanical
experts
evaluating
woody
plants’
diversity.
results
indicated
that
SS
estimated
with
maximum
likelihood
analysis
against
happy
score,
which
ranged
within
8.37–18.38
(average:
13.30
±
2.32)
thousand
RMB.
A
regression
lowered
larger
space
agreement
reduced
score.
Further,
sad
highland
areas
tall
plants
strong
depression
on
score
associated
greater
plant
Interesting
designed
apparent
size
should
considered
construction
near
to
prevent
perceptional
decline
towards
SS,
while
irrelevant
relationship.
Similarly,
diversity
planned
control
its
negative
impact
positive
emotions,
beyond
comfortable
level
perhaps
further
decreasing
SS.
