Environmental Research Letters,
Год журнала:
2022,
Номер
17(4), С. 044041 - 044041
Опубликована: Март 9, 2022
Recent
advances
in
citizen
weather
station
(CWS)
networks,
with
data
accessible
via
crowd-sourcing,
provide
relevant
climatic
information
to
urban
scientists
and
decision
makers.
In
particular,
CWS
can
long-term
measurements
of
heat
valuable
on
spatio-temporal
heterogeneity
related
horizontal
advection.
this
study,
we
make
the
first
compilation
a
quasi-climatologic
dataset
covering
six
years
(2015-2020)
hourly
near-surface
air
temperature
obtained
1560
suitable
domain
south-east
England
Greater
London.
We
investigated
distribution
influences
local
environments
climate,
captured
by
through
scope
Local
Climate
Zones
(LCZ)-a
land-use
land-cover
classification
specifically
designed
for
climate
studies.
further
calculate,
time,
amount
advected
located
London
wider
south
east
region.
find
that
is
average
warmer
about
1.0
∘C-1.5
∘C
than
rest
England.
Characteristics
southern
coastal
are
also
analysis.
average,
advection
(UHA)
contributes
0.22
±
0.96
total
Certain
areas,
mostly
centre
deprived
since
transferred
more
downwind
suburban
areas.
UHA
positively
contribute
up
1.57
∘C,
negatively
down
-1.21
∘C.
Our
results
show
an
important
degree
inter-
intra-LCZ
variability
UHA,
calling
research
future.
Nevertheless,
already
impact
green
areas
reduce
their
cooling
benefit.
Such
outcomes
added
value
when
considering
future
design.
Advances in Atmospheric Sciences,
Год журнала:
2022,
Номер
39(6), С. 819 - 860
Опубликована: Янв. 25, 2022
Urban
environments
lie
at
the
confluence
of
social,
cultural,
and
economic
activities
have
unique
biophysical
characteristics
due
to
continued
infrastructure
development
that
generally
replaces
natural
landscapes
with
built-up
structures.
The
vast
majority
studies
on
urban
perturbation
local
weather
climate
been
centered
heat
island
(UHI)
effect,
referring
higher
temperature
in
cities
compared
their
surroundings.
Besides
UHI
effect
waves,
urbanization
also
impacts
atmospheric
moisture,
wind,
boundary
layer
structure,
cloud
formation,
dispersion
air
pollutants,
precipitation,
storms.
In
this
review
article,
we
first
introduce
datasets
methods
used
studying
areas
through
both
observation
modeling
then
summarize
scientific
insights
impact
various
aspects
regional
extreme
based
more
than
500
studies.
We
highlight
major
research
gaps
challenges
our
understanding
provide
perspective
recommendations
for
future
priorities
directions.城市环境位于社会、文化和经济活动的结合点,城市下垫面具有独特的生物物理特征。在城市化过程中持续的基础设施建设导致自然景观被建筑物替代。在过去很长时间,绝大部分城市影响天气气候的研究和城市热岛效应(城市及上空温度高于周边地区)有关。除了城市热岛效应,城市化也影响大气湿度、风、边界层结构、云的形成、污染物扩散、降水和暴雨。在这篇综述文章中,我们阅览了超过五百篇文献,从观测和模拟两个方面,首先介绍了用于城市化及影响研究的数据资料和方法,总结了城市化影响区域气候和极端天气的各个领域的科学要点。我们也例举了在理解城市化影响方面目前存在的主要问题和挑战,提出了相应的未来研究重点和方向。.
Environment International,
Год журнала:
2021,
Номер
157, С. 106857 - 106857
Опубликована: Сен. 16, 2021
The
surface
urban
heat
island
effect
(SUHI)
that
occurs
during
rapid
urbanization
increases
the
health
risks
associated
with
high
temperatures.
Urban
ecological
land
(UEL)
has
been
shown
to
play
an
important
role
in
improving
stress,
however,
impact
of
UEL
interactions
natural-anthropogenic
environment
on
SUHI
at
agglomeration-scale
is
less
explored.
In
this
study,
Google
Earth
Engine
and
GeoDetector
were
applied
characterize
spatiotemporal
patterns
Guangdong-Hong
Kong-Macao
Greater
Bay
Area
from
2000
2020
by
extracting
major
built-up
areas
quantifying
impacts
its
factors
SUHI.
results
show
evolution
landscape
structure
exhibits
clear
coupling
Specifically,
underwent
a
dispersion
degradation
process
2000–2015
convergence
restoration
2015–2020,
correspondingly
transitioned
intensification
continuity
mitigation
contraction.
showed
notable
reduction,
dominance
richness
patches
explained
average
19.95%
16.03%
SUHI,
respectively.
Moreover,
interaction
between
rate
anthropogenic
release
had
dominant
but
significantly
declined
2015
2020.
With
implementation
projects,
topography
rapidly
increased
gradually
dominated
joint
factors.
A
synthesis
varying
effects
several
dynamic
relationship
development
stages
agglomeration's
regional
system
may
conform
Environmental
Kuznets
Curve.
reduction
strategies
should
therefore
comprehensively
optimize
rational
allocation
structures
natural-human
elements
promote
well-being
residents.
Abstract
Urban
overheating,
driven
by
global
climate
change
and
urban
development,
is
a
major
contemporary
challenge
that
substantially
impacts
livability
sustainability.
Overheating
represents
multifaceted
threat
to
the
well‐being,
performance,
health
of
individuals
as
well
energy
efficiency
economy
cities,
it
influenced
complex
interactions
between
building,
city,
scale
climates.
In
recent
decades,
extensive
discipline‐specific
research
has
characterized
heat
assessed
its
implications
on
human
life,
including
ongoing
efforts
bridge
neighboring
disciplines.
The
horizon
now
encompasses
problems
involving
wide
range
disciplines,
therefore
comprehensive
integrated
assessments
are
needed
address
such
interdisciplinarity.
Here,
our
objective
go
beyond
review
existing
literature
instead
provide
broad
overview
defining
holistic
pathways
for
addressing
life.
We
(a)
detail
characterization
hazards
exposure
across
different
scales
in
various
(b)
identify
individual
sensitivities
overheating
increase
vulnerability
cause
adverse
populations,
(c)
elaborate
adaptive
capacities
cities
can
adopt,
(d)
document
energy,
(e)
discuss
frontiers
theoretical
applied
climatology,
built
environment
design,
governance
toward
reduction
at
scales.
most
critical
challenges
future
application
identified,
targeting
both
gaps
need
greater
integration
assessments.
Abstract
Surface
temperature
is
often
used
to
examine
heat
exposure
in
multi‐city
studies
and
for
informing
urban
mitigation
efforts
due
scarcity
of
air
measurements.
Cities
also
have
lower
relative
humidity,
traditionally
not
accounted
large‐scale
observational
risk
assessments.
Here,
using
crowdsourced
measurements
from
over
40,000
weather
stations
≈600
clusters
Europe,
we
show
the
moderating
effect
this
urbanization‐induced
humidity
reduction
on
outdoor
stress
during
2019
heatwave.
We
demonstrate
that
daytime
differences
index
between
their
surroundings
are
weak,
associations
urban‐rural
difference
with
background
climate,
generally
examined
surface
perspective,
diminished
moisture
feedbacks.
spatial
variability
temperature,
within
these
clusters—relevant
detecting
hotspots
potential
disparities
exposure—and
find
a
poor
proxy
intra‐urban
distribution
daytime.
Finally,
vegetation
shows
much
weaker
(∼1/6th
as
strong)
than
which
has
broad
implications
optimizing
strategies.
These
findings
valid
operational
metrics
shaded
conditions
(apparent
humidex),
thermodynamic
proxies
(wet‐bulb
temperature),
empirical
indices.
Based
evidence,
lack
better
alternatives,
may
be
suitable
accurately
strategies
across
cities,
necessitating
more
urban‐scale
observations
urban‐resolving
models.
The Science of The Total Environment,
Год журнала:
2023,
Номер
905, С. 167306 - 167306
Опубликована: Сен. 22, 2023
Due
to
the
scarcity
of
air
temperature
(Ta)
observations,
urban
heat
studies
often
rely
on
satellite-derived
Land
Surface
Temperature
(LST)
characterise
near-surface
thermal
environment.
However,
there
remains
a
lack
quantitative
understanding
how
LST
differs
from
Ta
within
areas
and
what
are
controlling
factors
their
interaction.
We
use
crowdsourced
measurements
in
Sydney,
Australia,
combined
with
landscape
data,
Local
Climate
Zones
(LCZ),
high-resolution
satellite
imagery,
machine
learning
explore
influence
form
fabric
interaction
between
LST.
Results
show
that
have
distinct
spatiotemporal
characteristics,
relationship
by
season,
ecological
infrastructure,
building
morphology.
found
greater
seasonal
variability
compared
Ta,
along
more
pronounced
intra-urban
spatial
LST,
particularly
warmer
seasons.
also
observed
difference
built
environment
natural
LCZs,
especially
during
warm
days.
Natural
LCZs
(areas
mostly
dense
scattered
trees)
showed
stronger
LST-Ta
relationships
areas.
In
particular,
we
observe
higher
density
(where
vulnerability
is
likely
pronounced)
insignificant
or
negative
LST-
summer.
Our
results
indicate
surface
cover,
distance
ocean,
seasonality
significantly
distribution
hot
cold
spots
for
Ta.
The
does
not
always
overlap
find
relying
solely
as
direct
proxy
inappropriate,
densely
built-up
These
findings
provide
new
perspectives
canopy
temperatures
these
relate
fabric.