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.
Agronomy,
Год журнала:
2024,
Номер
14(9), С. 1987 - 1987
Опубликована: Сен. 2, 2024
Meteorological
and
agricultural
droughts
are
inherently
correlated,
whereas
the
propagation
mechanism
between
them
remains
unclear
in
Northwestern
China.
Investigating
linkages
these
drought
types
identifying
potential
influencing
factors
is
crucial
for
effective
water
resource
management
mitigation.
This
study
adopted
Standardized
Precipitation
Evapotranspiration
Index
(SPEI)
Soil
Moisture
(SSMI)
to
characterize
meteorological
from
1960
2018.
The
time
was
detected
using
Pearson
correlation
analysis,
cross-wavelet
transform
wavelet
cross-correlation
were
utilized
describe
their
across
time–frequency
scales.
grey
relational
analysis
applied
explore
time.
results
revealed
that
typically
lagged
behind
by
an
average
of
6
months
China,
with
distinct
seasonal
regional
characteristics.
shortest
occurred
summer
(3
months),
followed
autumn
(4
longer
winter
(8
months)
spring
(9
months).
Additionally,
plateau
climate
zone
than
southeastern
(6
westerly
There
a
multi-timescale
response
droughts,
relatively
stable
significant
positive
over
long
timescales,
less
clear
short
timescales.
key
soil
moisture,
elevation,
precipitation,
evapotranspiration.
Furthermore,
high,
lag
0
3
months;
as
timescale
increased,
fluctuation
period
also
increased.
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.
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.
