Hydrological Processes,
Journal Year:
2024,
Volume and Issue:
38(12)
Published: Dec. 1, 2024
ABSTRACT
Urban
flooding
is
an
increasing
threat
to
cities
and
resident
well‐being.
The
Federal
Emergency
Management
Agency
(FEMA)
typically
reports
losses
attributed
which
result
from
a
stream
overtopping
its
banks,
discounting
impacts
of
higher
frequency,
lower
impact
that
occurs
when
precipitation
intensity
exceeds
the
capacity
drainage
system.
Despite
importance,
drivers
street
can
often
be
difficult
identify,
given
data
scarcity
multitude
storm,
built
environment,
social
factors
involved.
To
address
this
knowledge
gap,
study
uses
922
city
in
Denver,
Colorado,
USA
2000
2019
coordination
with
rain
gauge
network
Census
tract
information
improve
understanding
spatiotemporal
urban
flooding.
An
initial
threshold
analysis
using
rainfall
predict
had
performance
close
random
chance,
led
us
investigate
other
drivers.
A
logistic
regression
describing
probability
storm
leading
flood
report
showed
strongest
predictors
were,
descending
order,
maximum
5‐min
intensity,
population
density,
depth,
duration,
median
income,
stormwater
pipe
density.
also
density
are
nearly
as
important
determining
likelihood
incidence.
In
addition,
topographic
wetness
index
values
at
locations
were
than
randomly
selected
points.
linear
predicting
number
per
area
identified
percent
impervious
single
most
predictor.
Our
methodologies
used
better
inform
awareness,
response,
mitigation
applicable
any
spatial
data.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2147 - 2147
Published: March 1, 2025
In
recent
years,
the
combined
effects
of
rapid
urbanization
and
climate
change
have
led
to
frequent
floods
in
urban
areas.
Rainstorm
flood
risk
warning
systems
play
a
crucial
role
prevention
mitigation.
However,
there
has
been
limited
research
China
on
nationwide
based
rainfall
predictions.
This
study
constructs
two-level
early
system
(EWS)
at
national
levels
using
two-dimensional
hydrological–hydrodynamic
model
considering
infiltration
drainage
standards.
A
methodology
for
rainstorm
warnings
is
proposed,
leveraging
short-term
high-resolution
forecast
data
provide
231
cities
central
eastern
China.
Taking
Beijing
as
an
example,
refined
technique
targeting
city,
district,
street
scales
developed.
We
validated
with
monitoring
from
“7.31”
event
2023
Beijing,
demonstrating
its
applicability.
It
expected
that
findings
this
will
serve
valuable
reference
Water,
Journal Year:
2024,
Volume and Issue:
16(17), P. 2464 - 2464
Published: Aug. 30, 2024
Rapid
urbanization
has
altered
the
natural
surface
properties
and
spatial
patterns,
increasing
risk
of
urban
waterlogging.
Assessing
probability
waterlogging
is
crucial
for
preventing
mitigating
environmental
risks
associated
with
This
study
aims
to
evaluate
impact
different
morphologies
on
risk.
The
proposed
assessment
framework
was
demonstrated
in
Guangzhou,
a
high-density
city
China.
Firstly,
weight
naive
Bayes
model
employed
map
Guangzhou.
Secondly,
World
Urban
Database
Access
Portal
Tools
(WUDAPT)-based
method
used
create
local
climate
zone
(LCZ)
Then,
range
proportion
levels
were
analyzed
across
LCZs.
Finally,
Theil
index
measure
disparity
exposure
among
residents.
results
indicate
that
16.29%
area
Guangzhou
at
Specifically,
13.06%
LCZ
2
classified
as
high
risk,
followed
by
1,
8,
10,
proportions
11.42%,
8.37%,
6.26%,
respectively.
Liwan
District
highest
flood
level
0.975,
Haizhu,
Yuexiu,
Baiyun.
overall
0.30,
difference
between
administrative
districts
(0.13)
being
smaller
than
within
(0.17).
These
findings
provide
valuable
insights
future
mitigation
help
adopting
effective
reduction
strategies
planning
level.
Remote Sensing,
Journal Year:
2024,
Volume and Issue:
16(12), P. 2130 - 2130
Published: June 12, 2024
With
the
increase
in
global
extreme
climate
events,
frequency
of
urban
waterlogging
caused
by
rainstorms
is
increasing,
resulting
serious
economic
losses
and
risk
to
local
residents.
Understanding
influence
impervious
surfaces
on
great
significance
for
reducing
disasters.
Based
InfoWorks
ICM,
model
Lin’an
City
was
established,
multi-scenario
design
method
used
analyze
characteristics
causes
under
different
designed
rainfall
return
periods.
The
results
show
that
maximum
stagnant
water
depth
area
are
positively
correlated
with
proportion
In
addition,
related
fragmentation
surfaces,
pipeline
network,
so
on.
findings,
it
suggested
should
be
placed
upstream
along
roads
where
feasible.
It
also
recommended
aggregation
minimized
prevent
waterlogging.
provide
technical
support
reference
governments
