Proceedings of the National Academy of Sciences,
Journal Year:
2024,
Volume and Issue:
121(3)
Published: Jan. 8, 2024
What
explains
human
consequences
of
weather-related
disaster?
Here,
we
explore
how
core
socioeconomic,
political,
and
security
conditions
shape
flood-induced
displacement
worldwide
since
2000.
In-sample
regression
analysis
shows
that
extreme
levels
are
more
likely
in
contexts
marked
by
low
national
income
levels,
nondemocratic
political
systems,
high
local
economic
activity,
prevalence
armed
conflict.
The
also
reveals
large
residual
differences
across
continents,
where
the
Global
South
often
is
much
widespread
than
direct
exposure
measures
would
suggest.
However,
these
factors
have
limited
influence
on
our
ability
to
accurately
predict
flood
new
data,
pointing
important,
hard-to-operationalize
heterogeneity
impacts
critical
data
limitations.
Although
results
consistent
with
an
interpretation
sustainable
development
agenda
beneficial
for
disaster
risk
reduction,
better
societal
natural
hazards
critically
needed
support
evidence-based
decision-making.
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(14), P. 8837 - 8837
Published: July 21, 2022
In
recent
decades,
climate
change
is
exacerbating
meteorological
disasters
around
the
world,
causing
more
serious
urban
flood
disaster
losses.
Many
solutions
in
related
research
have
been
proposed
to
enhance
adaptation
change,
including
flooding
simulations,
risk
reduction
and
flood-resistance
capacity.
this
paper
we
provide
a
thorough
review
of
flood-resilience
using
scientometric
systematic
analysis.
Using
Cite
Space
VOS
viewer,
conducted
analysis
quantitively
analyze
papers
from
Web
Science
Core
Collection
1999
2021
with
resilience
as
keyword.
We
systematically
summarize
relationship
resilience,
co-citation
keywords,
authors,
institutions,
countries,
trends.
The
results
show
that
four
stages
can
be
distinguished
indicate
evolution
different
keywords
management
1999,
has
become
hotspot
significant
increase
globally
since
2015.
methods
progress
these
fields
are
analyzed,
planning,
system
flood-simulation
models.
Climate
high
interest
research.
Urban
planning
systems
differ
terms
human
involvement
local
policies,
while
dynamic
factors
need
jointly
described.
Models
mostly
evaluated
indicators,
comprehensive
studies
based
on
traditional
models
needed
for
multi-level
higher
performance
Consequently,
about
policies
dynamics
within
global
areas
combined
fine
simulation
future,
improving
concept
applied
flood-risk-management
assessment.
