The Only Path to Address Climate Change and Intensifying Drought: Global Interdisciplinary Cooperation
Atmosphere,
Год журнала:
2025,
Номер
16(4), С. 388 - 388
Опубликована: Март 28, 2025
Climate
change
is
having
an
accelerating
impact
on
the
Earth’s
arid
and
semi-arid
regions,
which
are
home
to
over
two
billion
people
[...]
Язык: Английский
Impact of Arable Land Abandonment on Crop Production Losses in Ukraine During the Armed Conflict
Remote Sensing,
Год журнала:
2024,
Номер
16(22), С. 4207 - 4207
Опубликована: Ноя. 12, 2024
The
outbreak
of
Russia-Ukraine
conflict
casted
an
impact
on
the
global
food
market,
which
was
believed
to
be
attributed
that
Ukraine
has
suffered
significant
production
losses
due
cropland
abandonment.
Nevertheless,
recent
outbreaks
farmer
protests
against
Ukraine’s
grain
exports
demonstrated
might
not
as
severe
previous
estimates.
By
utilizing
adaptive
threshold
segmentation
method
extract
abandoned
from
Sentinel-2
high-resolution
imagery
and
calibrating
spatial
allocation
model’s
gridded
crop
data
statistical
data,
this
study
explicitly
evaluated
crop-specific
heterogeneity.
results
estimated
area
in
ranges
2.34
2.40
million
hectares,
constituting
7.14%
7.30%
total
cropland.
In
Ukrainian-controlled
zones,
spans
1.44
1.48
whereas
Russian-occupied
areas,
it
varies
0.90
0.92
hectares.
Additionally,
for
wheat,
maize,
barley,
sunflower
amount
1.92,
1.67,
0.70,
0.99
tons,
respectively,
with
corresponding
loss
ratios
9.10%,
7.48%,
9.54%,
8.67%.
Furthermore,
emerged
both
eastern
southern
states
adjacent
frontlines,
while
maize
were
concentrated
western
states.
findings
imply
ought
streamline
transportation
channels
maintain
stable
agricultural
activities
regions
high
production.
Язык: Английский
Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model
Remote Sensing,
Год журнала:
2024,
Номер
16(22), С. 4132 - 4132
Опубликована: Ноя. 6, 2024
In
hydrological
modeling,
the
accuracy
of
precipitation
data
and
reflection
model’s
physical
mechanisms
are
crucial
for
accurately
describing
processes.
Identifying
reliable
sources
exploring
reasonable
evolution
hydrology
water
resources
research
in
high-altitude
mountainous
regions
with
sparse
stations
limited
constitute
a
significant
challenge
focus
field
hydrology.
This
study
focuses
on
Yarkant
River
Basin
Xinjiang,
which
originates
from
glaciers
contains
substantial
amount
meltwater
runoff.
A
dynamic
glacier
melt
module
considering
synergistic
effects
multiple
meteorological
factors
was
developed
integrated
into
original
Soil
Water
Assessment
Tool
(SWAT)
model.
Four
datasets
(ERA5-land,
MSWEP,
CMA
V2.0,
CHM-PRE)
were
selected
to
train
model,
including
remote
sensing
products
station-interpolated
data.
The
applicability
improved
SWAT
model
source
region
evaluated
analyzed
using
statistical
indicators,
characteristic
values,
watershed
runoff
simulation
effectiveness.
optimal
dataset
further
used
analyze
characteristics
basin.
results
revealed
following:
(1)
fills
gap
respect
more
closely
aligning
actual
variation
patterns
area,
better
process.
(2)
V2.0
has
best
area.
is
specifically
reflected
rationality
spatial
temporal
distribution
inverted
precipitation,
observed
capturing
events
characteristics,
goodness
fit
driving
models,
precision
reflecting
composition
runoff,
all
superior
those
pertaining
other
products.
(3)
calculated
informed
by
shows
that
during
period,
basin
formed
pattern
positive–negative
balance
demarcation
at
36.5°
N,
featuring
melting
higher
latitudes
accumulation
lower
latitudes.
this
importance
hydrometeorological
applications
region.
Язык: Английский