Investigating the Characteristics and Drivers of Slow Droughts and Flash Droughts: A Multi‐Temporal Scale Drought Identification Framework
Water Resources Research,
Год журнала:
2025,
Номер
61(2)
Опубликована: Фев. 1, 2025
Abstract
Global
climate
change
has
altered
the
characteristics
of
conventional
drought
events,
with
an
increasing
number
Slow
droughts
(SD)
rapidly
transitioning
into
Flash
(FD).
This
study
introduces
a
novel
multi‐temporal
scale
identification
framework
(MTSDIF)
that
classifies
historical
agricultural
events
three
types:
SD,
FD,
and
Slow‐to‐Flash
Drought
(SFD).
Based
on
MTSDIF,
GLDAS‐Noah
root
zone
soil
moisture
dataset
was
used
to
analyze
spatiotemporal
characteristics,
evolution,
driving
factors
in
China.
Our
confirms
effectiveness
proposed
MTSDIF
classifying
different
onset
speeds
(SD,
SFD).
The
results
indicate
that,
from
1980
2020,
types
China
exhibited
short‐term,
medium‐term,
long‐term
periodic
oscillations.
Before
2000,
SD
were
predominant
type
China,
but
post‐2000,
areas
affected
by
FD
SFD
have
been
continuously
expanding.
Compared
key
meteorological
elements
influencing
show
anomalies
exceeding
0.5
times
standard
deviation.
In
southeastern
regions
human‐impacted
soils,
leached
incept
soils
exhibit
higher
response
frequency
FD.
Sea
surface
temperature
indices,
including
interannual
El
Niño‐Southern
Oscillation
Pacific
interdecadal
variations
such
as
+PDO
−AMO,
significantly
influence
occurrence
monsoon
(
p
<
0.01).
Together,
highlight
necessity
understanding
disparities
consistencies
land‐atmosphere‐ocean
mechanisms
behind
varying
speeds.
Язык: Английский
From meteorological to agricultural drought: Propagation time and influencing factors over diverse underlying surfaces based on CNN-LSTM model
Ecological Informatics,
Год журнала:
2024,
Номер
82, С. 102681 - 102681
Опубликована: Июнь 17, 2024
As
global
warming
intensifies
and
extreme
weather
events
become
more
frequent,
the
severity
of
drought
conditions
in
China's
Xinjiang
region
has
escalated.
This
exacerbates
socio-economic
pressures
area
presents
increasingly
formidable
challenges
for
future.
In
response
to
these
challenges,
researching
phenomena
is
imperative.
study
employs
Bayesian
methods
copula
functions
estimate
propagation
time.
It
utilizes
a
hybrid
deep
learning
model
(CNN-LSTM)
analyze
process
its
influencing
factors
across
four
land
cover
types:
crops,
forest
land,
grassland,
unused
land.
The
findings
indicate
that
Cropland
experiences
longest
average
time
(5.27
months),
while
forests
have
shortest
duration
(4.2
months).
Unused
grassland
exhibit
similar
durations
(4.8
On
an
annual
scale,
each
type
manifests
two
phases:
from
January
May
June
December.
former
phase
shows
ranging
6
9
months,
latter
ranges
1
5
months;
both
demonstrate
increasing
trend
over
Seasonally,
all
Land
Cover
Types
pattern
shorter
times
summer
autumn
compared
with
winter
spring.
Moreover,
longer
correlates
greater
disparity
between
meteorological
resultant
agricultural
severity.
analyzing
influence
on
propagation,
soil
moisture
content
El
Niño-Southern
Oscillation(ENSO)
were
found
significantly
impact
Types,
progressively
strengthening
their
years.
Язык: Английский
Nonlinear propagation of meteorological to hydrological drought: Contrasting dynamics in humid and semi-arid regions
Journal of Hydrology,
Год журнала:
2025,
Номер
unknown, С. 133012 - 133012
Опубликована: Март 1, 2025
Язык: Английский
Analysis of water resources carrying capacity and obstacle factors in Gansu section of the Wei River basin using combined weighting TOPSIS model
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 14, 2025
Abstract
Water
resource
carrying
capacity
is
an
important
indicator
for
measuring
sustainable
development.
Given
the
rapid
economic
and
social
development
in
China
today,
coordinating
of
water
resources,
socio-economy,
eco-environment
has
become
urgent
problem
to
be
solved.
This
study
takes
Gansu
section
Wei
River
mainstream
basin
(GWRB)
as
a
case
constructs
three-dimensional
WRCC
evaluation
system
status
standards.
Based
on
this
research
framework,
we
analyzed
trends
changes
GWRB
from
2008
2022.
Additionally,
conducted
in-depth
internal
relationships
influencing
factors
within
system.
The
results
show
that
combination
weighting
method
multi-weight
models
avoids
one-sidedness
single
weighting,
leading
more
realistic
distribution
weights.
result
standard
derived
prevents
disconnect
between
status,
making
rational
accurate.
increased
0.098
(overloaded)
0.621
(weakly
bearable)
During
period,
eco-environmental
improved
critical
bearable,
while
socio-economic
overloaded
weakly
bearable.
Due
geographical
climatic
limitations,
continued
bear
significant
pressure
remained
state
most
time.
key
limiting
further
improvement
are
per
capita
utilization
rate
COD
emission
10,000
yuan
GDP,
ecological
use
rate,
consumption
GDP
agricultural
rate.
To
improve
WRCC,
propose
series
targeted
recommendations
based
findings.
proposed
framework
can
also
serve
reference
related
studies
arid
semi-arid
regions.
Язык: Английский
Quantifying the effects of direct human activities and climate change on the spatial propagation of hydrological drought in the Yellow River Basin, China
Meng Du,
Shengzhi Huang,
Vijay P. Singh
и другие.
Journal of Hydrology,
Год журнала:
2024,
Номер
643, С. 131931 - 131931
Опубликована: Сен. 1, 2024
Язык: Английский
Impact of human activities on the propagation dynamics from meteorological to hydrological drought in the Nenjiang River Basin, Northeast China
Journal of Hydrology Regional Studies,
Год журнала:
2025,
Номер
58, С. 102214 - 102214
Опубликована: Фев. 6, 2025
Язык: Английский
Delineating dynamic hydrological response units to improve simulations of extreme runoff events in changing environments
Journal of Hydrology,
Год журнала:
2025,
Номер
unknown, С. 133000 - 133000
Опубликована: Март 1, 2025
Язык: Английский
Accelerated Atmospheric to Hydrological Spread of Drought in the Yangtze River Basin under Climate
Remote Sensing,
Год журнала:
2024,
Номер
16(16), С. 3033 - 3033
Опубликована: Авг. 18, 2024
Persistent
droughts
pose
a
threat
to
agricultural
production,
and
the
changing
environment
worsens
risk
of
drought
exposure.
Understanding
propagation
in
environments
assessing
possible
impact
factors
can
help
early
detection
drought,
guiding
production
practices.
The
current
study
cannot
reflect
status
total
terrestrial
hydrological
so
this
work
creatively
investigated
atmospheric
time
Yangtze
River
Basin
under
dynamic
static
perspectives
based
on
Standardized
Precipitation
Evapotranspiration
Index
Terrestrial
Water
Storage
Anomalous
Drought
Index,
fine-tuned
scale
seasonal
scale,
explored
contributing
capacity
variable
interactions.
results
show
that:
(1)
perspective,
while
is
decreasing
annual
spring
season
shows
opposite
trend;
(2)
large
variability
exists
timing
at
spatial
scales,
with
elevation
playing
most
important
influential
role,
bivariate
interactions
stronger
explanations
compared
single
variables.
This
highlights
importance
considering
contributes
our
understanding
response
secondary
upper-level
droughts,
providing
valuable
insights
into
hydrologic
drought.
Язык: Английский