Abstract.
Developing
an
effective
and
reliable
integrated
drought
index
is
crucial
for
tracking
identifying
droughts.
The
study
employs
game
theory
to
create
a
spatially
variable
weight
(GTDI)
by
combining
two
single-type
indices:
the
agricultural
(SSMI),
which
implies
hazard-bearing
conditions,
meteorological
(SPEI),
hazard-causing
conditions.
Also,
entropy
theory-based
(ETDI)
induced
incorporate
spatial
comparison
GTDI
illustrate
rationality
of
gaming
integration.
Leaf
Area
Index
(LAI)
data
employed
confirm
reliability
in
comparing
it
with
SPEI,
SSMI,
ETDI.
Furthermore,
assessment
conducted
on
temporal
trajectories
evolution
GTDI-identified
discuss
GTDI’s
advancedness
monitoring
changes
bearing
impacts.
results
showed
that
has
greatly
high
correlation
indices
(SPEI
SSMI),
its
integration
more
logical
trustworthy
than
As
result,
outperforms
ETDI,
SSMI
recognizing
spatiotemporally,
projected
replace
provide
accurate
picture
actual
drought.
Additionally,
exhibits
feature,
indicating
distinct
benefit
case
studies
show
events
Wei
River
Basin
are
dominated
lack
precipitation.
SPEI
dominates
early
stages
event,
whereas
later
stages.
This
surely
serves
as
helpful
reference
development
well
regional
mitigation,
prevention,
monitoring.
Communications Earth & Environment,
Год журнала:
2024,
Номер
5(1)
Опубликована: Окт. 10, 2024
Drought
is
one
of
the
most
damaging
hydroclimatic
hazards,
impacting
environmental
systems
and
socioeconomic
sectors.
Therefore,
understanding
physical
mechanisms
that
cause
drought
events
critical
importance.
Here
we
investigate
influence
oceanic
continental
moisture
deficits
on
global
meteorological
in
recent
decades,
utilizing
a
Lagrangian
dispersion
model
to
track
origin
precipitation
leading
droughts.
Additionally,
between
1980
2018
were
segmented
based
three-dimension
algorithm
considering
spatial
extent,
duration,
magnitude
events.
Severe
exhibit
mixed
contribution
from
both
sources.
This
highlights
importance
types
severe
Comparative
analysis
across
time
periods
shows
consistent
pattern
dominant
deficits.
There
no
relevant
decadal
change
contributions
these
deficits,
which
implies
stability
prevalence
sources
driving
extreme
These
findings
offer
valuable
insights
into
factors
shaping
evolution.
Meteorological
are
influenced
by
sources,
with
regional
variations
deficit
origins
often
displaying
according
results
for
identifying
causes
droughts
2018.
Sustainability,
Год журнала:
2024,
Номер
16(5), С. 2212 - 2212
Опубликована: Март 6, 2024
In
order
to
analyze
the
temporal
and
spatial
evolution
of
meteorological
drought
explore
its
driving
factors,
inland
river
basin
Inner
Mongolia
(IMIRB)
was
taken
as
a
typical
research
area,
Standardized
Precipitation
Evapotranspiration
Index
(SPEI)
various
scales
calculated,
spatio-temporal
trend
change
characteristics
were
analyzed
combined
with
modified
Mann–Kendall
test
(MMK).
The
events
by
using
three-dimensional
identification
method,
dynamic
law
comprehensively
accurately.
effects
Pacific
Decadal
Oscillation
(PDO),
North
Atlantic
Multidecadal
(AMO),
Arctic
(AO),
El
Niño-Southern
(ENSO),
(NAO),
sunspot
on
investigated
cross
wavelet
method.
results
are
follows:
(1)
increase
SPEI
time
scale,
frequency
decreased,
but
duration
intensity
increased;
(2)
greatest
in
spring,
largest
number
areas
showing
significant
downward
SPEI,
strongest
persistence
intensity,
aridification
characteristics;
(3)
summer
droughts
had
area
high
smallest
areas,
winter
percentage
areas;
(4)
event
that
occurred
from
April
2017
December
most
serious,
reached
maximum
value
June
2017,
which
mainly
experienced
five
processes:
occurrence—intensification—attenuation—re-intensification—extinction;
(5)
atmospheric
circulation
factor,
sunspot,
IMIRB
correlated,
ENSO
effect
drought.
This
study
provides
effective
theoretical
support
for
prevention
disaster
reduction.
Water,
Год журнала:
2024,
Номер
16(3), С. 440 - 440
Опубликована: Янв. 29, 2024
Agricultural
drought
events
have
become
more
frequent
in
the
Inner
Mongolia
inland
river
basin
recent
years,
and
spatio-temporal
evolution
characteristics
development
rules
can
be
accurately
comprehensively
understood
using
three-dimensional
identification
method.
In
this
paper,
standardized
soil
moisture
index
(SSMI)
was
used
to
characterize
agricultural
drought,
modified
Mann–Kendall
trend
test
(MMK)
3D
recognition
of
were
analyze
reveal
law.
The
relationships
between
temperature
(T),
precipitation
(P),
evapotranspiration
(E),
humidity
(H)
analyzed
a
cross-wavelet
results
are
as
follows:
(1)
When
time
scale
short
(monthly
scale),
alternations
dry
wet
frequent,
but
SSMI
all
scales
showed
downward
trend;
(2)
spatial
distribution
change
four
seasons
similar,
area
with
significant
spring
largest,
high
frequency
region
also
most
obvious;
(3)
serious
event
occurred
from
October
2000
May
2002,
reached
its
maximum
value
September
2001
(drought
severity
2.26
×
105
km2
3.61
months·km2,
respectively),
which
mainly
experienced
five
processes—drought
onset–intensification–decay–re-intensification–termination—and
migration
path
center
southwest–northeast
transmission;
(4)
All
meteorological
factors
correlated
SSMI,
P
had
greater
impact
on
SSMI.
This
article
aims
basin,
provide
new
way
evaluate
drought.
