Journal of Physics Conference Series,
Год журнала:
2024,
Номер
2908(1), С. 012005 - 012005
Опубликована: Ноя. 1, 2024
Abstract
Over
169
people
along
the
Simangulampe
upstream
were
under
devastating
flood
and
worst
landslide
watches
in
December
2023
due
to
a
significant
storm
bringing
heaviest
rainfall
moving
giant
boulders.
Indeed,
there
are
far
fewer
studies
information
on
susceptibility
hazards
Simangalumpe
than
others.
First-rate
impressive
risk
mitigation
strategies
increased
climate-change
consideration
reduced
risk.
We
adopt
C-band
synthetic
aperture
radar
multispectral
imagery
from
Sentinel
identify,
visualize,
analyze
flash
mapping
mitigating
address
this
issue.
Precisely,
is
considered
surface
water
indices
with
various
parameters:
Normalized
Difference
Vegetation
Index
(NDVI),
Water
(NDWI),
Modified
NDWI
(MNDWI),
SAR
inundation
mapping.
Results
show
low
NDVI
values-
over
50
percent
of
plant
canopies
damaged
(uprooted
broken
trees)
upstream.
Combining
properties
index
shows
extent
bodies
Simagalumpe
covers
Finally,
developing
spatial
temporal
analysis
data
results
flooding
reducing
unnecessary
threats.
Remote Sensing,
Год журнала:
2024,
Номер
16(8), С. 1413 - 1413
Опубликована: Апрель 16, 2024
Global
warming
is
exacerbating
flood
hazards,
making
the
robustness
of
risk
management
a
critical
issue.
Without
considering
future
scenarios,
analysis
built
only
on
historical
knowledge
may
not
adequately
address
coming
challenges
posed
by
climate
change.
A
comprehensive
framework
based
both
inundations
and
projections
to
tackle
uncertainty
still
lacking.
In
this
view,
scenario-based,
data-driven
that
for
first
time
integrates
recent
floods
trends
here
presented,
consisting
inundation-prone
high-risk
zones.
Considering
Poyang
Lake
Eco-Economic
Zone
(PLEEZ)
in
China
as
study
area,
we
reproduced
inundation
scenarios
major
events
using
Sentinel-1
imagery
from
2015
2021,
used
them
build
baseline
model.
The
results
show
11.7%
PLEEZ
currently
exposed
zone.
SSP2-RCP4.5
scenario,
would
gradually
decrease
after
peaking
around
2040
(with
19.3%
increase
areas),
while
under
traditional
fossil
fuel-dominated
development
pathway
(SSP5-RCP8.5),
peak
occur
with
higher
intensity
about
decade
earlier.
attribution
reveal
intensification
heavy
rainfall
dominant
driver
exploitation
unused
land
such
wetlands
induces
significant
risk.
Finally,
hierarchical
panel
recommended
measures
was
developed.
We
hope
our
inspires
newfound
awareness
provides
basis
more
effective
river
basins.
Environmental Research Letters,
Год журнала:
2024,
Номер
19(10), С. 104033 - 104033
Опубликована: Авг. 22, 2024
Abstract
In
recent
decades,
global
rapid
urbanization
has
exacerbated
the
impacts
of
natural
hazards
due
to
changes
in
Southeast
Asia’s
environmental,
hydrological,
and
socio-economic
conditions.
Confounding
non-stationary
processes
climate
change
warming
their
negative
can
make
more
complex
severe,
particularly
Vietnam.
Such
complexity
necessitates
a
study
that
synthesize
multi-dimensional
natural-human
factors
disaster
risk
assessments.
This
synthesis
aims
assess
monitor
land-cover/land-use
on
flood
landslide
Vietnam’s
Gianh
River
basin.
Three
Deep
Neural
Network
(DNN)
optimization
algorithms,
including
Adam,
Tunicate
Swarm
Algorithm
(TSA),
Dwarf
Mongoose
Optimization
(DMOA)
were
used
determine
regions
with
probability
occurrence
combination.
All
efficiently
evaluated
hazard
susceptibility
based
analysis
encompassing
14
anthropogenic
conditioning
factors.
Of
three,
(DNN)-DMOA
model
performed
best
for
both
susceptibility,
area-under-curve
values
0.99
0.97,
respectively,
followed
by
DNN-TSA
(0.97
flood,
0.92
landslide),
DNN-Adam
(0.96
0.89
landslide).
Although
area
affected
flooding
is
predicted
decrease,
overall
trend
total
hazard-prone
areas
increases
over
2005–2050
extensive
landslides.
develop
demonstrate
robust
framework
multi-hazard
taking
into
account
land-use
influence
multiple
hazards.
Based
quantitative
assessment,
these
findings
help
policymakers
understand
identify
confounding
issues
proactive
land-management
approaches
effective
mitigation
or
adaptation
strategies
are
spatially
temporally
appropriate.
Journal of Physics Conference Series,
Год журнала:
2024,
Номер
2908(1), С. 012005 - 012005
Опубликована: Ноя. 1, 2024
Abstract
Over
169
people
along
the
Simangulampe
upstream
were
under
devastating
flood
and
worst
landslide
watches
in
December
2023
due
to
a
significant
storm
bringing
heaviest
rainfall
moving
giant
boulders.
Indeed,
there
are
far
fewer
studies
information
on
susceptibility
hazards
Simangalumpe
than
others.
First-rate
impressive
risk
mitigation
strategies
increased
climate-change
consideration
reduced
risk.
We
adopt
C-band
synthetic
aperture
radar
multispectral
imagery
from
Sentinel
identify,
visualize,
analyze
flash
mapping
mitigating
address
this
issue.
Precisely,
is
considered
surface
water
indices
with
various
parameters:
Normalized
Difference
Vegetation
Index
(NDVI),
Water
(NDWI),
Modified
NDWI
(MNDWI),
SAR
inundation
mapping.
Results
show
low
NDVI
values-
over
50
percent
of
plant
canopies
damaged
(uprooted
broken
trees)
upstream.
Combining
properties
index
shows
extent
bodies
Simagalumpe
covers
Finally,
developing
spatial
temporal
analysis
data
results
flooding
reducing
unnecessary
threats.
