The
cascading
impact
of
disastrous
events
has
become
an
important
focus
disaster
research.
In
recent
years,
forest
fires
have
occurred
frequently
in
China,
causing
huge
economic
losses.
Studying
the
impacts
drought
and
fire
is
great
significance
for
reducing
risks.
Taking
Yunnan
Province
China
as
example,
meteorological
data
point
from
2005
to
2018
were
collected
statistically
analyzed.
A
Bayesian
network
model
was
established,
enabling
prior
probability
conditional
nodes
be
determined.
Based
on
this
information,
a
prediction
established
using
causal
reasoning.
Finally,
case
test,
Brier
score
used
test
accuracy
model.
value
0.305,
which
less
than
qualified
threshold
0.6.
results
indicated
that
study
had
good
performance,
basically
consistent
with
facts.
provide
insight
into
mechanism
by
induced
occur
will
use
prevention
work.
Land,
Journal Year:
2025,
Volume and Issue:
14(1), P. 108 - 108
Published: Jan. 8, 2025
Cropland
resilience
is
the
ability
of
cropland
systems
to
adapt
and
rebound
from
multiple
stresses
disturbances.
vital
for
ensuring
national
food
security,
promoting
sustainable
agricultural
development,
adapting
global
climate
change.
This
study
measures
in
China
using
entropy
method
within
PSR
framework.
Additionally,
it
employs
quantitative
analysis
methods,
including
kernel
density
estimation,
standard
deviation
ellipse,
Theil
Index,
geographical
detector,
systematically
examine
spatiotemporal
dynamics
its
driving
factors
China.
The
findings
reveal
evolving
trends
over
time
space,
highlighting
regional
differences
spatial
distribution
resilience.
found
following:
(1)
overall
shows
an
upward
trend,
but
there
uneven
development
among
regions,
particularly
relatively
lagging
western
areas.
(2)
There
a
notable
imbalance
resilience,
primarily
driven
by
intra-regional
differences.
(3)
Stability
Grain
Production;
Total
Fiscal
Expenditure
on
Agriculture,
Forestry,
Water;
Soil–Water
Harmony;
Disaster
Resistance
Index
are
identified
as
key
factors,
with
influence
notably
increasing
time.
(4)
highlights
critical
role
synergistic
effects
these
enhancing
noting
significant
strengthening
synergies
research
results
offer
fresh
perspective
dynamic
environments.
They
enhance
our
understanding
characteristics
underlying
processes,
provide
scientific
basis
policymaking
aimed
at
use
management
cropland.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(10), P. 7803 - 7803
Published: May 10, 2023
Drought
is
considered
a
natural
hazard
and
has
become
recurrent
phenomenon
in
Algeria
since
the
1970s.
characterized
by
three
different
climates,
namely,
sub-humid,
semi-arid
arid
climates.
In
this
study,
we
aimed
to
spatiotemporally
assess
drought
hazard,
vulnerability
risk
climates
of
sub-basins,
Seybouse
Maritime,
Wadi
Djelfa-Hadjia
M’Zi
sub-basins.
To
end,
standardized
precipitation
index
(SPI)
reconnaissance
(RDI)
were
used
evaluate
physical
characteristics
on
12-month
timescale,
based
temperature
monthly
data
covering
period
1979–2019.
High
values
coefficient
determination
(R2)
(0.76–0.99)
confirmed
low
root-mean-square
error
(RMSE)
(0.08–0.49)
proved
that
indices
displayed
high
correlation.
evaluated
socioeconomic
aspects,
respectively.
The
results
led
correlation
between
two
used;
main
events;
mapping
using
geographic
information
system
(GIS).
These
findings
suggest
SPI
provided
highest
intensities,
while
longest
periods
strongest
magnitudes
given
RDI.
spatiotemporal
distributions
varied
with
time
from
station
sub-basin
sub-basin.
Risk
maps
revealed
factors
controls
risk.
Earth and Space Science,
Journal Year:
2024,
Volume and Issue:
11(3)
Published: March 1, 2024
Abstract
We
study
vertical
ground
displacement
time
series
from
Global
Navigation
Satellite
System
(GNSS)
stations
to
measure
deformation
associated
with
hydrological
drought
in
the
Po
river
basin.
Focusing
on
interannual
trend
changes,
rather
than
seasonal
(annual)
components,
we
found
a
clear
spatially
correlated
signal
that
is
temporally
(anti)correlated
changes
level
and
SPEI‐12
index,
moving
upward
during
periods
of
river/index
decrease
vice
versa.
In
2021–2022
span,
which
culminated
most
severe
last
two
centuries,
estimate
amount
spatial
distribution
water
loss
basin
its
surroundings.
Excluding
signals,
between
January
2021
August
2022,
GNSS
underwent
uplift,
up
7
mm,
corresponds
∼70
Gtons
loss.
Compared
Land
Data
Assimilation
Gravity
Recovery
Climate
Experiment
estimates,
results
show
similar
temporal
evolution
content
but
more
heterogeneous
values.
continuous
networks
provide
an
effective
way
monitor
multiannual
storage
even
small
basins
serve
as
reliable
indicator
severity.
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(7), P. 1115 - 1115
Published: March 21, 2025
Analyzing
the
spatiotemporal
characteristics
of
meteorological
droughts
(MD)
and
agricultural
(AD)
their
propagation
in
different
climate
zones
is
important
for
effective
drought
management,
adaptation,
food
security.
This
study
takes
a
unique
approach
by
comparing
irrigated
rainfed
croplands.
A
comprehensive
framework
developed
using
indices,
statistical
analysis,
trend
tests,
wavelet
transforms.
The
evolution
patterns,
trends,
correlations
MD
AD
Xinjiang
Middle-lower
Yangtze
Plain
(MYP)
are
investigated.
main
results
showed
that
severe
events
(e.g.,
2005–2009
MYP
2004–2009)
significantly
impacted
systems,
leading
to
decline
vegetation
condition.
Long-term
irrigation
can
substantially
alleviate
under
conditions.
From
2000
2019,
on
croplands
continuously
improved,
while
deteriorated
during
events.
In
contrast,
although
overall
was
mitigated,
benefits
were
only
evident
periods
weakened
after
2013.
Correlation
analyses
revealed
mechanisms
between
croplands,
highlighting
key
role
local
conditions
spatial
heterogeneity
determining
efficiency.
findings
provide
guidance
optimizing
management
strategies,
planning,
sustainable
water
resource
management.
Water,
Journal Year:
2024,
Volume and Issue:
16(3), P. 440 - 440
Published: Jan. 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.
International Journal of Disaster Risk Reduction,
Journal Year:
2024,
Volume and Issue:
111, P. 104716 - 104716
Published: Aug. 3, 2024
The
cascading
impact
of
disastrous
events
has
become
an
important
focus
disaster
research.
In
recent
years,
forest
fires
have
occurred
frequently
in
China,
causing
huge
economic
losses.
Studying
the
impacts
drought
and
fire
is
great
significance
for
reducing
risks.
Taking
Yunnan
Province
China
as
example,
meteorological
data
point
from
2005
to
2018
were
collected
statistically
analyzed.
A
Bayesian
network
model
was
established,
enabling
prior
probability
conditional
nodes
be
determined.
Based
on
this
information,
a
prediction
established
using
causal
reasoning.
Finally,
case
test,
Brier
score
used
test
accuracy
model.
value
0.305,
which
less
than
qualified
threshold
0.6.
results
indicated
that
study
had
good
performance,
basically
consistent
with
facts.
provide
insight
into
mechanism
by
induced
occur
will
use
prevention
work.
Remote Sensing,
Journal Year:
2023,
Volume and Issue:
15(10), P. 2582 - 2582
Published: May 15, 2023
Reference
evapotranspiration
(ET0)
is
one
of
the
significant
parameters
in
agricultural
irrigation,
especially
Heilongjiang,
a
big
province
China.
In
this
research,
spatiotemporal
variation
characteristics
(ET),
relative
moisture
index
(MI)
and
influencing
factors
ET0
which
was
divided
into
six
ecology
districts
according
to
landforms,
were
analyzed
with
meteorological
data
observed
over
40
years
from
1980
MOD16
products
2000
2017
using
Morlet
wavelet
analysis
partial
correlation
analysis.
The
results
indicated
that
(1)
spatial
distribution
ET
PET
Heilongjiang
humid,
normal
arid
showed
being
higher
southwest
lower
northwest,
south
north.
than
2002
2017,
difference
small,
indicating
overall
sufficient
these
years.
(2)
last
years,
increased
while
annual
MI
decreased.
minimum
regions
−0.25,
showing
all
drought
free.
(3)
importance
affecting
ranked
as
average
humidity
>
wind
speed
sunshine
duration.
This
research
provides
scientific
guidance
for
study
remote
sensing
reverse
ET.
Water,
Journal Year:
2024,
Volume and Issue:
16(17), P. 2500 - 2500
Published: Sept. 3, 2024
Drought,
characterized
by
frequent
occurrences,
an
extended
duration,
and
a
wide
range
of
destruction,
has
become
one
the
natural
disasters
posing
significant
threat
to
both
socioeconomic
progress
agricultural
livelihoods.
Large-scale
geographical
environments
often
exhibit
obvious
spatial
heterogeneity,
leading
differences
in
drought’s
development
outcomes.
However,
traditional
drought
monitoring
models
have
not
taken
into
account
impact
regional
heterogeneity
on
drought,
resulting
evaluation
results
that
do
match
actual
situation.
In
response
above-mentioned
issues,
this
study
proposes
establishment
ecological–geographic
zoning
adapt
spatially
stratified
heterogeneous
characteristics
large-scale
monitoring.
First,
based
principles
ecological
zoning,
appropriate
index
system
was
selected
carry
out
for
Yunnan
Province.
Second,
using
data
from
NASA’s
Moderate
Resolution
Imaging
Spectroradiometer
(MODIS)
Tropical
Rainfall
Measuring
Mission
(TRMM)
3B43,
vegetation
condition
(VCI),
temperature
(TCI),
precipitation
(TRCI),
three
topographic
factors
including
digital
elevation
model
(DEM),
slope
(SLOPE),
aspect
(ASPECT)
were
as
parameters.
Multiple
linear
regression
then
used
establish
integrated
frameworks
at
different
eco–geographical
scales.
Finally,
standardized
evapotranspiration
(SPEI)
evaluate
effects
model,
spatiotemporal
variation
patterns
winter
spring
droughts
Province
2008–2019
further
analyzed.
The
show
(1)
compared
non-zonal
models,
constructed
higher
correlation
greater
accuracy
with
SPEI
(2)
experiences
periodic
seasonal
patterns,
being
peak
period
occurrence
moderate
light
main
types
Therefore,
we
believe
can
better
characteristics,
zonal
more
effectively
identify
large
regions.
This
research
finding
provide
reference
formulation
policies
