IOP Conference Series Earth and Environmental Science,
Год журнала:
2024,
Номер
1383(1), С. 012020 - 012020
Опубликована: Авг. 1, 2024
Abstract
The
indicator–based
vulnerability
assessment
of
households
to
typhoons
and
inundation
was
conducted
in
a
ward
Da
Nang
city
after
the
historical
typhoon
Son
Ca
2022.
A
set
18
indicators,
encompassing
three
components
exposure,
sensitivity,
adaptive
capacity,
used
for
assessment.
In–depth
semi–structured
interviews
revealed
that
42%
89%
interviewed
were
affected
by
inundation,
respectively.
study
noted
nearly
87%
experienced
inundation–induced
damage
at
varying
intensities
October
surveyed
results
also
demonstrated
88%
had
least
01
child
under
11
years
old,
22%
1–2
elderly
above
65
old
family,
16%
categorized
as
poor
or
near–poor
households.
73%
resided
single–story
houses
(Type
IV),
5%
living
temporary
accommodations,
8%
lacked
stable
livelihood.
Although
high
percentage
equipped
with
basic
disaster
mitigation
tools
(100%)
respondents
received
warning
information
about
(85%),
only
engaged
prevention
training
propaganda
courses.
capacity
0.58,
0.39,
0.34,
respectively
(0
1
scale).
survey
area
considered
highly
adaptable
proactive
disasters,
present
disasters
0.63
(–1
2
indicate
residents
authorities
are
insufficiently
prepared
manage
effectively.
this
offer
valuable
insights
policymakers
stakeholders
improving
preparedness
effectiveness.
Environmental Processes,
Год журнала:
2024,
Номер
11(1)
Опубликована: Фев. 13, 2024
Abstract
This
paper
introduces
an
integrated
methodology
that
exploits
both
GIS
and
the
Decision-making
Trial
Evaluation
Laboratory
(DEMATEL)
methods
for
assessing
flood
risk
in
Kosynthos
River
basin
northeastern
Greece.
The
study
aims
to
address
challenges
arising
from
data
limitations
provide
decision-makers
with
effective
management
strategies.
integration
of
DEMATEL
is
crucial,
providing
a
robust
framework
considers
interdependencies
among
factors,
particularly
regions
where
conventional
numerical
modeling
faces
difficulties.
preferred
over
other
due
its
proficiency
handling
qualitative
ability
account
interactions
studied
factors.
proposed
method
based
on
two
developed
causality
diagrams.
first
diagram
crucial
hazard
absence
data.
second
offers
multidimensional
analysis,
considering
criteria.
Notably,
referring
vulnerability
can
adapt
local
(or
national)
conditions,
ill-defined
nature
vulnerability.
Given
identifies
highly
hazardous
vulnerable
areas,
not
only
provides
essential
insights
but
also
supports
formulating
approaches
mitigate
impacts
communities
infrastructure.
Validation
includes
sensitivity
analysis
comparison
historical
Effective
weights
derived
enhance
precision
Flood
Hazard
Index
(FHI)
Vulnerability
(FVI).
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Янв. 7, 2025
This
study
quantitatively
assesses
the
resilience
of
urban
transport
system
in
Changchun
under
extreme
climatic
conditions,
focusing
on
impacts
natural
disasters
such
as
snowstorms,
strong
winds
and
low
temperatures
system.
The
vulnerability,
exposure,
emergency
recovery
capacity
were
analyzed
by
constructing
a
comprehensive
assessment
framework
combining
multi-criteria
decision
analysis
(MCDM)
geographic
information
(GIS).
Based
meteorological
traffic
data
City
past
10
years,
key
indicators
network
density,
resource
distribution,
flow,
weather
frequency
selected
this
study.
weights
calculated
improved
hierarchical
method
(AHP)
entropy
weighting
method,
finally
city
was
analyzed.
results
show
that
there
are
significant
spatial
differences
toughness
Changchun,
which
38.6%
areas
have
very
concentrated
fringe
urban–rural
areas;
25.3%
at
medium
level
toughness;
5.4%
high
mainly
located
center
important
hubs.
proposes
enhancement
strategies
for
different
with
special
recommendations
strengthening
infrastructure
development,
optimizing
management
response
areas.
provide
scientific
basis
to
cope
future
climate
challenges,
reference
other
cities
similar
conditions.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 28, 2025
Green
infrastructure
(GI)
has
been
increasingly
associated
with
urban
flood
resilience
as
it
provides
benefits
in
protecting
communities
from
dangers
and
improving
socio-economic
capabilities.
In
order
to
optimize
the
GI
advantages,
is
necessary
engage
strategic
prioritizing
of
implementation
areas,
considering
local
conditions.
Despite
a
growing
interest
connecting
resilience,
there
still
lack
strategic-oriented
planning
models
aimed
at
enhancing
resilience.
This
study
introduced
Flood
Resilience-based
Urban
Infrastructure
Site
Priority
(FRUGISP)
model,
which
employs
GIS-based
multi-criteria
assessment
determine
regions
that
should
be
prioritized
for
systems,
based
on
their
levels.
The
model
was
used
map
priority
areas
Monterrey,
Mexico,
Brussels,
Belgium.
distinct
features,
both
cities
face
challenges.
results
showed
utmost
importance
index
land
availability
implementation.
potential
applied
other
grappling
issues,
providing
guidance
decision-makers
selecting
high-priority
locations
projects.
approach
can
effectively
address
difficulties
posed
by
floods,
ensuring
areas.
Water,
Год журнала:
2024,
Номер
16(3), С. 397 - 397
Опубликована: Янв. 25, 2024
Urban
flooding
poses
a
significant
problem
in
arid
regions,
where
unusual
rainfall
events
can
lead
to
disastrous
consequences.
This
study
used
geographic
information
systems
(GIS)
identify
and
predict
potential
flood
risk
zones
Riyadh
City,
Saudi
Arabia.
A
comprehensive
map
was
created
by
integrating
various
datasets,
including
digital
elevation
models
(DEM),
lithology,
precipitation
patterns,
slope,
drainage
density.
Through
weighted
overlay
analysis,
segmented
into
with
different
levels
of
susceptibility,
ranging
from
low
very
high
risk.
The
area
spans
905
km2.
Of
this
total
area,
32%
is
at
flooding,
while
31%,
24%,
12%
the
are
moderate,
high,
respectively.
findings
were
validated
through
field
surveys
conducted
before
after
recent
events.
These
validation
efforts
corroborated
high-risk
areas
predicted
model,
thereby
ensuring
reliability
for
future
urban
planning
mitigation
strategies.
