Forests,
Journal Year:
2024,
Volume and Issue:
15(3), P. 518 - 518
Published: March 11, 2024
Greenery
impacts
the
urban
thermal
environment,
but
benefits
of
three-dimensional
green
volume
space
have
not
been
effectively
evaluated.
In
this
paper,
we
analyzed
impact
3D
greenery
on
heat
island
intensity
and
comfort
in
residential
areas
from
perspective
plot
ratio
(GPR).
We
selected
a
typical
area,
set
up
simulation
models,
then
effect
different
GPR
values
outdoor
environment
using
validated
ENVI-MET
simulation.
The
results
showed
that
increasing
can
reduce
improve
comfort.
When
reaches
0.5
1.5,
level
building
overhead
north–south
street
decreases
“very
strong
stress”
to
“strong
stress”.
2.5,
east–west
courtyard
is
reduced
“hot”.
higher
than
0.5,
by
one
level,
strong”
“strong”.
3.5,
all
four
types
spaces
“moderate”
intensity.
Increased
exacerbates
some
extent
worsens
due
nocturnal
insulating
plants.
Based
results,
study
proposes
bottom-line
control
index
mitigation
improvement.
This
paper
points
out
improving
human
which
great
practical
value
for
developing
“increasing
quantity”
“improving
quality”.
Earth system science data,
Journal Year:
2023,
Volume and Issue:
15(1), P. 359 - 381
Published: Jan. 20, 2023
Abstract.
Human-perceived
thermal
comfort
(known
as
human-perceived
temperature)
measures
the
combined
effects
of
multiple
meteorological
factors
(e.g.,
temperature,
humidity,
and
wind
speed)
can
be
aggravated
under
influences
global
warming
local
human
activities.
With
most
rapid
urbanization
largest
population,
China
is
being
severely
threatened
by
aggravating
stress.
However,
variations
stress
in
at
a
fine
scale
have
not
been
fully
understood.
This
gap
mainly
due
to
lack
high-resolution
gridded
dataset
indices.
Here,
we
generated
first
high
spatial
resolution
(1
km)
monthly
index
collection
(HiTIC-Monthly)
over
during
2003–2020.
In
this
collection,
12
commonly
used
indices
were
Light
Gradient
Boosting
Machine
(LightGBM)
learning
algorithm
from
multi-source
data,
including
land
surface
topography,
cover,
population
density,
impervious
fraction.
Their
accuracies
comprehensively
assessed
based
on
observations
2419
weather
stations
across
mainland
China.
The
results
show
that
our
has
desirable
accuracies,
with
mean
R2,
root
square
error,
absolute
error
0.996,
0.693
∘C,
0.512
respectively,
averaging
Moreover,
data
exhibit
agreements
temporal
dimensions,
demonstrating
broad
applicability
dataset.
A
comparison
two
existing
datasets
also
suggests
describe
more
explicit
distribution
information,
showing
great
potentials
fine-scale
intra-urban)
studies.
Further
investigation
reveals
nearly
all
increasing
trends
parts
increase
especially
significant
North
China,
Southwest
Tibetan
Plateau,
Northwest
spring
summer.
HiTIC-Monthly
publicly
available
Zenodo
https://doi.org/10.5281/zenodo.6895533
(Zhang
et
al.,
2022a).
