Compound Flood Risk Assessment of Extreme Rainfall and High River Water Level
Water,
Год журнала:
2025,
Номер
17(6), С. 841 - 841
Опубликована: Март 14, 2025
Urban
flooding
is
typically
caused
by
multiple
factors,
with
extreme
rainfall
and
rising
water
levels
in
receiving
bodies
both
contributing
to
increased
flood
risks.
This
study
focuses
on
assessing
urban
risks
Jinhua
City,
Zhejiang
Province,
China,
considering
the
combined
effects
of
high
river
levels.
Using
historical
data
from
station
(2005–2022),
constructed
a
joint
probability
distribution
via
copula
function.
The
findings
show
that
risk
significantly
higher
than
each
factor
separately,
indicating
ignoring
their
interaction
could
greatly
underestimate
Scenario
simulations
using
Infoworks
ICM
model
demonstrate
areas
range
0.67%
5.39%
under
baseline
scenario
but
increase
8.98–12.80%
when
50a
return
period
level.
High
play
critical
role
increasing
extent
depth
flooding,
especially
low
coincides
These
highlight
importance
compound
disaster-causing
factors
assessment
can
serve
as
reference
for
drainage
control
planning
management.
Язык: Английский
Quantitative Analysis of Sponge City Construction and Function in the Main Urban Area of Chengdu
Water,
Год журнала:
2025,
Номер
17(7), С. 933 - 933
Опубликована: Март 22, 2025
This
study
utilizes
ArcGIS,
the
InVEST
model,
and
SCS
model
to
analyze
remote
sensing
data
from
central
urban
areas
of
Chengdu.
The
analysis
simulates
water
yield
runoff
within
area
while
calculating
conservation
capacity
for
each
land
use
type
using
balance
method.
aims
address
challenges
faced
by
Chengdu
in
implementing
its
sponge
city
initiatives.
results
reveal
that
spatial
distribution
direct
generally
follows
a
pattern
“low
periphery
high
center”.
Transportation,
commercial,
industrial,
residential
types
account
74.7%
total
surface
area,
emphasizing
their
importance
rainwater
management
development.
Water
varies
across
different
types,
with
bodies
exhibiting
lowest
artificial
highest
capacity.
initially
exhibited
downward
trend
before
increasing,
type,
climatic
factors,
vegetation
coverage
identified
as
primary
drivers
yield.
gradually
decreased,
higher
values
observed
east
south
lower
north
west.
These
trends
differences
can
be
attributed
expansion
alterations
cover.
Based
on
these
findings,
this
assessed
risk
waterlogging
provided
recommendations
optimizing
low-impact
development
(LID)
strategies.
provides
scientific
foundation
initiatives,
mitigation,
strategies
Язык: Английский
A Comprehensive Review of Cutting-Edge Flood Modelling Approaches for Urban Flood Resilience Enhancement
Water Conservation Science and Engineering,
Год журнала:
2024,
Номер
10(1)
Опубликована: Дек. 20, 2024
Язык: Английский
Urban Waterlogging Simulation and Disaster Risk Analysis Using InfoWorks Integrated Catchment Management: A Case Study from the Yushan Lake Area of Ma’anshan City in China
Water,
Год журнала:
2024,
Номер
16(23), С. 3383 - 3383
Опубликована: Ноя. 25, 2024
Under
the
dual
pressures
of
climate
change
and
urbanization,
cities
in
China
are
experiencing
increasingly
severe
flooding.
Using
Yushan
Lake
area
Ma’anshan
City,
Anhui
Province,
as
a
case
study,
we
employed
InfoWorks
Integrated
Catchment
Management
(ICM)
hydraulic
model
to
analyze
drainage
flood
prevention
system
region
assess
current
infrastructure
for
control.
There
117
pipelines
with
return
period
lower
than
one
year
stormwater
combined
sewer
systems,
accounting
12.3%
total
number
pipelines.
The
meeting
one-year
but
not
three-year
standard
is
700,
representing
70.2%.
Only
17.5%
capable
handling
events
exceeding
standard.
In
simulating
24
h,
30-year
rainfall
event,
results
indicate
that
floodwater
accumulation
study
predominantly
between
0.15
m
0.3
m.
Most
risk
areas
classified
low
risk,
covering
an
36.398
hectares,
followed
by
medium
high-risk
areas,
which
cover
8.226
hectares
3.087
respectively.
has,
overall,
certain
control
capabilities
faces
risks
during
storms
periods
three
years.
This
research
offers
valuable
insights
improving
urban
management
City
through
development
area.
Язык: Английский
Multidimensional Urban Waterlogging Risk Assessment Based on a Refined Inundation Model
Yang Hai-yan,
T. Jiang,
Zhe Wang
и другие.
Sustainability,
Год журнала:
2024,
Номер
17(1), С. 135 - 135
Опубликована: Дек. 27, 2024
To
enhance
the
scientific
and
accurate
assessment
methods
for
urban
waterlogging
risk
in
City
B
to
promote
sustainable
development,
this
paper
conducts
a
detailed
evaluation
of
from
three
dimensions:
pedestrian
safety,
road
traffic,
waterlogging-prone
areas.
After
considering
existing
monitoring
technologies
constructed
model,
identifies
standing
water
depth,
duration,
velocity
as
key
indicators
utilizes
scenario
simulation
evaluate
across
these
dimensions.
Additionally,
employs
boundary
conditions
2-h
short-duration
rainfall
with
5-year
return
period
24-h
long-duration
50-year
assessment.
The
results
indicate
that,
under
both
short
conditions,
low-risk
areas
represent
largest
proportion
areas,
reaching
6.36%
10.83%
total
area,
respectively.
In
traffic
assessment,
proportions
severely
congested
roads
short-
are
27.06%
57.15%,
high-risk
account
0.64%
1.42%
Язык: Английский