Journal of Water and Climate Change,
Год журнала:
2023,
Номер
14(7), С. 2103 - 2121
Опубликована: Июнь 28, 2023
Abstract
Evapotranspiration
(ET)
is
an
important
process
of
the
regional
hydrothermal
cycle.
However,
it
unclear
how
mitigation
urban
ET
in
thermal
environments
occurs
a
spatial
context.
Landsat
8
satellite
images
from
2014
to
2018
Xuzhou
and
corresponding
meteorological
observations
were
selected,
improved
mono-window
algorithm
(IMW)
RS-PM
model
applied
invert
land
surface
temperature
(LST)
ET,
respectively.
In
addition,
analysis
methods
(a
profile
analysis,
standard
deviation
ellipse
(SDE)
bivariate
Moran's
I)
employed
quantify
simulate
characteristics
effect
on
LST.
The
results
indicated
following:
(1)
There
was
significant
linear
negative
correlation
between
LST,
which
confirms
that
has
LST;
(2)
SDE
overlap
ratios
patches
with
higher
lower
LST
imply
have
impact
distribution
(3)
I
their
mixture
spectral
(LISA)
maps
reveal
landscape
pattern
parches
also
factor
affecting
environmental
temperature.
IntechOpen eBooks,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 10, 2024
Today,
urban
green
space
(UGS)
is
recognized
as
a
nature-based
solution
to
alleviate
heat
in
environments
by
intensifying
hot
surfaces
areas.
This
chapter
aims
provide
comprehensive
understanding
of
the
cooling
effect
UGS,
its
characteristics,
mechanisms,
and
their
implementation
planning
design
combat
warming
concerns.
outline
relevant
contents
three
sections:
(1)
Cooling
effects
UGS:
mechanisms
dimensions,
which
will
be
allocated
explore
diverse
that
contribute
performance
UGS
areas
regarding
physical
spatial
features;
(2)
Quantification
methods
implementations.
section
focus
on
recent
quantitative
implementations
at
an
scale
apply
processes;
(3)
Planning
cities:
greening
challenges
strategies
overview
approaches,
current
recommending
effective
integrated
solutions
improve
efficiency.
Journal of Water and Climate Change,
Год журнала:
2023,
Номер
14(7), С. 2103 - 2121
Опубликована: Июнь 28, 2023
Abstract
Evapotranspiration
(ET)
is
an
important
process
of
the
regional
hydrothermal
cycle.
However,
it
unclear
how
mitigation
urban
ET
in
thermal
environments
occurs
a
spatial
context.
Landsat
8
satellite
images
from
2014
to
2018
Xuzhou
and
corresponding
meteorological
observations
were
selected,
improved
mono-window
algorithm
(IMW)
RS-PM
model
applied
invert
land
surface
temperature
(LST)
ET,
respectively.
In
addition,
analysis
methods
(a
profile
analysis,
standard
deviation
ellipse
(SDE)
bivariate
Moran's
I)
employed
quantify
simulate
characteristics
effect
on
LST.
The
results
indicated
following:
(1)
There
was
significant
linear
negative
correlation
between
LST,
which
confirms
that
has
LST;
(2)
SDE
overlap
ratios
patches
with
higher
lower
LST
imply
have
impact
distribution
(3)
I
their
mixture
spectral
(LISA)
maps
reveal
landscape
pattern
parches
also
factor
affecting
environmental
temperature.
