Environmental Research Letters,
Journal Year:
2024,
Volume and Issue:
19(7), P. 073003 - 073003
Published: June 3, 2024
Abstract
Flood
risk
in
urban
areas
will
increase
massively
under
future
urbanization
and
climate
change.
Urban
flood
models
have
been
increasingly
applied
to
assess
impacts
of
on
risk.
For
this
purpose,
different
methodological
approaches
developed
order
reflect
the
complexity
dynamics
growth.
To
state-of-the
art
application
scenarios,
we
conducted
a
structured
literature
review
systematically
analyzed
93
publications
with
141
case
studies.
Our
shows
that
hydrological
hydrodynamic
are
most
commonly
used
simulate
Future
is
mostly
considered
as
sprawl
through
adjustment
land
use
maps
roughness
parameters.
A
low
number
additionally
consider
transitions
structures
densification
processes
their
scenarios.
High-resolution
physically
based
advanced
well
suited
for
describing
quantifiable
data-rich
contexts.
In
regions
limited
data,
argue
reducing
level
detail
increasing
patterns
should
be
improve
quality
projections
urbanization.
also
call
development
integrative
model
such
causal
network
greater
explanatory
power
enable
processing
qualitative
data.
Hydrology,
Journal Year:
2023,
Volume and Issue:
10(7), P. 141 - 141
Published: June 30, 2023
As
one
of
nature’s
most
destructive
calamities,
floods
cause
fatalities,
property
destruction,
and
infrastructure
damage,
affecting
millions
people
worldwide.
Due
to
its
ability
accurately
anticipate
successfully
mitigate
the
effects
floods,
flood
modeling
is
an
important
approach
in
control.
This
study
provides
a
thorough
summary
modeling’s
current
condition,
problems,
probable
future
directions.
The
includes
models
based
on
hydrologic,
hydraulic,
numerical,
rainfall–runoff,
remote
sensing
GIS,
artificial
intelligence
machine
learning,
multiple-criteria
decision
analysis.
Additionally,
it
covers
heuristic
metaheuristic
techniques
employed
evaluation
examines
advantages
disadvantages
various
models,
evaluates
how
well
they
are
able
predict
course
impacts
floods.
constraints
data,
unpredictable
nature
model,
complexity
model
some
difficulties
that
must
overcome.
In
study’s
conclusion,
prospects
for
development
advancement
field
discussed,
including
use
advanced
technologies
integrated
models.
To
improve
risk
management
lessen
society,
report
emphasizes
necessity
ongoing
research
modeling.
Journal of Flood Risk Management,
Journal Year:
2022,
Volume and Issue:
16(1)
Published: Oct. 19, 2022
Abstract
Flood
hazard
assessment
is
a
fundamental
step
in
flood
risk
mapping.
Quantitative
requires
hydrodynamic
modelling
of
the
flooding
process
order
to
calculate
spatial
distribution
suitable
indicators
representative
intensity
and
frequency,
hence
its
potential
result
harm.
are
usually
defined
by
combining
relevant
parameters,
mainly
depth
flow
velocity,
but
also
arrival
time,
duration,
sediment
or
contamination
load,
so
forth.
A
classification
commonly
introduced
assign
level
areas
potentially
subject
flooding.
This
article
presents
systematic
review
quantitative
methods
proposed
scientific
literature
prescribed
government
authorities
assess
associated
with
natural
anthropic
listed
compared
specifying
their
underlying
approach
(heuristic,
conceptual,
empirical),
exposed
element
which
they
were
designed
for
(people,
buildings,
vehicles,
etc.),
fields
application
(river
overflow,
dam‐break,
levee
breach,
debris
flow).
Perspectives
future
challenges
analysis
discussed.
aims
help
modellers
practitioners
select
most
method
case
study
interest.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102123 - 102123
Published: April 9, 2024
Climate
change
is
a
serious
global
issue
causing
more
extreme
weather
patterns,
resulting
in
frequent
and
severe
events
like
urban
flooding.
This
review
explores
the
connection
between
climate
flooding,
offering
statistical,
scientific,
advanced
perspectives.
Analyses
of
precipitation
patterns
show
clear
changes,
establishing
strong
link
heightened
intensity
rainfall
events.
Hydrological
modeling
case
studies
provide
compelling
scientific
evidence
attributing
flooding
to
climate-induced
changes.
Urban
infrastructure,
including
transportation
networks
critical
facilities,
increasingly
vulnerable,
worsening
impact
on
people's
lives
businesses.
Examining
adaptation
strategies,
highlights
need
for
resilient
planning
integration
green
infrastructure.
Additionally,
it
delves
into
role
technologies,
such
as
artificial
intelligence,
remote
sensing,
predictive
modeling,
improving
flood
prediction,
monitoring,
management.
The
socio-economic
implications
are
discussed,
emphasizing
unequal
vulnerability
importance
inclusive
policies.
In
conclusion,
stresses
urgency
addressing
through
holistic
analysis
statistical
trends,
evidence,
infrastructure
vulnerabilities,
adaptive
measures.
technologies
comprehensive
understanding
essential
developing
effective,
strategies.
serves
valuable
resource,
insights
policymakers,
researchers,
practitioners
striving
climate-resilient
futures
amid
escalating
impacts.
Water Resources Research,
Journal Year:
2023,
Volume and Issue:
59(10)
Published: Oct. 1, 2023
Abstract
In
our
era,
the
rapid
increase
of
parallel
programming
coupled
with
high‐performance
computing
(HPC)
facilities
allows
for
use
two‐dimensional
shallow
water
equation
(2D‐SWE)
algorithms
simulating
floods
at
“hydrological”
catchment
scale,
rather
than
just
“hydraulic”
fluvial
scale.
This
approach
paves
way
development
new
operational
systems
focused
on
impact‐based
flash‐floods
nowcasting,
wherein
hydrodynamic
simulations
directly
model
spatial
and
temporal
variability
measured
or
predicted
rainfall
impacts
even
a
street
Specifically,
main
goal
this
research
is
to
make
step
move
toward
implementation
an
effective
flash
flood
nowcasting
system
in
which
timely
accurate
impact
warnings
are
provided
by
including
weather
radar
products
HPC
2D‐SWEs
modelling
framework
able
integrate
watershed
hydrology,
flow
hydrodynamics,
river
urban
flooding
one
model.
The
timing,
location,
intensity
street‐level
evolution
some
key
elements
risk
(people,
vehicles,
infrastructures)
also
discussed
considering
both
calibration
issues
role
played
resolution.
All
these
analyzed
having
as
starting
point
event
hit
Mandra
town
(Athens,
Greece)
15
November
2017,
highlighting
feasibility
accuracy
overall
providing
insights
field.
Environmental Challenges,
Journal Year:
2022,
Volume and Issue:
9, P. 100629 - 100629
Published: Oct. 4, 2022
Floods
have
a
terrible
impact
on
people's
lives
and
property
all
around
the
world.
In
this
study,
we
evaluated
modeling
capabilities
of
two
Machine
Learning
(ML)
approaches
such
as
Naive
Bayes
Tree
(NBT)
(NB)
four
Multi-Criteria
Decision-Making
(MCDM)
analysis
techniques
MABAC
(multi-attributive
border
approximation
area
comparison),
TOPSIS
(Technique
for
Order
Preference
by
Similarity
to
Ideal
Solution),
VIKOR
(Vise
Kriterijumska
Optimizacijaik
Ompromisno
Resenje),
SAW
(Simple
Additive
Weighting)
were
applied
in
Abela-Abaya
floodplain
Ethiopia.
Sixteen
flood
influencing
factors
elevation,
land
use/cover
(LULC),
soil,
aspect,
geomorphology,
normalized
difference
vegetation
index
(NDVI),
rainfall,
distance
from
river
(DR..),
topographic
wetness
(TWI),
sediment
transport
(STI),
stream
power
(SPI),
geology,
curvature,
flow
accumulation
(FA),
slope
direction
(FD)
used
input
parameters.
Area
Under
Receiver
Operating
Characteristic
Curve
was
assess
validate
models'
predictive
(AUC).
The
NB
model
performed
best
(AUC
=
0.92),
indicating
that
it
is
viable
strategy
determining
flood-prone
locations
order
properly
plan
control
hazards.
Face
face
interactive
sessions
conducted
with
160
respondents
find
coordinated
between
issues
community's
apprehension
danger
analyze
socioeconomic
risk.
findings
revealed
respondents'
socio-demographic
traits,
experience,
awareness,
prevention
responsibility,
government
confidence
building
cohesively
related
their
opinion
danger.
estimated
damage
households
farmland
$6249
$5326
respectively
2016
flood.
compilation
study
susceptibility
mapping
risk
seeks
enhance
human
perceptions
minimize
enhancing
communication
about
inspiring
people
areas
take
measures
mitigating
damage.
Water,
Journal Year:
2024,
Volume and Issue:
16(2), P. 356 - 356
Published: Jan. 21, 2024
Flooding
is
a
natural
disaster
with
extensive
impacts.
Desert
regions
face
altered
flooding
patterns
owing
to
climate
change,
water
scarcity,
regulations,
and
rising
demands.
This
study
assessed
predicted
flash
flood
hazards
by
calculating
discharge
volume,
peak
flow,
depth,
velocity
using
the
Hydrologic
Engineering
Centre-River
Analysis
System
Modelling
(HEC-HMS
HEC-RAS)
software.
We
employed
meteorological
morphological
data
analyses,
incorporating
soil
conservation
service
(SCS)
curve
number
method
for
precipitation
losses
SCS-Hydrograph
runoff
transformation.
The
model
was
applied
two
drainage
basins
(An-Nawayah
Al-Rashrash)
in
southeastern
Cairo,
Egypt,
which
recently
encountered
several
destructive
floods.
revealed
that
25-,
50-,
100-year
storms
produced
volumes
of
2461.8
×
103,
4299.6
5204.5
103
m3
An-Nawayah
6212
8129.4
10,330.6
Al-Rashrash,
respectively.
Flood
risk
levels,
categorised
as
high
(35.6%),
extreme
(21.9%),
medium
(21.12%)
were
low-
very-low-hazard
areas.
highlighted
areas
closer
Nile
River
mouth
faced
greater
impacts
from
torrential
rain.
Our
findings
demonstrate
effectiveness
these
methods
assessing
predicting
risk.
As
mitigation
measure,
this
recommends
construction
five
10
m
dams
create
storage
lakes.
integrated
approach
can
be
assessment
comparable
regions.
