Urban Planning and Construction,
Journal Year:
2023,
Volume and Issue:
1(1), P. 1 - 8
Published: Oct. 25, 2023
This
review
delves
deep
into
the
intricate
relationship
between
urban
planning
and
flood
risk
management,
tracing
its
historical
trajectory
evolution
of
methodologies
over
time.
Traditionally,
centers
prioritized
defensive
measures,
like
dikes
levees,
with
an
emphasis
on
immediate
solutions
long-term
resilience.
These
practices,
though
effective
in
short
term,
often
overlooked
broader
environmental
implications
necessity
for
holistic
planning.
However,
as
areas
burgeoned
climate
change
introduced
new
challenges,
there
has
been
a
marked
shift
approach.
Modern
now
emphasizes
integrated
blue-green
infrastructure,
aiming
to
harmonize
human
habitation
water
cycles.
Resilience
become
cornerstone,
ensuring
cities
can
adapt
swiftly
recover
from
flooding
events.
Through
meticulous
spatial
planning,
land
use
regulations,
integration
green
transformed
sustainable
habitats.
Yet,
challenges
abound,
rapid
urbanization
socio-economic
disparities
that
amplify
vulnerabilities.
Drawing
lessons
successful
strategies
adopted
Rotterdam,
Singapore,
Portland,
this
underscores
imperative
innovative
thinking,
community
engagement,
adaptability.
In
conclusion,
indeed
metamorphose
opportunities
resilience,
sustainability,
improved
quality
life.
Water,
Journal Year:
2023,
Volume and Issue:
15(3), P. 523 - 523
Published: Jan. 28, 2023
Urban
flood
resilience
can
critically
diminish
the
negative
effects
of
extreme
climatic
conditions.
In
recent
decades,
green
infrastructure
has
been
gaining
attention
among
researchers
and
authorities
in
terms
its
use
urban
contexts
to
enhance
resilience.
This
paper
tries
provide
knowledge
on
how
recently
approached
through
infrastructure.
To
do
this,
distribution
topics
interest,
authors,
sources/regions
publication
are
investigated
a
systematic
review
articles.
Additionally,
methodological
approaches
typologies
examined.
Findings
show
an
agglomeration
publications
developed
countries.
It
was
also
observed
that
there
is
predominance
quantitative
low
connectivity
for
some
hot
within
this
field
research
(e.g.,
biodiversity).
The
most
common
used
discussed.
noticeable
more
than
half
papers
general
park/open
space)
describe
rather
using
technical
providing
information
water
flow
management
characteristics.
outcomes
discussed
give
overview
latest
hotspots
gaps
research,
which
gives
future
directions/expectations
be
followed
forthcoming
investigations.
Progress in Disaster Science,
Journal Year:
2023,
Volume and Issue:
20, P. 100299 - 100299
Published: Oct. 27, 2023
Academic
interest
in
comprehending
flood
resilience
concepts
and
their
evaluation
is
growing
with
the
increasing
frequency
severity
of
disasters
due
to
climate
change
(CC).
This
paper
conducts
a
comprehensive
systematic
literature
review
on
urban
assessment
(UFRA)
address
inadequacy
preparedness,
response
lengthy
recovery
process.
The
covers
UFRA
process
considering
elements,
methods,
tools
techniques,
challenges
achieving
provides
guidance
for
constructing
advance
frameworks.
Scopus
Web
Science
databases
were
accessed
by
employing
pertinent
keywords.
reveals
prevalence
frameworks
analysing
isolated
or
clustered
elements
rather
than
framework
assessing
resilience.
Various
such
as
multi-criteria
decision-making
methods
(MCDM),
hydrological
modelling,
household
surveys,
geographic
information
system
(GIS)
are
commonly
employed
single
elements.
However,
achieve
overall
an
area,
there
need
integrated
approach
that
accounts
evolving
risk
landscape.
Creating
poses
intricate
nature
system,
which
requires
collaboration
across
multiple
disciplines
integration
modern
including
computational
modelling
agent-based
(ABM)
dynamics
approaches,
artificial
intelligence
cognitive
fuzzy
modelling.
outcome
this
research
serves
valuable
resource
researchers,
academicians,
policymakers.
It
aids
understanding
process,
focusing
inter-relationships,
dimensions
indicators
necessary
scenarios
comprehensively.
Water Science & Technology,
Journal Year:
2023,
Volume and Issue:
87(11), P. 2820 - 2839
Published: May 16, 2023
Climate
change
and
increasing
urbanization
have
contributed
greatly
to
urban
flooding,
making
it
a
global
problem.
The
resilient
city
approach
provides
new
ideas
for
flood
prevention
research,
currently,
enhancing
resilience
is
an
effective
means
alleviating
flooding
pressure.
This
study
proposes
method
quantify
the
value
of
based
on
`4R'
theory
resilience,
by
coupling
rainfall
model
simulate
simulation
results
are
used
calculating
index
weights
assessing
spatial
distribution
in
area.
indicate
that
(1)
high
level
area
positively
correlated
with
points
prone
waterlogging;
more
waterlogging,
lower
value.
(2)
most
areas
shows
significant
local
clustering
effect,
number
nonsignificant
accounting
46%
total.
assessment
system
constructed
this
reference
other
cities,
thus
facilitating
decision-making
process
planning
disaster
mitigation.
Artificial Intelligence Review,
Journal Year:
2024,
Volume and Issue:
57(2)
Published: Jan. 30, 2024
Abstract
Quantum
algorithms,
based
on
the
principles
of
quantum
mechanics,
offer
significant
parallel
processing
capabilities
with
a
wide
range
applications.
Nature-inspired
stochastic
optimization
algorithms
have
long
been
research
hotspot.
The
fusion
mechanics
methods
can
potentially
address
NP-hard
problems
more
efficiently
and
exponentially
faster.
potential
advantages
provided
by
ground-breaking
paradigm
expedited
scientific
output
quantum-inspired
locale.
Consequently,
pertinent
investigation
is
required
to
explain
how
advancements
evolved.
scientometric
approach
utilizes
quantitative
qualitative
techniques
analyze
publications
evaluate
structure
knowledge.
Henceforth,
current
presents
systematic
analysis
metaheuristic
(QiMs)
literature
from
Scopus
database
since
its
inception.
implications
article
detailed
exploration
publication
patterns,
keyword
co-occurrence
network
analysis,
author
co-citation
country
collaboration
corresponding
each
opted
category
QiMs.
reveals
that
QiMs
solely
account
26.66%
share
in
computing
experienced
an
impressive
42.59%
growth
rate
past
decade.
Notably,
power
management,
adiabatic
computation,
vehicle
routing
are
prominent
emerging
application
areas.
An
extensive
identifies
key
insights
gaps
knowledge
domain.
Overall,
findings
provide
cues
researchers
academic
fraternity
for
identifying
intellectual
landscape
latest
trends
QiMs,
thereby
fostering
innovation
informed
decision-making.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: June 4, 2024
Abstract
Developing
countries
with
hard
pressed
economies
and
a
rapidly
growing
population
have
myriad
of
issues
to
face.
Karachi
is
one
the
largest
cities
Pakistan
growing.
The
city
has
been
hit
by
floods
in
year
2016,
2018,
2019
2020,
recently.
Since
early
1990s
seen
rapid
spike
development
process
many
natural
streams
built
over.
This
led
reduced
space
for
rainwater
runoff
created
problems
urban
flood
managers.
To
ascertain
this,
topographic
records
1940s
1980s
Landsat
imagery
2000,
2008,
2015
2020
were
used
map
historical
extent.
Sentinel—1,
Synthetic
Aperture
Radar
(SAR)
was
extract
flooded
areas
during
2015,
2017,
floods.
In
64.3
km
2
area
which
highest.
There
growth
286%
observed
between
1980
2000.
several
water
carrying
streams,
north
west
it.
It
found
that
out
3600
these
870
either
blocked
or
removed
100%
core
area.
DEM
difference
(DOD)
prepared
subtracting
1945
from
SRTM
indicated
most
embankments
along
show
erosion
DOD
surface,
thus
explaining
expansion
stream
channels.
Forcing
enter
areas.
Discover Geoscience,
Journal Year:
2024,
Volume and Issue:
2(1)
Published: July 16, 2024
Abstract
The
increasing
frequency
of
flood
disasters
around
the
globe
highlights
need
for
creative
approaches
to
improve
disaster
preparedness.
This
thorough
analysis
and
assessment
explore
topic
enhancing
resilience
by
utilising
cutting-edge
geo-computational
techniques.
By
combining
a
variety
techniques,
such
as
remote
sensing,
geographic
information
systems
(GIS),
LiDAR,
unmanned
aerial
vehicles
(UAVs),
technologies
like
machine
learning
geospatial
big
data
analytics,
study
provides
complex
framework
monitoring,
risk
assessment,
mitigation.
using
sensing
technology,
occurrences
can
be
tracked
in
real
time
inundations
may
precisely
mapped,
which
makes
proactive
response
plans
possible.
GIS
facilitates
effective
evacuation
planning
streamlining
spatial
decision-making
procedures
providing
critical
insights
into
risky
locations.
High-resolution
elevation
is
provided
LiDAR
essential
precise
modelling
simulation.
Unmanned
Aerial
Vehicles
(UAVs)
quickly
deployed
assist
with
situational
awareness
damage
during
disaster.
Furthermore,
predictive
skills
are
enhanced
combination
opening
door
creation
adaptive
reaction
early
warning
systems.
investigation
how
tools
significantly
community
lessen
negative
effects
disasters.
After
review
literature
case
studies,
this
clarifies
these
might
preparation
great
extent.
Water,
Journal Year:
2023,
Volume and Issue:
15(10), P. 1865 - 1865
Published: May 15, 2023
Floods
have
become
the
most
prevalent
and
catastrophic
natural
hazard
that
plagues
cities
worldwide.
As
an
inherent
characteristic
of
urban
system
reflects
degree
effect
flooding
capacity
to
cope
with
it,
flood
vulnerability
is
great
significance
when
analyzing
managing
disasters.
To
produce
a
better
profile
current
status
development
trend
research,
this
study
conducted
bibliometric
analysis
using
CiteSpace
software
based
on
1134
articles
sourced
from
Web
Science
Core
Collection
database.
The
results
showed
annual
publication
number
exhibited
ascending
trajectory,
which
was
characterized
by
three
stages:
sprouting
stage,
stable
stage
rapid
stage.
United
States,
China
England
were
productive
countries.
Among
top
co-cited
journals
Natural
Hazards,
Hazards
Earth
System
Science,
Global
Environmental
Change
Journal
Hydrology.
In
addition,
focus
research
can
be
succinctly
summarized
as
assessments
mapping,
impact
climate
change
urbanization
integration
risk
resilience.
This
presents
comprehensive
trends
related
vulnerability,
it
contributes
understanding
key
areas
in
field
well
insights
into
potential
prospects
for
future
investigation
researchers
practitioners.
Water,
Journal Year:
2025,
Volume and Issue:
17(1), P. 128 - 128
Published: Jan. 6, 2025
Precipitation
within
specific
return
periods
plays
a
crucial
role
in
the
design
of
hydraulic
infrastructure
for
water
management.
Traditional
analytical
approaches
involve
collecting
annual
maximum
precipitation
data
from
station
followed
by
application
statistical
probability
distributions
and
selection
best-fit
distribution
based
on
goodness-of-fit
tests
(e.g.,
Kolmogorov-Smirnov).
However,
this
methodology
relies
current
data,
raising
concerns
about
its
suitability
outdated
data.
This
study
aims
to
compare
Probability
Density
Functions
(PDFs)
with
Random
Forest
(RF)
machine
learning
algorithm
estimating
at
different
periods.
Using
twenty-six
stations
located
various
parts
Arequipa
department
Peru,
performance
both
methods
was
evaluated
using
MSE,
RMSE,
R2
MAE.
The
results
show
that
RF
outperforms
PDFs
most
cases,
having
more
precision
metrics
mentioned
estimates
2,
5,
10,
20,
50,
100
years
studied
stations.