Under
global
warming,
the
increase
in
extreme
rainfall
events
has
led
to
a
significant
rise
frequency
of
urban
waterlogging
disasters,
and
major
cities
are
facing
severe
risks
waterlogging.
In
this
paper,
revised
"annual
maximum
method"
was
utilized
develop
intensity
formula
suitable
for
Xicen
Science
Technology
Innovation
Center
(XICEN).
Based
on
satellite
remote
sensing
data
SCS-CN
model,
we
evaluated
under
five
scenarios
with
return
periods
5a,
10a,
20a,
50a,
100a
through
inversion
method
critical
rainfall.
The
results
indicate
that
when
hourly
exceeds
50mm,
may
affect
entire
study
area.
Furthermore,
as
period
extends,
risk
also
increases.
scenario
5a
period,
is
mainly
categorized
mid-low
or
low
risk;
however,
XICEN
mid-high
levels.
These
findings
can
serve
references
disaster
response
future
construction
planning.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(21), P. 5250 - 5250
Published: Nov. 5, 2023
This
work
presents
a
framework
for
assessing
the
socio-physical
disruption
of
critical
infrastructure
accessibility
using
example
Greater
Jakarta,
metropolitan
area
Indonesian
city.
The
first
pillar
is
damage
quantification
based
on
real
flood
event
in
2020.
Within
this
pillar,
system
network
statistics
before
and
shortly
after
were
compared.
results
showed
that
impeded
access
to
facilities,
distorted
transport
connectivity,
increased
vulnerability.
Poverty
was
found
be
negatively
associated
with
surface
elevation,
suggesting
urbanization
flood-prone
areas
has
occurred.
second
simulation.
Our
simulations
identified
locations
clusters
are
more
vulnerable
loss
during
floods,
entire
can
applied
other
cities
urban
globally
adapted
account
different
disasters
physically
affect
infrastructure.
demonstrated
feasibility
vulnerability
assessment
relying
solely
open
publicly
available
data
tools.
framework,
which
uses
satellite
occurrence
floods
made
by
space
agencies
timely
manner,
will
allow
rapid
ex
post
investigation
consequences
disasters.
It
save
resources,
as
analysis
performed
single
person,
opposed
expensive
time-consuming
ground
surveys.
Ex
ante
help
communities,
planners,
emergency
personnel
better
prepare
future
shocks.
China,
a
country
prone
to
frequent
rainstorms,
faces
the
pervasive
threat
of
rainstorm
disasters
across
most
its
regions.
This
paper
aims
enhance
our
scientific
understanding
risks
and
impacts
associated
with
sudden,
extremely
heavy
disasters.
The
focus
research
is
on
scenario
construction,
incorporating
consideration
disaster
chains
utilizing
various
technologies
conduct
comprehensive
assessment
risks.
Within
realm
risk
assessment,
this
study
places
particular
emphasis
rainstorms.
"Scenario-Task-Capability"
methodology
employed
analyze
characteristics
these
scenarios.
In
"capability"
analysis,
chain
established,
an
evolution
network
model
for
events
formulated.
Taking
into
account
nature
sources,
regional
tolerance
capacity,
control
abilities,
among
other
factors,
time
series-based
developed.
validated
using
case
in
southwest
China.
findings
reveal
that
area
are
predominantly
medium
high
levels,
constituting
27.968%
28.101%
total
area,
respectively.
These
concentrated
middle-west
northeast
regions
area.
Low-risk
areas
cover
21.381%
primarily
located
central
part
dispersed
direction.
An
high-risk
encompassing
22.549%
scattered
northern
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 31, 2024
Abstract
A
thorough
understanding
of
mountain
hydrological
processes
and
a
careful
assessment
the
characteristics
coastal
watersheds
are
essential
for
managing
floods
effectively.
This
work
uses
RS
GIS
approaches
to
analyze
hydro-morphometric
aspects
in
Swarna
watershed.
Gaining
important
insights
into
flood
zone
through
integration
innovative
techniques
is
addressing
challenges
posed
by
climate
change
management
water
resources.
Finding
highest
priority
sub-watersheds
based
on
morphometric
traits,
potential
indicators,
land
use/land
cover
(LULC)
analysis
main
goal
current
study.
all-inclusive
approach
prioritizes
classifies
detected
considering
thirteen
different
characteristics,
such
as
linear,
areal,
relief
measurements.
Further,
improve
ranking
process,
study
also
incorporates
nine
LULC
features
two
indicators
potential.
Following
these
extensive
evaluations,
three
groupings
significance—high,
moderate,
low—have
been
established
sub-watersheds.
Within
high-priority
sub-watersheds,
SW5
SW6
designated
low
risk
high
groundwater
recharge,
while
SW1
SW2
high-risk
zones
recharge
areas.
These
developments
present
significant
opportunities
decision-makers,
providing
them
with
strong
foundation
formulating
implementing
efficient
watershed
plans.
Interdisciplinary
play
critical
role
properly
integrating
surface
harvesting
Techniques
including
artificial
structures,
check
dams,
rainwater
systems
merged
smoothly
conventional
protection
strategies.
The
long-term
welfare
communities
secured
strategies,
which
not
only
reduce
flooding
but
supply
ecosystem
sustainability.
Under
global
warming,
the
increase
in
extreme
rainfall
events
has
led
to
a
significant
rise
frequency
of
urban
waterlogging
disasters,
and
major
cities
are
facing
severe
risks
waterlogging.
In
this
paper,
revised
"annual
maximum
method"
was
utilized
develop
intensity
formula
suitable
for
Xicen
Science
Technology
Innovation
Center
(XICEN).
Based
on
satellite
remote
sensing
data
SCS-CN
model,
we
evaluated
under
five
scenarios
with
return
periods
5a,
10a,
20a,
50a,
100a
through
inversion
method
critical
rainfall.
The
results
indicate
that
when
hourly
exceeds
50mm,
may
affect
entire
study
area.
Furthermore,
as
period
extends,
risk
also
increases.
scenario
5a
period,
is
mainly
categorized
mid-low
or
low
risk;
however,
XICEN
mid-high
levels.
These
findings
can
serve
references
disaster
response
future
construction
planning.