A Future Scenario Prediction for the Arid Inland River Basins in China Under Climate Change: A Case Study of the Manas River Basin
Fuchu Zhang,
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Xinlin He,
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Guang Yang
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et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3658 - 3658
Published: April 18, 2025
Global
warming
poses
significant
threats
to
agriculture,
ecosystems,
and
human
survival.
This
study
focuses
on
the
arid
inland
Manas
River
Basin
in
northwestern
China,
utilizing
nine
CMIP6
climate
models
five
multi-model
ensemble
methods
(including
machine
learning
algorithms
such
as
random
forest
support
vector
machines)
evaluate
historical
temperature
precipitation
simulations
(1979–2014)
after
bias
correction
via
Quantile
Mapping
(QM).
Future
trends
(2015–2100)
under
three
Shared
Socioeconomic
Pathways
(SSP1-2.6,
SSP2-4.5,
SSP5-8.5)
are
projected
analyzed
for
spatiotemporal
evolution.
The
results
indicate
that
weighted
set
method
(WSM)
significantly
improves
simulation
accuracy
excluding
poorly
performing
models.
Under
SSP1-2.6,
long-term
average
increases
maximum
temperature,
minimum
1.654
°C,
1.657
34.137
mm,
respectively,
with
minimal
variability.
In
contrast,
SSP5-8.5
exhibits
most
pronounced
warming,
reaching
4.485
4.728
60.035
respectively.
Notably,
rise
gradually
surpasses
indicating
a
shift
toward
warmer
more
humid
conditions
basin.
Spatially,
high
rates
concentrated
low-altitude
desert
areas,
while
correlate
elevation.
These
findings
provide
critical
insights
adaptation
strategies,
sustainable
water
resource
management,
ecological
conservation
China’s
river
basins
future
change.
Language: Английский
Assessing Watershed Flood Resilience Based on a Grid-Scale System Performance Curve That Considers Double Thresholds
Xin Su,
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Leizhi Wang,
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Lingjie Li
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et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 9101 - 9101
Published: Oct. 21, 2024
Enhancing
flood
resilience
has
become
crucial
for
watershed
prevention.
However,
current
methods
quantifying
often
exhibit
coarse
spatiotemporal
granularity,
leading
to
insufficient
precision
in
assessments
and
hindering
the
accurate
implementation
of
enhancement
measures.
This
study
proposes
a
assessment
method
based
on
system
performance
curve
that
considers
thresholds
inundation
depth
duration.
A
nested
one-
two-dimensional
coupled
hydrodynamic
model,
spanning
two
spatial
scales,
was
utilized
simulate
processes
plain
river
network
areas
with
detailed
complex
hydraulic
connections.
The
proposed
framework
applied
Hangjiahu
area
(Taihu
Basin,
China).
results
indicated
overall
trend
curves
across
different
underlying
surfaces
initially
decreased
then
increase,
significant
decline
observed
within
20–50
h.
paddy
fields
forests
highest,
while
drylands
grasslands
lowest,
but
former
had
less
recovery
ability
than
latter.
urban
systems
sharply
declined
first
40
h
showed
no
signs
recovery,
remaining
at
low
level.
In
some
regions,
tolerance
duration
all
land
use
types
exceeded
upper
threshold.
western
part
higher
other
whereas
southern
region
lower
compared
northern
region.
terrain
were
main
factors
affecting
resilience.
findings
this
provide
basis
deeper
understanding
evolution
patterns
precisely
guiding
management
projects
watershed.
Language: Английский