Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports
The Science of The Total Environment,
Год журнала:
2025,
Номер
968, С. 178908 - 178908
Опубликована: Фев. 22, 2025
Язык: Английский
Urban Flood Risk Analysis Using the SWAGU-Coupled Model and a Cloud-Enhanced Fuzzy Comprehensive Evaluation Method
Environmental Modelling & Software,
Год журнала:
2025,
Номер
unknown, С. 106461 - 106461
Опубликована: Апрель 1, 2025
Язык: Английский
Improving flood hazard susceptibility assessment by integrating hydrodynamic modeling with remote sensing and ensemble machine learning
Natural Hazards,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 11, 2025
Abstract
Floods
are
natural
disasters
with
significant
economic
and
infrastructural
impacts.
Assessing
flood
susceptibility
in
mountainous
urban
regions
is
particularly
challenging
due
to
the
complicated
interaction
which
structures
terrain
affect
behavior.
This
study
employs
two
ensemble
machine
learning
algorithms,
Extreme
Gradient
Boosting
(XGBoost)
Random
Forest
(RF),
develop
maps
for
Hunza-Nagar
region,
has
been
experiencing
frequent
flooding
past
three
decades.
An
unsteady
flow
simulation
carried
out
HEC-RAS
utilizing
a
100-year
return
period
hydrograph
as
an
input
boundary
condition,
output
of
provided
spatial
inundation
extents
necessary
developing
inventory.
Ten
explanatory
factors,
including
climatic,
geological,
geomorphological
features
namely
elevation,
slope,
curvature,
topographic
wetness
index
(TWI),
normalized
difference
vegetation
(NDVI),
land
use
cover
(LULC),
rainfall,
lithology,
distance
roads
rivers
considered
mapping.
For
inventory,
random
sampling
technique
adopted
create
repository
non-flood
points,
incorporating
ten
geo-environmental
conditioning
factors.
The
models’
accuracy
assessed
using
area
under
curve
(AUC)
receiver
operating
characteristics
(ROC).
prediction
rate
AUC
values
0.912
RF
0.893
XGBoost,
also
demonstrating
superior
performance
accuracy,
precision,
recall,
F1-score,
kappa
evaluation
metrics.
Consequently,
model
selected
represent
map
area.
resulting
will
assist
national
disaster
management
infrastructure
development
authorities
identifying
high
susceptible
zones
carrying
early
mitigation
actions
future
floods.
Язык: Английский
Vulnerability Assessment of the Prefabricated Building Supply Chain Based on Set Pair Analysis
Buildings,
Год журнала:
2025,
Номер
15(5), С. 722 - 722
Опубликована: Фев. 24, 2025
In
recent
years,
the
disruption
of
prefabricated
building
supply
chain
has
led
to
increased
construction
period
delays
and
cost
overruns,
limiting
development
popularization
buildings
in
China.
Therefore,
this
study
established
a
vulnerability
evaluation
index
system
for
using
driving
force–pressure–state–impact–response
(DPSIR)
framework.
We
employed
intuitionistic
fuzzy
analytic
hierarchy
process
(IFAHP),
projection
pursuit
(PP)
model,
variable
weight
theory
determine
indicator
weights.
The
IFAHP
was
utilized
reduce
subjectivity
assignment
obtain
degree
membership,
non-membership,
hesitation
experts
evaluating
importance
indicators.
PP
model
used
objective
weights
based
on
structure
data,
applied
integrate
subjective
according
management
needs.
Set
Pair
Analysis
(SPA)
establish
chain,
treating
data
levels
as
set
pair.
By
analyzing
identity,
difference,
opposition
pair,
we
assessed
predicted
chain.
Taking
Taohua
Shantytown
project
Nanchang
case
study,
results
showed
that
primary
with
greatest
influence
force,
0.2692,
followed
by
secondary
indices
market
demand
policy
support,
0.0753
0.0719,
respectively.
project’s
average
rating
moderate
(Level
III),
it
an
improvement
trend.
During
implementation,
total
overrun
controlled
within
5%
budget,
delay
did
not
exceed
7%
plan,
rate
production
safety
accidents
below
industry
average.
demonstrated
assessment
method
SPA
comprehensively
objectively
reflected
It
is
suggested
improve
transparency
flexibility
strengthen
daily
enhance
collaboration
partners
vulnerability.
Язык: Английский
Ecosystem services and their drivers under different watershed- management patterns in the western Chinese Loess Plateau
Ecological Indicators,
Год журнала:
2025,
Номер
172, С. 113321 - 113321
Опубликована: Март 1, 2025
Язык: Английский
The Environmental Risk of Heterogeneous Oxidation is Unneglectable: Time-Resolved Assessments beyond Typical Intermediate Investigation
Water Research,
Год журнала:
2025,
Номер
unknown, С. 123572 - 123572
Опубликована: Март 1, 2025
Язык: Английский
Exploring how economic level drives urban flood risk
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Май 25, 2025
In
recent
years,
measures
proposed
to
address
urban
flooding
caused
by
extreme
rainfall
often
demand
substantial
investment,
restricting
their
broad
implementation.
This
study
quantitatively
assessed
the
inundation
situations
of
138
capital
cities
under
both
normal
and
conditions.
Using
machine
learning
techniques,
we
found
that
grey
infrastructure-closely
commensurate
with
a
city's
economic
development-dominates
flood
reduction
during
events.
However,
precipitation,
as
intensity
rises,
marginal
effectiveness
infrastructure
declines
markedly.
contrast,
green
topography-less
development-play
increasingly
critical
roles
in
mitigating
flooding.
These
findings
suggest
development
has
limited
impact
on
Rationally
utilizing
topography
enhancing
spaces
provides
cost-effective
nature-based
solution,
which
is
particularly
important
for
planning
low-
middle-income
countries
undergoing
rapid
urbanization.
Язык: Английский
A novel framework for assessing pluvial flooding resilience based on system dynamics approach at urban scale
Journal of Cleaner Production,
Год журнала:
2025,
Номер
unknown, С. 145852 - 145852
Опубликована: Май 1, 2025
Язык: Английский
Theoretical and Methodological Foundations of Uncertainty Modeling in Real Estate Markets
Acta Scientiarum Polonorum Administratio Locorum,
Год журнала:
2024,
Номер
23(3), С. 407 - 423
Опубликована: Окт. 30, 2024
Motivation:
The
need
to
improve
the
accuracy
and
reliability
of
market
valuation
risk
assessment
in
real
estate
markets,
especially
under
conditions
uncertainty.Aim:
To
integrate
theoretical
foundations
methodological
approaches
for
modeling
aleatoric
epistemic
uncertainties
markets
using
credal
networks
confidence
boxes
(c-boxes).Approach:
This
paper
presents
a
comprehensive
framework
uncertainty
focusing
on
application
boxes.
It
does
not
include
empirical
validation
or
practical
case
studies,
instead
providing
detailed
conceptual
discussion.Results:
proposed
method
demonstrates
significant
improvements
quantification
analysis
terms,
offering
valuable
insights
investors,
urban
planners,
policymakers.
However,
is
suggested
future
research
confirm
applicability.
Язык: Английский