Ecological Indicators,
Год журнала:
2024,
Номер
162, С. 112000 - 112000
Опубликована: Апрель 13, 2024
Climate
change
has
significantly
increased
the
risks
associated
with
urban
flooding.
However,
most
research
on
flood
risk
assessment
focuses
large-scale
climate
changes
and
impacts,
leaving
a
gap
in
high
spatial
resolution
of
inter-urban
areas.
This
makes
it
difficult
to
guide
regional
planning
for
government.
Therefore,
this
study
aims
explore
floods
ultra-high-density
cities
under
at
scale,
using
Hong
Kong
as
case
study.
We
comprehensively
assessed
index
(FRI)
built
environment
211
tertiary
units
(TPUs)
from
three
dimensions
vulnerability,
exposure,
hazard
2006
2021.
also
employed
prediction
model
forecast
spatial–temporal
patterns
FRI
next
5,
10,
15
years
evaluated
uneven
distribution
risks.
The
results
show
that
TPUs
yearly,
which
poses
higher
threats
agglomerative
areas
transportation
functional
facilities.
Additionally,
future
will
further
impact
coastal
western
Kong,
resulting
more
negative
impacts
high-building
should
prioritize
integrating
management
mitigation
measures.
Applied Sciences,
Год журнала:
2024,
Номер
14(9), С. 3694 - 3694
Опубликована: Апрель 26, 2024
Against
the
backdrop
of
global
warming
and
rising
sea
levels
coupled
with
increasing
urbanization,
flood
risks
for
plain
cities
have
intensified.
This
study
takes
Liaocheng
City
as
its
research
object
constructs
a
regional
risk
assessment
model
based
on
combination
subjective
objective
multi-weight
methods.
The
sets
weights
according
to
different
return
periods
from
three
perspectives:
severity
disaster-causing
factors,
exposure
disaster-prone
environments,
vulnerability
disaster-bearing
bodies.
It
also
uses
subjective–objective
adopts
CRITIC-entropy
environments
bodies,
AHP
criterion
layer.
Based
GIS
spatial
analysis
technology,
examination
zoning
disasters
at
county
scale
were
carried
out.
results
show
that,
unlike
existing
weighting
methods
machine
learning
methods,
this
method
can
simultaneously
avoid
subjectivity
uncertainty
parameters,
thus
enabling
more
accurate
decision-making
be
obtained.
distribution
comprehensive
is
high
in
central
western
parts
relatively
low
south
north,
while
area
characterized
by
very
concentrated
Dongchangfu
District
Guanxian
County.
With
gradual
increase
periods,
overall
medium-to-very-high-risk
areas
gradually
shrinks,
very-high-risk
moves
but
maintains
stable
rule.
Flood
an
important
basic
process
disaster
prevention
mitigation
cities,
provide
reference
similar
cities.
Buildings,
Год журнала:
2025,
Номер
15(2), С. 221 - 221
Опубликована: Янв. 13, 2025
Urban
green
development
is
crucial
for
citizen
well-being
and
serves
as
a
key
pillar
of
sustainable
strategies.
Collaborative
governance
mechanisms
help
address
management,
technical,
financial
challenges
in
urban
development.
The
renovation
old
residential
communities
within
the
context
renewal
becoming
focal
point
Chinese
cities.
To
promote
China,
this
study
introduces
collaborative
mechanism
government–social
capital
cooperation
identifies
factors
influencing
social
participation
A
hybrid
approach
proposed,
combining
grounded
theory,
IGAHP
subjective
weighting,
CRITIC
objective
game
ISM.
This
applied
to
identify,
evaluate,
analyze
driving
communities.
results
indicate
that
government
incentives
constraints,
policy
support,
costs
benefits
implementing
renovation,
technologies,
construction
technical
abilities
significantly
influence
decision-making
capital.
findings
provide
theoretical
support
by
governments
participating
offer
methodological
reference
analyzing
other
projects
further
formulation.
Future
research
should
focus
on
examining
involvement
types
projects.
Atmosphere,
Год журнала:
2023,
Номер
14(2), С. 281 - 281
Опубликована: Янв. 31, 2023
Climate-related
hazards
such
as
sand
and
dust
storms
(SDS)
have
various
impacts
on
human
health,
socio-economy,
environment,
agroecosystems.
Iran
has
been
severely
affected
by
domestic
external
SDS
during
the
last
two
decades.
Considering
fragile
economy
of
Iran’s
rural
areas
strong
dependence
livelihood
agroecosystems,
cause
serious
damage
to
communities.
Therefore,
there
is
an
urgent
need
conduct
a
vulnerability
assessment
for
developing
risk
mitigation
plans.
In
this
study,
components
were
formulated
through
geographic
information
system
(GIS)-based
integrated
approach
using
composite
indicators.
By
implementing
GIS
multiple-criteria
decision
analysis
(GIS-MCDA)
model
socioeconomic
remote
sensing
data,
map
was
produced.
Our
results
show
that
about
37%
experienced
high
very
levels
SDS.
Rural
in
southeast
south
Iran,
especially
Sistan
Baluchestan
Hormozgan
provinces
are
more
vulnerable
The
findings
study
provide
basis
disaster
risk-reduction
plans
enabling
authorities
prioritize
policies
at
provincial
administrative
scale
Iran.
