International Journal of Building Pathology and Adaptation,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 28, 2025
Purpose
In
view
of
the
increasing
threat
flooding
across
world
and
specifically
vulnerability
Pearl
River
Delta
region
to
these
risks,
this
study
undertakes
a
spatial
temporal
evolution
flood
risk
in
region,
including
an
assessment
urban
resilience.
Design/methodology/approach
By
combining
pressure-state-response
(PSR)
model
nature-economy-society-infrastructure
(NESI)
framework,
resilience
index
system
is
constructed.
The
order
relation
analysis
method,
Criteria
Importance
Through
Intercriteria
Correlation
method
VlseKriterijumska
Optimizacija
Kompromisno
Resenje
evaluation
they
were
then
combined
quantify
reveal
hierarchical
relationships
that
exist
between
key
factors.
Using
ArcGIS
software,
levels
each
city
are
dynamically
tracked
compared
trends
over
three-year
period.
Findings
results
show
annual
precipitation
impervious
areas
factors
impacting
environmental
pressure,
while
sewage
treatment
rate
found
be
response
measure.
cities
Guangzhou
Shenzhen
shown
have
maintained
high
indexes
(FRI),
Zhaoqing
City
was
weakest.
Flood
vary
significantly,
with
central
southern
having
higher
than
those
eastern
western
regions.
Originality/value
This
constructs
new
for
assessing
resilience,
which
suitable
quickly
accurately
short-term
trend
Water,
Год журнала:
2023,
Номер
15(10), С. 1887 - 1887
Опубликована: Май 16, 2023
As
one
of
the
most
frequently
occurring
natural
hazards,
flooding
can
seriously
threaten
global
security
and
sustainable
development
our
communities.
Therefore,
enhancing
resilience
cities
improving
their
ability
to
adapt
have
become
issues
great
significance.
This
study
developed
a
new
comprehensive
evaluation
model
flood
that
includes
an
index
system
from
basis
four
key
dimensions
social
resilience,
economic
ecological
environment
infrastructure
resilience.
Firstly,
interpretative
structural
modelling
(ISM)
was
applied
analyze
affecting
urban
Secondly,
analytic
network
process
(ANP)
then
used
calculate
importance
these
indicators.
Finally,
taking
three
(Zhengzhou,
Xi’an,
Jinan)
in
Yellow
River
Basin
China
as
examples,
Technique
for
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS)
evaluate
current
levels
using
findings
earlier
stages.
The
results
show
rainfall
vulnerability
groups
were
fundamental
factors
Indicators
such
average
annual
rainfall,
fixed-asset
investments,
emergency
rescue
capabilities
also
found
greater
impact
on
In
area,
Xi’an
higher
level
due
having
strong
environmental
These
are
expected
provide
useful
reference
policymakers
stakeholders
involved
management
events.
Land,
Год журнала:
2023,
Номер
12(6), С. 1200 - 1200
Опубликована: Июнь 9, 2023
With
global
climate
change
and
rapid
urbanization,
it
is
critical
to
assess
urban
flood
resilience
(UFR)
within
the
social-economic-natural
complex
ecosystem
in
dealing
with
disasters.
This
research
proposes
a
conceptual
framework
based
on
PSR-SENCE
model
for
evaluating
exploring
trends
over
time,
using
27
cities
Yangtze
River
Delta
(YRD)
of
China
as
case
studies.
For
overall
evaluation,
hybrid
weighting
method,
VIKOR,
sensitivity
analysis
were
used.
During
that
UFR
YRD
region
averaged
moderate
level
an
upward
trend.
distinguishes
between
levels
fluctuation
provinces
cities.
Jiangsu,
Zhejiang,
Anhui
all
displayed
trend
progressive
development;
however,
Shanghai
completely
opposite
pattern,
mainly
because
state
dimension.
81.41%
exhibited
varying,
resistance,
few
demonstrating
inverse
changes.
Regional,
provincial,
city-level
implications
are
proposed
future
enhancement.
The
contributes
better
understanding
under
conditions
provides
significant
insights
policymakers,
planners,
practitioners
other
similar
flood-prone
areas.
Sustainability,
Год журнала:
2024,
Номер
16(12), С. 5076 - 5076
Опубликована: Июнь 14, 2024
Despite
the
increasing
number
of
flood
studies,
interrelationships
between
urban
form
indices
(UFIs)
and
resilience
(FR)
have
received
little
attention
hold
miscellaneous
perspectives.
Consequentially,
this
study
identifies
how
UFIs
at
various
spatial
scales
affect
FR
by
synthesizing
article
findings
proposing
insights
for
future
research.
Scientometric
analysis
has
been
used
to
analyze
gathered
peer-reviewed
articles
from
nine
research
engines
without
time
restrictions.
One
hundred
eighteen
relevant
were
included
thoroughly
investigated
using
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
protocol.
Our
indicate
that
divergent
dialectical
perspectives
about
efficacy
are
due
multiple
disciplines,
methodologies,
different
case
contexts.
The
studies
classified
according
scale
as
macro
(citywide),
meso
(districts),
micro
(block),
multi-scalar
80.5%,
6.8%,
10.2%,
2.4%,
respectively.
Furthermore,
categorized
based
on
type
into
realistic
literature
reviews,
modeling,
hybrid
analysis,
with
74.6%,
7.6%,
14.4%,
3.4%,
At
macroscale,
city
density
distribution
degree
most
significant
effect
FR.
same
time,
mixed
uses,
connectivity,
coverage
ratio,
block
arrangements,
street
characteristics
scales.
Further
trade-offs
commonality
UFIs,
FR,
overall
required
shape
climate-adaptive,
sustainable
communities.
The Science of The Total Environment,
Год журнала:
2024,
Номер
921, С. 171064 - 171064
Опубликована: Фев. 23, 2024
Driven
by
climate
change,
the
frequent
occurrence
of
regional
destructive
floods
poses
a
grave
threat
to
socio-economic
systems
and
ecological
environments.
Previous
flood
risk
studies
have
disregarded
transfer
within
region,
resulting
in
inadequate
assessment
ineffective
disaster
prevention
mitigation
outcomes.
Therefore,
this
study
introduced
"Source-Sink"
theory
into
field
constructing
model.
Flood
was
conducted
Poyang
Lake
Basin,
China,
where
impacts
initial
statuses
on
ecosystem
service
values
were
quantified.
The
results
showed
that
Basin
relatively
low,
with
high
spatial
distribution
characteristics
central-north
areas
but
low
surrounding
areas.
High-risk
zones
mainly
distributed
southwest
Lake.
lower-risk
exhibited
contiguous
surrounded
higher-risk
zones.
Following
completion
transfer,
high-risk
increased
significantly;
there
few
transferred
other
zones,
thereby
lowering
their
risks.
occurs
primarily
low-
medium-risk
being
most
important
growth
targets.
change
evident
area
Lake,
while
Upper
Gan
River
lower
less
sensitive
effect.
Accounting
for
risk,
decreased
8.18
%,
significant
observed
environment
After
value
declined
24.66
%.
This
provides
reference
point
management
sustainable
development
account
transfer.
International Journal of Intelligent Systems,
Год журнала:
2024,
Номер
2024, С. 1 - 20
Опубликована: Фев. 27, 2024
Flood
disasters
occur
worldwide,
and
flood
risk
prediction
is
conducive
to
protecting
human
life
property
safety.
Influenced
by
topographic
changes
rainfall,
the
water
level
fluctuates
randomly
violently
during
flood,
introducing
many
noises
directly
increasing
difficulty
of
prediction.
A
data-driven
forecasting
method
proposed
based
on
data
preprocessing
a
two-layer
BiLSTM-Attention
network
improve
forecast
accuracy.
First,
Variational
Mode
Decomposition
(VMD)
used
decompose
for
reducing
noise
produce
suitable
Intrinsic
Functions
(IMFs);
Then,
an
optimized
attention-based
Bidirectional
Long
Sshort-Term
memory
(BiLSTM-Attention)
constructed
predict
each
IMF.
Finally,
two
optimization
algorithms
are
obtain
parameters
VMD
BiLSTM
intelligently,
self-adaptability.
The
inertia
factor
particle
swarm
improved
then
optimize
five
hyperparameters
BiLSTM.
model
reduces
storage
errors
smaller
training
sets
can
achieve
good
performance.
Three
from
Yangtze
River
in
China
comparative
experiments.
Numerical
results
show
that
peak
height
absolute
error
within
2
cm,
relative
time
arrival
30%.
Compared
with
LSTM,
BiLSTM,
CNN-BiLSTM-attention,
etc.,
root
mean
square
at
least
50%
has
advantages
high-risk
when
exceeds
defense
line
prominently.
