Abstract.
Classification
is
beneficial
for
understanding
flood
variabilities
and
their
formation
mechanisms
from
massive
event
samples
both
scientific
research
management
purposes.
Our
study
investigates
spatial
temporal
of
1446
unregulated
events
in
68
headstream
catchments
China
at
class
scale
using
hierarchical
partitional
clustering
methods.
Control
meteorological
physio-geographical
factors
(e.g.,
meteorology,
land
cover
catchment
attributes)
are
explored
individual
classes
constrained
rank
analysis
Monte
Carlo
permutation
test.
Results
show
that
we
identify
five
robust
classes,
i.e.,
moderately,
highly,
slightly
fast
floods,
as
well
moderately
highly
slow
which
accounts
24.0
%,
21.2
25.9
13.5
%
15.4
total
events,
respectively.
All
the
evenly
distributed
whole
period,
but
distributions
quite
distinct.
The
mainly
southern
China,
northern
transition
region
between
China.
category
plays
a
dominant
role
variabilities,
followed
by
attributes
covers.
Precipitation
factors,
such
volume
intensity,
aridity
index
significant
control
factors.
provides
insights
into
aids
prediction
control.
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: April 18, 2024
Abstract
In
recent
years,
Ghana,
particularly
the
inhabitants
of
Upper
East
Region,
has
experienced
profound
impact
flooding,
largely
attributable
to
complex
interplay
climatic
factors.
This
research
embarks
on
a
comprehensive
assessment
flood
risk
zones
nestled
within
White
Volta
basin,
situated
in
Region.
The
study
employs
advanced
cartographic
methodologies
and
uses
Geographic
Information
Systems
(GIS)
conjunction
with
Analytical
Hierarchy
Process
(AHP)
systematically
categorize
areas
susceptible
inundation.
Leveraging
geospatial
datasets
acquired
from
satellites
such
as
Landsat
Sentinel.
Topographic,
slope,
Land
Use/Land
Cover
(LULC)
maps
have
been
constructed.
empirical
findings
underscore
susceptibility
specific
regions,
including
Talensi
District,
territories
Bawku
West,
some
segments
Bolgatanga
Municipal
area,
escalated
risk.
Additionally,
underscores
high
vulnerability
communities
Nunku,
Tolla,
Zaare,
Pwalugu,
Balungu,
Winkongo,
Biung,
Tongo
negative
Significantly,
unveils
pivotal
factor
perpetuation
devastation—namely,
role
water
discharge.
intrinsic
linkage
between
discharge
rates
occurrences
pressing
need
address
this
critical
component
mitigation
strategies
reduce
adverse
impacts
basin's
resident
communities.
insights
derived
offer
level
hope
for
residents,
providing
essential
knowledge
concerning
flood-prone
optimal
timing
agricultural
activities
safeguard
their
cherished
livelihoods.
Evaluation
of
precipitation
events
is
essential
for
predicting
severe
droughts
and
floods,
particularly
in
the
context
global
warming.
We
concluded
a
comprehensive
temporal
spatial
evaluation
concentration
index
(CI),
quantified
contribution
rates
anomalies
atmospheric
circulation
patterns
to
CI,
investigated
CI'
relationship
with
drought
flood
using
standardized
(SPI)
across
rainstorm-prone,
arid,
transition
regions.
The
findings
are
as
follows:
1)
Globally,
CI
amounts
exhibited
similar
distributions,
analysis
indicating
an
increasing
trend
extreme
precipitation.
2)
Significant
variations
were
observed
influence
factors
on
different
Antarctic
Oscillation
(AAO)
predominantly
influenced
concentration.
3)
proved
effective
assessing
frequency
intensities,
but
should
not
serve
sole
indicator
floods;
complementary
indicators
necessary
likelihood.
This
study
enhances
our
understanding
provides
novel
insights
into
water
resources
management,
ecological
conservation,
river
basin
prevention
strategies.
Abstract.
Classification
is
beneficial
for
understanding
flood
variabilities
and
their
formation
mechanisms
from
massive
event
samples
both
scientific
research
management
purposes.
Our
study
investigates
spatial
temporal
of
1446
unregulated
events
in
68
headstream
catchments
China
at
class
scale
using
hierarchical
partitional
clustering
methods.
Control
meteorological
physio-geographical
factors
(e.g.,
meteorology,
land
cover
catchment
attributes)
are
explored
individual
classes
constrained
rank
analysis
Monte
Carlo
permutation
test.
Results
show
that
we
identify
five
robust
classes,
i.e.,
moderately,
highly,
slightly
fast
floods,
as
well
moderately
highly
slow
which
accounts
24.0
%,
21.2
25.9
13.5
%
15.4
total
events,
respectively.
All
the
evenly
distributed
whole
period,
but
distributions
quite
distinct.
The
mainly
southern
China,
northern
transition
region
between
China.
category
plays
a
dominant
role
variabilities,
followed
by
attributes
covers.
Precipitation
factors,
such
volume
intensity,
aridity
index
significant
control
factors.
provides
insights
into
aids
prediction
control.
Abstract.
Classification
is
beneficial
for
understanding
flood
variabilities
and
their
formation
mechanisms
from
massive
event
samples
both
scientific
research
management
purposes.
Our
study
investigates
spatial
temporal
of
1446
unregulated
events
in
68
headstream
catchments
China
at
class
scale
using
hierarchical
partitional
clustering
methods.
Control
meteorological
physio-geographical
factors
(e.g.,
meteorology,
land
cover
catchment
attributes)
are
explored
individual
classes
constrained
rank
analysis
Monte
Carlo
permutation
test.
Results
show
that
we
identify
five
robust
classes,
i.e.,
moderately,
highly,
slightly
fast
floods,
as
well
moderately
highly
slow
which
accounts
24.0
%,
21.2
25.9
13.5
%
15.4
total
events,
respectively.
All
the
evenly
distributed
whole
period,
but
distributions
quite
distinct.
The
mainly
southern
China,
northern
transition
region
between
China.
category
plays
a
dominant
role
variabilities,
followed
by
attributes
covers.
Precipitation
factors,
such
volume
intensity,
aridity
index
significant
control
factors.
provides
insights
into
aids
prediction
control.
