Natural Hazards,
Год журнала:
2024,
Номер
120(5), С. 4053 - 4081
Опубликована: Янв. 4, 2024
Abstract
To
increase
the
resilience
of
communities
against
floods,
it
is
necessary
to
develop
methodologies
estimate
vulnerability.
The
concept
vulnerability
multidimensional,
but
most
flood
studies
have
focused
only
on
social
approach.
Nevertheless,
in
recent
years,
following
seismic
analysis,
physical
point
view
has
increased
its
relevance.
Therefore,
present
study
proposes
a
methodology
map
and
applies
using
an
index
at
urban
parcel
scale
for
medium-sized
town
(Ponferrada,
Spain).
This
based
multiple
indicators
fed
by
geographical
open-source
data,
once
they
been
normalized
combined
with
different
weights
extracted
from
Analytic
Hierarchic
Process.
results
show
raster
that
facilitates
future
emergency
risk
management
diminish
potential
damages.
A
total
22.7%
parcels
studied
value
higher
than
0.4,
which
considered
highly
vulnerable.
location
these
would
passed
unnoticed
without
use
open
governmental
datasets,
when
average
calculated
overall
municipality.
Moreover,
building
percentage
covered
water
was
influential
indicator
area,
where
simulated
generated
alleged
dam
break.
exceeds
spatial
constraints
collecting
this
type
data
direct
interviews
inhabitants
allows
working
larger
areas,
identifying
buildings
infrastructure
differences
among
parcels.
Infrastructures,
Год журнала:
2024,
Номер
9(7), С. 107 - 107
Опубликована: Июль 4, 2024
In
our
contemporary
cities,
infrastructures
face
a
diverse
range
of
risks,
including
those
caused
by
climatic
events.
The
availability
monitoring
technologies
such
as
remote
sensing
has
opened
up
new
possibilities
to
address
or
mitigate
these
risks.
Satellite
images
allow
the
analysis
terrain
over
time,
fostering
probabilistic
models
support
adoption
data-driven
urban
planning.
This
study
focuses
on
exploration
various
satellite
data
sources,
nighttime
land
surface
temperature
(LST)
from
Landsat-8,
well
ground
motion
derived
techniques
MT-InSAR,
Sentinel-1,
and
proximity
infrastructure
water.
Using
information
Local
Climate
Zones
(LCZs)
current
use
each
building
in
area,
economic
implications
any
changes
features
soil
are
evaluated.
Through
construction
Bayesian
Network
model,
synthetic
datasets
generated
identify
areas
quantify
risk
Barcelona.
results
this
model
were
also
compared
with
Multiple
Linear
Regression
concluding
that
provides
crucial
for
managers.
It
enables
adopting
proactive
measures
reduce
negative
impacts
reducing
eliminating
possible
disparities.
Natural Hazards,
Год журнала:
2024,
Номер
120(5), С. 4053 - 4081
Опубликована: Янв. 4, 2024
Abstract
To
increase
the
resilience
of
communities
against
floods,
it
is
necessary
to
develop
methodologies
estimate
vulnerability.
The
concept
vulnerability
multidimensional,
but
most
flood
studies
have
focused
only
on
social
approach.
Nevertheless,
in
recent
years,
following
seismic
analysis,
physical
point
view
has
increased
its
relevance.
Therefore,
present
study
proposes
a
methodology
map
and
applies
using
an
index
at
urban
parcel
scale
for
medium-sized
town
(Ponferrada,
Spain).
This
based
multiple
indicators
fed
by
geographical
open-source
data,
once
they
been
normalized
combined
with
different
weights
extracted
from
Analytic
Hierarchic
Process.
results
show
raster
that
facilitates
future
emergency
risk
management
diminish
potential
damages.
A
total
22.7%
parcels
studied
value
higher
than
0.4,
which
considered
highly
vulnerable.
location
these
would
passed
unnoticed
without
use
open
governmental
datasets,
when
average
calculated
overall
municipality.
Moreover,
building
percentage
covered
water
was
influential
indicator
area,
where
simulated
generated
alleged
dam
break.
exceeds
spatial
constraints
collecting
this
type
data
direct
interviews
inhabitants
allows
working
larger
areas,
identifying
buildings
infrastructure
differences
among
parcels.
