Water,
Год журнала:
2022,
Номер
14(1), С. 126 - 126
Опубликована: Янв. 5, 2022
Flash-flood
disasters
pose
a
serious
threat
to
lives
and
property.
To
meet
the
increasing
demand
for
refined
rapid
assessment
on
flood
loss,
this
study
exploits
geomatic
technology
integrate
multi-source
heterogeneous
data
put
forward
comprehensive
risk
index
(CRI)
calculation
with
fuzzy
evaluation
(FCE).
Based
mathematical
correlations
between
CRIs
actual
losses
of
in
Weifang
City,
direct
economic
loss
rate
(DELR)
model
agricultural
(AELR)
were
developed.
The
case
shows
that
CRI
system
can
accurately
reflect
level
flash-flood
disaster.
Both
models
are
capable
simulating
disaster
impacts.
results
generally
consistent
quantified
generated
from
simulation
close
losses.
spatial
resolution
is
up
100
×
m.
This
provides
method
high
temporal
resolution,
which
quickly
assess
rainstorm
disasters.
proposed
paper,
coupled
study,
reliable
reference
flash
floods
caused
will
be
helpful
existing
literature.
Environmental Research Communications,
Год журнала:
2024,
Номер
6(7), С. 075027 - 075027
Опубликована: Июль 1, 2024
Abstract
With
the
worldwide
growing
threat
of
flooding,
assessing
flood
risks
for
human
societies
and
associated
social
vulnerability
has
become
a
necessary
but
challenging
task.
Earlier
research
indicates
that
islands
usually
face
heightened
due
to
higher
population
density,
isolation,
oceanic
activities,
while
there
is
an
existing
lack
experience
in
island-focused
risk
under
complex
interactions
between
geography
socioeconomics.
In
this
context,
our
study
employs
high-resolution
hazard
data
principal
component
analysis
(PCA)
method
comprehensively
assess
exposure
Prince
Edward
Island
(PEI),
Canada,
where
limited
been
delivered
on
assessments.
The
findings
reveal
exposed
populations
are
closely
related
distribution
areas,
with
increasingly
severe
impact
from
current
future
climate
conditions,
especially
island’s
north
shore.
Exposed
buildings
exhibit
concentrated
at
different
levels
community
centers,
change
projected
significantly
worsen
building
compared
population,
possibly
urban
agglomeration
effect.
most
populated
cities
towns
show
highest
vulnerabilities
PEI,
results
reflect
relatively
less
economic
structure
islands.
Recommendations
management
coming
stage
include
necessity
particular
actions,
recognizing
centers
as
critical
sites
responses,
incorporating
hazards
into
planning
mitigate
impacts
continuous
urbanization
ecosystem
services
prevention.
Buildings,
Год журнала:
2023,
Номер
13(2), С. 506 - 506
Опубликована: Фев. 13, 2023
Flood
triggered
by
heavy
rains
and
typhoons
leads
to
extensive
damage
land
structures
putting
rural
communities
in
crucial
condition.
Most
of
the
studies
on
risk
assessment
focus
environmental
factors,
building
attributes
have
not
been
given
attention.
The
five
most
expensive
typhoon
events
Philippines
were
recorded
2008–2013,
causing
USD
138
million
costs.
This
indicates
lack
tool/s
that
would
aid
creation
appropriate
mitigation
measure/s
and/or
program/s
country
reduce
caused
flooding.
Hence,
this
study
highlights
a
structure
vulnerability
approach
employing
combination
analytical
hierarchy
process,
physical
attributes,
existing
flood
hazard
maps
local
government
unit.
available
layered
into
base
maps,
digitized
using
geographic
information
system.
result
is
an
essential
scale
map
indicating
index
correlated
structural
each
exposed
structure.
It
was
3094
community,
370
or
10.25%
found
be
at
moderate
risk,
(76.79%)
high
503
(12.94%)
very
risk.
unit
can
utilize
resulting
determine
priority
areas
plan
management
strategies
educate
people
improve
integrity
their
houses.
A
gives
idea
what
houses
natural
disasters.
Moreover,
provides
direction
for
future
loss
enhance
resiliency
against
Abstract
Compound
inland
flooding
(CIF)
arises
from
the
concurrent
interaction
of
multiple
hydrometeorological
drivers.
In
this
study,
we
characterize
key
CIF
events
across
North
America,
including
two
preconditioned
events,
rain‐on‐snow
(ROS)
and
saturation
excess
(SEF)
for
historical
baseline
conditions
global
warming
levels
1.5,
2,
4°C
relative
to
preindustrial
level.
Utilizing
high
emission
climate
scenario
(RCP8.5)
CanRCM4‐LE
with
50
members,
frequency
seasonality
compound
along
probability
these
leading
heavy
runoff,
role
external
forcing
internal
variability
are
assessed.
We
convert
identified
hazards
into
risk
by
integrating
them
exposure
vulnerability
components.
The
results
suggest
that
as
temperatures
increase,
overall
ROS
in
causing
significant
runoff
is
projected
decrease
compared
individual
rainfall.
Concurrently,
impact
SEF
occurrences
become
more
pronounced.
signal‐to‐noise
ratio
highlights
a
high‐confidence
change
signal
events;
however,
uncertainty
related
future
projections
joint
These
underscore
need
consider
mechanisms,
dynamics,
risks
associated
CIFs
within
systematic
approaches
flood
management.
The
assessment
and
mapping
of
riverine
flood
hazards
risks
is
recognized
by
many
countries
as
an
important
tool
for
characterizing
floods
developing
management
plans.
Often,
however,
these
plans
give
attention
primarily
to
open-water
floods,
with
ice-jam
being
mostly
afterthought
once
have
been
drafted.
In
some
Nordic
regions,
can
be
more
severe
than
floodwater
levels
often
exceeding
the
same
return
periods.
Hence,
it
imperative
that
flooding
due
river
ice
processes
considered
in
This
also
pertains
European
member
states
who
are
required
submit
renewed
every
six
years
governance
authorities.
On
19
20
October
2022,
a
workshop
entitled
“Assessing
mitigating
hazard
risk”
was
hosted
Poznań,
Poland
explore
necessity
incorporating
risk
assessments
Union’s
Flood
Directive.
presentations
given
at
provided
good
overview
Europe
how
they
may
change
climate
future.
Perspectives
from
Norway,
Sweden,
Finland,
Germany,
were
presented.
Mitigation
measures,
particularly
artificial
breakage
covers
forecasting,
shared.
Advances
presented
workshop,
including
state-of-the-art
developments
tracking
ice-floe
velocities
using
particle
velocimetry,
hanging
dam
ice,
designing
new
ice-control
structures,
detecting,
monitoring
composite
imagery
both
radar
optical
satellite
sensors,
calculating
stochastic
modelling
approach.
