Under
global
warming,
the
increase
in
extreme
rainfall
events
has
led
to
a
significant
rise
frequency
of
urban
waterlogging
disasters,
and
major
cities
are
facing
severe
risks
waterlogging.
In
this
paper,
revised
"annual
maximum
method"
was
utilized
develop
intensity
formula
suitable
for
Xicen
Science
Technology
Innovation
Center
(XICEN).
Based
on
satellite
remote
sensing
data
SCS-CN
model,
we
evaluated
under
five
scenarios
with
return
periods
5a,
10a,
20a,
50a,
100a
through
inversion
method
critical
rainfall.
The
results
indicate
that
when
hourly
exceeds
50mm,
may
affect
entire
study
area.
Furthermore,
as
period
extends,
risk
also
increases.
scenario
5a
period,
is
mainly
categorized
mid-low
or
low
risk;
however,
XICEN
mid-high
levels.
These
findings
can
serve
references
disaster
response
future
construction
planning.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(1), P. 662 - 679
Published: Feb. 16, 2024
Flooding
in
urban
areas
is
expected
to
become
even
more
common
due
climatic
changes,
putting
pressure
on
cities
implement
effective
response
measures.
Practical
mechanisms
for
assessing
flood
risk
have
highly
desired,
but
existing
solutions
been
devoted
evaluating
only
specific
and
consider
limited
perspectives,
constraining
their
general
applicability.
This
article
presents
an
innovative
approach
the
of
delimited
by
exploiting
geospatial
information
from
publicly
available
databases,
providing
a
method
that
applicable
any
city
world
requiring
minimum
configurations.
A
set
mathematical
equations
defined
numerically
levels
based
elevation,
slope,
proximity
rivers,
while
existence
emergency-related
infrastructure
considered
as
reduction
factor.
Then,
computed
are
used
classify
areas,
allowing
easy
visualisation
city.
smart
not
serves
valuable
tool
different
parameters
also
facilitates
implementation
cutting-edge
strategies
effectively
mitigate
critical
situations,
ultimately
enhancing
resilience
flood-related
disaster.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(2), P. 219 - 219
Published: Jan. 5, 2024
In
the
context
of
urbanization,
frequent
flood
event
have
become
most
common
natural
disasters,
posing
a
significant
challenge
to
human
society.
Considering
effects
urbanization
on
risk
is
critical
for
reduction
and
reasonable
land
planning
strategies
at
city
scale.
This
study
proposes
an
integrated
approach
based
remote
sensing
data
using
CA,
Markov,
simplified
hydrodynamic
(FloodMap)
models
accurately
effectively
assess
under
urbanization.
Taking
Chongqing
City
as
case
study,
this
paper
analyzes
temporal
spatial
variations
in
use/land
cover
(LULC)
2010,
2015,
2018
predicts
LULC
2030,
historic
trends.
Flood
assessed
by
combining
hazard,
exposure,
modified
vulnerability.
The
results
suggest
that
area
built-up
will
increase
significantly
from
19.56%
25.21%
2030.
From
2010
medium
high
inundation
depths
10
16
times,
respectively.
damage
varies
remarkably
according
return
period.
expected
annual
(EAD)
has
been
estimated
USD
68
million
200
proportional
population
inversely
socioeconomic
level.
used
here
can
provide
comprehensive
understanding
land-use
policymaking
management
control
facilities.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 1992 - 2014
Published: July 26, 2024
The
safety
of
cyclists
on
city
streets
is
a
significant
concern,
particularly
with
the
rising
number
accidents
in
densely
populated
areas.
Urban
environments
present
numerous
challenges,
such
as
complex
road
networks
and
heavy
traffic,
which
increase
risk
cycling-related
incidents.
Such
concern
has
been
recurrent,
even
within
smart
scenarios
that
have
focused
only
expanding
cycling
infrastructure.
This
article
introduces
an
innovative
low-cost
embedded
system
designed
to
improve
urban
areas,
taking
geospatial
data
input.
By
assessing
proximity
emergency
services
utilizing
GPS
coordinates,
can
determine
indirect
current
level
for
cyclists,
providing
real-time
alerts
when
crossing
high-risk
zones.
Built
Raspberry
Pi
Zero
board,
this
solution
both
cost-effective
efficient,
making
it
easily
reproducible
various
settings.
Preliminary
results
Porto,
Portugal,
showcase
system’s
practical
application
effectiveness
enhancing
supporting
sustainable
mobility.
Water Science & Technology,
Journal Year:
2024,
Volume and Issue:
90(4), P. 1338 - 1358
Published: Aug. 14, 2024
ABSTRACT
Urban
flooding
intensifies
with
escalating
urbanization.
This
study
focuses
on
Xiong'er
river
as
the
area
and
couples
a
1D/2D
urban
model
using
InfoWorks
ICM
(Integrated
Catchment
Modeling).
Ten
scenarios
are
set
respectively
rainfall
return
period
of
5a
10a,
20a,
50a,
100a,
alongside
durations
1
24
h.
Subsequently,
H-V
(hazard–vulnerability)
method
was
applied
to
evaluate
risk.
Three
indicators
were
selected
for
each
hazard
factors
vulnerability
factors.
The
relative
weight
values
indicator
factor
calculated
AHP
method.
result
shows
that
(1)
flood
depth,
rate,
duration
escalate
longer
periods,
yet
decrease
increases;
(2)
lengthens,
proportion
node
overflow
rises,
whereas
it
diminishes
durations,
leading
an
overall
overloaded
state
in
pipeline
network;
(3)
distribution
research
is
mainly
low-risk
areas,
very
few
extremely
high-risk.
Medium
high-risk
areas
distributed
both
sides
river,
densely
built
low-lying
areas.
demonstrates
can
accurately
simulate
provide
insights
analyses
comparable
regions.
Sustainable Horizons,
Journal Year:
2024,
Volume and Issue:
9, P. 100092 - 100092
Published: Feb. 1, 2024
Hydrological
modeling
often
requires
long-term
and
stable
runoff
data.
Due
to
limitations
in
hydrological
stations,
small-scale
catchments
faces
the
challenge
of
data
scarcity.
To
overcome
incomplete
data,
an
integrated
approach
that
includes
a
semi-distributed
hydrodynamic
numerical
model
was
employed
catchment
located
Isserstedt,
upstream
Leutra
River,
Germany.
The
results
indicated
this
effectively
leverages
strengths
each
reasonably
predicted
peak
flows.
As
measure
for
regional
management,
keyline
method
contributed
more
hydrographs
lower
flows,
played
role
water
storage
local
climate
regulation.
framework
proposed
study
provided
valuable
insights
into
critical
storms,
hydrographs,
flood
extent
storm
extremes.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(2), P. 212 - 212
Published: Jan. 9, 2025
Urban
expansion
encroaches
on
green
spaces
and
weakens
ecosystem
services,
potentially
leading
to
a
trade-off
between
ecological
conditions
socio-economic
growth.
Effectively
coordinating
the
two
elements
is
essential
for
achieving
sustainable
development
goals
at
urban
scale.
However,
few
studies
have
measured
urban–ecological
linkage
in
terms
of
trade-off.
In
this
study,
we
propose
framework
by
linking
degraded
land
use
efficiency
from
return
investment
perspective.
Taking
rapidly
expanding
city
as
case
comprehensively
quantified
four
aspects:
heat
island,
flood
regulating
service,
habitat
quality,
carbon
sequestration.
These
were
assessed
1
km2
grids,
along
with
same
spatial
We
employed
slack-based
measure
model
evaluate
applied
geo-detector
method
identify
its
driving
factors.
Our
findings
reveal
that
while
Zhengzhou’s
periphery
over
past
decades,
inner
showed
improvement
island
Trade-off
exhibited
an
overall
upward
trend
during
2000–2020,
despite
initial
declines
some
areas.
Interaction
detection
demonstrates
significant
synergistic
effects
pairs
drivers,
such
Normalized
Difference
Vegetation
Index
building
height,
number
patches
patch
cohesion
index
built-up
land,
q-values
0.298
0.137,
respectively.
light
spatiotemporal
adaptive
management
strategies.
The
could
serve
guidance
assist
decision-makers
planners
monitoring
context
expansion.
Water Science & Technology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 26, 2025
Establishing
a
coordinated
flood
storage
and
drainage
joint
regulation
mode
for
various
cities
can
effectively
mitigate
the
disaster
risk
associated
with
extensive
heavy
rainfall.
This
study
introduces
novel
concept
of
urban
agglomeration
based
on
watershed
features
spatial
topological
norms.
From
perspective
agglomeration,
three
new
modes
are
proposed
to
guide
in
plain
cities:
(1)
storing
before
discharging,
(2)
discharging
storing,
(3)
while
storing.
The
aim
facilitate
coordination
among
neighboring
an
enhance
temporal
drainage.
Multi-layer
tree
rules
established
allocate
characteristics
risk,
storage,
performance.
fact
case
proves
that
has
certain
practical
applicability.
There
35,
151,
30
use
DS,
DWS,
SD
modes,
respectively,
out
221
total.
Most
agglomerations
employ
at
least
two
different
modes.
multi-layer
allocation
presented
this
provide
theoretical
guidelines
management
across
regions.