Natural Hazards,
Journal Year:
2024,
Volume and Issue:
120(11), P. 10087 - 10117
Published: April 17, 2024
Abstract
One
of
the
most
perilous
natural
hazards
is
flooding
resulting
from
dam
failure,
which
can
devastate
downstream
infrastructure
and
lead
to
significant
human
casualties.
In
recent
years,
frequency
flash
floods
in
northern
part
Nicosia,
Cyprus,
has
increased.
This
area
faces
increased
risk
as
it
lies
Kanlikoy
Dam,
an
aging
earth-fill
constructed
over
70
years
ago.
this
study,
we
aim
assess
potential
flood
stemming
three
distinct
failure
scenarios:
piping,
100-year
rainfall,
probable
maximum
precipitation
(PMP).
To
achieve
this,
HEC-HMS
hydrologic
model
findings
were
integrated
into
2D
HEC-RAS
hydraulic
models
simulate
hydrographs
generate
inundation
hazard
maps.
For
each
scenario,
Monte
Carlo
simulations
using
McBreach
software
produced
four
corresponding
exceedance
probabilities
90%,
50%,
10%,
1%.
The
results
indicate
that
all
breach
scenarios
pose
a
threat
agricultural
residential
areas,
leading
destruction
numerous
buildings,
roads,
infrastructures.
Particularly,
Scenario
3,
includes
PMP,
was
identified
destructive,
prevailing
levels
H5
H6
inundated
areas.
proportion
areas
these
high
varied
between
52.8%
57.4%,
with
number
vulnerable
structures
increasing
248
321
for
90%
1%,
respectively.
Additionally,
flooded
buildings
ranged
842
935,
26
34
km
roads
found
be
scenario.
These
revealed
need
authorities
develop
comprehensive
evacuation
plans
establish
efficient
warning
system
mitigate
risks
associated
failure.
International Journal of Disaster Risk Science,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Feb. 9, 2023
Abstract
Hazard
maps
are
essential
tools
to
aid
decision
makers
in
land-use
planning,
sustainable
infrastructure
development,
and
emergency
preparedness.
Despite
the
availability
of
historical
data,
there
has
been
no
attempt
produce
hazard
for
Kuwait.
In
cooperation
with
World
Bank,
this
study
investigated
natural
anthropogenic
hazards
that
affect
The
objective
was
assess
face
Kuwait
map
most
concern.
depicting
spatial
distribution
hazard-prone
areas
discussed
article.
assessment
were
generated
using
multiple
datasets
techniques,
including
meteorological
satellite
imagery,
GIS.
profiling
identified
a
total
25
hazards,
which
five
“priority”
explored
detail:
(1)
surface
water
flooding;
(2)
dust
storms
sand
encroachment;
(3)
drought;
(4)
air
pollution;
(5)
oil
spills.
results
can
targeting
developed
valuable
response
mitigation.
Ocean & Coastal Management,
Journal Year:
2023,
Volume and Issue:
249, P. 106980 - 106980
Published: Dec. 26, 2023
Coastal
river
deltas
face
high
risks
from
multiple
natural
hazards
due
to
the
combined
effects
of
human
activities,
processes,
and
climate
change.
Vulnerability
risk
assessments
are
essential
for
reducing
managing
and,
in
process,
contribute
sustainable
development.
Despite
adopting
a
social-ecological
multi-hazard
perspective,
previous
failed
achieve
balanced
consideration
both
social
ecological
sub-systems.
To
address
this
gap,
we
used
an
integrated
assessment
framework
which
incorporates
role
ecosystem
services
(ES)
as
core
component.
A
modular
indicator
library
ES
indicators
relevant
coastal
was
characterize
multi-risks
Pearl
Yangtze
River
deltas.
Results
indicate
higher
level
Delta,
with
key
drivers
vulnerability
varying
scales.
Visualizing
hazard-prone
highly
vulnerable
areas
facilitates
implementation
targeted
management
measures
policies
reduce
disaster
hazards.
Ecosystem
have
been
identified
important
factors
profiles,
their
inclusion
reduction
strategies
ensures
that
can
be
put
place
allow
ecosystems
provide
sustainably
communities.
Climate
hazards
are
escalating
in
frequency
and
severity,
with
flooding
as
a
major
threat.
The
limitations
of
the
existing
analytical
necessitate
computational
tools
for
flood
risk
management
necessitates
shift
towards
more
data-driven
strategies
informed
by
AI-driven
methods.
This
paper
explores
forefront
focusing
on
integrating
artificial
intelligence
(AI),
specifically
machine
learning
(ML)
deep
(DL)
technologies.
By
reviewing
hundreds
relevant
studies,
we
present
comprehensive
analysis
AI
applications
examining
types,
models,
spatial
scales,
input
data,
practical
applications,
to
provide
holistic
view
current
landscape
future
potential
AI-enhanced
management.
We
highlight
extent
which
solutions
can
complement
enhance
reliability
predictions
inform
mitigation
response
strategies.
also
address
prevailing
challenges,
including
data
bias
need
explainable
proposes
pathways
research
fully
harness
AI's
mitigating
risks.
underscores
promising
improving
adaptive
management,
is
crucial
safeguarding
communities
infrastructures
against
challenges
posed
floods.
Hydrology,
Journal Year:
2025,
Volume and Issue:
12(1), P. 17 - 17
Published: Jan. 15, 2025
With
the
increasing
frequency
of
floods
in
recent
decades,
particularly
West
Africa,
many
regions
have
faced
unusual
and
recurrent
flooding
events.
Communities
flood-prone
areas
experience
heightened
insecurity,
loss
property,
and,
some
cases,
serious
injuries
or
fatalities.
Consequently,
flood
risk
assessment
mitigation
become
essential.
This
comparative
study
between
Niamey
Lokoja
employs
Geographic
Information
Systems
(GIS)
Analytical
Hierarchy
Process
(AHP)
to
delineate
susceptibility,
vulnerability,
zones.
The
utilized
a
comprehensive
range
thematic
layers,
with
weight
percentages
assigned
each
parameter
as
follows:
29%
for
elevation,
24%
slope,
15%
Topographic
Wetness
Index
(TWI),
9%
drainage
density,
distance
from
rivers,
4%
both
precipitation
Normalized
Difference
Water
(NDWI),
2%
Vegetation
(NDVI)
soil
type.
To
validate
these
weightings,
consistency
ratio
was
calculated,
ensuring
it
remained
below
10%.
findings
reveal
that
32%
area
is
at
flooding,
compared
approximately
Lokoja.
results
highlight
very
high
potential,
near
Niger
River,
this
potential
decreasing
elevation
increases.
Given
current
prevalence
extreme
weather
events
crucial
employ
effective
tools
mitigate
their
adverse
impacts.
research
will
assist
decision-makers
quantifying
spatial
vulnerability
developing
strategies
region.
