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.
Journal of Hydrology Regional Studies,
Год журнала:
2023,
Номер
46, С. 101329 - 101329
Опубликована: Фев. 2, 2023
Yangtze
River
Basin,
China
As
agricultural
drought
originates
from
meteorological
drought,
exploring
the
propagation
to
is
an
important
step
in
providing
early
warning
of
drought.
In
this
study,
Standardized
Precipitation
Index
(SPI)
and
Improved
Soil
Moisture
Anomaly
Percentage
(ISMAPI)
were
adopted
indicate
droughts,
respectively.
The
time
was
identified,
probabilistic
linkages
between
two
types
investigated
using
copula
function
Bayesian
network.
average
Basin
(YRB)
48
d.
times
summer
autumn
are
shorter
than
those
spring
winter.
occurrence
probability
more
serious
gradually
increases
with
intensity.
Agricultural
events
matched
proposed
event-matching
method.
YRB,
approximately
72.4%
may
translate
into
events.
Generally,
event
that
has
same
category
as
given
most
likely
occur.
Regional
differences
be
related
variations
climatic
conditions
across
regions.
Water Resources Research,
Год журнала:
2022,
Номер
58(9)
Опубликована: Авг. 25, 2022
Abstract
Meteorological
and
soil
drought
is
disastrous
to
natural
social
systems.
It
expected
that
the
occurrence
of
meteorological
compound
events
will
become
more
frequent
extreme
in
future.
The
propagation
process
plays
an
essential
role
drought.
However,
not
clear,
especially
quantification
characteristic
rarely
realized.
This
study
constructs
intensity
index
(DIP)
duration
(DDP),
then
puts
forward
partition
China.
Furthermore,
this
preliminarily
discussed
driving
factors
relationship
between
land‐atmosphere
interaction
main
(arid
type
area,
peer‐to‐peer
humid
area).
results
show
DDP
DIP
are
significantly
negatively
correlated
China
from
1981
2020.
From
southeast
northwest,
gradually
increased
decreased.
We
further
concluded
68%
regions
with
similar
(peer‐to‐peer
area)
concentrated
semiarid
dry
subhumid,
which
exactly
area
strong
interaction.
In
all
land
use
types,
grasslands
most
prone
reveals
law
mechanism
provides
a
new
idea
attempt
clarify
process.
Sustainability,
Год журнала:
2022,
Номер
14(3), С. 1519 - 1519
Опубликована: Янв. 28, 2022
Drought
is
one
of
the
most
complex
natural
phenomena
affecting
life
and
livelihood
people,
especially
in
current
time
human-induced
climate
change.
This
research
employs
ground-based
observations
to
assess
recent
spatiotemporal
characteristics
meteorological
drought
events
over
Rwanda.
The
examined
based
on
Standardized
Precipitation
Evapotranspiration
Index
(SPEI)
(SPI)
at
seasonal
annual
scales
from
1981
2020.
Man–Kendal
test
was
used
evaluate
trends
rainfall,
temperature,
SPEI
values
scale
during
March
May
(MAM)
October
December
(OND)
seasons.
analysis
revealed
nonsignificant
(8.4
mm/decade),
MAM
(−3.4
OND
(4.5
mm/decade)
while
an
apparent
significant
increasing
trend
surface
air
temperature
obtained
(0.19
°C/decade),
(0.2
(0.23
°C/decade)
slices.
Overall,
indicated
that
country
more
prone
moderate
than
severe
extreme
However,
intensity,
duration,
frequency
differ
spatially
among
findings
this
study
inform
policy
decision-makers
past
experienced
behavior,
which
can
serve
as
a
baseline
for
future
mitigation
adaptation
plans.
Regional Environmental Change,
Год журнала:
2023,
Номер
23(1)
Опубликована: Фев. 1, 2023
The
2018-2019
Central
European
drought
was
probably
the
most
extreme
in
Germany
since
early
sixteenth
century.
We
assess
multiple
consequences
of
for
natural
systems,
economy
and
human
health
German
part
Elbe
River
basin,
an
area
97,175
km2
including
cities
Berlin
Hamburg
contributing
about
18%
to
GDP.
employ
meteorological,
hydrological
socio-economic
data
build
a
comprehensive
picture
severity,
its
effects
cross-sectoral
basin.
Time
series
different
indices
illustrate
severity
how
it
progressed
from
meteorological
water
deficits
via
soil
depletion
towards
low
groundwater
levels
river
runoff,
losses
vegetation
productivity.
event
resulted
severe
production
agriculture
(minus
20-40%
staple
crops)
forestry
(especially
through
forced
logging
damaged
wood:
25.1
million
tons
2018-2020
compared
only
3.4
2015-2017),
while
other
economic
sectors
remained
largely
unaffected.
However,
there
is
no
guarantee
that
this
stability
will
be
sustained
future
events;
discussed
light
2022,
another
dry
year
holding
potential
compound
crisis.
Given
increased
probability
more
intense
long-lasting
droughts
parts
Europe,
example
actual
impacts
relevant
awareness
preparation
planning
regions.The
online
version
contains
supplementary
material
available
at
10.1007/s10113-023-02032-3.
