International Journal of Integrated Engineering,
Journal Year:
2023,
Volume and Issue:
15(03)
Published: July 31, 2023
This
wireless
monitoring
system
is
developed
to
alert
and
warn
the
resident
regarding
upcoming
flood.
Due
floods
that
occur
every
year,
especially
during
monsoon
season,
loss
damage
done
by
this
disaster
are
uncontrollable.
When
water
level
rise-up
above
safe
ground,
it
may
hit
communication
substation,
as
well
power
tower.
In
most
cases,
many
residents
not
with
their
surroundings
because
there
no
can
remind
them
issues
will
arise.
By
preparing
themselves
for
nature
disaster,
could
endanger
destroy
property.
Thus,
project
focus
on
a
real-time
river
flood
prediction
purposes
which
utilize
three
devices
connected
together
in
centralized
system.
having
system,
people
be
notified
about
current
situation
of
near
via
Internet
Things
(IoT)
such
Blynk
application.
ESP32
ESP32-Cam
used
main
microcontroller
control
The
sensor
detect
at
TF
Mini
Lidar
ultrasonic
detection
rain
gauge.
ESP32-cam
monitor
surrounding
area
river.
combination
these
systems
predict
occurrence.
Regional Sustainability,
Journal Year:
2023,
Volume and Issue:
4(3), P. 332 - 348
Published: Sept. 1, 2023
With
accelerated
urbanization
and
climate
change,
urban
flooding
is
becoming
more
serious.
Flood
risk
assessment
an
important
task
for
flood
management,
so
it
crucial
to
map
the
spatial
temporal
distribution
of
risk.
This
paper
proposed
method
that
takes
into
account
influences
hazard,
vulnerability,
exposure,
by
constructing
a
multi-index
framework
based
on
Geographic
Information
System
(GIS).
To
determine
weight
values
index
factors,
we
used
analytic
hierarchy
process
(AHP).
Also,
plotted
maps
in
Zhengzhou
City
2000,
2005,
2010,
2015,
2020.
The
analysis
results
showed
that,
proportion
very
high
zone
was
1.362%,
5.270%,
4.936%,
12.151%,
24.236%
2020,
respectively.
It
observed
area
zones
trend
increasing
expanding,
which
Dengfeng
City,
Xinzheng
Xinmi
Zhongmu
County
had
fastest
growth
rate
most
obvious
increase.
has
been
expanding
with
development
urbanization.
adapted
will
have
good
adaptability
other
research
areas,
its
can
provide
scientific
reference
management
personnel.
In
future,
accuracy
be
further
improved
promoting
basic
data
reasonably
determining
factors.
zoning
better
reflect
basis
early
warning
prevention
drainage.
Hydrology,
Journal Year:
2023,
Volume and Issue:
10(4), P. 91 - 91
Published: April 12, 2023
Floods
are
lethal
and
destructive
natural
hazards.
The
Mediterranean,
including
Greece,
has
recently
experienced
many
flood
events
(e.g.,
Medicanes
Zorbas
Ianos),
while
climate
change
results
in
more
frequent
intense
events.
Accurate
mapping
river
areas
is
crucial
for
risk
assessment,
planning
mitigation
measures,
protecting
existing
infrastructure,
sustainable
planning.
accuracy
of
affected
by
all
simplifying
assumptions
concerning
the
conceptual
numerical
model
implemented
quality
geospatial
data
used
(Digital
Terrain
Models—DTMs).
current
research
investigates
modelling
sensitivity
against
using
following
DTM
resolutions
a
mountainous
sub-basin
Thessaly’s
Water
District
(Greece):
(a)
open
5
m
(b)
2
from
Hellenic
Cadastre
(HC)
(c)
0.05
an
Unmanned
Aerial
Vehicle
(UAV)
topographical
mission.
RAS-Mapper
HEC-RAS
1D
(steady
state)
hydraulic
simulation
regarding
1000-year
return
period.
Results
include
maps
cross
section-specific
flow
characteristics.
They
analysed
graphical
map-based
empirical
fashion,
whereas
statistical
analysis
based
on
correlation
matrix
sophisticated
Machine
Learning
interpretation
nonlinear
relationships
between
input–output
variables
support
particularise
conclusions
quantifiable
manner.
International Journal of Disaster Risk Reduction,
Journal Year:
2023,
Volume and Issue:
97, P. 104052 - 104052
Published: Oct. 1, 2023
Social
vulnerability
assessment
to
flood
hazard
depends
upon
multiple
factors
that
can
vary
across
the
different
indicators.
However,
there
is
limited
knowledge
on
specific
indicators
suitable
for
assessing
social
Sarawak.
This
study
systematically
analyzed
important
components
of
and
mapped
them
by
weight
12
divisions.
Indices
focusing
two
dimensions
(physical
exposure
resistances)
were
identified
based
literature.
Data
these
indices
then
collected
through
relevant
government
agencies.
Components
assessed
significantly
contributing
Principal
Component
Analysis
(PCA).
An
entropy
method
was
used
Vulnerability
estimated
Iyengar
Sudarshan
methodology
data
produce
a
map
proposed
Index
(SVI).
The
results
indicated
divisions
Kuching,
Miri,
Sibu
Bintulu
more
vulnerable
(score
over
than
0.81)
those
in
other
Greater
mainly
due
high
extreme
events
less
adaptive
capacity
resistance,
which
affect
agricultural
production
negatively,
combination
with
population
density
communities.
clearly
shows
areas
are
susceptible,
indicating
government's
adaptation
measures
should
depending
available
resources,
urgency,
means
survival
needed
achieve
resilience
against
climate
change.
IOP Conference Series Earth and Environmental Science,
Journal Year:
2025,
Volume and Issue:
1438(1), P. 012007 - 012007
Published: Jan. 1, 2025
Abstract
Flooding
in
New
Capital
City
construction
site
East
Kalimantan
is
one
of
the
most
frequent
and
severe
disasters.
The
frequency
impact
floods
are
so
that
it
very
important
to
carry
out
research
on
flood
disaster
risk
mapping
community
adaptation
strategies
it.
There
two
objectives;
(1)
develop
a
map,
(2)
knowing
new
capital
city.
In
order
ascertain
both
objectives,
interviews
were
conducted
conjunction
with
administration
questionnaires
members
population
all
areas
Kalimantan,
which
serves
as
host
region
for
development
project.
sample
was
selected
using
stratified
random
sampling
method.
employs
quantitative
descriptive
analysis
approach,
utilising
statistical
tools
examine
strategies.
While
satellite
imagery
used
map
remote
sensing
techniques
analyse
risk.
Flood
show
Province
has
high
floods.
Meanwhile,
deal
including
physical
such
drainage
adaptation,
water
absorption
improvement,
etc
non-physical
education
socialization,
etc.
results
existing
can
be
by
relevant
officials
creating
programs
policies
like
evacuation
routes
minimise
negative
impacts
minimised.
International Journal of Building Pathology and Adaptation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 4, 2025
Purpose
Flooding
is
China’s
most
frequent
and
catastrophic
natural
hazard,
causing
extensive
damage.
The
aim
of
this
study
to
develop
a
comprehensive
assessment
urban
flood
risk
in
the
Hubei
Province
China,
focusing
on
following
three
issues:
(1)
What
are
factors
that
cause
floods?
(2)
To
what
extent
do
these
affect
management?
(3)
How
build
an
effective
system
can
be
used
reduce
risk?
Design/methodology/approach
This
combines
expert
opinion
evidence
from
literature
identify
indicators
across
four
dimensions:
disaster
risk,
susceptibility,
exposure
prevention
mitigation.
Criteria
Importance
Through
Intercriteria
Correlation
(CRITIC)
Grey
Relational
Analysis
(RA)-based
Technique
for
Order
Preference
by
Similarity
Ideal
Solution
(TOPSIS)
decision-making
approach
were
applied
calculate
weighting
model
risk.
Then,
ArcGIS
software
visualizes
levels
spatial
distribution
cities
Province;
uncertainty
analysis
verified
method
accuracy.
Findings
results
show
there
significant
differences
level
Province,
with
such
as
Tianmen,
Qianjiang,
Xiantao
Ezhou
being
at
high
while
Shiyan,
Xiangyang,
Shennongjia,
Yichang,
Wuhan
Huanggang
lower
Originality/value
innovative
combining
CRITIC-GRA-TOPSIS
reduces
presence
subjective
bias
found
many
other
frameworks.
Regional
data
extraction
enhance
result
reliability,
supporting
long-term
planning.
Overall,
methodological
developed
provides
advanced,
highly
efficient
visualization
deepens
understanding
mechanisms
more
broadly
supports
development
resilient
cities.
Frontiers in Water,
Journal Year:
2025,
Volume and Issue:
7
Published: April 8, 2025
Flooding
in
riverine
basins
remains
a
recurring
disaster,
often
leading
to
extensive
property
destruction
and,
extreme
scenarios,
loss
of
lives.
In
recent
years,
the
Shouchang
River
Basin
Zhejiang
Province,
China,
has
experienced
increasing
flood
risks,
driven
by
combination
weather
events,
urban
expansion,
and
alterations
natural
land
use.
Managing
these
events
is
becoming
increasingly
crucial
minimize
impact
on
vulnerable
communities
critical
infrastructure.
This
study
develops
an
integrated
framework
for
forecasting
hydrodynamic
floodplain
mapping
using
HEC-HMS
HEC-RAS
6.5
over
10
km
stretch
upstream
Town.
The
hydrological
model
(HEC-HMS)
simulates
rainfall-runoff
processes
across
five
sub-basins,
observed
rainfall
streamflow
data
from
four
gauging
stations,
capture
key
flow
dynamics.
Based
local
plans
Town,
total
28
villages
are
situated
within
exposure
areas
sub-basin
5.
Out
only
22
rescue
centers
found
be
unaffected
thus
effective
sheltering
victims.
Four
centers,
Yongjiaqiao,
Henanli,
Ximen,
Datanbian
would
need
relocation
higher
grounds,
including
adding
new
resettlement
sites
modifying
transfer
routes.
Simulations
show
that,
while
defenses
protect
most
regions
under
flows
1,200
m3/s,
levees
along
Shili
Shouchngjiang
Ecology
Leisure
Greenway
breach
once
this
threshold
surpassed.
highlights
review
existing
evacuation
analysis
system,
given
that
some
could
exposed
associated
risks.
Journal of Water Management Modeling,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
A
rainfall-runoff
model
using
Hydrologic
Engineering
Center–Hydrologic
Modeling
System
(HEC-HMS)
was
carried
out
for
the
Kharkai
River
of
Subarnarekha
Basin,
India
to
determine
magnitude
runoff
from
a
known
quantity
rainfall
and
terrain
inundation.
In
present
study,
calibration
validation,
events
October
1–20,
2017
July
12–31,
2019
were
used.
process
calibration,
computed
discharge
found
be
1,674
cumecs
against
observed
1,820
cumecs,
with
Nash-Sutcliffe
efficiency
91.78%.
Whereas
in
3,266
3,589
91.02%.
Furthermore,
generate
various
inundation
maps
River,
an
SRTM-DEM
30
m
x
resolution,
resolution
DEM
used
simulation
process.
The
results
study
showed
that
5,
20,
50,
100,
500-year
return
period
floods
determined
Gumbel’s
method
are
3,647.791
m3/s,
5,797.717
7,160.188
8,181.168
10,540.5
respectively,
corresponding
areas
20.98
km2,
33.65
39.89
44.07
56.65
respectively.
ABSTRACT
Satellite-based
precipitation
products
can
be
an
important
alternative
for
developing
IDF
equations
in
ungauged
regions,
search
more
flood-resilient
hydraulic
systems.
This
study
evaluated
estimates
from
the
product
CHIRPS
Southern
Bahia
Mesoregion.
The
statistical
metrics
used
were
Percent
Bias
(PBIAS),
Root
Mean
Square
Error
(RMSE),
Absolute
(MAE),
and
Nash-Sutcliffe
Efficiency
coefficient
(NSE).
results
indicate
that
does
not
perform
satisfactorily
its
original
state,
but
it
provide
reasonable
if
data
bias
is
corrected.
Based
on
a
linear
regression
model,
correction
method
was
proposed,
which
applied
areas
of
studied
region,
showing
better
performance
than
provided
by
software
Pluvio
2.1
(RMSE
45.27%
lower;
MAE
46.31%
lower).