Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Сен. 10, 2024
Over
the
past
two
decades,
joint
manifestation
of
global
warming
and
rapid
urbanization
has
significantly
increased
occurrence
heatwaves
formation
urban
heat
islands
in
temperate
cities.
Consequently,
this
synergy
amplified
frequency
duration
periods
with
tropical
nights
(TNs)
these
areas.
While
occurrences
such
extreme
events
demonstrate
irregular
nonlinear
annual
patterns,
they
consistently
manifest
a
discernible
rising
decadal
trend
local
or
regional
climatic
data.
In
regions
situated
amidst
hilly
mountainous
landscapes,
changing
wind
directions—often
associated
uphill
downhill
thermal
flows—profoundly
impact
spread
dispersion
heat-related
pollution,
creating
unique
natural
ventilation
patterns.
Using
Lausanne/Pully
area
Switzerland
as
examples
lakeshore
cities,
study
explores
influence
patterns
on
nonlinearity
recorded
data
within
an
environment.
This
integrates
mesoscale
numerical
weather
prediction
model
(COSMO-1),
microscale
Computational
Fluid
Dynamics
(CFD)
model,
field
observations,
variational
mode
decomposition
technique,
statistical
analysis
to
investigate
how
speed
direction
critically
long-term
trends
events,
specifically
focusing
TNs
The
results
strongly
indicate
direct
correlation
between
specific
moderate
These
are
exclusively
captured
by
CFD
unlike
which
neglects
both
morphology
complex
terrains.
temporal
spatial
variability
observations
at
fixed
measurement
stations
suggests
that
caution
should
be
exercised
when
relying
limited
points
monitor
quantify
climate
trends,
particularly
cities
located
Energy and Built Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 1, 2024
Extreme
heat
due
to
changing
climate
poses
a
new
challenge
for
temperate
climates.
The
is
further
aggravated
by
inadequate
research,
policy,
or
preparedness
effectively
respond
and
recover
from
its
impacts.
While
urban
morphology
plays
crucial
role
in
mitigating
heat,
it
has
received
limited
attention
planning,
highlighting
the
need
exploration,
particularly
regions.
To
illustrate
potential
mitigations,
we
use
example
of
coastal
city
Cardiff.
establish
interrelations
between
island
patterns,
explored
spatiotemporal
variations
land
surface
temperature
(LST),
normalised
difference
vegetation
index
(NDVI),
(SUHI)
local
zone
(LCZ)
classification
Results
showed
significant
variation
SUHI
LCZ
zones.
Both
LST
NDVI
were
found
vary
significantly
across
zones
demonstrating
their
association
with
form
locality.
For
built-up
areas,
more
compact
built-environment
smaller
cover
larger
building
density
was
2.0°C
warmer
than
open
when
comparing
mean
summer
LSTs.
On
average,
natural
classes
exhibit
that
8.0°C
lower
6.0°C
built-environment.
Consequently,
high-density,
LCZs
have
greater
effect
compared
classes.
Therefore,
cities
will
benefit
incorporating
an
sufficient
greenery
spaces.
These
findings
help
determine
optimal
climates
develop
mitigation
strategies
while
designing,
improving
existing
areas.
In
addition,
map
applied
this
study
Cardiff
enable
international
comparison
testing
proven
change
adaptation
techniques
similar
AIMS energy,
Год журнала:
2025,
Номер
13(1), С. 35 - 85
Опубликована: Янв. 1, 2025
<p>Concomitant
with
the
expeditious
growth
of
construction
industry,
challenge
building
energy
consumption
has
become
increasingly
pronounced.
A
multitude
factors
influence
operations,
thereby
underscoring
paramount
importance
monitoring
and
predicting
such
consumption.
The
advent
big
data
engendered
a
diversification
in
methodologies
employed
to
predict
Against
backdrop
influencing
operation
consumption,
we
reviewed
advancements
research
pertaining
supervision
prediction
deliberated
on
more
energy-efficient
low-carbon
strategies
for
buildings
within
dual-carbon
context,
synthesized
relevant
progress
across
four
dimensions:
contemporary
state
supervision,
determinants
optimization
Building
upon
investigation
three
predictive
were
examined:
(ⅰ)
Physical
methods,
(ⅱ)
data-driven
(ⅲ)
mixed
methods.
An
analysis
accuracy
these
revealed
that
methods
exhibited
superior
precision
actual
Furthermore,
predicated
this
foundation
identified
determinants,
also
explored
prediction.
Through
an
in-depth
examination
prediction,
distilled
pertinent
accurate
forecasting
offering
insights
guidance
pursuit
conservation
emission
reduction.</p>
