Computing in Civil Engineering,
Год журнала:
2024,
Номер
unknown, С. 1055 - 1062
Опубликована: Янв. 25, 2024
Urban
clusters
are
areas
with
high
building
and
infrastructure
concentration
limited
green
natural
landscapes.
Since
buildings,
bridges,
roads,
other
absorb
heat
from
the
sun
re-emit
it
to
atmosphere,
urban
becoming
"islands"
that
have
higher
temperature
compared
rural
surrounding
areas.
This
phenomenon
is
known
as
island
(UHI)
effect,
which
associated
global
warming
generated
increased
human
activities.
While
previous
studies
examined
potential
factors
could
affect
heat-related
challenges,
little-to-no
research
prioritized
these
using
a
data-driven
approach.
To
address
this
knowledge
gap,
paper
determined
most
critical
contribute
UHIs
feature
selection-
machine
learning-based
methods.
First,
dataset
was
collected
developed
for
all
census
tracts
in
state
of
New
Jersey
relation
14
impact
UHI
effect.
These
considered
independent
variables,
while
average
day
intensity
each
tract
dependent
variable.
Second,
engineering
algorithms
were
implemented
extract
or
identify
prominent
factors.
Third,
ranked
prioritized.
The
results
prioritization
ranking
different
based
on
multiple
so
robust
conclusions
be
obtained.
study
serves
useful
reference
decision-makers
involved
addressing
challenges
resulting
by
offering
better
understanding
important
need
controlled
managed.
Urban Climate,
Год журнала:
2023,
Номер
49, С. 101437 - 101437
Опубликована: Март 3, 2023
Investigating
diurnal
and
seasonal
variations
in
a
multi-domain
approach
still
needs
to
be
exploited
for
people's
wellbeing
urban
coastal
areas.
This
study,
therefore,
presents
an
innovative
method
assess
the
effects
of
water
bodies
accounting
hyperlocal
climate
conditions,
continuously
mapped
via
mobile/wearable
environmental
monitoring.
was
performed
wearable
sensing
during
winter
summer,
analyzing
eight
canyons
with
different
morphologies
anthropogenic
activities.
The
body's
effect
assessed
by
comparing
air
temperature
along
these
canyons,
while
heat
stress
evaluated
through
Physiological
Equivalent
Temperature
(PET).
In
winter,
sea
not
explicitly
identified.
Conversely,
cooling
evident
summer.
Despite
statistically
significant
correlations
between
distance
from
sea,
no
association
sky
view
factor
(SVF)
detected.
Additionally,
particulate
matter
(PM)
concentration
analysis
did
allow
identifying
specific
actions
cannot
behave
as
effective
proxy.
However,
trends
summer
may
represent
clear
cheap-to-detect
outcome
complexity
every
canyon,
which
includes
varied
features
local
overheating
forcing.
highlights
importance
microclimate
monitoring
strategic
differences
detected,
waves
instance.
Heliyon,
Год журнала:
2024,
Номер
10(3), С. e25041 - e25041
Опубликована: Янв. 24, 2024
Mitigating
heat
is
a
vital
ecosystem
service
of
trees,
particularly
with
climate
change.
Land
surface
temperature
measures
captured
at
single
time
day
(in
the
morning)
dominate
urban
island
literature.
Less
known
about
how
local
tree
canopy
and
impervious
regulate
air
throughout
day,
and/or
across
many
days
varied
weather
conditions,
including
cloud
cover.
We
use
bike-mounted
sensors
in
New
Haven,
Connecticut,
USA,
from
2019
to
2021
generalized
additive
mixed
models
156
rides
estimate
daily
variation
cooling
benefits
associated
cover,
warming
cover
90
m
buffers
surrounding
bike
observations.
Cooling
inferred
by
subtracting
bicycle-observed
reference
station.
The
were
strongest
midday
(11:00-14:00,
-1.62
°C),
afternoon
(14:00-17:00,
-1.19
morning
(8:00-11:00,
-1.15
°C)
on
clear
days.
effect
was
comparatively
smaller
cloudy
mornings
-0.92
°C
afternoons
-0.51
°C.
Warming
surfaces
most
pronounced
evening
(17:00-20:00,
1.11
irrespective
clouds,
during
nights
(20:00-23:00)
1.03
95
%
CI
[1.03,
1.04].
Among
hottest
observed
(top
25th
percentile
station
maxima),
lower
temperatures
-1.78
[-1.78,
-1.78],
-1.17
[-1.19,
-1.15],
-1.12
[-1.12,
-1.11].
add
broader
spectrum
conditions
explicitly
greater
temporal
resolution
measuring
bike-based
research.
Future
mobile
sampling
campaigns
may
broaden
spatial
extent
more
environmental
variation,
representing
an
opportunity
for
public
science
engagement.
Atmosphere,
Год журнала:
2024,
Номер
15(2), С. 183 - 183
Опубликована: Янв. 31, 2024
In
order
to
better
understand
the
thermal
comfort
of
urban
parks
and
provide
empirical
reference
for
green
space
optimization
design,
5
days’
field
monitoring
was
conducted
in
People’s
Park
Urumqi,
an
oasis
city
arid
region
China.
Combined
with
GIS
spatial
interpolation,
correlation
analysis,
regression
temporal
distribution
(HI
WBGT)
discussed.
The
results
showed
following.
(1)
morning
generally
higher
than
that
afternoon,
near
water
body
lush
vegetation
park
higher,
while
on
road
lower,
especially
Hotan
Street
Binhenan
Road,
which
were
far
away
from
park.
Therefore,
it
is
recommended
nearby
residents
exercise
outdoors
as
much
possible
park,
keep
its
vicinity
try
sit
quietly
or
walk
slowly,
avoiding
less
comfortable
areas,
such
Road
Road.
(2)
Due
dense
lack
infrastructure
construction,
area
does
not
have
conditions
crowd
gathering.
improve
relevant
areas.
(3)
Through
analysis
significant
influence
explanatory
variables
explained
variables,
shows
ventilation
effect
insufficient.
appropriately
increase
number
trees,
bodies,
wind
channels
promote
so
These
findings
a
theoretical
basis
technical
optimizing
establishing
healthier
more
living
environment
residents.
