Urban Water Journal,
Год журнала:
2025,
Номер
unknown, С. 1 - 12
Опубликована: Янв. 2, 2025
During
heavy
rainfall
events,
stormwater
exceeds
the
drainage
capacity
and
overflows
onto
urban
surface,
causing
flooding
problems.
Risk
resilience
assess
severity
recovery
characteristics
of
damage
from
static
dynamic
perspectives
independently.
This
work
proposes
a
spatial
grid-based
integrated
risk-resilience
assessment
framework
for
to
consider
both
risk
aspects
at
detailed
level.
The
formulates
an
drainage-surface
coupled
model
simulate
inundation
process.
A
classification
method
is
proposed
identify
flood-affected
each
grid,
with
values
considering
socio-economic
step-by-step
dynamics.
According
case
results
discussion,
classifies
all
grids
into
four
types
different
levels,
in
which
7.02%
are
identified
as
worst
type
high
low
resilience.
enables
detailed-level
targeted
management
Remote Sensing,
Год журнала:
2023,
Номер
15(2), С. 430 - 430
Опубликована: Янв. 11, 2023
Ecological
environment
quality
and
resilience
assessment
is
an
important
prerequisite
for
ensuring
the
coordination
stability
of
socio-economic
development
eco-environment
protection.
Remote
sensing
technology
has
provided
new
approaches
quantitatively
evaluating
regional
ecological
rapidly,
accurately,
objectively.
Taking
middle
lower
reaches
Yangtze
River
Economic
Belt
(YREBML)
as
example,
to
assess
quality,
this
study
calculated
remote
index
(RSEI)
based
on
Google
Earth
Engine
using
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
data
with
a
spatial
resolution
500
m
during
2000–2020.
An
evaluation
its
pattern
RSEI
2000–2020
was
then
constructed.
The
constructed
from
two
dimensions,
including
sensitivity
adaptability
RSEI.
Finally,
identified
key
factors
that
affect
residence
structural
equation
model.
results
showed
overall
at
moderate
good
levels
in
YREBML
2000–2020,
accounting
more
than
85%
total
area.
Its
characteristics
higher
YREB,
south
north.
decreasing
trend
54.36%
region
improving
45.64%
declining.
Areas
declining
were
concentrated
Anhui,
while
increasing
observed
Zhejiang.
In
addition,
characterized
by
high
north
east,
low
west.
High
areas
accounted
40.48%
YREBML,
mainly
contributed
Jiangxi
Hunan
provinces.
driving
analysis
indicated
economic
development,
natural
disaster
risk,
environmental
pollution
would
further
urban
systems.
This
provides
scientific
effective
support
monitoring
governance.
International Journal of Disaster Risk Reduction,
Год журнала:
2024,
Номер
108, С. 104519 - 104519
Опубликована: Апрель 30, 2024
With
global
climate
change
and
continuous
urbanization
exacerbating
floods,
urban
flood
resilience
(UFR)
has
become
a
key
to
cope
with
floods.
However,
few
studies
target
frameworks
of
UFR
assessment
at
the
agglomeration
scale
over
longer
time
span.
This
study,
taking
Yangtze
River
Delta
as
case
developed
an
evaluation
framework
detail
building
final
index
system
UFR,
analyze
UFR's
driving
factors
spatiotemporal
features
based
on
SSA-PP-KL-TOPSIS
(projection
pursuit
sparrow
search
algorithm-Kullback-Leibler-technique
for
order
preference
by
similarity
ideal
solution)
model.
From
perspectives
comparing
numerical
values
spatial
distribution
results,
indicators
method
proposed
in
this
article
perform
better.
The
results
showed
that
displayed
overall
growth
trend
significant
heterogeneities.
economic,
social,
infrastructure
similar
trend,
while
environmental
demonstrated
decreasing
trend.
Environmental
weak
link
improving
resilience.
Higher
levels
were
concentrated
central
metropolis,
provincial
capitals,
industrial
cities.
findings
could
be
use
researchers
practitioners,
presented
would
reference
other
flood-stricken
areas.
