Extreme
meteorological
events
and
rapid
urbanization
have
led
to
serious
urban
flooding
problems.
Characterizing
spatial
variations
in
susceptibility
elucidating
its
driving
factors
are
essential
for
preventing
damages
from
pluvial
flooding.
However,
conventional
methods,
limited
by
heterogeneity
the
intricate
mechanisms
of
flooding,
frequently
underestimated
dense
areas.
Therefore,
this
study
proposed
a
comprehensive
cascade
modeling
chain
consisting
XGBoost,
SHapley
Additive
exPlanations
(SHAP),
Partial
Dependence
Plots
(PDP)
combination
with
K-means
recognizing
specific
influence
morphology
patterns
risk
agglomeration
under
different
rainfall
scenarios.
The
XGBoost
model
demonstrated
enhanced
accuracy
robustness
relative
other
three
benchmark
models:
RF,
SVR,
BPDNN.
This
superiority
was
effectively
validated
during
both
training
independent
testing
Shenzhen.
results
indicated
that
3D
characteristics
were
dominant
waterlogging
magnitude,
which
occupied
46.02%
contribution.
Through
PDP
analysis,
multi-staged
trends
highlighted
critical
thresholds
interactions
between
significant
indicators
like
building
congestion
degree
(BCD)
floor
area
ratio
(FAR).
Specifically,
optimal
intervals
BCD
0
0.075
coupled
FAR
values
0.5
1
potential
substantially
mitigate
risks.
These
findings
emphasize
need
strategic
configuration
within
planning
frameworks.
In
terms
spatial-temporal
assessment,
aggregation
effect
high-risk
areas
prone
prolonged
duration
or
high-intensity
scenarios
emerged
old
districts.
approach
present
will
provide
quantitative
insights
into
adaptation
strategies
sustainable
design.
State and Local Government Review,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 4, 2025
Local
governments
tend
to
produce
disjointed
planning
and
implementation
responses
ambiguous
problems.
This
study
adapts
a
cognitive
science
framework
known
as
active
inference
investigate
local
government
resilience
management
processes.
We
contend
that
disconnects
between
reflect
the
inadequacy
of
“knowledge
infrastructure”
systems
which
could
enable
more
adaptive
responses.
Using
mixed-methods
approach
stormwater
in
U.S.
state
Indiana,
we
find
evidence
municipalities
integrate
efforts
relative
experienced
flooding
impacts.
However,
they
are
less
likely
proactively
develop
information
on
longer-term
or
distant
climate
Water,
Journal Year:
2024,
Volume and Issue:
16(13), P. 1825 - 1825
Published: June 27, 2024
In
this
study,
a
multi-stage
planning
framework
was
constructed
by
using
SWMM
simulation
modeling
and
NSGA-II
applied
to
optimize
the
layout
of
integrated
grey–green
infrastructure
(IGGI)
under
land
use
change
climate
scenarios.
The
scenarios
were
determined
based
on
master
plan
study
area,
with
imperviousness
50.7%
62.0%
for
stage
1
2,
respectively.
Rainfall
trends
2
Earth-E3
from
CMIP6
model.
rainfall
in
increased
14.9%
1.
Based
these
two
scenarios,
spatial
configuration
IGGI
layouts
different
degrees
centralization
(DCL)
phases
optimized,
lowest
life
cycle
cost
(LCC)
as
optimization
objective.
results
showed
that
DCL
=
0
had
better
performance
terms
LCC.
LCC
only
66.9%
90.9%.
Tech-R,
than
Furthermore,
average
technological
resilience
(Tech-R)
index
0.8–3.4%
higher
Tech-R
indices
all
layouts,
TOPSIS
used
compare
stages,
it
best
economic
benefits.
will
be
useful
exploring
urban
drainage
systems
sustainable
stormwater
management.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8756 - 8756
Published: Oct. 10, 2024
This
study
conducted
a
pilot
test
and
field
demonstration
to
analyze
the
feasibility
of
using
rainwater
for
road
surface
sprinkling
its
effectiveness
in
reducing
fine
dust
create
sustainable
cities.
The
results
verified
on
surfaces
dust.
Subsequently,
ensure
applicability,
bed
with
different
pavement
sections
was
established
along
Ojeong-ro
Bucheon,
Gyeonggi-do,
circulatory
system
reusing
runoff
installed
tested
acceptable
reduction
effectiveness.
showed
that
section
porous
exhibited
significant
levels,
trend
decreasing
pollutant
levels
due
initial
washing
effect
observed.
However,
water
quality
quantity
analysis
revealed
additional
purification
processes
are
necessary
reuse
sprinkling.
Based
these
findings,
this
suggests
expanding
introducing
systems
essential
installing
utilization
facilities
reduce
urban
areas.
research
provides
critical
foundational
data
can
contribute
environmental
improvement
establish
circulation
system.
Disaster Prevention and Resilience,
Journal Year:
2024,
Volume and Issue:
3(2)
Published: June 18, 2024
Promoting
green
infrastructure
(GN)
as
a
tool
for
reducing
natural
disaster
risk
is
promising,
particularly
in
depopulated
areas
worldwide.
Images
of
GN
being
multifunctional
and
environment
friendly
seem
to
enhance
citizens’
positive
attitudes
toward
it.
While
conventional
types
prevention
infrastructure,
such
concrete
levees,
can
completely
prevent
damage,
relieve
the
effects
hazards.
By
switching
from
GN,
societies
could
reduce
costs
infrastructure.
However,
damage
may
increase
some
areas.
This
study
aimed
better
understand
preference
GN.
It
was
hypothesized
that
those
who
prefer
are
do
not
take
initiative
learn
about
it
citizens
fully
aware
heterogeneous
risks
when
selecting
To
test
hypotheses,
structural
measurement
models,
including
latent
variables,
were
developed,
equation
modeling
performed.
Data
constructing
equations
obtained
using
web
questionnaire
administered
by
professional
research
company
2022
with
1,200
participants
across
Japan.
portal
site
official
statistics
Japan
(e-Stat)
also
used.
The
results
confirm
hypothesis
individuals
favor
proactively
seek
acquire
knowledge
concerning
findings
highlight
importance
considering,
future
policymaking,
possibility
without
face
high
result
its
uninformed
adoption
use.
