Urban Waterlogging Disaster Risk Evaluation Framework Based on Complex Network and Agent-Based Model: A Case Study of Zhengzhou, China
Jia Xu,
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Chao Ding,
No information about this author
Jie Ren
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et al.
Published: Jan. 1, 2025
Language: Английский
A hybrid surrogate model for real-time coastal urban flood prediction: An application to Macao
L. Xu,
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Liang Gao
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Journal of Hydrology,
Journal Year:
2024,
Volume and Issue:
642, P. 131863 - 131863
Published: Aug. 19, 2024
Language: Английский
Integrating river channel flood diversion strategies into dynamic urban flood risk assessment and multi-objective optimization of emergency shelters
Kunlun Chen,
No information about this author
Haitao Wang,
No information about this author
Hao Jia
No information about this author
et al.
Physics of Fluids,
Journal Year:
2025,
Volume and Issue:
37(3)
Published: March 1, 2025
With
the
continuous
advancement
of
urbanization,
risk
urban
flooding
is
increasing,
making
establishment
emergency
shelters
crucial
for
mitigating
flood
disasters.
This
study
uses
Jinshui
River
diversion
pipeline
project
in
Zhengzhou
as
a
case
to
systematically
investigate
effect
measures
on
reducing
risks
and
optimize
site
selection
based
assessments.
First,
InfoWorks
integrated
catchment
management
model
used
simulate
under
different
rainfall
scenarios.
Second,
integrating
multi-source
data,
technique
order
preference
by
similarity
an
ideal
solution
with
four
weighting
methods
applied
identify
high-risk
areas.
Finally,
results
assessment
are
weights
multi-objective
model,
which
solved
particle
swarm
optimization
algorithm
determine
optimal
shelter
locations.
The
show
that:
(1)
In
10,
50,
200-years
scenarios,
significantly
reduce
depth
inundated
areas;
however,
limited
extreme
“7·20”
event.
(2)
High-risk
areas
primarily
concentrated
highly
urbanized
northeast,
although
alleviates
risk,
overall
remains
high
events.
(3)
Under
scenario
after
diversion,
13
locations
identified,
average
evacuation
distance
471.9
meters,
covering
97.3%
population
area.
These
findings
provide
scientific
evidence
management.
Language: Английский
Risk Assessment of Flood Disaster in Cities Based on “Disaster-Pregnant, Disaster-Causing, Disaster-Forming and Disaster-Curing”
Xinjian Guan,
No information about this author
Yuan Liu,
No information about this author
Yu Meng
No information about this author
et al.
Water Resources Management,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 10, 2024
Language: Английский
Spatiotemporal Urban Waterlogging Risk Assessment Incorporating Human and Vehicle Distribution
Lujing Li,
No information about this author
Zhiming Zhang,
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Xiaotian Qi
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et al.
Water,
Journal Year:
2023,
Volume and Issue:
15(19), P. 3452 - 3452
Published: Sept. 30, 2023
Due
to
the
increase
in
frequency
and
severity,
assessing
predicting
urban
waterlogging
risk
is
critical.
The
assessment
framework
based
on
three
factors:
hazard,
exposure,
vulnerability.
indicators,
previously
solely
static
account
for
effects
of
varying
temporal
spatial
distributions
people
vehicles
results.
Specifically,
two
dynamic
indicators—the
population
density
Traffic
Performance
Index
(TPI)—are
added
mix
dynamically
assess
central
area
Suqian
City
Jiangsu
Province,
China’s
area,
over
various
periods.
findings
indicate
that
four–six
times
more
individuals
are
affected
during
peak
hours
than
other
periods,
no
important
roads
within
scope
while
nearly
ten
will
be
hours.
Additionally,
characteristics
distribution
can
accurately
represented
by
a
combination
indicators.
highest
areas
significantly
prominent
weekday
period
times;
morning
mainly
traffic
performance
evening
density,
main
factors
affecting
periods
same
as
period.
located
eastern
part
City,
with
lowest
north
south.
Language: Английский
Identification of Waterlogging-Prone Areas in Nanning from the Perspective of Urban Expansion
Juan Huang,
No information about this author
Jiangfeng Li,
No information about this author
Zhi Huang
No information about this author
et al.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(20), P. 15095 - 15095
Published: Oct. 20, 2023
The
objective
of
this
study
was
to
discern
the
spatial
and
temporal
patterns
areas
in
Nanning
that
are
susceptible
waterlogging,
particularly
during
various
phases
urban
expansion.
Furthermore,
presents
a
proposal
outlining
strategies
aimed
at
preventing
controlling
waterlogging.
These
based
on
integration
concepts
sponge
city
resilient
construction.
This
employed
remote
sensing
(RS)
geographic
information
system
(GIS)
techniques
provide
technical
support.
supervised
classification
method
normalized
difference
index
were
utilized
compare
extract
impervious
surfaces
from
2013
2020.
present
investigation
acquired
compute
fractal
dimension
as
weighting
factor,
incorporating
digital
elevation
model
(DEM)
for
purpose
conducting
hydrological
analysis
ArcGIS.
Based
findings
study,
several
conclusions
can
be
derived.
following
drawn
study:
(1)
varied
over
period,
with
values
1.32,
1.41,
1.58
2013,
2017,
2020,
respectively.
distribution
showed
decreasing
trend
center
periphery.
Urban
planning
construction
activities
have
significantly
influenced
surfaces,
resulting
progressively
more
complex
unstable
structure.
(2)
From
expansion
increased
1.32
1.58,
indicating
decrease
stability
surfaces.
higher
concentrations
coincided
frequent
waterlogging-prone
areas.
points
transformed
concentrated
pattern
scattered
one.
(3)
In
terms
waterlogging
prevention
control
strategies,
old
recommended
into
projects,
new
development
planned,
designed
implemented
concept
“resilience”.
Language: Английский
Construction And Application Of Evaluation Index System For Pharmaceutical Supply Chain Resilience: A Delphi Study
Peng Wang,
No information about this author
Kitti Than-Udomchok,
No information about this author
Sombut Sae-be
No information about this author
et al.
Journal of Namibian Studies History Politics Culture,
Journal Year:
2023,
Volume and Issue:
33
Published: May 21, 2023
The
present
study
outlines
a
methodical
methodology
for
developing
an
assessment
index
framework
aimed
at
enhancing
the
resilience
of
pharmaceutical
supply
chain.
A
preliminary
version
evaluation
system
was
established
through
comprehensive
review
literature
and
panel
discussions.
Two
rounds
expert
consultation
were
conducted
using
Delphi
method
to
finalize
indicators
their
corresponding
weights.
criteria
chain
comprises
ten
primary
sixty-two
secondary
indicators.
These
encompass
various
facets
such
as
ability
design
chain,
reserve
resources,
integrate
processes,
collaborate
effectively,
adopt
eco-friendly
practices,
visualize
data,
foster
culture
learning.
outcomes
with
experts
reveal
that
is
reliable,
it
demonstrates
significant
level
attention,
coordination,
authority
among
experts.
determination
weight
each
indicator
in
based
on
relative
significance
factors
augmenting
development
offers
systematic
approach
evaluate
enhance
chains,
thereby
providing
valuable
scientific
instrument.
results
this
hold
potential
value
entities
within
industry,
companies,
policymakers,
other
stakeholders.
Specifically,
these
findings
may
aid
identification
resolution
weaknesses
enhancement
management
fortification
against
external
disruptions.
Prospective
investigations
center
implementation
practical
scenarios,
scrutinizing
its
soundness
dependability,
investigating
methods
consistently
robustness
chains.
Language: Английский
Research on Risk Assessment of Rainstorm and Flood Disaster in Cities Based on "Disaster-Pregnant, Disaster-Causing, Disaster-Forming and Disaster-Curing"
Xinjian Guan,
No information about this author
Yuan Liu,
No information about this author
Meng Yu
No information about this author
et al.
Published: Jan. 1, 2023
The
risk
assessment
of
urban
flood
disasters
(UFRA)
is
an
effective
way
to
prevent
disasters,
which
plays
important
role
in
management.
Urban
floods
have
occurred
frequently
recent
years,
it
great
necessary
carry
out
research
on
UFRA.
With
considering
four
main
factors:
disaster-pregnant,
disaster-causing,
disaster-forming,
and
disaster-curing,
this
paper
established
a
model
for
disasters.
Firstly,
constructing
city
index
system,
calculating
the
optimal
combination
weight(CW)
by
determining
subjective
weight(SW)
objective
weight(OW).
Secondly,
using
cloud
reveal
uncertainty
relationship
between
evaluation
indexes
level,
comprehensive
UFRA
was
obtained.
Rainfall
water
information
all
kinds
building
types
could
be
collected
through
SWMM,
system
disaster-causing
GIS
improved.
Taking
100-year
return
period
rainfall
central
area
Zhengzhou
City
as
example,
level
obtained,
factors
contributing
each
region
were
analyzed.
results
indicated
that
Jinshui
District
(JD)
at
high
other
districts
sub-high
risk.
This
provides
new
ideas
Language: Английский