Land,
Journal Year:
2024,
Volume and Issue:
13(12), P. 2048 - 2048
Published: Nov. 29, 2024
Studying
the
response
of
runoff
to
climate
change
and
land
use/cover
has
guiding
significance
for
watershed
planning,
water
resource
ecological
environment
protection.
Especially
in
Yellow
River
Basin,
which
a
variable
fragile
ecology,
such
research
is
more
important.
This
article
takes
Huangfuchuan
Basin
(HFCRB)
middle
reaches
as
area,
analyzes
impact
scenarios
on
by
constructing
SWAT
model.
Using
CMIP6
GCMs
obtain
future
data
CA–Markov
model
predict
use
data,
two
are
coupled
estimate
process
HFCRB,
uncertainty
estimated
decomposed
quantified.
The
results
were
follows:
①
good
adaptability
HFCRB.
During
calibrated
period
validation
period,
R2
≥
0.84,
NSE
0.8,
|PBIAS|
≤
17.5%,
all
meet
evaluation
criteria.
②
There
negative
correlation
between
temperature
runoff,
positive
precipitation
runoff.
Runoff
sensitive
rise
increase.
③
types
order
cultivated
>
grassland
forest
land.
④
variation
range
under
combined
effects
LUCC
that
single
or
scenarios.
increase
SSP126,
SSP245,
SSP585
10.57%,
25.55%,
31.28%,
respectively.
Precipitation
main
factor
affecting
changes
Model
source
prediction.
Environmental Research Letters,
Journal Year:
2024,
Volume and Issue:
19(5), P. 054029 - 054029
Published: April 15, 2024
Abstract
Quantifying
uncertainty
in
simulations
of
surface
wind
speed
(SWS)
has
significant
implications
for
its
applications.
Here,
we
examine
the
SWS
changes
from
6th
coupled
model
intercomparison
project
(CMIP6)
outputs,
and
analyzed
simulation
uncertainties
CMIP6
both
historical
period
future
projections.
The
results
show
that
trend
interannual
variability
are
underestimated
CMIP6.
over
most
Northern
Hemisphere
will
reduce
by
4%–6%
under
high
emission
scenario
last
21st
Century,
whereas
it
increase
6%–10%
South
America
Southeastern
Pacific.
Over
land,
majority
projection
is
dominated
uncertainty,
followed
internal
uncertainty.
ocean,
greatly
influenced
variability,
with
accounting
around
20%
total
late
century.
Hydrological Processes,
Journal Year:
2025,
Volume and Issue:
39(2)
Published: Feb. 1, 2025
ABSTRACT
The
geographical
uniqueness
of
the
Qinghai–Tibet
Plateau
(QTP)
determines
its
significance
as
‘Asia's
Water
Tower’.
It
is
expected
that
climate
change
in
this
area
will
cause
extreme
weather
occurrences,
stress
water
resources
and
increase
vulnerability
ecosystems
future.
However,
precise
quantitative
impact
on
QTP
remains
uncertain.
In
study,
using
coupled
model
intercomparison
project
(CMIP)
phase
6
multi‐model
data
a
distributed
time‐variant
gain
hydrological
(DTVGM),
we
examined
spatiotemporal
attributes
hydrology
across
under
various
socioeconomic
progress
trajectories
greenhouse
gas
emission
scenarios
(SSP1‐2.6,
SSP2‐4.5,
SSP3‐7.0
SSP5‐8.5).
Over
next
80
years,
an
overall
warming
trend
was
observed
QTP,
accompanied
by
decrease
annual
total
resources.
drier
arid
regions,
wetter
are
humid
regions
future
QTP.
Runoff
74.92%
region,
evaporation
84.93%
from
2020
to
2099.
SSP5‐8.5,
precipitation
rate
−6.22
mm/10a,
runoff
−8.84
mm/10a.
After
year
abrupt
(2052–2064),
became
significantly
faster.
approximately
58.00%
surface
runoff.
Unlike
trend,
displayed
fluctuating
upward
pattern,
with
average
2.78
Spatially,
variations
dry–wet
conditions
more
evident,
showing
substantial
noteworthy
northeastern
plateau.
southeastern
region
Yarlung
Tsangpo
River
Basin,
rates
were
notably
higher
than
those
other
regions.
Moreover,
there
significant
surge
areas
adjacent
glaciers.
conclusion,
study
offers
valuable
insights
into
decision‐making
concerning
developmental
region.
Water Resources Research,
Journal Year:
2025,
Volume and Issue:
61(3)
Published: Feb. 27, 2025
Abstract
In
the
context
of
climate
warming,
runoff
changes
in
Tianshan
Mountains
vary
widely
across
basins,
with
both
increasing
and
decreasing
trends.
However,
underlying
mechanisms
remain
to
be
elucidated
due
complexity
response
components
(rainfall
runoff,
snowmelt
glacier
runoff)
change.
Here,
we
quantified
effects
historical
(1982–2015)
precipitation
temperature
on
its
projected
future
(2016–2100)
25
basins
diverse
coverage
Mountains.
A
multivariate
calibration
scheme
was
used
constrain
hydrologic
model
generate
reasonable
component
partitioning.
Our
results
indicate
that
responses
are
highly
correlated
extent
at
basin
scale.
Future
trends
moderately
glacierized
depend
largely
magnitude
warming:
tending
decrease
under
low
warming
scenario
increase
high
scenario.
contrast,
is
expected
increased
precipitation.
Moreover,
contribution
R
negligible
(<5%)
most
by
end
this
century
(2071–2100),
posing
a
challenge
stability
regional
water
supplies.
Earth s Future,
Journal Year:
2025,
Volume and Issue:
13(4)
Published: April 1, 2025
Abstract
The
U.S.
water
supply
and
carbon
sequestration
are
increasingly
threatened
by
future
climate
change
air
pollution.
This
study
investigates
the
ecohydrological
responses
to
individual
combined
impacts
of
anthropogenic
emission
(referring
only
pollutants,
excluding
greenhouse
gases)
changes
at
two
spatial
scales
coupling
a
regional
online‐coupled
meteorology
chemistry
model
(WRF‐Chem)
balance
(WaSSI).
Combined
effects
in
2046–2055
relative
2001–2010
over
US
enhance
hydrological
cycle
sequestration.
However,
drying
trend
occurs
central
part
western
Climate
is
projected
dominate
most
regions.
Anthropogenic
under
conditions
cools
down
inland
resource
regions
with
0.01–0.15°C,
moisturizes
east
dry
west
More
stringent
control
enhances
precipitation
ecosystem
production
but
has
an
opposite
modeling
California
North
Carolina
based
on
4‐km
resolution
meteorological
data
2050
2005
shows
varying
magnitudes
patterns
compared
results
36‐km
data.
Projected
pollutant
emissions
may
accelerate
climatic
warming
coastal
areas
state
New
Mexico
decrease
precipitation,
runoff,
Strategies
address
possible
problems
such
as
heatwaves,
stress,
productivity
should
consider
interplay
between
quality
different
scales.
Journal of Geophysical Research Atmospheres,
Journal Year:
2024,
Volume and Issue:
129(7)
Published: April 8, 2024
Abstract
The
quantification
of
uncertainties
in
runoff
over
the
Tibetan
Plateau
(TP),
simulated
by
land
surface
models
(LSMs),
is
paramount
importance
for
effective
water
resources
management
within
this
region.
However,
interactions
processes
on
runoff,
where
effectiveness
one
process
depends
chosen
scheme
another,
have
rarely
been
studied.
To
address
gap,
we
conducted
ensemble
simulations
with
Noah‐MP
(Noah
multiparameterization)
LSM
varying
optional
parameterization
schemes
six
and
quantified
sensitivities
to
these
processes.
Results
showed
that
TP
was
most
sensitive
RUN
(runoff‐groundwater)
process.
interplay
FRO
(frozen
soil
permeability)
accounted
up
30%
variation
annual
mean
TP's
permafrost
regions.
VEG
(dynamic
vegetation)
summer
autumn
subsurface
exceeded
10%
southeast
TP.
In
regions
among
significantly
affected
observed
elevated
model
errors
reduced
controllability.
Therefore,
study
underscores
imperative
need
categorize
based
as
a
foundational
step
toward
enhancing
performance
LSMs.
Prioritizing
improvements
physics
should
be
particularly
directed
marked
high
interactions.