Water,
Journal Year:
2022,
Volume and Issue:
14(16), P. 2513 - 2513
Published: Aug. 15, 2022
An
urban
flood
simulation
model
based
on
TELEMAC-2D
was
constructed,
and
the
inundation
data
of
two
measured
rainstorms
(7
June
2018
16
September
2018)
were
selected
to
validate
model.
Flooding
processes
simulated
under
12
designed
rainfall
scenarios
with
return
periods
20,
50
100
years
peak
coefficients
0.2,
0.4,
0.6
0.8,
respectively.
The
hazard-vulnerability
(H-V)
method
used
for
risk
assessment.
hazard
factors
included
depth,
velocity,
elevation
slope.
vulnerability
land
use
type,
population
density
property
distribution.
analytic
hierarchy
process
(AHP)
calculate
weight
values
each
indicator
factor,
ArcGIS
software
overlay
calculation.
results
analysis
show
that
as
coefficient
factor
increases,
area
zone
increases
varying
degrees.
larger
more
serious
flooding.
As
period
effect
change
in
highest
diminishes.
is
largest
within
Luohu
District
(LHD),
accounting
46.38%,
60.92%
45.54%
total
area,
Futian
(FTD)
but
its
proportion
has
a
decreasing
trend,
Longgang
(LGD)
an
increasing
trend.
zoning
map
can
better
reflect
distribution
basin
provide
scientific
basis
early
warning
prevention
drainage
Shenzhen
River
basin.
Engineering Applications of Artificial Intelligence,
Journal Year:
2024,
Volume and Issue:
132, P. 107932 - 107932
Published: Jan. 31, 2024
In
the
aftermath
of
natural
disasters,
efficient
waste
collection
becomes
a
crucial
challenge,
owing
to
dynamic
and
unpredictable
nature
generation,
coupled
with
resource
constraints.
This
paper
presents
an
innovative
hybrid
methodology
that
synergizes
Long
Short-Term
Memory
(LSTM)
machine
learning
Differential
Evolution
(DE)
optimisation
augment
efforts
post-disaster.
The
approach
leverages
real-time
data
forecast
generation
high
accuracy,
facilitating
development
adaptable
strategies.
Our
is
designed
dynamically
update
plans
in
response
evolving
scenarios,
ensuring
timely
effective
decision-making.
Field
tests
conducted
earthquake-prone
city
have
demonstrated
superior
performance
this
method
managing
under
fluctuating
conditions.
Moreover,
in-depth
sensitivity
analysis
helps
identifying
key
areas
for
improvement.
Significantly
outperforming
traditional
models,
offers
substantial
time
savings
equips
disaster
teams
robust
tool
addressing
challenges
collection.
Water,
Journal Year:
2022,
Volume and Issue:
14(13), P. 2098 - 2098
Published: June 30, 2022
Flood
disasters
have
occurred
frequently
in
recent
years,
but
there
is
no
consensus
on
the
mechanism
and
influencing
factors.
Taking
upper
reaches
of
Weihe
River
Basin
as
a
case
Western
China,
soil
water
assessment
tool
(SWAT)
model
was
established
to
quantitatively
simulate
impact
land
use
climate
change
runoff
changes,
while
4
extreme
land-use
scenarios
24
temperature
precipitation
assumptions
were
proposed
response
changes.
The
SWAT
simulation
results
showed
that
sensitivity
parameters
affecting
CANMX,
CN2,
SOL_K,
CH_N2,
SOL_AWC.
correlation
index
R2
efficiency
coefficient
ENS
both
range
0.75–0.78,
relative
error
PS
between
simulated
measured
below
10%,
suggesting
good
applicability
this
study
area.
Using
improved
peak
(flood)
value
generally
smaller
than
value,
absolute
less
6%.
expansion
wasteland
increased
by
over
90%
average,
cultivated
8%
woodland
grassland
surface
6%
average.
When
decreased
25%
22%,
smallest
obtained
simulation.
Accordingly,
when
maximum
annual
obtained.
By
decomposing
contribution
rate
human
activities
runoff,
it
reduction
greater
change.
This
can
provide
scientific
reference
for
prediction
future
floods.
Journal of Computational Design and Engineering,
Journal Year:
2022,
Volume and Issue:
9(3), P. 1135 - 1156
Published: May 4, 2022
Abstract
Construction
material
delivery
to
post-disaster
reconstruction
projects
is
challenging
because
of
the
resource
and
time
limitations
that
follow
a
large-scale
disaster.
There
compelling
evidence
inadequate
planning
jeopardises
success
large
number
projects.
Thus,
current
study
proposes
an
integrated
approach
facilitate
procurement
construction
materials
following
The
proposed
clustered
location
using
differential
evolution
(DE)-K-prototypes,
new
partitional
clustering
algorithm
based
on
DE
K-prototypes,
method.
Then,
permanent
matrix
prioritises
cluster
points
route
reliability-affecting
factors.
model’s
objectives
are
minimise
total
travel
time,
maximise
reliability
route,
weighted
undelivered
In
case
distribution
through
land
vehicles,
possibility
breakdowns
in
vehicle
considered,
allowing
for
determination
breakdown
under
various
scenarios
minimisation
As
result
uncertain
character
disaster,
demands
fuzzy,
Jimenez’s
method
used
handle
it.
Due
complexity
problem,
two
algorithms
proposed,
multi-objective
evolutionary
decomposition
(MOEA/D)
non-dominated
sorting
genetic
algorithm-II
(NSGA-II).
results
confirm
MOEA/D
has
higher
accuracy
while
NSGA-II
shorter
computational
time.
By
providing
theoretical
perspectives
disaster
recovery
strategies
sector,
this
contributes
growing
body
knowledge
about
sector.
findings
can
be
employed
develop
system
disaster-prone
countries.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(7), P. 4088 - 4088
Published: March 30, 2022
Floods
have
been
reported
to
be
an
important
disaster
in
any
country
and
Malaysia
has
faced
similar
disasters
the
past,
resulting
disturbance
daily
community
routine
issues,
financial
losses,
infrastructure
damage
including
railway
tracks,
bridges,
roads,
vehicles,
properties,
worst
is
loss
of
lives.
The
Sarawak
region
also
witnesses
yearly
rainy
seasons.
purpose
this
paper
explore
possible
challenges
manage
flood
identify
solutions
floods.
In
research,
secondary
data
was
used
for
qualitative
assessment.
newspaper
articles
were
collected
from
year
2015
until
2019.
Targeted
interviews
conducted
with
experts
working
management
schemes
rank
validate
most
factors
after
content
analysis
past
news
reports.
It
concluded
that
poor
drainage
systems,
rapid
development,
heavy
rainfall,
lack
public
awareness,
coordination
executing
cycle
among
agencies
are
key
challenges.
Thus,
it
recommended
systems
should
upgraded
case
study
area.
Proper
planned
forecasting
strengthened.
An
effective
early
warning
system
designed
activate
plans
a
proper
awareness
campaign
initiated
educate
train
local
deal
such
disasters.
suggested
assure
maintain
collaboration
different
during
last
phase,
proposes
framework
future
management.
will
assist
stakeholders
make
informed
decisions
save
human
lives
substantial
losses.
can
terrain
countries.
Infrastructures,
Journal Year:
2022,
Volume and Issue:
7(11), P. 153 - 153
Published: Nov. 11, 2022
The
urban
drainage
system
plays
an
important
role
in
the
infrastructure
resilience
discussion.
Its
functional
failures
can
trigger
cascading
effects
on
other
systems
and
critical
infrastructures.
main
aim
of
this
work
is
to
investigate
quantify
flood
resilience,
offering
integrated
methodological
approach.
In
process,
flooding
consequences
were
quantified
by
hydrodynamic
simulations,
using
a
case
study
exploratory
research
method.
A
set
indicators
was
proposed
map
generated
floods
consequent
quantification
resilience.
Two
simulation
scenarios
validate
assessment
framework
work.
first
scenario
represented
current
situation
showed
negative
city
resulting
from
disordered
growth.
second
considered
improvement
behavior,
considering
sustainable
approach
supported
concept
blue-green
with
open
spaces
system.
comprehensive
over
time
conducted
analyzing
evolution
System
Integrity
Index
both
scenarios.
results
that
water
dynamics
play
ordering
land
use
preserving
efficiently
respond
developing
threats,
dealing
earlier
development
moment,
proving
importance
as
preliminary
structuring
driver
for
supporting
planning,
ordered
according
environmental
constraints
defined
dynamics.
PLOS Climate,
Journal Year:
2024,
Volume and Issue:
3(4), P. e0000331 - e0000331
Published: April 4, 2024
Infrastructure
systems
are
particularly
vulnerable
to
climate
hazards,
such
as
flooding,
wildfires,
cyclones
and
temperature
fluctuations.
Responding
these
threats
in
a
proportionate
targeted
way
requires
quantitative
analysis
of
risks,
which
underpins
infrastructure
resilience
adaptation
strategies.
The
aim
this
paper
is
review
the
recent
developments
risk
for
key
sectors,
including
water
wastewater,
telecommunications,
health
education,
transport
(seaports,
airports,
road,
rail
inland
waterways),
energy
(generation,
transmission
distribution).
We
identify
several
overarching
research
gaps,
include
(i)
limited
consideration
multi-hazard
multi-infrastructure
interactions
within
single
modelling
framework,
(ii)
scarcity
studies
focusing
on
certain
combinations
hazards
types,
(iii)
difficulties
scaling-up
across
geographies,
(iv)
increasing
challenge
validating
models,
(v)
untapped
potential
further
knowledge
spillovers
(vi)
need
embed
equity
considerations
into
frameworks,
(vii)
quantifying
wider
set
impact
metrics.
argue
that
cross-sectoral
approach
enables
sharing
better
integration
interdependencies
between
multiple
sectors.
Frontiers in Built Environment,
Journal Year:
2024,
Volume and Issue:
10
Published: April 10, 2024
This
research
paper
explores
the
integration
of
novel
technologies
in
hospital
emergency
evacuations,
particularly
Operating
Rooms
(ORs)
and
Emergency
Departments
(EDs).
It
examines
application
advanced
tools
like
simulation
modeling,
Building
Information
Modeling
(BIM),
Digital
Twin
technology,
sensor
data,
Artificial
Intelligence
(AI)
to
improve
evacuation
strategies
building.
The
study
extends
in-depth
case
studies
for
assessing
practicality
existing
protocols,
while
also
highlighting
critical
importance
staff
training
preparedness.
Additionally,
it
addresses
ethical
psychological
impacts
emergencies
on
patients
healthcare
staff,
underscoring
need
technology
be
complemented
with
human-centered
care.
concludes
by
emphasizing
ongoing
necessity
innovative
enhancing
safety
operational
resilience
management.
